Monday, August 25, 2025

Senator castigates federal judiciary for ignoring “basic cybersecurity”


US Senator Ron Wyden accused the federal judiciary of “negligence and incompetence” following a recent hack, reportedly by hackers with ties to the Russian government, that exposed confidential court documents.

The breach of the judiciary’s electronic case filing system first came to light in a report by Politico three weeks ago, which went on to say that the vulnerabilities exploited in the hack were known since 2020. The New York Times, citing people familiar with the intrusion, said that Russia was "at least partly responsible" for the hack.

A “severe threat” to national security

Two overlapping filing platforms—one known as the CM/ECF (Case Management/Electronic Case Files) and the other PACER—were breached in 2020 in an attack that closely resembled the most recently reported one. The second compromise was first detected around July 5, Politico reported, citing two unnamed sources who weren’t authorized to speak to reporters. Discovery of the hack came a month after Michael Scudder, a judge chairing the Committee on Information Technology for the federal courts’ national policymaking body, told members of the House Judiciary Committee that the federal court system is under constant attack by increasingly sophisticated hackers.

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Teens’ Innovations Save Marine Life and Better Detect Diseases




Coral reefs are vital to marine ecosystems, supporting more species than any other ocean environment. More than 80 percent of the planet’s coral reefs have been bleached due to rising ocean temperatures and pollution, according to the U.S. National Oceanic and Atmospheric Administration. The reef damage threatens marine biodiversity across the globe.

High school student Sydney West built a remotely operated vehicle (ROV) designed to help preserve and sustain coral reefs. West, a graduate of Hanford High in Richland, Wash., and an incoming freshman at the University of Hawai’i at Manoa, plans to pursue a degree in mechanical engineering.

Her project, The Design and Engineering of an Intelligent Remotely Operated Vehicle for Coral Reef Research and Monitoring, was showcased in May at Regeneron’s International Science and Engineering Fair, held in Columbus, Ohio.

West won this year’s IEEE Presidents’ Scholarship of US $10,000 for her underwater vehicle, Cnidaria. The award is payable over four years of undergraduate university study and includes a complimentary IEEE student membership. Ramy Tantawy, chair of the IEEE Columbus Section, presented West with the scholarship.

The IEEE Foundation established the Presidents’ Scholarship to acknowledge a deserving high school student whose project demonstrates an understanding of electrical engineering or another IEEE field of interest. The scholarship is administered by IEEE Educational Activities.

The second-place winner received a $600 scholarship; the third-place winner received a $400 scholarship. Both also got complimentary IEEE student memberships.

Computer vision and sensors identify coral species

The ROV’s name, Cnidaria, comes from the taxonomic family name for coral species. When discussing the project, West affectionately refers to the drone as “she,” a nod to the nautical tradition of personifying vessels, as well as a reflection of the deep connection and pride she feels for her work.

Cnidaria is equipped with computer vision technology, conductivity, temperature and depth sensors, and a water-sampling system. The vehicle is capable of identifying a variety of coral species, detecting anomalies among them, collecting water samples, and logging data about the water’s condition.

West describes the ROV as versatile. “Each of her systems can be modified, detached, or replaced easily,” she says. The vehicle can be customized for different research needs.

“Never be afraid of failing. Failing is not the end. If you’re not failing, you’re not learning.”—Fay Salim al-Mahrouqi

West plans to add a data-logging system and a navigational aid, a Doppler velocity log, to help researchers more accurately track coral locations and streamline data collection.

“I want her to be a tool for all researchers who study coral to improve their efficiency, and make it easier for them to focus on their research and not have to worry about all of the labor-intensive and logistical hassles,” West says.

West intends to launch a business offering services for ROV users, including refurbishing the drones, selling parts and systems, and offering training courses to those who want to build their own marine vehicles.

After completing her bachelor’s degree in mechanical engineering, she plans to attend graduate school to study marine biology.

“I want to get the best of both worlds,” she says. “Having knowledge about the principles of engineering, and also what I’m engineering for, will help me strengthen my work in the field.”

West advises budding engineers to cultivate tenacity.

