Tuesday, June 16, 2026

Critical Copilot vulnerability allowed hackers to seal 2FA code from users


<p>Last Tuesday, Microsoft patched a vulnerability it rated as max critical in its M365 Copilot AI platform. On Monday, the researchers who discovered the vulnerability and reported it to Microsoft revealed how their proof-of-concept exploit could retrieve 2FA codes and other sensitive data from emails accessible to Copilot.</p> <p>Microsoft and other LLM providers have been unable to prevent their products from complying with malicious requests to reveal data. The root cause: AI bots are unable to distinguish between instructions provided by users and those snuck into third-party content the models are summarizing, drafting responses to, or using to perform other actions on behalf of the user. With no way to secure this crucial boundary, Microsoft and its peers are left to erect complicated and ad hoc guardrails designed to rein in the consequences of this incurable gullibility.</p> <h2>Jumping over guardrails</h2> <p>One guardrail built into Copilot and most other LLMs prevents them from submitting web forms, sending emails, and taking similar actions that can be used to exfiltrate data from the user. To work around this, LLM hackers turned to markup language, which, among other things, allows users to add formatting elements such as headings, lists, and links to text without the need for HTML tags. Another workaround is to wrap sensitive data inside HTML tags such as &lt;img&gt; and &lt;form&gt;. In either case, a web request showing the data hits the attacker’s web server, where the secret information is captured in logs.</p><p><a href="https://arstechnica.com/security/2026/06/critical-copilot-vulnerability-allowed-hackers-to-seal-2fa-code-from-users/">Read full article</a></p> <p><a href="https://arstechnica.com/security/2026/06/critical-copilot-vulnerability-allowed-hackers-to-seal-2fa-code-from-users/#comments">Comments</a></p> Reference : https://ift.tt/akMBpOf

