Monday, May 4, 2026

IEEE Smart Village Is Helping to Electrify Rural Cameroon


<img src="https://spectrum.ieee.org/media-library/men-in-hard-hats-posing-together-at-a-miniature-solar-farm-amongst-a-dense-jungle-environment.jpg?id=66678170&width=980"/><br/><br/><p>More than 30 years ago, in the mountain village of Mbem in northwest Cameroon, the moon and stars in the night sky were the only light young <a href="https://cm.linkedin.com/in/jude-numfor-694445a3" rel="noopener noreferrer" target="_blank">Jude Numfor</a> knew after the sunset. Electricity had not yet reached his rural community.</p><p>“There was one person in the village with a petrol generator and a small television,” Numfor says. “When he turned it on, all the children would run to his house and peep through the window.”</p><p>That memory became the spark for Numfor’s mission: to bring electricity to rural communities like his hometown. To accomplish his goal, in 2006 he cofounded Wireless Light and Power, since renamed <a href="https://www.rei-cameroon.com/" rel="noopener noreferrer" target="_blank">Renewable Energy Innovators Cameroon</a>, and he serves as its CEO.</p><p>REI Cameroon designs, installs, and maintains solar minigrids for rural electrification. The minigrids use photovoltaic technology and battery-energy storage systems to generate electricity at 50 hertz. The electricity is distributed through smart meters.</p><p>In 2017 the company received a grant from <a href="https://smartvillage.ieee.org/" rel="noopener noreferrer" target="_blank">IEEE Smart Village</a> to fund the expansion of REI’s minigrid operations and refine its business model. Smart Village supports <a href="https://spectrum.ieee.org/restoring-electricity-to-nepali-school" target="_self">projects</a> and organizations bringing electricity and educational and employment opportunities to remote communities worldwide. The program is supported by <a href="https://www.ieee.org/communities-connection/societies-councils-and-communities/societies" rel="noopener noreferrer" target="_blank">IEEE societies</a> and donations to the <a href="https://www.ieeefoundation.org/" rel="noopener noreferrer" target="_blank">IEEE Foundation</a>.</p><p>The partnership has led to a collaboration developing open source metering, a free, community-driven way of tracking energy usage. Unlike proprietary utility meters, the system allows users, researchers, and utilities to view, customize, and verify how data is collected, ensuring transparency in billing, consumption tracking, and grid management.</p><p>Smart Village’s support has been pivotal, Numfor says: “It’s not just about money. We share ideas, we get advice, and we have made friends. Entrepreneurship is lonely, but with the [Smart Village] community, it is different.”</p><h2>From teenage tinkerer to entrepreneur</h2><p>Numfor’s first experience of life with electricity was in 2001, after moving in with a missionary family in the small village of Allat. They used solar panels to power their whole home—an unimaginable luxury in Mbem. “I could watch TV, eat ice cream, and turn on lights,” he says. “It made me wish my brothers in Mbem had the same opportunity.”</p><p>Numfor’s curiosity about electricity was ignited when a motion-sensor solar light in the family’s home stopped working. He tinkered with the device to find out why. “My missionary family told me to play with it like a toy,” he says, laughingly. “I replaced the dead battery with a motorcycle battery and was able to bring the power back for the night.”</p><p class="shortcode-media shortcode-media-rebelmouse-image"> <img alt="Three men holding baton-shaped electric lights." class="rm-shortcode" data-rm-shortcode-id="ce331a89ef2efac03799301898934abe" data-rm-shortcode-name="rebelmouse-image" id="49913" loading="lazy" src="https://spectrum.ieee.org/media-library/three-men-holding-baton-shaped-electric-lights.jpg?id=66678173&width=980"/><small class="image-media media-caption" placeholder="Add Photo Caption...">Jude Numfor [right] testing a rechargeable solar lantern, which aimed to replace hazardous kerosene lamps—known locally as “bush lamps.”</small><small class="image-media media-photo-credit" placeholder="Add Photo Credit...">REI Cameroon</small></p><p>His missionary parents encouraged Numfor to study technology and engineering on his own, as none of the country’s universities offered solar energy educational programs at the time. They built him a library and stocked it with books on engineering, management, and entrepreneurship.</p><p>In 2006, armed with his new knowledge, Numfor launched Wireless Light and Power with a friend, Ludwig Teichgraber. The nonprofit aimed to replace hazardous kerosene lamps—known locally as “bush lamps”—with rechargeable solar lanterns.</p><p>These solar lanterns—called “light packs”—were built locally by Numfor and a team of 11 young Cameroonians using PVC pipes, nickel-metal hydride batteries, and LED bulbs. Families rented the lamps for a small fee, swapping discharged lamps for fully charged ones at solar-powered charging kiosks when they ran out of power. The kiosks then recharged the depleted lamps, making them available for the next swap. “The solar lantern was safer and cleaner, plus it gave children a chance to read at night,” Numfor explains. “People loved them.”</p><p>Between 2006 and 2010, his team replicated the model across several villages. But when the global financial crisis hit in 2008, donor support dwindled, forcing the organization to evolve. “We pivoted from being an NGO to a commercial venture,” he says. “That’s how REI was born.”</p><h2>Building solar minigrids to serve community needs</h2><p>The new company’s goal was to move away from the lanterns and toward full electrification of communities. Villagers’ aspirations changed, Numfor says, as they now wanted to power their TVs, music systems, and mobile phones. In response, in 2010, REI developed one of the first solar minigrids in West Africa. Using locally procured components, the prototype supplied steady power to six households. The minigrid system used 12 123-watt solar photovoltaic panels manufactured by <a href="https://global.sharp/solar/" target="_blank">Sharp</a>, 16 12-volt 100 ampere-hour automatic gain control lead acid batteries, and a <a href="https://xantrex.com/" target="_blank">Xantrex</a> charge controller and inverter. Locally sourced wooden light poles were erected to distribute electricity throughout the village. REI charged each household a fee for the electricity.</p><p>“It was a product-market-fit moment,” Numfor says. “People immediately asked, ‘When can we get this, too?’” The word-of-mouth, grassroots growth caught the attention of global partners. Numfor connected with Smart Village and in 2017, REI Cameroon received its first seed grant from the program.