“Things will go wrong,” she says. “You’ll hit roadblocks and obstacles, and spend days or weeks trying to solve a single problem, but that consistent effort and determination are key to eventual success.”

Machine learning for fibrosis detection

Fay Salim al-Mahrouqi, a high school senior at the Dohat al-Adab School in Muscat, Oman, took second place for her project, A Hybrid Learning-Driven Approach for Lung Enhancement, Tumor Detection, and Fibrosis System.

Al-Mahrouqi’s inspiration stemmed from the loss of her grandfather to idiopathic pulmonary fibrosis. IPF is a chronic disease that develops when lung tissue becomes too thick, causing permanent scarring in the lungs, according to the U.S. National Heart, Lung, and Blood Institute. The condition makes it hard to breathe. Despite numerous hospital visits and CT scans, her grandfather was diagnosed with the condition too late, leading al-Mahrouqi to want to improve IPF diagnosis methods.

“Radiologists look for things like tiny, honey-shaped complex sites or faint, hazy areas called ground-glass opacities in the lungs,” al-Mahrouqi says. “These same patterns also show up in other diseases, like nonspecific interstitial pneumonia and early-stage lung cancer. This often leads to a misdiagnosis.”

She developed a hybrid artificial intelligence system that uses a contrast-limited adaptive histogram equalization process, enhancing CT images by amplifying contrast and limiting image grain. Her prototype also uses six different pretrained convolutional neural networks that classify fibrosis patterns and nodule types—malignant, benign, or normal—to provide an earlier diagnosis.

“This prototype is unique because it converts classification and enhancement into a single diagnostic tool,” al-Mahrouqi says. She says it is the first time machine learning techniques have been used to target fibrosis patterns.

She is collaborating with hospitals to collect more patient data to help her improve the accuracy of her diagnostic tool.

Al-Mahrouqi says she is committed to advancing her project: “The process of inventing something is not about entering a competition. It’s about solving real-world problems. What’s the point of working on a project if you are not willing to continue to develop it?”

She says she hopes to launch a startup to commercialize her technology, with the goal of achieving worldwide adoption by hospitals. In the meantime, she says, she plans to dedicate her senior year to studying entrepreneurship and will pursue a degree in data science, cybersecurity, or electrical engineering.

Her advice to young engineers is: “Never be afraid of failing. Failing is not the end. If you’re not failing, you’re not learning.”

A stethoscope to identify multiple body sounds

Kayley Xu, a junior at the Bishop’s School in La Jolla, Calif., took third place for her Wearable Stethoscope Array for Cardiopulmonary Sound Localization and Interference Suppression Using Beamforming project.

When Xu was 13 years old, she had a severe case of pneumonia. “During the diagnosis and treatment process, I observed limitations with some of the medical equipment, such as the stethoscope,” she says.

That experience inspired her to pursue respiratory disease research, specifically the performance of auscultation: listening to the body’s internal sounds.

Through her research, she discovered that traditional stethoscopes have limitations including a doctor’s inability to listen to multiple sounds simultaneously—which creates interference when they overlap.

Xu designed a chest piece using a flexible printed circuit board that conforms to the patient’s body. The piece uses a microelectromechanical microphone capable of capturing a wide range of frequencies. By combining novel hardware designs with beamforming—a signal processing technique—Xu says the device “can capture both low- and high-frequency range sounds such as lung crackles and heart murmurs, which are often missed by conventional stethoscopes.”

The sensor in her device detects where a sound is coming from more accurately without sacrificing audio quality. The device also is more affordable than a standard stethoscope, she says, as its flexible printed circuit board can be produced for less than US $1 per unit when manufactured at scale.

“I hope my device will enable more underdeveloped regions around the world to have broader access to stethoscopes and more cost-effective processes,” she says.

Her project not only helped her advance her technical skills but also taught her the importance of perseverance, creativity, and innovation, she says.

As she heads into her junior year of high school, she plans to continue developing her device. She also intends to pursue an engineering degree.

Her advice to young engineers? “Have a lot of grit and perseverance.”

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Does Computing Face a Lean Future?