Monday, June 15, 2026

Engineering Is Critical to Boosting Food Security


<img src="https://spectrum.ieee.org/media-library/illustration-of-a-drone-being-used-to-collect-crop-data-on-a-wheat-farm.jpg?id=66888131&width=1245&height=700&coordinates=0%2C156%2C0%2C157"/><br/><br/><p>Nearly 750 million people face hunger today, according to the <a href="https://www.wfp.org/" rel="noopener noreferrer" target="_blank">U.N. World Food Program</a>. And by 2050, global demand for food is expected to <a href="https://research.wri.org/wrr-food" rel="noopener noreferrer" target="_blank">increase by 50 percent from 2010 levels</a>, the <a href="https://www.wri.org/" rel="noopener noreferrer" target="_blank">World Resources Institute</a> says.</p><p>A <a href="https://spectrum.ieee.org/precision-agriculture" target="_self">smart agriculture</a> special-issue report recently released by the IEEE <a href="https://smartag.ieee.org/about/" rel="noopener noreferrer" target="_blank">Smart Agri-Food Initiative</a> says meeting the demand will require technology to expand food production. The report highlights research, case studies, and new ways of applying technology to inform farmers, engineers, and policymakers.</p><p>Leading the initiative is IEEE Fellow <a href="https://engineering.msu.edu/directory/faculty/johnv" rel="noopener noreferrer" target="_blank">John Verboncoeur</a>, chair of the smart-food program and professor of electrical and computer engineering at <a href="https://msu.edu/" rel="noopener noreferrer" target="_blank">Michigan State University</a>, in East Lansing.</p><p>“Food security is becoming a systems-engineering problem,” Verboncoeur says. “We’re no longer talking only about tractors and irrigation. We’re talking about sensing, communications, computation, automation, and sustainability all working together.”</p><p>Although not formally trained as an agriculture scientist, Verboncoeur’s first involvement with smart agriculture was as an undergraduate at <a href="https://www.ufl.edu/" rel="noopener noreferrer" target="_blank">University of Florida</a> in 1985-86, where he helped develop an SmartAg aeroponics system for <a href="https://www.nasa.gov/" rel="noopener noreferrer" target="_blank">NASA</a> for the <a href="https://www.space.com/space-exploration/missions/international-space-station" rel="noopener noreferrer" target="_blank">International Space Station</a>. It used mist to spray the plants’ roots and lightweight pneumatic structures to hold the vegetation in place.</p><p>He has also chaired the executive committee of Michigan State’s <a href="https://engineering.msu.edu/news/smartag-initiative" rel="noopener noreferrer" target="_blank">SmartAg Initiative</a> since it launched in 2017. He chaired the program’s leading interdisciplinary efforts to apply engineering and digital technologies to farming and food systems.</p><p>Verboncoeur connects the shift of using engineering as a force multiplier for farming to lessons learned from <a href="https://smartvillage.ieee.org/" rel="noopener noreferrer" target="_blank">the IEEE Smart Village</a> program, which supports projects and organizations bringing electricity and educational and employment opportunities to remote communities. Agriculture, he argues, requires the same systems-level mindset.</p><p>“The challenge isn’t just inventing technology,” he says. “It’s making systems practical, affordable, and deployable.”</p><h2>From digital twins to autonomous harvesting</h2><p>A central theme across the Smart Agri-Food Systems report is the convergence of <a href="https://spectrum.ieee.org/tag/automation" target="_self">automation</a>, <a href="https://spectrum.ieee.org/tag/data-analytics" target="_self">data analytics</a>, and <a href="https://spectrum.ieee.org/tag/sustainability" target="_self">sustainability</a>.</p><p>One paper, “<a href="https://ieeexplore.ieee.org/document/10757158" rel="noopener noreferrer" target="_blank">Smart Agriculture, Precision Agriculture, Digital Twins in Agriculture: Similarities and Differences</a>,” addresses the confusion regarding how researchers and practitioners define and apply the technologies to farming.</p><p>The paper was written by <a href="https://scholar.google.com/citations?user=g4uefZ8AAAAJ&hl=tr" rel="noopener noreferrer" target="_blank">Dilan Onat Alakuş</a>, a research assistant in the software engineering department at <a href="https://www.klu.edu.tr/dil/en" rel="noopener noreferrer" target="_blank">Kırklareli University</a>, in Türkiye, and <a href="https://abs.firat.edu.tr/en/iturkoglu" rel="noopener noreferrer" target="_blank">Ibrahim Türkoğlu</a>, a software engineering professor at <a href="https://www.firat.edu.tr/en" rel="noopener noreferrer" target="_blank">Fırat University</a>, in Elazığ, Türkiye.</p><p>Unclear terminology can lead to inefficient investment and poor adoption of the technologies, the two authors say. They note that agricultural methods based on traditional practices and intuition lack a thorough analysis of their environmental and economic impacts.</p><p>They describe how three technologies can benefit farmers:</p><p>• <a href="https://www.ibm.com/think/topics/smart-farming" rel="noopener noreferrer" target="_blank">Smart agriculture</a> systems integrate sensors, artificial intelligence, robotics, and analytics to improve efficiency and sustainability at scale.</p><p>• <a href="https://www.nifa.usda.gov/grants/programs/precision-geospatial-sensor-technologies-programs/precision-agriculture-crop-production" rel="noopener noreferrer" target="_blank">Precision agriculture</a> focuses on location-specific decisions. Farmers use GPS-guided equipment to map fields, deploy drones to monitor crop health, and install field sensors that track soil moisture and nutrient levels in targeted zones. The tools allow farmers to apply water, fertilizer, and pesticides only where needed—which can reduce waste and lessen environmental impact.</p><p>• <a href="https://stories.tamu.edu/stories/revolutionizing-farming-with-digital-twin-technology/" rel="noopener noreferrer" target="_blank">Digital twins</a> create virtual replicas of an agricultural area. The resulting models simulate the farmstead, crops, and irrigation systems, allowing growers to test scenarios and predict outcomes before implementing changes.</p><p>The authors emphasize that the categories overlap in practice. A digital twin might draw data from precision agriculture systems and feed recommendations into smart agriculture platforms.</p><p>Clearer distinctions help farmers select appropriate tools and avoid unnecessary complexity and costs, they say.</p><p>“This study contributed to conscious agricultural practices by differentiating agricultural technologies,” they wrote, adding that clearer definitions can increase productivity.</p><h2>Smart farming in practice</h2><p>The report shifts from theory to application in a paper describing <em><em>bustani</em></em>, which means <em><em>my garden</em></em> in Arabic. The <a href="https://www.siemens.com/en-us/company/insights/bustanica-smart-sustainable-food-production/" rel="noopener noreferrer" target="_blank">Bustanica</a> project in Saudi Arabia is an automated <a href="https://naes.unr.edu/publication.aspx?PubID=2756" rel="noopener noreferrer" target="_blank">hydroponic</a> vertical farming system developed by researchers at the <a href="https://www.pmu.edu.sa/" rel="noopener noreferrer" target="_blank">Prince Mohammad Bin Fahd University</a>, in Al-Khobar, Saudi Arabia. The “<a href="https://ieeexplore.ieee.org/document/10262605" rel="noopener noreferrer" target="_blank">Bustani: A Microcontroller-Based Automated Hydroponic Vertical Farming Solution</a>” paper was written by Hussah Alotaibi, a computer engineer at <a href="https://www.aramco.com/" rel="noopener noreferrer" target="_blank">Saudi Aramco</a>, the country’s national oil company; <a href="https://faculty.pmu.edu.sa/PMUFaculties/Details/abashar" rel="noopener noreferrer" target="_blank">Abul Bashar</a>, Widad Karsou, and Shehvar Khan, researchers in the university’s computer engineering and computer science department; and <a href="https://www.linkedin.com/in/salahudeantohmeh/" rel="noopener noreferrer" target="_blank">Salahudean Tohmeh</a> from the university’s robotics laboratory.</p><p>The Bustanica system combines hydroponics with <a href="https://modernfarmer.com/2018/07/how-does-aeroponics-work/" rel="noopener noreferrer" target="_blank">aeroponics</a>, in which plant roots hang in the air and receive nutrients through a misting system. Together, the approaches allow crops to grow in compact indoor environments, using far less water than traditional methods.</p><p>The method integrates IoT sensors that continuously monitor water chemistry and reservoir conditions.</p><p>The system grows crops in controlled indoor environments. A closed-loop design recirculates water to reduce waste. Sensors measure pH levels, nutrient concentration, and water levels. An <a href="https://store-usa.arduino.cc/products/arduino-mega-2560-rev3?srsltid=AfmBOoo0R26HAmA6wzpWcLox4xblaJMN5pJd3LrQ9-WxRSNeOFexbpg_" rel="noopener noreferrer" target="_blank">Arduino Mega</a> processes the sensor data. A <a href="https://store-usa.arduino.cc/products/nodemcu-esp8266?srsltid=AfmBOooGec0X-8y74JWHtORpxFCN-kITJ_YiiUZfFC8_GcmiBYh0RlwV" rel="noopener noreferrer" target="_blank">NodeMCU</a> <a href="https://store-usa.arduino.cc/products/nodemcu-esp8266?srsltid=AfmBOooGec0X-8y74JWHtORpxFCN-kITJ_YiiUZfFC8_GcmiBYh0RlwV" rel="noopener noreferrer" target="_blank">ESP8266</a>—a low-cost, open-source IoT platform—handles Wi-Fi communication and cloud connectivity.</p><p>The system sends the data through Google’s <a href="https://firebase.google.com/firebase-and-gcp" rel="noopener noreferrer" target="_blank">Firebase cloud platform</a>, which acts as a real-time bridge between sensors and control systems.</p><p>A mobile app lets users monitor and control the system remotely. It displays real-time data on lighting, nutrient levels, and water pump activity. When conditions move outside optimal ranges, automated dosing pumps adjust the levels as needed.</p><p class="pull-quote">Engineering can’t solve all the world’s problems. But it absolutely has a role to play in helping the world feed itself.” <strong>—<a href="https://engineering.msu.edu/directory/faculty/johnv" target="_blank">John Verboncoeur</a>, chair of the IEEE Smart Agri-Food initiative</strong></p><p>The system operates as a feedback loop, collecting data, transmitting it to the cloud, analyzing the conditions, and automatically triggering adjustments.</p><p>LEDs simulate sunlight. Ultrasonic sensors measure water levels. Electrical conductivity sensors track nutrient concentration. During testing, the system maintained stable environmental conditions and adjusted dosing dynamically as readings changed.</p><p>The authors describe the outcome as “a fully functional and automated vertical sustainable farm that creates desirable growing conditions, along with an <a href="https://developer.android.com/" rel="noopener noreferrer" target="_blank">Android application</a> that provides real-time monitoring and notifications.”</p><p>Beyond automation, bustani reflects a broader shift toward merging agriculture with consumer technology and smart-home systems. Future plans include integrating the <a href="https://apps.apple.com/us/app/amazon-alexa/id944011620" rel="noopener noreferrer" target="_blank">Amazon Alexa</a> virtual assistant and machine learning tools for plant disease detection and growth analysis.</p><h2>Robotics and labor challenges</h2><p>The “<a href="https://ieeexplore.ieee.org/document/9328092" rel="noopener noreferrer" target="_blank">Toward an Efficient Tomato Harvesting Robot</a>” paper addresses autonomous harvesting, a long-standing challenge in agricultural robotics. Tomatoes in the field vary widely in size, shape, and ripeness, and they can bruise during handling. The paper was written by IEEE Senior Member <a href="https://www.researchgate.net/profile/Hyoung-Son" rel="noopener noreferrer" target="_blank">Hyoung Il Son</a>—a professor of biosystems engineering and robotics at <a href="https://global.jnu.ac.kr/jnumain_en.aspx" rel="noopener noreferrer" target="_blank">Chonnam National University</a> in Gwangju, South Korea—and his graduate students Jongpyo Jun, Jeongin Kim, and Jaehwi Seol.</p><p>The paper describes how robotics is increasingly being used to target crops once considered too delicate or variable for automation.</p><p>The researcher combined <a href="https://spectrum.ieee.org/tag/machine-vision" target="_self">3D machine vision</a>,<a href="https://spectrum.ieee.org/robots-getting-a-grip-on-general-manipulation" target="_self"> </a><a href="https://spectrum.ieee.org/tag/robotic-arm" target="_self">robotic arms</a>, <a href="https://spectrum.ieee.org/robots-getting-a-grip-on-general-manipulation" target="_self">suction-based grippers</a>, and rotating cutting tools to build a harvesting machine capable of operating in unstructured outdoor environments. The system aims to reduce reliance on manual labor while improving harvesting efficiency and consistency.</p><h2>Agriculture as a systems problem</h2><p>Verboncoeur says the developments highlighted in the papers reflect a broad transformation in how engineers view the agricultural industry.</p><p>“Agriculture used to be seen primarily as managing the challenges of planting, watering, and fertilizing plants, and using machines to make the process less labor-intensive,” he says. “Now it’s also a data problem, a communications problem, an energy problem, and a resilience problem.”</p><p>Another featured paper, “<a href="https://ieeexplore.ieee.org/document/9823634" rel="noopener noreferrer" target="_blank">Sustainable and Smart Agriculture: A Holistic Approach</a>,” examines how technology can address environmental and demographic pressures. The paper was written by Surender Singh and Sannihit , researchers at the computer science and engineering and the civil engineering departments at <a href="https://www.cuchd.in/" rel="noopener noreferrer" target="_blank">Chandigarh University</a>, in Mohali, India.</p><p>Farmers must increase food production while reducing environmental damage from depleting water resources, overapplication of fertilizer, deforestation, and greenhouse gas emissions, the authors say. They describe smart farming as “a revolution in food production” that can allow farmers to generate higher yields from existing resources through connected technologies and data systems.</p><p>The authors highlighted the issue of rapid urbanization. By 2050, they report, nearly 70 percent of the global population will live in cities, increasing pressure on food supply chains and distribution systems.</p><p><a href="https://spectrum.ieee.org/tag/wireless-networks" target="_self">Wireless sensor networks</a> will play a central role in the transformation, the researchers say. The networks use small, connected devices to monitor soil moisture, temperature, humidity, light intensity, and crop conditions. The system transmits the data to cloud platforms, where <a href="https://www.sciencedirect.com/science/article/pii/S2667318521000106" rel="noopener noreferrer" target="_blank">machine learning models</a> analyze trends and recommend actions.</p><p>The authors emphasize that decision support, not automation alone, drives the greatest value of crop harvest. Farmers can integrate the information into crop management strategies to improve productivity while reducing their environmental impact.</p><p>They also note increasing collaboration between industry leaders such as <a href="https://www.cat.com/en_US/by-industry/agriculture.html" rel="noopener noreferrer" target="_blank">Caterpillar</a>, <a href="https://www.cnh.com/" rel="noopener noreferrer" target="_blank">CNH</a>, <a href="https://www.deere.com/en/attachments-accessories-and-implements/riding-mower-attachments/?CID=PPC_MDS_RLE_enUS_r00203_6750007&gclsrc=aw.ds&gad_source=1&gad_campaignid=23567875588&gbraid=0AAAAADJlG2AVOkwf8jCPTL3Is7RpWpuxP&gclid=CjwKCAjwwpDQBhAuEiwAa-4WowUzQ4o3w2BdVyCxuJfxtXaK9rQw8pBa5ZteOqvaNPIr9M_v55wKNxoCqmAQAvD_BwE" rel="noopener noreferrer" target="_blank">John Deere</a>, and <a href="https://www.kubota.com/" rel="noopener noreferrer" target="_blank">Kubota</a> and technology companies including <a href="https://www.bosch.com/" rel="noopener noreferrer" target="_blank">Bosch</a>, <a href="https://www.google.com/" rel="noopener noreferrer" target="_blank">Google</a>, <a href="https://www.intel.com/content/www/us/en/homepage.html" rel="noopener noreferrer" target="_blank">Intel</a>, and <a href="https://www.microsoft.com/" rel="noopener noreferrer" target="_blank">Microsoft</a>. Challenges remain, however, in communication reliability, sensor cost, and scalable data infrastructure, the authors say.</p><h2>SmartAg beyond the farm</h2><p>The implications of the tech advances that make farming more efficient extend beyond agriculture. Many of the same technologies—remote sensing, wireless sensor networks, AI analytics, and cloud platforms—support <a href="https://spectrum.ieee.org/topic/transportation/" target="_self">transportation</a>, <a href="https://spectrum.ieee.org/topic/energy/" target="_self">energy</a>, and industrial systems.</p><p>The convergence explains IEEE’s growing involvement. Modern agriculture now combines electronics, <a href="https://spectrum.ieee.org/tag/communications" target="_self">communications</a>, <a href="https://spectrum.ieee.org/topic/computing/" target="_self">computing</a>, and <a href="https://spectrum.ieee.org/tag/control-systems" target="_self">control systems</a>.</p><p>Agriculture requires that integration, Verboncoeur says: “The challenge isn’t just inventing technology. It’s making systems practical, affordable, and deployable.”</p><h2>What’s next for smart agriculture?</h2><p>The special issue marks an early stage for the IEEE Smart Agri-Food initiative, which plans to develop <a href="https://www.osha.gov/agricultural-operations/standards" rel="noopener noreferrer" target="_blank">standards</a>; create structured ways for farmers, researchers, governments, and agribusinesses to work together; and devise deployment strategies for smart systems.</p><p>Future research is likely to focus on interoperability between platforms, data sharing, and scalable deployment models. Digital twins are expected to play a larger role as computing power and sensor density increase. Simulating agricultural systems before applying changes in the field will become commonplace, experts predict.</p><p>Adoption depends on more than technical capability, though. The central tension moving forward lies between innovation and practicality.</p><p>“Farmers face challenges in adopting such technology due to cost, electricity availability, communication infrastructure, and vulnerability of connected devices,” Singh and Sannihit wrote.</p><p>Smart agriculture offers improved efficiency, in addition to reducing the inputs of water, fertilizer, and time that would otherwise be spent on tasks machines can handle autonomously. But the benefits matter only if systems function reliably across diverse environments—from industrial farms to small, family-run operations in food-insecure regions.</p><p>For IEEE, agriculture now sits within core engineering domains. The stakes extend beyond technology itself, Verboncoeur says.</p><p>He adds that: “Food insecurity affects stability, health, education, and economic development. Engineering can’t solve all the world’s problems, but it absolutely has a role to play in helping the world feed itself.”</p> Reference: https://ift.tt/RFz4Gvy