</p><p>With that funding, Numfor was able to grow organically and attract additional grants, including one from the <a href="https://www.ustda.gov/" rel="noopener noreferrer" target="_blank">U.S. Trade Development Agency</a> (USTDA), in partnership with the <a href="https://www.energy.gov/" rel="noopener noreferrer" target="_blank">U.S. Department of Energy</a>’s <a href="https://www.energy.gov/ea/national-renewable-energy-laboratory" rel="noopener noreferrer" target="_blank">National Renewable Energy Laboratory</a>. REI has since expanded to six villages, providing power to more than 1,000 households and businesses. With a dedicated team of 16 people, the company operates in multiple regions of the country, each with unique terrain, languages, and cultural dynamics.</p><p>“It wasn’t easy,” he acknowledges. “I’m not an academic person—I had to learn everything by doing. [Smart Village] helped me structure the project and grow as an entrepreneur.”</p><p>Today, Numfor pays it forward by sharing his Smart Village experience and mentoring new entrepreneurs.</p><h2>Launching a coalition for smart metering</h2><p>Minigrids can’t operate efficiently without clarifying operating rules to ensure quality service requirements and consumer protection, while also enabling reliable and effective monitoring of the system, Numfor says. “We need to know how power is being used, detect problems early, and manage the minigrid from a distance,” he explains.</p><p>Existing commercial smart-meter providers offer limited and proprietary solutions. One major provider left the market, making their technology infrastructure obsolete. “It’s risky for an entire sector to depend on a few companies for such a critical technology,” Numfor says.</p><p>In 2025, with the help of the Smart Village technical community, Numfor convened a consortium of open-source power advocates, including the <a href="https://www.africamda.org/" rel="noopener noreferrer" target="_blank">Africa Mini-Grid Developers Association</a>, <a href="https://enaccess.org/" rel="noopener noreferrer" target="_blank">EnAccess</a>, <a href="https://www.eiot.energy/" rel="noopener noreferrer" target="_blank">Energy IOT</a>, and <a href="https://www.newenergysolutionslab.com/about" rel="noopener noreferrer" target="_blank">NESL</a>. The goal was to develop an open smart metering system that is accessible, transparent, and sustainable for all energy providers.</p><p>“These organizations are collaborating as Open Advanced Metering Infrastructure [OpenAMI], which is about giving control back to the people who deliver the energy,” he says.</p><h2>Scaling for impact</h2><p>Numfor’s passion has grown from bringing light to local rural communities to bringing light to his entire country. Just 54 percent of Cameroon’s citizens have access to electricity, according to the <a href="https://www.iea.org/countries/cameroon" rel="noopener noreferrer" target="_blank">International Energy Agency</a>. For Numfor, the challenge is not just technological—it’s social and economic as well. “Electricity is the most important enabler of education and economic growth today,” he says. “When you have power, you unlock everything else.”</p><p class="pull-quote">“Electricity changed my life. Now I want to make sure every child can grow up with that same light.” <strong>—Jude Numfor</strong></p><p>Across the villages where REI has installed sustainable electricity solutions, small businesses are flourishing. Barbershops hum with community chatter, food vendors can preserve perishables, and entrepreneurs run companies such as phone-charging stations and small mills. “Some villages even have laundromats now,” Numfor says proudly. “Electricity creates jobs and changes mindsets.”</p><p>Still, it has been a bumpy journey. It wasn’t until 2025 that REI obtained its official authorization (license) from Cameroon’s government to produce and distribute electricity in off-grid areas using solar minigrids. This was a major milestone because REI is one of the first private enterprises in the country to receive such authorization. “We were stuck between pilot projects and growth,” he explains. “Our projects were successful, and there was community demand for more, but to grow, we needed investors who require legal guarantees before committing funds. Now we can scale up and attract investors.”</p><p>REI plans to expand its reach dramatically, beginning with 134 new villages identified through a <a href="https://www.ustda.gov/ustda-supports-clean-energy-access-in-cameroon/" target="_blank">feasibility study</a> supported by the USTDA. Their long-term goal is to electrify 760 villages across Cameroon by 2031.</p><p>While authorization opens doors, financing remains one of REI’s biggest challenges. “The minigrid space doesn’t attract venture capitalists easily,” Numfor notes. “Our return on investment is under 15 percent, so it’s not a typical tech startup model. The real return here is the impact” on the community.</p><p>He hopes to attract investors who understand that access to electricity drives education, health care, and entrepreneurship. “There are people out there who want to make meaningful change,” he says. “We just need to connect with them. When you electrify a village, you never know who the next innovator will be. Maybe it’s another kid like me, looking through a window, dreaming.”</p><p>Finding skilled staff is another challenge, Numfor says. To address this, REI developed an intensive recruitment and training process. “It used to take years to find the right people,” he says. “Now, we can identify who fits our company culture within six months.” Numfor’s wife, Angela Taliklong, who joined the venture in 2010, now oversees administration and human resources.</p><h2>A brighter Cameroon and beyond</h2><p>Numfor offers simple words of advice to other impact-driven entrepreneurs: Keep moving.</p><p>“One of my mistakes early on was trying to be perfect,” he says. “I was spending time improving prototypes instead of increasing the number of our project installations and scaling how many communities we could electrify. You must keep momentum. Don’t wait until everything is perfect before you move forward.”</p><p>That mindset, rooted in resilience and experimentation, has defined his journey. <a href="https://smartvillage.ieee.org/our-organization-leadership/" rel="noopener noreferrer" target="_blank">Rajan Kapur</a>, president of Smart Village, says Numfor is a “shining example” of the program’s vision: “scalable and enduring impact through local entrepreneurs, local procurement, and community engagement based on the use of IEEE technology in underserved communities.”</p><p>With the ongoing <a data-linked-post="2658989763" href="https://spectrum.ieee.org/powering-africa-it-takes-a-smart-village" target="_blank">Smart Village</a> partnership, Numfor is determined to bring light and opportunity to every corner of Cameroon, and beyond. He already has launched REI Nigeria.</p><p>“Electricity changed my life,” he says. “Now I want to make sure every child can grow up with that same light.”</p> Reference: https://ift.tt/QiwntZ9