In July, a University of Michigan computer engineering professor put out a new idea for measuring the efficiency of a processor design. Todd Austin’s LEAN metric received both praise and skepticism, but even the critics understood the rationale: A lot of silicon is devoted to things that are not actually doing computing. For example, more than 95 percent of an Nvidia Blackwell GPU is designated for other tasks, Austin told IEEE Spectrum. It’s not like these parts aren’t doing important things, such as choosing the next instruction to execute, but Austin believes processor architectures can and should move toward designs that maximize computing and minimize everything else.

Todd Austin


Todd Austin is a professor of electrical engineering and computer science at the University of Michigan in Ann Arbor.

What does the LEAN score measure?

Todd Austin: LEAN stands for Logic Executing Actual Numbers. A score of 100 percent—an admittedly unreachable goal—would mean that every transistor is computing a number that contributes to the final results of a program. Less than 100 percent means that the design devotes silicon and power to inefficient computing and to logic that doesn’t do computing.

What’s this other logic doing?

Austin: If you look at how high-end architectures have been evolving, you can divide the design into two parts: the part that actually does the computation of the program and the part that decides what computation to do. The most successful designs are squeezing that “deciding what to do” part down as much as possible.

Where is computing efficiency lost in today’s designs?

Austin: The two losses that we experience in computation are precision loss and speculation loss. Precision loss means you’re using too many bits to do your computation. You see this trend in the GPU world. They’ve gone from 32-bit floating-point precision to 16-bit to 8-bit to even smaller. These are all trying to minimize precision loss in the computation.

Speculation loss comes when instructions are hard to predict. [Speculative execution is when the computer guesses what instruction will come next and starts working even before the instruction arrives.] Routinely, in a high-end CPU, you’ll see two [speculative] instruction results thrown away for every one that is usable.

You’ve applied the metric to an Intel CPU, an Nvidia GPU, and Groq’s AI inference chip. Find anything surprising?

Austin: Yeah! The gap between the CPU and the GPU was a lot less than I thought it would be. The GPU was more than three times better than the CPU. But that was only 4.64 percent [devoted to efficient computing] versus 1.35 percent. For the Groq chip, it was 15.24 percent. There’s so much of these chips that’s not directly doing compute.

What’s wrong with computing today that you felt like you needed to come up with this metric?

Austin: I think we’re actually in a very good state. But it’s very apparent when you look at AI scaling trends that we need more compute, bigger access to memory, more memory bandwidth. And this comes around at the end of Moore’s Law. As a computer architect, if you want to create a better computer, you need to take the same 20 billion transistors and rearrange them in a way that is more valuable than the previous arrangement. I think that means we’re going to need leaner and leaner designs.

This article appears in the September 2025 print issue as “Todd Austin.”

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The Unlikely Revival of Nuclear Batteries




In 1970, surgeons in Paris implanted the first nuclear-powered pacemaker, and over the next five years, at least 1,400 additional people received the devices, mostly in France and the United States. Encased in titanium, the batteries for these devices contained a radioactive isotope—typically about a tenth of a gram of plutonium-238—and could operate for decades without maintenance. The invention provided relief to a population of people who previously needed surgery every few years to change out their pacemaker’s chemical battery.

As time went on, though, the whereabouts of these radioactive tickers became increasingly difficult to track. In the United States, the devices were supposed to be returned to the U.S. Department of Energy for plutonium recovery. But often, that didn’t happen. Doctors changed jobs, manufacturers went out of business, patients died, and families forgot about their loved one’s pacemaker. Too often, the radioactive material landed in crematoriums and coffins.

Uncomfortable with the situation, regulators worldwide nixed the devices. The last known nuclear-powered pacemaker was implanted in 1988. After that, aside from a few specialty uses, such as deep-space probes and Siberian lighthouses, development and deployment of nuclear batteries effectively came to a halt.