Users cry foul after AMD stripped memory crypto from its consumer CPUs


<p>A decade ago, AMD added a protection to its high-end CPUs to protect them against <a href="https://en.wikipedia.org/wiki/Cold_boot_attack">cold boot</a> attacks and other types of physical exploits that siphon sensitive data out of the connected memory chips. Short for Transparent Secure Memory Encryption, TSME encrypts the entire contents stored in memory, making the data useless to physical attackers.</p> <p>Over time, AMD added TSME to lower-end processors, including the consumer version of its Ryzen chips, a CPU that costs less than the Pro version. Over the years, users of these lower-end chips have gotten used to the added security. Recently and without warning or notice, this lower-end line of AMD chips suddenly dropped the protection, and did so in a way that was impossible to detect on Windows machines and required a fair amount of technical work when using Linux.</p> <h2>Now you see it, now you don't</h2> <p>AMD has yet to say why TSME worked on these CPUs, or even to confirm the change. AMD declined to answer questions sent by email other than to say TSME "is a security feature only applied to PRO CPUs as part of AMD PRO Technologies." The statement is the first known time the chipmaker has explicitly made this restriction public.</p><p><a href="https://arstechnica.com/security/2026/06/users-cry-foul-after-amd-stripped-memory-crypto-from-its-consumer-cpus/">Read full article</a></p> <p><a href="https://arstechnica.com/security/2026/06/users-cry-foul-after-amd-stripped-memory-crypto-from-its-consumer-cpus/#comments">Comments</a></p> Reference : https://ift.tt/BLUmyS6