GameStop offers $56 billion for eBay, struggles to explain how it'll pay for it


<p>GameStop yesterday made an unsolicited offer to buy eBay for $55.5 billion. GameStop claims that eBay has underperformed and spends too much on sales and marketing and argues that it would become a stronger company if it cuts costs and is combined with GameStop's physical retail locations.</p> <p>"GameStop’s ~1,600 US locations give eBay a national network for authentication, intake, fulfillment, and live commerce," GameStop Chairman and CEO Ryan Cohen wrote in a <a href="https://s205.q4cdn.com/272884106/files/doc_downloads/2026/05/Offer-Letter.pdf">letter</a> to eBay Chairman Paul Pressler.</p> <p>eBay's market capitalization is over four times larger than GameStop's. GameStop faces skepticism about the viability of its offer but says it will obtain debt financing and pay with a mix of cash and stock.</p><p><a href="https://arstechnica.com/tech-policy/2026/05/gamestop-offers-56-billion-for-ebay-struggles-to-explain-how-itll-pay-for-it/">Read full article</a></p> <p><a href="https://arstechnica.com/tech-policy/2026/05/gamestop-offers-56-billion-for-ebay-struggles-to-explain-how-itll-pay-for-it/#comments">Comments</a></p> Reference : https://ift.tt/EZCaSfr