This 1976 University Experiment Spun Up the U.S. Wind Industry


<img src="https://spectrum.ieee.org/media-library/a-man-and-a-woman-wearing-dressy-winter-coats-watch-a-crew-of-informally-dressed-men-working-on-the-construction-of-a-wind-turbi.jpg?id=66894045&width=1245&height=700&coordinates=0%2C62%2C0%2C63"/><br/><br/><p><strong>A half century ago, </strong>a scrappy crew at the University of Massachusetts Amherst erected a wind turbine on Orchard Hill, the highest point on campus. It was a frugal production, cobbled together from the rear axle of a Ford truck, a donated generator and microcontroller, a steam pipe, and various handcrafted steel and fiberglass parts, including its 4.5-meter blades.</p><div class="rm-embed embed-media"><iframe height="110px" id="noa-web-audio-player" src="https://embed-player.newsoveraudio.com/v4?key=q5m19e&id=https://spectrum.ieee.org/william-heronemus-wind-energy&bgColor=F5F5F5&color=1b1b1c&playColor=1b1b1c&progressBgColor=F5F5F5&progressBorderColor=bdbbbb&titleColor=1b1b1c&timeColor=1b1b1c&speedColor=1b1b1c&noaLinkColor=556B7D&noaLinkHighlightColor=FF4B00&feedbackButton=false" style="border: none" width="100%"></iframe></div><p>The team of <a href="https://www.umass.edu/" target="_blank">UMass</a> engineering grad students, faculty advisors, and one precocious undergrad built it to prove that wind energy could keep rural homes toasty in New England’s frigid winters, as a way of trimming U.S. oil dependence—a national imperative in the aftermath of the 1973–1974 energy crisis. To illustrate the point, they also assembled a modular home there on Orchard Hill, and outfitted it with heaters that would be powered by the turbine.</p><p class="shortcode-media shortcode-media-rebelmouse-image"> <img alt="Nine men standing and sitting on scaffolding that holds up the rotor and blades of a wind turbine" class="rm-shortcode" data-rm-shortcode-id="2fe8307b7317d6799f5adc56fd1fa009" data-rm-shortcode-name="rebelmouse-image" id="e44af" loading="lazy" src="https://spectrum.ieee.org/media-library/nine-men-standing-and-sitting-on-scaffolding-that-holds-up-the-rotor-and-blades-of-a-wind-turbine.jpg?id=66893951&width=980"/> <small class="image-media media-caption" placeholder="Add Photo Caption...">In 1975 and 1976, a crew from the University of Massachusetts Amherst designed and constructed the 25-kilowatt wind turbine that kick-started the U.S. wind industry. </small><small class="image-media media-photo-credit" placeholder="Add Photo Credit..."> Sandy Butterfield </small></p><p>It worked—too well. “We had to open up the doors in the dead of winter. It was just too damn hot,” recalls <a href="https://www.linkedin.com/in/medds/" target="_blank">Michael Edds</a>, who designed the turbine’s electrical system and served as the project’s first resident engineer. Fittingly, they dubbed the turbine the “Wind Furnace.”</p><p>The turbine maxed out at 25 kilowatts—puny compared to modern machines that generate up to 26 <em><em>mega</em></em>watts, but more than most energy experts expected from wind technology in November 1976. Back then, wind power still conjured up images of quaint Dutch mills and creaky prairie water pumpers. Crafty engineers would soon show that wind power could be so much more. And it all began with the brilliant, commanding, and often polarizing UMass professor leading the Wind Furnace project: William Heronemus.</p><p>A retired U.S. Navy captain, Heronemus had joined the UMass faculty in 1967. He’d earned Bronze Stars for valor in World War II, designed and built nuclear submarines, and liaised with the British Royal Navy on the Polaris missile. UMass had recruited Heronemus to do ocean engineering, but the energy crisis and his growing misgivings about nuclear power shifted his attention to renewable energy.</p><p class="shortcode-media shortcode-media-rebelmouse-image rm-float-left rm-resized-container rm-resized-container-25" data-rm-resized-container="25%" style="float: left;"> <img alt="A man in a suit jacket leaning over a map that\u2019s rolled out on a table " class="rm-shortcode" data-rm-shortcode-id="ac598e732203be24bce9d209cc12f7e3" data-rm-shortcode-name="rebelmouse-image" id="6061c" loading="lazy" src="https://spectrum.ieee.org/media-library/a-man-in-a-suit-jacket-leaning-over-a-map-that-u2019s-rolled-out-on-a-table.jpg?id=66894051&width=980"/> <small class="image-media media-caption" placeholder="Add Photo Caption...">Heronemus, photographed circa 1973, publicly advocated for the buildout of wind turbines, both onshore and off, at immense scale. </small><small class="image-media media-photo-credit" placeholder="Add Photo Credit...">Robert S. Cox Special Collections and University Archives Research Center/UMass Amherst Libraries </small></p><p>By 1972, Heronemus was advancing detailed designs to deploy wind turbines at immense scale. That year, at the Marine Technology Society’s annual gathering in Washington, D.C., he presented schemes for building thousands of them across the Great Plains as well as a vast grid of massive floating turbines transecting New England’s continental shelf. Wind power, he contended, could generate nearly a fifth of U.S. electricity needs by the year 2000. Never mind that the technology for such an enormous buildout had yet to be commercialized. Espousing grand schemes made Heronemus a quixotic figure.</p><p>He also vigorously attacked the commercialization of nuclear power, creating enemies within electric utilities and U.S. government agencies that saw nuclear technology as the future. They didn’t appreciate his claims that a cleaner energy future via wind was ready to be tapped, and that the push for nuclear power and its radiological risks was unnecessary. As author and energy analyst <a href="https://www.peterasmus.com/" target="_blank">Peter Asmus</a> put it in his 2000 book, <em><em>Reaping the Wind</em></em>: “<a href="https://www.umass.edu/windenergy/about/history/heronemus/index.html" target="_blank">William Heronemus</a> was a dangerous man suggesting an audacious departure from the status quo.”</p><p class="shortcode-media shortcode-media-rebelmouse-image"> <img alt="Modular home and wind turbine on a grassy hill on a sunny day " class="rm-shortcode" data-rm-shortcode-id="361cf08fb708d083a8bb3d373f3ccf4a" data-rm-shortcode-name="rebelmouse-image" id="0c4bb" loading="lazy" src="https://spectrum.ieee.org/media-library/modular-home-and-wind-turbine-on-a-grassy-hill-on-a-sunny-day.jpg?id=66894076&width=980"/> <small class="image-media media-caption" placeholder="Add Photo Caption...">The UMass Amherst wind turbine generated most of the energy to heat a modular home through the cold, windy winters on Orchard Hill. Solar thermal panels provided some heat during windless periods. </small><small class="image-media media-photo-credit" placeholder="Add Photo Credit...">Robert S. Cox Special Collections and University Archives Research Center/UMass Amherst Libraries</small></p><p>What happened on Orchard Hill in 1976 marked Heronemus’s turn from provocateur to changemaker. The success of the experimental turbine set off waves of technological and industrial developments that forever changed the energy landscape. Within a few years, the students he trained and the entrepreneurs he inspired were building the world’s first modern wind farms and leading the Great California Wind Rush—the market that turned wind craft into an industry that’s still growing fast half a century later.</p><p>Globally, annual wind generation more than tripled between 2015 and 2025, according to data from <a href="https://ember-energy.org/" target="_blank">Ember Energy</a>, a think tank based in London. It will best nuclear’s global output by the end of this year, Ember predicts. And it all started with Heronemus, says <a href="https://research-hub.nlr.gov/en/persons/robert-thresher/" target="_blank">Robert Thresher</a>, longtime former director of wind research at the National Renewable Energy Laboratory (NREL) in Golden, Colo. (a U.S. Department of Energy lab rebranded late last year as the <a href="https://research-hub.nlr.gov/en/persons/robert-thresher/" target="_blank">National Laboratory of the Rockies</a>). “In my mind he was the father of the people that went out and really made the industry what it is today,” he says.</p><h2>William Heronemus and the History of Wind Power</h2><p>I got to know Captain Heronemus posthumously, interviewing his contemporaries and sifting through boxes delivered to the UMass Amherst archival research center’s 25th-floor reading room. During three visits there since 2023, I have discovered clues to his life, thinking, and research process amid the writings where he pitched his big ideas to the world. His papers include proposals to governments, utilities, and deep-pocketed philanthropists and investors, including Jane Fonda and Goldman-Sachs. Papers reveal the internationalism and commitment to service that took Heronemus on renewable-energy consulting trips to Pakistan, Cuba, Côte d’Ivoire, and beyond. Records show meetings with corporate powerhouses like Boeing and Grumman Aerospace and calls on politicians, including the senator and presidential hopeful Ted Kennedy. Postcards from former students exude gratitude.</p><p class="shortcode-media shortcode-media-rebelmouse-image"> <img alt="Man sits in a chair at his desk, leaning back and holding his eye glasses " class="rm-shortcode" data-rm-shortcode-id="29d1d2c5d9c9df57024f6f25ff3ca227" data-rm-shortcode-name="rebelmouse-image" id="af5ec" loading="lazy" src="https://spectrum.ieee.org/media-library/man-sits-in-a-chair-at-his-desk-leaning-back-and-holding-his-eye-glasses.jpg?id=66894082&width=980"/> <small class="image-media media-caption" placeholder="Add Photo Caption...">Heronemus sits with a mock-up of a multirotor turbine in his cramped office in Marston Hall, UMass Amherst’s main engineering building. </small><small class="image-media media-photo-credit" placeholder="Add Photo Credit...">Robert S. Cox Special Collections and University Archives Research Center/UMass Amherst Libraries </small></p><p>I learned that Heronemus turned his attention from ocean engineering to energy a few years after arriving at UMass, when he saw the growing string of nuclear power plants going up along the Connecticut River, which flows past Amherst en route to Long Island Sound. The U.S. government had picked nuclear power as an antidote to the 1970s oil crises, and Northeast utilities had jumped in big. But Heronemus and other UMass engineers worried that the riverside reactors’ waste heat would threaten the river’s ecosystem and bounty.</p><p>The advent of cooling towers to blow off heat into the air addressed the thermal pollution concern but created another: water depletion. (Nuclear plants consume about 60 million gallons of water per day, per reactor, on average.) And Heronemus perceived other nuclear power liabilities, stemming from his experience with nuclear propulsion on Navy ships. As a design engineer and head of construction and repair for a shipyard, he valued the military’s zero-accident standard for reactors but also knew the high cost of adhering to it. He argued that building expanded versions of the Navy’s pressurized water reactors to power cities and factories couldn’t be both safe <em><em>and</em></em> economical.</p><p class="shortcode-media shortcode-media-rebelmouse-image"> <img alt="Hand-drawn sketch of three wind turbine rotors mounted on a single freestanding pole" class="rm-shortcode" data-rm-shortcode-id="b15b340ec25c8a3cf286b93fe970327d" data-rm-shortcode-name="rebelmouse-image" id="13605" loading="lazy" src="https://spectrum.ieee.org/media-library/hand-drawn-sketch-of-three-wind-turbine-rotors-mounted-on-a-single-freestanding-pole.jpg?id=66894094&width=980"/> <small class="image-media media-caption" placeholder="Add Photo Caption...">In 1971, Heronemus designed an offshore turbine with three rotors, but the first big multirotor prototype wouldn’t be built for another four decades. </small><small class="image-media media-photo-credit" placeholder="Add Photo Credit...">Robert S. Cox Special Collections and University Archives Research Center/UMass Amherst Libraries </small></p><p>He predicted—accurately, as it turned out—that costs would rise sharply as the nuclear industry addressed safety and environmental concerns. “Each plant costs more than its predecessor. The shipyards involved with nuclear reactors came to that conclusion years ago,” he wrote in a 1973 research proposal. He also argued that the risks inherent in nuclear reactors and their radioactive waste were unnecessary given Earth’s abundant solar and wind energy resources. He broadcast those views wherever and whenever he could: before congressional committees, at U.S. Atomic Energy Commission hearings, at academic conferences, in media interviews, and even at Rotary Club luncheons.</p><p>At a 1973 licensing hearing for the proposed 820-MW <a href="https://en.wikipedia.org/wiki/Shoreham_Nuclear_Power_Plant" target="_blank">Shoreham Nuclear Power Plant</a> on Long Island, N.Y., for example, Heronemus called affordable nuclear energy a “myth.” He detailed, in its stead, a floating wind power system that could be moored off Long Island and sized to deliver more than four times as much electricity as the Shoreham plant. Each of the 640 floating platforms would carry six rotors and crank out up to 12 MW, some of which would power electrolyzers to generate hydrogen. The hydrogen would be fed to power plants or fuel cells to produce electricity when the wind wasn’t blowing. This seemingly futuristic idea drew on his Navy experience with water-splitting electrolyzers, which supplied the oxygen that enabled subs to remain submerged for months at a time, and NASA’s use of hydrogen fuel cells to power the Apollo missions.</p><p>More than five decades later, his vision for offshore wind power is big business. Floating platforms are now widely accepted as the future of offshore wind, <a href="https://spectrum.ieee.org/floating-offshore-wind-turbine" target="_self">as necessity pushes the industry to build in deeper waters</a>. Testing began on <a href="https://spectrum.ieee.org/green-hydrogen-offshore-wind" target="_self">the first floating electrolysis platforms</a> in 2023, and multirotor turbine prototypes are in development in China, Norway and Scotland.</p><h2>The UMass Amherst Wind Turbine Legacy</h2><p>Photos in the UMass archives invariably capture Heronemus in jacket and tie, usually standing bolt straight. That commanding affect, plus his World War II veteran pedigree, Cold War engineering credentials, and his informed, pugnacious attacks made him a hard target for his adversaries in the nuclear establishment. He certainly wasn’t your typical antinuclear activist.</p><p class="shortcode-media shortcode-media-rebelmouse-image rm-float-left rm-resized-container rm-resized-container-25" data-rm-resized-container="25%" style="float: left;"> <img alt="A man in a suit standing very straight outsider a modular home" class="rm-shortcode" data-rm-shortcode-id="96d2b39c565092306041f3fd581d2638" data-rm-shortcode-name="rebelmouse-image" id="fd9ad" loading="lazy" src="https://spectrum.ieee.org/media-library/a-man-in-a-suit-standing-very-straight-outsider-a-modular-home.jpg?id=66894100&width=980"/> <small class="image-media media-caption" placeholder="Add Photo Caption...">Wielding his Cold War engineering credentials and often dressed in a suit and tie, Heronemus fought hard against nuclear energy, arguing that wind was a far safer and cost-competitive resource.</small><small class="image-media media-photo-credit" placeholder="Add Photo Credit...">Robert S. Cox Special Collections and University Archives Research Center/UMass Amherst Libraries </small></p><p>But brutal candor in public settings probably won him as many enemies as friends. Consider his presentation at the <a href="https://ieee-pes.org/" target="_blank">IEEE Power and Energy Society</a>’s 1974 winter meeting, where Heronemus suggested scrapping the utilities’ then nuclear-focused research arm, the <a href="https://www.epri.com/" target="_blank">Electric Power Research Institute</a>. That stance no doubt created discomfort for the engineers in attendance who were involved in EPRI projects, or who aspired to be.</p><p>It’s hard to say whether Heronemus’s campaign slowed nuclear development. The industry was already struggling with cost overruns when, in 1979, <a href="https://spectrum.ieee.org/three-mile-island" target="_self">a reactor at Three Mile Island</a> in Pennsylvania partially melted down and slammed the brakes on further expansion.</p><p>What is certain is that Heronemus spurred investment in wind power. When he started talking up wind in the early ’70s, even fellow travelers in the fledgling renewable energy movement were writing it off. As future White House science advisor <a href="https://www.hks.harvard.edu/faculty/john-holdren" target="_blank">John Holdren</a> opined in a 1971 <a href="https://www.sierraclub.org/" target="_blank">Sierra Club</a> book: “There are few places in the world where the wind is strong enough and steady enough to make harnessing it for the large-scale production of power at all interesting.”</p><p class="shortcode-media shortcode-media-rebelmouse-image"> <img alt="Hand-drawn sketch of a bridge-like structure across a highway containing five wind turbines that resemble giant fans" class="rm-shortcode" data-rm-shortcode-id="115d1e5e5724981c6df541b570415e05" data-rm-shortcode-name="rebelmouse-image" id="0ea43" loading="lazy" src="https://spectrum.ieee.org/media-library/hand-drawn-sketch-of-a-bridge-like-structure-across-a-highway-containing-five-wind-turbines-that-resemble-giant-fans.jpg?id=66894107&width=980"/> <small class="image-media media-caption" placeholder="Add Photo Caption...">Heronemus dreamed up networks of wind turbines over and along highways after driving down the Garden State Parkway to a conference in Cape May, New Jersey. </small><small class="image-media media-photo-credit" placeholder="Add Photo Credit...">Ellen Heronemus </small></p><p>Heronemus countered the naysayers by quickly forging expert consensus around wind power’s immense potential, playing a key role as the sole wind expert on a <a href="https://ntrs.nasa.gov/api/citations/19730018091/downloads/19730018091.pdf" target="_blank">1972 federal panel on renewable energy</a>. That joint National Science Foundation–NASA panel concluded that, in fact, wind could meet up to 19 percent of projected U.S. power demand by the year 2000.</p><p>Congress listened, sort of. After most Persian Gulf states restricted oil shipments to the United States in 1973, congressional appropriators dedicated US $1.8 million to wind-power research and development for 1974—up from zero—and by 1976 it had bumped that to $22 million. (For comparison, Congress gave nuclear power $714 million in 1976.)</p><p class="shortcode-media shortcode-media-rebelmouse-image"> <img alt="Hand-drawn sketch of a massive structure built over the length of a highway holding wind turbines that resemble giant fans " class="rm-shortcode" data-rm-shortcode-id="5dfe81607ae07e27818ac2c6cb26ddec" data-rm-shortcode-name="rebelmouse-image" id="9b105" loading="lazy" src="https://spectrum.ieee.org/media-library/hand-drawn-sketch-of-a-massive-structure-built-over-the-length-of-a-highway-holding-wind-turbines-that-resemble-giant-fans.jpg?id=66894112&width=980"/> <small class="image-media media-caption" placeholder="Add Photo Caption...">Heronemus’s vision for a massive highway wind-power scheme was inspired in part by the wind-power advocate Percy Thomas, who in the 1940s and 1950s “talked a lot about how fresh New Jersey winds are,” he told the New York Times in 1974. “I got to thinking about what Thomas had said and how wind energy could be captured there.” </small><small class="image-media media-photo-credit" placeholder="Add Photo Credit...">Ellen Heronemus </small></p><p>The bulk of the funding for wind power flowed to big aerospace firms and to NASA, financing an ultimately fruitless attempt to leap straight to megawatt-scale wind turbines. UMass struggled to grab a slice of the leftovers to pursue Heronemus’s offshore wind system. Professors and students who worked with Heronemus told me they felt they’d been blackballed as payback for his activism and antagonism.</p><p> UMass finally caught a funding break when Heronemus dialed back his ambitions and proposed the 25-kW unit for Orchard Hill. A $130,000 federal grant landed in early 1975, and $150,000 more the following year. It was a “trivial” sum, according to team member <a href="https://www.linkedin.com/in/sandy-butterfield-24b38513/" target="_blank">Sandy </a><a href="https://www.linkedin.com/in/sandy-butterfield-24b38513/" target="_blank">Butterfield</a>, who would later become chief engineer for wind-turbine testing at NREL. “They gave us just enough to fail,” says Butterfield.</p><p class="shortcode-media shortcode-media-rebelmouse-image"> <img alt="A crane in the midst of vertically erecting a wind turbine on a single pole " class="rm-shortcode" data-rm-shortcode-id="30e3242484b0502fe0192acbf79d476e" data-rm-shortcode-name="rebelmouse-image" id="53850" loading="lazy" src="https://spectrum.ieee.org/media-library/a-crane-in-the-midst-of-vertically-erecting-a-wind-turbine-on-a-single-pole.jpg?id=66894118&width=980"/> <small class="image-media media-caption" placeholder="Add Photo Caption...">A crane erects the “Wind Furnace” in November 1976. </small><small class="image-media media-photo-credit" placeholder="Add Photo Credit...">Sandy Butterfield </small></p><p>But the project triumphed, resulting in Wind Furnace 1, or WF-1 (pronounced “woof one”). The young engineers behind it credit their success to the confidence, sense of mission, and structure that Heronemus gave them. The self-described “hippies” called Heronemus “the Captain” out of both affection and respect.</p><p>As team member Edds puts it: “What showed in his demeanor and his actions was discipline, and it sort of rubbed off on us. We didn’t always dress like the Captain, but we knew we had to be disciplined, to be prepared, and just do the job.”</p><h2>From Helicopter Rotor to Wind Turbine</h2><p>Team WF-1 got a quick start, thanks to earlier, privately financed work by a couple of doctoral students, including <a href="https://scua.library.umass.edu/stoddard-forrest-s-1944/" target="_blank">Forrest “Woody” Stoddard</a>. Stoddard had been designing helicopter rotors for the U.S. Air Force when Heronemus invited him to come work on wind power in 1972. Stoddard set about adapting helicopter-rotor theory to the closely related wind rotors, and his aerodynamics modeling proved essential to the engineering of the entire machine.</p><p class="shortcode-media shortcode-media-rebelmouse-image"> <img alt="Six men squat around a turbine blade that\u2019s wrapped in plastic" class="rm-shortcode" data-rm-shortcode-id="4c5d3e60133bdecbe820fc563784772d" data-rm-shortcode-name="rebelmouse-image" id="2001a" loading="lazy" src="https://spectrum.ieee.org/media-library/six-men-squat-around-a-turbine-blade-that-u2019s-wrapped-in-plastic.jpg?id=66894134&width=980"/> <small class="image-media media-caption" placeholder="Add Photo Caption...">Woody Stoddard [far right, in hat] designed the fiberglass blades. The team assembled the blades in a campus shop, and when it was time to squeegee epoxy from the blades, it was all hands on deck. </small><small class="image-media media-photo-credit" placeholder="Add Photo Credit...">Robert S. Cox Special Collections and University Archives Research Center/UMass Amherst Libraries </small></p><p>As WF-1’s de facto chief designer, Stoddard likely supported the team’s early choice to mimic a helicopter’s ability to “pitch” its blades. To fly forward, a helicopter continuously adjusts the lift created by each blade, turning the airfoil on its long axis to reduce lift as it swings past the front of the aircraft. Doing so tilts the nose down and moves the vehicle forward. In WF-1’s case, blades pitched to regulate torque, helping get the rotor spinning in low winds and then easing off to protect the machine in dangerously high winds.</p><p>Repurposing a truck axle to mechanically couple WF-1’s rotor and generator was one of several design elements borrowed from engineers at <a href="https://www.mcgill.ca/" target="_blank">McGill University</a> in Montreal. Production of WF-1’s fiberglass blades got started at UMass in 1974 under the direction of doctoral student <a href="https://composite-eng.com/" target="_blank">Ted Van Dusen</a>. A competitive rower, he had a side hustle making ultralight composite boats—a trade that had stalled his doctoral work at MIT but was an accelerant for WF-1.