Friday, May 1, 2026

Ubuntu infrastructure has been down for more than a day


<p>Servers operated by Ubuntu and its parent company Canonical were knocked offline on Thursday morning and have remained down ever since, a situation that’s preventing the OS provider from communicating normally following the <a href="https://arstechnica.com/security/2026/04/as-the-most-severe-linux-threat-in-years-surfaces-the-world-scrambles/">botched disclosure</a> of a major vulnerability.</p> <p>Attempts to connect to most Ubuntu and Canonical webpages and download OS updates from Ubuntu servers have consistently failed over the past 24 hours. Updates from mirror sites, however, have continued to work normally. A Canonical <a href="https://status.canonical.com">status page</a> said: “Canonical’s web infrastructure is under a sustained, cross-border attack and we are working to address it.” Other than that, Ubuntu and Canonical officials have maintained radio silence since the outage began.</p> <h2>A decades-long scourge</h2> <p>A group sympathetic to the Iranian government has taken credit for the outage. According to posts on Telegram and other social media, the group is responsible for a <a href="https://en.wikipedia.org/wiki/Denial-of-service_attack">DDoS attack</a> using Beam, an operation that claims to test the ability of servers to operate under heavy loads but, like other “stressors,” are in fact fronts for services miscreants pay for to take down third-party sites. In recent days, the same pro-Iran group has taken credit for DDoSes on eBay.</p><p><a href="https://arstechnica.com/security/2026/05/ubuntu-infrastructure-has-been-down-for-more-than-a-day/">Read full article</a></p> <p><a href="https://arstechnica.com/security/2026/05/ubuntu-infrastructure-has-been-down-for-more-than-a-day/#comments">Comments</a></p> Reference : https://ift.tt/z1vkZes

Thursday, April 30, 2026

The most severe Linux threat to surface in years catches the world flat-footed


Publicly released exploit code for an effectively unpatched vulnerability that gives root access to virtually all releases of Linux is setting off alarm bells as defenders scramble to ward off severe compromises inside data centers and on personal devices.

The vulnerability and exploit code that exploits it were released Wednesday evening by researchers from security firm Theori, five weeks after privately disclosing it to the Linux kernel security team. The team patched the vulnerability in versions 7.0, 6.19.12, 6.18.12, 6.12.85, 6.6.137, 6.1.170, 5.15.204, and 5.10.254) but few of the Linux distributions had incorporated those fixes at the time the exploit was released.

A single script hacks all distros

The critical flaw, tracked as CVE-2026-31431 and the name CopyFail, is a local privilege escalation, a vulnerability class that allows unprivileged users to elevate themselves to administrators. CopyFail is particularly severe because it can be exploited with a single piece of exploit code—released in Wednesday’s disclosure—that works across all vulnerable distributions with no modification. With that, an attacker can, among other things, hack multi-tenant systems, break out of containers based on Kubernetes or other frameworks, and create malicious pull requests that pipe the exploit code through CI/CD work flows.

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DAIMON Robotics Wants to Give Robot Hands a Sense of Touch




This article is brought to you by DAIMON Robotics.

This April, Hong Kong-based DAIMON Robotics has released Daimon-Infinity, which it describes as the largest omni-modal robotic dataset for physical AI, featuring high resolution tactile sensing and spanning a wide range of tasks from folding laundry at home to manufacturing on factory assembly lines. The project is supported by collaborative efforts of partners across China and the globe, including Google DeepMind, Northwestern University, and the National University of Singapore.

The move signals a key strategic initiative for DAIMON, a two-and-a-half-year-old company known for its advanced tactile sensor hardware, most notably a monochromatic, vision-based tactile sensor that packs over 110,000 effective sensing units into a fingertip-sized module. Drawing on its high-resolution tactile sensing technology and a distributed out-of-lab collection network capable of generating millions of hours of data annually, DAIMON is building large-scale robot manipulation datasets that include vast amounts of tactile sensing data. To accelerate the real-world deployment of embodied AI, the company has also open-sourced 10,000 hours of its data.

Person in navy suit and blue striped tie against a blue studio backdrop Prof. Michael Yu Wang, co-founder and chief scientist at DAIMON Robotics, has pioneered Vision-Tactile-Language-Action (VTLA) architecture, elevating the tactile to a modality on par with vision.DAIMON Robotics

Behind the strategy is Prof. Michael Yu Wang, DAIMON’s co-founder and chief scientist. Prof. Wang earned his PhD at Carnegie Mellon — studying manipulation under Matt Mason — and went on to found the Robotics Institute at the Hong Kong University of Science and Technology. An IEEE Fellow and former Editor-in-Chief of IEEE Transactions on Automation Science and Engineering, he has spent roughly four decades in the field. His objective is to address the missing “insensitivity” of robot manipulation, which practically relies on the dominant Vision-Language-Action (VLA) model. He and his team have pioneered Vision-Tactile-Language-Action (VTLA) architecture, elevating the tactile to a modality on par with vision.