</p><p>The federal funds in 1975 allowed Heronemus to really spin up the project and recruit a squad of students to engineer the balance of WF-1’s components. They made good use of the UMass engineering machine shop and received guidance from faculty, including mechanical engineering professors <a href="https://prabook.com/web/duane_ellis.cromack/230343" target="_blank">Duane Cromack</a> and <a href="https://scholar.google.com/citations?user=NmB8VIwAAAAJ&hl=en&oi=sra" target="_blank">Jon McGowan</a>. But it was the dozen or so students who really cranked out the parts.</p><p>Most were master’s students, like Butterfield, who designed the blade-pitching mechanics. Edds, the team’s only electrical engineer, had come to UMass to learn ocean engineering, only to be diverted into handling WF-1’s generator. <a href="https://www.linkedin.com/in/louismanfredi" target="_blank">Louis Manfredi</a>, another ocean engineering student, teamed up with master’s student <a href="https://scholarworks.umass.edu/entities/publication/0fe58480-7291-449b-ad9e-9b04625a2132" target="_blank">Jim Sexton</a> on the nacelle housing the generator and drivetrain. <a href="https://scholarworks.umass.edu/entities/publication/40f08f39-f951-46ba-9d92-89865a0fe8bb" target="_blank">Fred Antoon</a> adapted the truck axle. <a href="https://www.linkedin.com/in/brian-kuhn-18616228/" target="_blank">Brian Kuhn</a> did drawings.</p><p class="shortcode-media shortcode-media-rebelmouse-image"> <img alt="Chains and moving parts inside the rotor of a wind turbine" class="rm-shortcode" data-rm-shortcode-id="b4a8763fd385fece03dbb82995f21441" data-rm-shortcode-name="rebelmouse-image" id="ef40f" loading="lazy" src="https://spectrum.ieee.org/media-library/chains-and-moving-parts-inside-the-rotor-of-a-wind-turbine.jpg?id=66894144&width=980"/> <small class="image-media media-caption" placeholder="Add Photo Caption...">WF-1 contained a mechanism that pitched its blades to regulate torque in response to wind speed, a feature that became an industry standard.</small><small class="image-media media-photo-credit" placeholder="Add Photo Credit...">Sandy Butterfield </small></p><p>An 18-year-old freshman, <a href="https://patents.justia.com/inventor/daniel-f-handman" target="_blank">Dan Handman</a>, came aboard and soon made himself indispensable. When he approached Heronemus to introduce himself, Heronemus handed him three months’ worth of anemometer readings punched into recording paper, and told him to turn it into 15-minute averages. Figuring there had to be a more efficient method for analyzing wind speeds, Handman asked around and found a wind-averaging machine from an earlier student project. A month or so later, he’d installed it in a cabinet near Heronemus’s office and wired it to an anemometer on Orchard Hill.</p><p>Handman’s primary role on WF-1 was setting up its computerized control system, which tracked wind speed and sent commands to Butterfield’s pitch mechanism. The controls also tracked the generator’s speed and adjusted the current to its rotor windings, in accordance with calculations by Edds. Tweaking the current ensured that power demand from the electric heaters installed in the home below didn’t stop the rotor in weak winds.</p><p class="shortcode-media shortcode-media-rebelmouse-image"> <img alt="A man in a harness standing at the top of a wind turbine on a single pole, high in the air" class="rm-shortcode" data-rm-shortcode-id="ba216463bf2eea813371abf85a3350bc" data-rm-shortcode-name="rebelmouse-image" id="a4a0a" loading="lazy" src="https://spectrum.ieee.org/media-library/a-man-in-a-harness-standing-at-the-top-of-a-wind-turbine-on-a-single-pole-high-in-the-air.jpg?id=66894172&width=980"/> <small class="image-media media-caption" placeholder="Add Photo Caption...">Sandy Butterfield, part of the 1970s “UMass Mafia” team that built WF-1, became a wind-power entrepreneur and a top engineer at the National Renewable Energy Laboratory in Golden, Colo. </small><small class="image-media media-photo-credit" placeholder="Add Photo Credit...">Sandy Butterfield </small></p><p>The finished WF-1 really cranked up the heat, some of which was stored by heating water in tanks in the modular house’s basement, to be circulated through baseboards in windless periods. It turned out WF-1 was unusually efficient at capturing wind energy because its rotor could change speed with the wind, keeping the blades close to an aerodynamic optimum.</p><p>This varying rotor speed meant that the frequency of the electric power WF-1 produced also varied. Turbines linked to power lines must strive for the opposite—a steady output that synchronizes with the grid’s frequency—primarily 50 or 60 hertz. But it suited the home’s low-tech heating scheme just fine. (Electronic converters let today’s turbines have it all by ingesting a variable wave and outputting a new wave that’s synced to the grid.)</p><h2>The Great California Wind Rush</h2><p>In 1977, with WF-1’s success in hand, Heronemus projected that 3 million homes like the one on Orchard Hill could soon slash U.S. heating oil demand by 90 million barrels a year. That never happened, but an industry was born, starting with a Burlington, Mass. startup called US Windpower—the first “credible” U.S. turbine manufacturer, according to Thresher, who is now an emeritus researcher at the National Laboratory of the Rockies.</p><p class="shortcode-media shortcode-media-rebelmouse-image"> <img alt="Five wind turbines mounted on freestanding poles on farmland" class="rm-shortcode" data-rm-shortcode-id="9f626997386d9dfcafbcb2d7ade6875d" data-rm-shortcode-name="rebelmouse-image" id="06407" loading="lazy" src="https://spectrum.ieee.org/media-library/five-wind-turbines-mounted-on-freestanding-poles-on-farmland.jpg?id=66894183&width=980"/> <small class="image-media media-caption" placeholder="Add Photo Caption...">Belgian-made WindMaster turbines erected at Altamont Pass signaled the coming of the California wind rush. UMass team member Woody Stoddard conducted engineering analyses of many early designs deployed there.</small><small class="image-media media-photo-credit" placeholder="Add Photo Credit...">Bettman/Getty Images </small></p><p>Boston-area entrepreneurs Russell Wolfe and Stanley Charren launched US Windpower with Stoddard and Van Dusen after visiting Heronemus in 1974 and liking what they heard. They adapted WF-1’s design to make it suitable for grid-connected operation, building and breaking prototypes before erecting the world’s first grid-connected wind farm in 1980—<a href="https://granitegeek.concordmonitor.com/2017/11/29/nations-first-real-wind-farm-new-hampshire/" target="_blank">20 turbines on a mountain in New Hampshire</a>. California’s water authority placed an order for 100 MW of wind power, and in 1981 US Windpower began <a href="https://www.nytimes.com/1983/02/14/us/private-investors-selling-wind-power-to-utilities.html" target="_blank">installing hundreds of turbines in Altamont Pass</a>, east of San Francisco.</p><p>As more firms jumped to California, drawn by state government incentives, WF-1’s creators and the next cohort of UMass grads assumed important roles in the nascent market. Seven joined Energy Sciences, a startup cofounded by Butterfield. More joined U.S. Windpower. Stoddard left that company to start a consulting firm and ended up advising some of Denmark’s modern wind pioneers, which rapidly expanded thanks to the California market. Those early Danish firms made relatively simple, sturdy machines that subsequently scaled up and dominated globally for several decades — until China embraced wind power.</p><p>The California wind power boom peaked in 1986, after which energy prices collapsed and incentives faded. Most manufacturers were bankrupted by equipment failures and financial challenges, making the 1990s a tough time for wind power’s pioneers. Many UMass wind engineers, like Butterfield, joined Thresher’s operation at NREL, culling everything they could from the California experience.</p><h3></h3><br/><p>“An entire generation of U.S. wind engineers got their graduate training, at least in part, using the Wind Furnace.”<strong>—Harold Wallace</strong></p><p><span>There, Heronemus’s protégés became known as the “UMass Mafia.” Thresher says it attests to the crew’s impact: “There were others. But that UMass Mafia were really leaders in the field. I think that’s the heritage we got from Bill Heronemus. Those people were so impactful and the education they got [with Heronemus] was the key.” What Heronemus began at the university became the </span><a href="https://www.umass.edu/windenergy/home/index.html" target="_blank">UMass Wind Energy Center</a><span>, which has awarded over 300 graduate degrees.</span></p><p>WF-1 now rests in the <a href="https://americanhistory.si.edu/collections/object/nmah_1389175" target="_blank">Smithsonian Institution’s collections</a> in Washington, D.C. It earned its place there, as Smithsonian’s only modern wind turbine, because it represents wind energy’s revival, according to <a href="https://profiles.si.edu/display/nwallaceh1102006" target="_blank">Harold Wallace</a>, Smithsonian’s curator for electricity collections. “An entire generation of U.S. wind engineers got their graduate training, at least in part, using the Wind Furnace,” he says.</p><p>Heronemus didn’t get to witness the production of the massive offshore machines that he foresaw. He lost his long fight with cancer in November 2002, at the age of 82, even as former students and family members were racing to patent his multirotor and floating turbine designs.</p><p>Had he lived longer, the Captain would almost certainly have railed against current U.S. energy policy. The U.S. government has never backed wind power as generously as he’d hoped. Wind supplied 10 percent of U.S. generation last year—that’s half the share in Europe—with offshore turbines providing only a tiny sliver. Federal support for wind power has been in a stop-go cycle since Ronald Reagan’s administration, and it’s hit a low again under President Donald Trump, who has vowed to stop wind power cold. As <a href="https://www.usatoday.com/story/news/nation/2026/01/09/trump-assails-windmills-and-wind-energy-as-junk-theyre-losers/88108694007/" target="_blank">Trump boasted to oil executives</a> in January: “We have not approved one windmill since I’ve been in office, and we’re going to keep it that way.”</p><p>Under Trump, stop-work orders have disrupted offshore projects from Massachusetts to Virginia, contributing to a nearly <a href="https://www.bostonglobe.com/2026/01/28/business/ge-vernova-offshore-wind-losses/" target="_blank">$600 million loss in 2025 for GE Vernova’s wind business</a>. GE Vernova is the only major wind turbine manufacturer remaining in the United States, and it too can be <a href="https://patents.google.com/patent/US5083039A/en" target="_blank">traced back to Heronemus via a US Windpower patent</a>.</p><p>In stark contrast, European and Asian countries have been going big on offshore wind and are now developing floating wind farms to push into deeper waters. China might be the one to finally conjure up Heronemus’s favored wind design: floating platforms bearing massive multirotor machines. In 2024, Zhongshan-based turbine maker <a href="https://en.myse.com.cn/" target="_blank">Ming Yang Smart Energy Group</a> deployed a two-rotor offshore prototype. The company says <a href="https://www.rechargenews.com/technology/mingyang-building-50mw-offshore-wind-turbine/2-1-1888862" target="_blank">its next iteration will generate a whopping 50 MW</a>—a twin-headed beast that would be the world’s most powerful wind machine.</p><p>That will be a bittersweet moment for the U.S. wind industry and Captain William Heronemus’s UMass Mafia, for whom such massive machines are a dream come true. Joanne Carroll, a retired member of the UMass Mafia, says she remembers the very moment, her freshman year, when Heronemus’s dream became hers. While he was lecturing in Introduction to Engineering about the hidden costs of coal-fired power, Heronemus walked to the window and said: “‘But out there there’s wind, and you can harvest that energy,’” Carroll recalled. “And I remember thinking: That’s what I want to do with my life.” <span class="ieee-end-mark"></span></p><p><em>The author would like to give special thanks to UMass professor emeritus James Manwell for his assistance with this story. </em></p> Reference: https://ift.tt/N78Kc02