We spoke with Prof. Wang about how tactile feedback aims to change dexterous manipulation, how the dataset initiative is foreseen to improve our understanding of robotic hands in natural environments, and where — from hotels to convenience stores in China — he sees touch-enabled robots making their first real-world inroads.

Daimon-Infinity is the world’s largest omni-modal dataset for Physical AI, featuring million-hour scale multimodal data, ultra-high-res tactile feedback, data from 80+ real scenarios and 2,000+ human skills, and more.DAIMON Robotics

The Dataset Initiative

This month, DAIMON Robotics released the largest and most comprehensive robotic manipulation dataset with multiple leading academic institutions and enterprises. Why releasing the dataset now, rather than continuing to focus on product development? What impact will this have on the embodied intelligence industry?

DAIMON Robotics has been around for almost two and a half years. We have been committed to developing high-resolution, multimodal tactile sensing devices to perceive the interaction between a robot’s hand (particularly its fingertips) and objects. Our devices have become quite robust. They are now accepted and used by a large segment of users, including academic and research institutes as well as leading humanoid robotics companies.

As embodied AI continues to advance, the critical role of data has been clearer. Data scarcity remains a primary bottleneck in robot learning, particularly the lack of physical interaction data, which is essential for robots to operate effectively in the real world. Consequently, data quality, reliability, and cost have become major concerns in both research and commercial development.

This is exactly where DAIMON excels. Our vision-based tactile technology captures high-quality, multimodal tactile data. Beyond basic contact forces, it records deformation, slip and friction, material properties and surface textures — enabling a comprehensive reconstruction of physical interactions. Building on our expertise in multimodal fusion, we have developed a robust data processing pipeline that seamlessly integrates tactile feedback with vision, motion trajectories, and natural language, transforming raw inputs into training-ready dataset for machine learning models.

Recognizing the industry-wide data gap, we view large-scale data collection not only as our unique competitive advantage, but as a responsibility to the broader community.

By building and open-sourcing the dataset, we aim to provide the high-quality “fuel” needed to power embodied AI, ultimately accelerating the real-world deployment of general-purpose robotic foundation models.

The robotics industry is highly competitive, and many teams have chosen to focus on data. DAIMON is releasing a large and highly comprehensive cross-embodiment, vision-based tactile multimodal robotic manipulation dataset. How were you able to achieve this?

We have a dedicated in-house team focused on expanding our capabilities, including building hardware devices and developing our own large-scale model. Although we are a relatively small company, our core tactile sensing technology and innovative data collection paradigm enable us to build large-scale dataset.

Our approach is to broaden our offering. We have built the world’s largest distributed out-of-lab data collection network. Rather than relying on centralized data factories, this lightweight and scalable system allows data to be gathered across diverse real-world environments, enabling us to generate millions of hours of data per year.

“To drive the advancement of the entire embodied AI field, we have open-sourced 10,000 hours of the dataset for the broader community.” —Prof. Michael Yu Wang, DAIMON Robotics

This dataset is being jointly developed with several institutions worldwide. What roles did they play in its development, and how will the dataset benefit their research and products?

Besides China based teams, our partners include leading research groups from universities, such as Northwestern University and the National University of Singapore, as well as top global enterprises like Google DeepMind and China Mobile. Their decision to partner with DAIMON is a strong testament to the value of our tactile-rich dataset.

Among the companies involved there are some that have already built their own models but are now incorporating tactile information. By deploying our data collection devices across research, manufacturing and other real-world scenarios, they help us to gather highly practical, application-driven data. In turn, our partners leverage the data to train models tailored to their specific use cases. Furthermore, to drive the advancement of the entire embodied AI field, we have open-sourced 10,000 hours of the dataset for the broader community.

Robotic gripper delicately holding a cracked eggshell in a dimly lit roomEquipped with Daimon’s visuotactile sensor, the gripper delicately senses contact and precisely controls force to pick up a fragile eggshell.Daimon Robotics

From VLA to VTLA: Why Tactile Sensing Changes the Equation

The mainstream paradigm in robotics is currently the Vision-Language-Action (VLA) model, but your team has proposed a Vision-Tactile-Language-Action (VTLA) model. Why is it necessary to incorporate tactile sensing? What does it enable robots to achieve, and which tasks are likely to fail without tactile feedback?

Over these years of working to make generalist robots capable of performing manipulation tasks, especially dexterous manipulation — not just power grasping or holding an object, but manipulating objects and using tools to impart forces and motion onto parts — we see these robots being used in household as well as industrial assembly settings.

It is well established that tactile information is essential for providing feedback about contact states so that robots can guide their hands and fingers to perform reliable manipulation. Without tactile sensing, robots are severely limited. They struggle to locate objects in dark environments, and without slip detection, they can easily drop fragile items like glass. Furthermore, the inability to precisely control force often leads to failed manipulation tasks or, in severe cases, physical damage. Naturally, the VLA approach needs to be enhanced to incorporate tactile information. We expanded the VLA framework to incorporate tactile data, creating the VTLA model.

An additional benefit of our tactile sensor is that it is vision-based: We capture visual images of the deformation on the fingertip surface. We capture multiple images in a time sequence that encodes contact information, from which we can infer forces and other contact states. This aligns well with the visual framework that VLA is based upon. Having tactile information in a visual image format makes it naturally suitable for integration into the VLA framework, transforming it into a VTLA system. That is the key advantage: Vision-based tactile sensors provide very high resolution at the pixel level, and this data can be incorporated into the framework, whether it is an end-to-end model or another type of architecture.

Close-up of a vision-based tactile sensor with 110,000 sensing units, resembling a smartwatch screen glowing with colorful digital static in the darkDAIMON has been known for its vision-based tactile sensors that can pack over 110,000 effective sensing units.DAIMON Robotics

The Technology: Monochromatic Vision-based Tactile Sensing

You and your team have spent many years deeply engaged in vision-based tactile sensing and have developed the world’s first monochromatic vision-based tactile sensing technology. Why did you choose this technical path?

Once we started investigating tactile sensors, we understood our needs. We wanted sensors that closely mimic what we have under our fingertip skin. Physiological studies have well documented the capabilities humans have at their fingertips — knowing what we touch, what kind of material it is, how forces are distributed, and whether it is moving into the right position as our brain controls our hands. We knew that replicating these capabilities on a robot hand’s fingertips would help considerably.

When we surveyed existing technologies, we found many types, including vision-based tactile sensors with tri-color optics and other simpler designs. We decided to integrate the best of these into an engineering-robust solution that works well without being overly complicated, keeping cost, reliability, and sensitivity within a satisfactory range, thus ultimately developing a monochromatic vision-based tactile sensing technique. This is fundamentally an engineering approach rather than a purely scientific one, since a great deal of foundational research already existed. With the growing realization of the necessity of tactile data, all of this will advance hand in hand.

Daimon tactile sensor showing force, geometry, material, and contact data visualizations.DAIMON vision-based tactile sensor captures high-quality, multimodal tactile data.DAIMON Robotics

Last year, DAIMON launched a multi-dimensional, high-resolution, high-frequency vision-based tactile sensor. Compared with traditional tactile sensors, where does its core advantage lie? Which industries could it potentially transform?

The key features of our sensors are the density of distributed force measurement and the deformation we can capture over the area of a fingertip. I believe we have the highest density in terms of sensing units. That is one very important metric. The other is dynamics: the frequency and bandwidth — how quickly we can detect force changes, transmit signals, and process them in real time. Other important aspects are largely engineering-related, such as reliability, drift, durability of the soft surface, and resistance to interference from magnetic, optical, or environmental factors.

A growing number of researchers and companies are recognizing the importance of tactile sensing and adopting our technology. I believe the advances in tactile sensing will elevate the entire community and industry to a higher level. One of our potential customers is deploying humanoid robots in a small convenience store, with densely packed shelves where shelf space is at a premium. The robot needs to reach into very tight spaces — tighter than books on a shelf — to pick out an object. Current two-jaw parallel grippers cannot fit into most of these spaces. Observing how humans pick up objects, you clearly need at least three slim fingers to touch and roll the object toward you and secure it. Thus, we are starting to see very specific needs where tactile sensing capabilities are essential.

From Academia to Startup

After 40 years in academia — founding the HKUST Robotics Institute, earning prestigious honors including IEEE Fellow, and serving as Editor-in-Chief of IEEE TASE — what motivated you to found DAIMON Robotics?

I have come a long way. I started learning robotics during my PhD at Carnegie Mellon, where there were truly remarkable groups working on locomotion under Marc Raibert, who founded Boston Dynamics, and on manipulation under my advisor, Matt Mason, a leader in the field. We have been working on dexterous manipulation, not only at Carnegie Mellon, but globally for many years.