Friday, June 12, 2026

PeopleSoft 0-day affecting hundreds of organizations steals gigabytes of data


<p>One of the world’s most active ransomware groups exploited a critical vulnerability in Oracle’s PeopleSoft software suite and used it to target about 100 customers and extort at least one of them to pay up in exchange for not leaking stolen data, researchers said.</p> <p>The group, tracked as ShinyHunters, had been exploiting the PeopleSoft vulnerability for more than two weeks before Oracle <a href="https://blogs.oracle.com/security/security-alert-cve-2026-35273-released">flagged</a> it. CVE-2026-35273, as the vulnerability is tracked, carries a severity rating of 9.8 out of 10, making the former zero-day one of the year’s most critical vulnerabilities to be exploited.</p> <p>Google’s Mandiant security team <a href="https://cloud.google.com/blog/topics/threat-intelligence/shinyhunters-targets-education-sector-oracle-exploit">said</a> it’s an SSRF (server-side request forgery), a vulnerability that allows attackers to send requests from a susceptible server to systems used by the targeted organization. Oracle said the SSRF is remotely exploitable, and the company has issued a stopgap mitigation but has yet to fully patch the flaw. Google has confirmed that victims are receiving extortion demands.</p><p><a href="https://arstechnica.com/security/2026/06/peoplesoft-0-day-affecting-hundreds-of-organizations-steals-gigabytes-of-data/">Read full article</a></p> <p><a href="https://arstechnica.com/security/2026/06/peoplesoft-0-day-affecting-hundreds-of-organizations-steals-gigabytes-of-data/#comments">Comments</a></p> Reference : https://ift.tt/kfA6LI2