However, progress has been limited for a long time, especially in building dexterous hands and making them work. Only recently have locomotion robots truly taken off, and only in the last few years have we begun to see major advancements in robot hands. There is clearly room for advancing manipulation capabilities, which would enable robots to do work like humans. While at Hong Kong University of Science and Technology, I saw increasingly greater people entering this area in the form of students and postdoctoral researchers. We wanted to jumpstart our effort by leveraging the available capital and talent resources.

Fortunately, one of my postdocs, Dr. Duan Jianghua, has a strong sense for commercial opportunities. Recognizing the rapid growth of robotics market and the unique value that our vision-based tactile sensing technology could bring, together we started DAIMON Robotics, and it has progressed well. The community has grown tremendously in China, Japan, Korea, the U.S., and Europe.

Humanoid robots assembling electronics on an automated factory production lineRobots equipped with DAIMON technology have been deployed in factory settings. The company aims to enable robots to achieve “embodied intelligence” and close the gap between what they can see and what they can feel.DAIMON Robotics

Business Model and Commercial Strategy

What is DAIMON’s current business model and strategic focus? What role does the dataset release play in your commercial strategy?

We started as a device company focused on making highly capable tactile sensors, especially for robot hands. But as technology and business developed, everyone realized it is not just about one component, rather the entire technology chain: devices, data of adequate quality and quantity, and finally the right framework to build, train, and deploy models on robots in real application environments.

Our business strategy is best described as “3D”: Devices, Data, and Deployment. We build devices for data collection, our own ecosystem, and for deploying them in our partners’ potential application domains. This enables the collection of real-world tactile-rich data and complete closed-loop validation. This will become an integral part of the 3D business model. Most startups in this space are following a similar path until eventually some may become more specialized or more tightly integrated with other companies. For now, it is mostly vertical integration.

Embodied Skills and the Convergence Moment

You’ve introduced the concept of “embodied skills” as essential for humanoid robots to move beyond having just an advanced AI “brain.” What prompted this insight? What new capabilities could embodied skills enable? After the rapid evolution of models and hardware over the past two years, has your definition or roadmap for embodied skills evolved?

We have come a long way now see a convergence point where electrical, electronic, and mechatronic hardware technologies have advanced tremendously in last two decades. Robots are now fully electric, do not require hydraulics, because hardware has evolved rapidly. Modern electronics provide tremendous bandwidth with high torques. If we can build intelligence into these systems, we can create truly humanoid robots with the ability to operate in unstructured environments, make decisions, and take actions autonomously.

“Our vision is for robots to achieve robust manipulation capabilities and evolve into reliable partners for humans.” —Prof. Michael Yu Wang, DAIMON Robotics

AI has arrived at exactly the right time. Enormous resources have been invested in AI development, especially large language models, which are now being generalized into world models that enable physical AI capabilities. We would like to see these manifested in real-world systems.

While both AI and core hardware technologies continue to evolve, the focus is much clearer now. For example, human-sized robots are preferred in a home environment. This is an exciting domain with a promise of great societal benefit if we can eventually achieve safe, reliable, and cost-effective robots.

The Road to Real-World Deployment

Today, many robots can deliver impressive demos, yet there remains a gap before they truly enter real-world applications. What could be a potential trigger for real-world deployment? Which scenarios are most likely to achieve large-scale deployment first?

I think the road toward large-scale deployment of generalist robots is still long, but we are starting to see signs of feasibility within specific domains. It is very similar to autonomous vehicles, where we are yet to see full deployment of robo-taxis, while we have already started to find mobile robots and smaller vehicles widely deployed in the hospitality industry. Virtually every major hotel in China now has a delivery robot — no arms, just a vehicle that picks up items from the hotel lobby (e.g., food deliveries). The delivery person just loads the food and selects the room number. It is up to the robot thereafter to navigate and reach the guest’s room, which includes using the elevator, to deliver the food. This is already nearly 100 percent deployed in major Chinese hotels.

Hotel and restaurant robots are viewed as a model for deploying humanoid robots in specific domains like overnight drugstores and convenience stores. I expect complete deployment in such settings within a short timeframe, followed by other applications. Overall, we can expect autonomous robots, including humanoids, to progressively penetrate specific sectors, delivering value in each and expanding into others.

Ultimately, our vision is for robots to achieve robust manipulation capabilities and evolve into reliable partners for humans. By seamlessly integrating into our homes and daily lives, they will genuinely benefit and serve humanity.

This interview has been edited for length and clarity.

Reference: https://ift.tt/CRrvOTq

Transmission Hardware Corona Performance and HVDC Submarine Cable EM Fields




Laboratory or in-field measurements are often considered the gold standard for certain aspects of power system design; however, measurement approaches always have limitations. Simulation can help overcome some of these limitations, including speeding up the design process, reducing design costs, and assessing situations that are often not feasible to measure directly. In this presentation, we will discuss two examples from the power system industry.

The first case we will discuss involves corona performance testing of high-voltage transmission line hardware. Corona-free insulator hardware performance is critical for operation of transmission lines, particularly at 500 kV, 765 kV, or higher voltages. Laboratory mockups are commonly used to prove corona performance, but physical space constraints usually restrict testing to a partial single-phase setup. This requires establishing equivalence between the laboratory setup and real-world three-phase conditions. In practice, this can be difficult to do, but modern simulation capabilities can help. The second case involves submarine HVDC cables, which are commonly used for offshore wind interconnects. HVDC cables are often considered to be environmentally inert from an external electric field perspective (i.e., electric fields are contained in the cable, and the cable’s static magnetic fields induce no voltages externally). However, simulation demonstrates that ocean currents moving through the static magnetic field satisfy the relative motion requirement of Faraday’s law. Thus, externally induced electric fields can exist around the cable and are within a range detectable by various aquatic species.

Key Takeaway:

  • Learn how to use modern simulation to translate single-phase laboratory corona mockups into accurate three-phase real-world performance for 500 kV and 765 kV systems.
  • Explore the physics behind how ocean currents interacting with HVDC submarine cables create induced electric fields—a phenomenon often overlooked but detectable by aquatic species.
  • Gain actionable insights into how to leverage simulation to reduce design costs and bypass the physical space constraints that often stall traditional testing.
  • See a practical application of electromagnetic theory as we demonstrate how relative motion in static magnetic fields necessitates simulation where direct measurement is unfeasible.
Reference: https://events.bizzabo.com/860041

Wednesday, April 29, 2026

GPU Renters Are Playing a Silicon Lottery




Think one GPU is very much like another? Think again. It turns out that there’s surprising variability in the performance delivered by chips of the same model. That can make getting your money’s worth by renting time on a GPU from a cloud provider a real roll of the dice, according to research from the College of William & Mary, Jefferson Lab, and Silicon Data.

“It’s called the silicon lottery,” says Carmen Li, founder and CEO of Silicon Data, which tracks GPU rental prices and benchmarks cloud-computing performance.

The silicon lottery’s existence has been known since at least 2022, when researchers at the University of Wisconsin tied it to variations in the performance of GPU-dependent supercomputers. Li and her colleagues figured that the effect would be even more pronounced for AI cloud customers.

Performance varies for GPU models in the cloud


Chart comparing GPU models by 16-bit TFLOPS and median hourly rental prices.

So they ran 6,800 instances of the index firm’s benchmark test on 3,500 randomly selected GPUs operated by 11 cloud-computing providers. The 3,500 GPUs comprised 11 models of Nvidia GPU, the most advanced being the Nvidia H200 SXM. (The team wasn’t just picking on Nvidia; the GPU giant makes up most of the rental cloud market.)

The benchmark, called SiliconMark, is intended to provide a snapshot of a GPU’s ability to run large language models, or LLMs. It tests 16-bit floating-point computing performance, measured in trillions of operations per second, and a GPU’s internal-memory bandwidth, measured in gigabytes per second. The results showed that the computing performance varied for all models, but for the 259 H100 PCIe GPUs it differed by as much as 34.5 percent, and the memory bandwidth of the 253 H200 SXM GPUs varied by as much as 38 percent.


Chart comparing GPU internal memory bandwidth by model, from Tesla T4 to H200 SXM.

Differences in how the GPU is cooled, how cloud operators configure their computers, and how much use the chip has seen can all contribute to variations in performance of otherwise identical chips. But Silicon Data’s analysis showed that the real culprit was variations in the chips themselves, likely due to manufacturing issues.

Such randomness has real dollars-and-cents consequences, the researchers argue, because there’s a chance that a pricier, more advanced GPU won’t deliver better performance than an older model chip.

So what should GPU renters do? “The most practical approach is to benchmark the actual rental they receive,” says Jason Cornick, head of infrastructure at Silicon Data. “Running a benchmark tool [such as SiliconMark] allows them to compare their specific instance’s performance against a broader corpus of data.”

Reference: https://ift.tt/h1HvgS9

IEEE Smart Village Is Helping to Electrify Rural Cameroon

<img src="https://spectrum.ieee.org/media-library/men-in-hard-hats-posing-together-at-a-miniature-solar-farm-amongst-a-dense-jungle...