Award-Winning Researcher Trains Robots to Make Educated Guesses


<img src="https://spectrum.ieee.org/media-library/a-young-asian-professor-monitors-her-student-as-they-control-a-robotic-gripper.jpg?id=66879067&width=1245&height=700&coordinates=0%2C469%2C0%2C469"/><br/><br/><p><a href="https://yenlingkuo.com" rel="noopener noreferrer" target="_blank">Yen-Ling Kuo</a> always wanted to understand how things worked. When she was growing up in Taiwan, reading the story of <a href="https://ethw.org/Michael_Faraday" rel="noopener noreferrer" target="_blank">Michael Faraday</a> in elementary school piqued her curiosity about the natural world. During that time, she was introduced to <a href="https://en.wikipedia.org/wiki/Logo_(programming_language)" rel="noopener noreferrer" target="_blank">Logo</a>, a computer program with a turtle cursor to help children learn basic coding through hands-on experimentation.</p><p>It was Kuo’s introduction to programming logic.</p><h3>Yen-Ling Kuo</h3><br/><p><strong>Employer</strong></p><p>University of Virginia in Charlottesville</p><p><strong>Title</strong></p><p>Assistant professor of computer science </p><p><strong>Member grade</strong></p><p>Member</p><p><strong>Alma maters</strong></p><p>National Taiwan University; MIT</p><p>In high school she learned the capacity computers held. She could write programs that completed tasks independently, she realized.</p><p>“Once I discovered how powerful computers could be,” she says, “I knew I wanted to focus on using them to solve real-world problems.”</p><p>Kuo, an IEEE member, never lost her interest in the “how” behind processes and tools. Her curiosity, combined with a stint working at a Silicon Valley company, led her to focus on innovations that live at the intersection of cognitive and computer sciences. </p><p>Kuo, now an <a href="https://engineering.virginia.edu/faculty/yen-ling-kuo" rel="noopener noreferrer" target="_blank">assistant professor</a> of computer science at the <a href="https://www.virginia.edu/" rel="noopener noreferrer" target="_blank">University of Virginia</a> in Charlottesville, last year received the <a href="https://www.ieee-ras.org" rel="noopener noreferrer" target="_blank">IEEE Robotics and Automation Society</a>’s inaugural <a href="https://engineering.virginia.edu/news-events/news/more-honors-computer-scientist-wins-2025-wira-early-career-contribution-award" rel="noopener noreferrer" target="_blank">Outstanding Women in Robotics and Automation Early Career Contribution Award</a>. The award is part of the <a href="https://www.ieee-ras.org/wira-paper-awards-icra25/" rel="noopener noreferrer" target="_blank">IEEE-RAS Women in Engineering’s Outstanding Women in Robotics and Automation (WiRA) Paper Awards</a>, which promote excellence and recognize the impact that female researchers have on robotics and automation fields at different stages in their academic careers.</p><p>Kuo’s winning paper, “<a href="https://diffdagger.github.io/" rel="noopener noreferrer" target="_blank">Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulation</a>,” demonstrates a novel method to help robots better identify and estimate uncertainty when faced with scenarios on which they’ve not been trained. The method reduces the amount of human supervision, improves a robot’s rate of successful task completion, and opens up a path to introduce more complex models with bigger data demands into interactive robot learning.</p><p>She says her research will help people working in the robotics and automation fields more efficiently collect the data needed for effective model training.</p><h2>Silicon Valley’s impact</h2><p>Kuo earned bachelor’s and master’s degrees in computer science at the <a href="https://www.ntu.edu.tw/english/" rel="noopener noreferrer" target="_blank">National Taiwan University</a>, in Taipei, in 2009 and 2012. As she was nearing completion of her master’s degree, she did what many computer science graduates do: She pursued a summer internship at a tech company.</p><p>She spent the summer of 2011 at Google’s campus in Kirkland, Wash., working on the company’s <a href="https://adwords.googleblog.com/2011/05/comparison-ads-now-part-of-new-google.html" rel="noopener noreferrer" target="_blank">comparison ads project</a>.</p><p>When her internship ended, she joined the <a href="https://www.media.mit.edu" rel="noopener noreferrer" target="_blank">MIT Media Lab</a> as a visiting student, working on the <a href="https://en.wikipedia.org/wiki/Open_Mind_Common_Sense" rel="noopener noreferrer" target="_blank">Open Mind Common Sense project</a> with <a href="https://web.media.mit.edu/~lieber/" rel="noopener noreferrer" target="_blank">Henry Lieberman</a>.</p><p>As she was considering pursuing a Ph.D., a call from Google changed her plans. The company offered her a full-time role as a software engineer.</p><p>“I viewed the job offer as a positive development,” she says. “I believe it can never hurt your future research career to get some real-world experience under your belt.”</p><p>She was hired in 2012 and helped build techniques that incorporate computer vision and natural language processing to improve the customer shopping search experience. She led the company’s <a href="https://techcrunch.com/2016/09/06/google-is-launching-shop-the-look-to-let-you-search-and-shop-by-outfit/" rel="noopener noreferrer" target="_blank">Shop the Look initiative</a>, a predecessor to Google’s current <a href="https://blog.google/products-and-platforms/products/shopping/google-shopping-ai-mode-virtual-try-on-update/" rel="noopener noreferrer" target="_blank">AI-powered shopping experience</a>. The project connected social media content with search results, something the company had struggled to do in the past.</p><p>Kuo and her team were tasked with building a connection between the natural language people use to describe an item and an image that matches the searcher’s intent. It was at a time when the <a href="https://spectrum.ieee.org/tag/neural-network" target="_self">neural network</a>—using deep learning models to power Google products—was gaining momentum at the company. Integrating neural network tools into her work was a requirement—which raised questions for Kuo.</p><p>“I was applying the neural network tools,” she says. “But I didn’t have 100 percent certainty about how they actually worked.”</p><p>She considered how she could become more knowledgeable about deep learning models. It was a full-circle moment. She decided that after nearly four years at Google, it was time to earn a Ph.D. in computer science. She returned to MIT in 2016.</p><h2>The question that changed everything</h2><p><a href="https://people.csail.mit.edu/boris/boris.html" rel="noopener noreferrer" target="_blank">Boris Katz</a>, one of Kuo’s Ph.D. advisors, is a principal research scientist and the head of the MIT <a href="https://www.csail.mit.edu" rel="noopener noreferrer" target="_blank">Computer Science and Artificial Intelligence Laboratory</a> (CSAIL)’s <a href="https://www.csail.mit.edu/research/infolab" rel="noopener noreferrer" target="_blank">InfoLab</a>. He also led the creation of the <a href="https://start.csail.mit.edu/index.php" rel="noopener noreferrer" target="_blank">START Natural Language System</a>, the world’s first Web-based question-answering system.</p><p>When the two met, Katz asked Kuo why she wanted to pursue a doctorate degree. She explained her interest in understanding how neural networks work and in using that knowledge to connect the physical world with human language.</p><p>He suggested she attend a <a href="https://bmm.mit.edu/" rel="noopener noreferrer" target="_blank">summer course</a> at MIT’s <a href="https://cbmm.mit.edu" rel="noopener noreferrer" target="_blank">Center for Brains, Minds, and Machines</a>, a research initiative that <a href="https://sqi.mit.edu/research/cbmm" rel="noopener noreferrer" target="_blank">ran from 2013 through 2025</a>. CBMM’s objective was to bring together computer scientists, cognitive scientists, and neuroscientists to understand how human intelligence works. The goal was to use the resulting insights to establish an engineering practice to build artificial intelligence systems.</p><p>For Kuo, it was a chance to better understand human intelligence and identify ways it could be replicated in machines.</p><p>“It was an opportunity for me to interact with other scientists and gain insight into how people learn, understand, and figure things out in the world,” she says. “I saw it as a very useful and inspiring way to incorporate those ideas into my own research work.”</p><p>During her Ph.D. studies, she was a research assistant at CSAIL. The experience helped shape her doctoral research, which focused on building AI systems that apply past learning to new situations. She developed machine learning models to support the efforts, including language understanding and social interactions.</p><p>She completed her Ph.D. in computer science in 2022 with a minor in cognitive science.</p><p>After graduation, she continued her work and collaboration at CSAIL, particularly on projects that involved the “theory of mind” concept.</p><h2>Theory of mind spurs innovation</h2><p>Theory of mind isn’t new, having originated with <a href="https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/does-the-chimpanzee-have-a-theory-of-mind/1E96B02CD9850016B7C93BC6D2FEF1D0" rel="noopener noreferrer" target="_blank">primatologists studying chimpanzees</a> in the late 1970s. The theory recognizes that others have their own thoughts, beliefs, and perspectives. It’s a skill that allows humans to infer someone’s mental state and predict their behavior without verbal communication.</p><p>“It’s like when college roommates are moving into their dorm. They may not talk too much, but they work together naturally to coordinate their activities and accomplish goals,” Kuo says. “They can infer and mentally interpret each other’s behaviors and signals to make decisions and complete tasks without words.”</p><p>She brought her theory of mind research to the University of Virginia when she joined as an assistant professor in 2023.</p><p>Kuo conducts her research in UVA Engineering’s multidisciplinary cyberphysical <a href="https://engineering.virginia.edu/labs-groups/link-lab" rel="noopener noreferrer" target="_blank">Link Lab</a>. Her broad focus is on developing computational models that help robots interpret both direct data and silent signals, from language and movements to a person’s gaze. If successful, it could give robots the same sort of physical and theory of mind reasoning capabilities that power physical and social interactions among humans.</p><p>“There are no computational frameworks yet available that will translate this kind of understanding into a robot efficiently,” she says.</p><p>She adds that the process to get there begins with improving how robots learn to perform tasks.</p><h2>The evolution of robot learning</h2><p>Historically, one way robots learned was to mimic humans. A researcher would manually guide a robot through a task, like cutting an apple, and it would repeat the movements. The robot was successful until the environment changed, such as when its hand was in a different position or the apple was at a different angle. The robot was then faced with a situation for which it hadn’t been trained. Without any data available to help it correct course, the robot would start making small errors that eventually led to a full system crash.</p><p class="shortcode-media shortcode-media-rebelmouse-image"> <img alt="Diagram of a robotic gripper delicately holding a potato chip. Labels describe how the gripper\u2019s visual perception and tactile sensing prevent the chip from breaking." class="rm-shortcode" data-rm-shortcode-id="76442a7dd57b85e82dfbaee6fcbcee1b" data-rm-shortcode-name="rebelmouse-image" id="bfe1e" loading="lazy" src="https://spectrum.ieee.org/media-library/diagram-of-a-robotic-gripper-delicately-holding-a-potato-chip-labels-describe-how-the-gripper-u2019s-visual-perception-and-tact.jpg?id=66879111&width=980"/> <small class="image-media media-caption" placeholder="Add Photo Caption...">This diagram describes how the robotic gripper’s visual perception and tactile sensing prevents a potato chip from breaking.</small><small class="image-media media-photo-credit" placeholder="Add Photo Credit..."><a href="https://force-gripper.github.io/" target="_blank">Xuhui Kang, Yen-Ling Kuo, et al.</a></small></p><p>To solve the problem, researchers developed the dataset aggregation (DAgger) method. As a robot performed a task, a researcher was on standby to provide real-time corrections during unexpected scenarios. The correction data was continuously added to the robot’s model, teaching it how to recover from mistakes.</p><p>To reduce the human monitoring effort, robot-gated DAgger was created to enable bots to query humans when the machines became uncertain.</p><p>The most popular approach to make the query decision is to train multiple models to consider when determining a course of action. If the models all agree, the robot proceeds. If they don’t agree, the robot is likely to get stuck and ask for help.</p><p>Although the multiple model approach was widely adopted, it has limitations. Practically speaking, as models become more complex, it is hard or impossible to train multiple copies. A more fundamental issue is that disagreement among models doesn’t always imply uncertainty; it could just mean there are different ways to accomplish a task.</p><h2>The Diff-DAgger solution</h2><p>That is the gap Kuo’s research team closed with the novel Diff-DAgger research. The approach builds on diffusion policy, a technique that helps robots account for different ways a task can be performed.</p><p>The new method repurposes diffusion loss, the signal a robot uses to improve its model during training, as a real-time confidence check. During task execution, the robot computes the signal and compares it against values from its training data using a statistical test. The signal spikes when the robot faces an unfamiliar situation and is uncertain how to proceed. The signal stays silent when the robot’s current action is close to what it learned before.</p><p>The spike represents the robot’s ability to self-diagnose and predict an imminent failure. Human intervention is triggered only when the signal spikes. No spike means the robot can be left to complete its decision-making process on its own.</p><p>Kuo’s team achieved <a href="https://diffdagger.github.io" target="_blank">significant results</a>: Failure prediction rates were improved by 39 percent. Task completion rates were increased by 20 percent, and tasks were completed nearly eight times faster.</p><p>Her research at UVA gained attention from the <a href="https://www.nsf.gov" rel="noopener noreferrer" target="_blank">National Science Foundation</a>, which honored her last year with a <a href="https://www.nsf.gov/funding/opportunities/career-faculty-early-career-development-program" rel="noopener noreferrer" target="_blank">Career Award</a>, the foundation’s flagship grant for early-career researchers. The five-year US $665,000 grant supports her research that builds computational models for human-robot interactions through theory of mind reasoning.</p><p>She also received the Toyota Research Institute’s <a href="https://engineering.virginia.edu/news-events/news/uva-and-toyota-research-institute-aim-give-your-car-power-reason" rel="noopener noreferrer" target="_blank">Young Faculty Researcher Award</a> to teach cars to reason about interactions on the road and with the driver.</p><p>As service robots and self-driving vehicles become more available, such works are likely to make interactions between humans and robots more intuitive and useful.</p><p>Kuo ultimately wants to build more robust robots that are able to integrate into a social space with humans by engaging with us through grounded interactions, she says.</p><h2>The impact of IEEE</h2><p>Like many IEEE members, Kuo was introduced to the organization as a student. In 2018 she submitted her first paper, “<a href="https://arxiv.org/abs/1810.00804" rel="noopener noreferrer" target="_blank">Deep Sequential Models for Sampling-Based Planning</a>,” to the <a href="https://www.ieee-ras.org/conferences-workshops/financially-co-sponsored/iros/" rel="noopener noreferrer" target="_blank">IEEE/Robotics Society of Japan International Conference on Intelligent Robots and Systems</a> while pursuing her Ph.D. at MIT. Her IEEE involvement grew alongside her professional career.</p><p>“It was a natural segue to transition from student to a full IEEE member,” she says. Today she is an active volunteer with the IEEE Robotics and Automation Society, a reviewer for submitted papers, and a presenter and panelist at conferences.</p><p>She says one of the best parts of attending conferences is having the opportunity to engage with students. She also enjoys participating as a panelist at luncheons, she says, because it gives her one-on-one time with student attendees. She can share her knowledge and offer insights as they prepare to embark on their career.</p><p>Her goal in the coming years, she says, is to broaden her involvement with IEEE initiatives and branch out to other technical committees. Sharing knowledge and learning from others is essential to anyone’s <a data-linked-post="2670807151" href="https://spectrum.ieee.org/influence-your-career" target="_blank">career growth</a>, she says, and “IEEE offers a great opportunity for both.”</p> Reference: https://ift.tt/tZ2SRX5

Thursday, June 11, 2026

Defining Autonomy for Wellness Robots in Senior Care


<img src="https://spectrum.ieee.org/media-library/dreamface-technologies-llc-logo-with-abstract-silver-face-and-circles-on-teal-background.png?id=66892687&width=980"/><br/><br/><p>An examination of how socially assistive wellness robots could support the seven dimensions of senior wellness, and how a framework can measure their autonomy.</p><p>What Attendees will Learn</p><ol><li><span>Why the senior care crisis exceeds incremental automation. Demographic pressure, workforce shortages, and a daily wellness-programming gap all strain traditional care models.</span></li><li><span>What defines a wellness robot as a category. The seven ICAA wellness dimensions and eight properties separate these robots from companion and medical devices.</span></li><li><span>How autonomy can be measured with CRAS. This six-level scale, modeled on the SAEJ3016 driving standard, evaluates four care dimensions.</span></li><li><span>What maps the road to full autonomy. The paper examines technical capabilities, clinical evidence, and a three-phase roadmap toward the early 2030s.</span></li></ol><div><span><a href="https://content.knowledgehub.wiley.com/wellness-robots-and-the-path-to-full-autonomy-a-new-paradigm-in-ai-powered-senior-care/" target="_blank">Download this free whitepaper now!</a></span></div> Reference: https://ift.tt/Lm5B7Rl

Critical Copilot vulnerability allowed hackers to seal 2FA code from users

<p>Last Tuesday, Microsoft patched a vulnerability it rated as max critical in its M365 Copilot AI platfo...