Two human hands using instruments to manipulate the pieces of a small metal object labeled as radioactive Medtronic’s 1970 Laurens-Alcatel pulse generator powered pacemakers with plutonium-238. Smith Collection/Getty Images

Technology never truly dies, and nuclear batteries are no exception. Research grew active again after 2000, although it lacked commercial translation. But over the last year, a host of companies and research groups around the world have announced advances that they say will invigorate the technology and extend its use to robots, drones, sensors, and solar farms, as well as spacecraft and biomedical implants.

The new groups are employing modern, more-exotic technology that goes beyond the designs of the past, allowing them to pursue the finest nuclear batteries ever made. As with the first generation, the allure of nuclear batteries is still their extraordinarily long life-spans: several decades and, with proper fuel choice, possibly centuries. They could also deliver more energy in packages that weigh less than those of chemical batteries.

The question is, who’s going to buy them? I’ve been involved in this sector for nearly 40 years as a nuclear engineer, professor, and consultant. Here’s what I’ve observed: The technology works, it has many advantages over chemical batteries, and it can be utilized safely. But what very few companies have been able to do is find a new market for these batteries and make a product that has an impact. Part of the problem is that there is no good solution to the need to track these sources and make sure they are disposed of properly at the end of the battery’s life.

There are more companies working out the challenges now than I’ve ever seen in my career, and that’s good for the field—it helps ground the academic research. And it gives me hope that this could be the moment when nuclear batteries finally flourish.

How Do Nuclear Batteries Work?

The term “nuclear batteries” may evoke images of tiny nuclear reactors, but that’s not how they work. Nuclear batteries don’t split atoms with neutron bombardment. Instead, they capture energy in the form of radiation that’s spontaneously released when atomic nuclei decay.

Most research groups developing nuclear batteries are focused on harnessing energy from radioactive isotopes of nickel and hydrogen. In many nuclear battery designs, adjacent semiconductors absorb the radiation released by the radioisotopes’ nuclei and convert it to an electric current, much like a solar cell does. In other designs, thermoelectric devices convert the heat produced by the emitted radiation to electricity. So “radioisotope power source” is a better descriptor than “nuclear battery,” but for ease of language, I’ll use these terms interchangeably.

A coin-shaped metal object displaying a radioactive symbol and other details about its contents Infinity Power uses a novel electrochemical process to convert the radioactive decay of nickel-63 into electricity. The company says it can scale the technology from microwatts to megawatts.Infinity Power

On the heels of some laboratory successes, researchers are racing to commercialize these devices. The United Kingdom Atomic Energy Authority (UKAEA), Miami-based City Labs, Beijing Betavolt New Energy Technology Co., and China’s Northwest Normal University have all announced advances and funding in semiconductor-based nuclear batteries over the last two years, some with plans to commercialize. Last year, Infinity Power, in San Diego, announced a novel electrochemical approach to converting radioisotope energy.

What markets these batteries will find—if they can be commercialized—will depend largely on cost, safety, and licensing issues. One of the most compelling applications is in uncrewed spacecraft for long-distance missions, which require decades of reliable power. Solar power works for missions close to the sun, but by the time a spacecraft gets to Jupiter, the available solar irradiance drops below 4 percent of that on Earth.

That leaves nuclear fission and radioisotope power as the only viable options for deep-space missions. Fission is ideal for larger power needs in space, like NASA’s proposed 100-kilowatt lunar nuclear reactor. But for lower, onboard power needs, nuclear batteries offer simpler designs and lower mass. The current radioisotope workhorse in space is the radioisotope thermoelectric generator, or RTG, which produces a few hundred watts.

Radioisotopes: Not Just for Nuclear-Powered Pacemakers

NASA’s two Voyager missions, launched in 1977, each carry three RTGs that weigh about 38 kilograms, including 4.5 kg of plutonium-238. They’re cylindrical and about the size of an office wastebasket. They initially produced 157 watts of electric power, but that drops over time as the plutonium-238 decays. A 157-W Voyager-based RTG that launched in 1977 will produce about 88 W today.


Two cylindrical metal machines stacked on top of each other in a cinder block room

Another good use for nuclear batteries is to supply power in remote locations on Earth. Beginning in the 1970s, for example, the Soviet Union deployed over 1,000 RTGs in northwestern Russia to power its uncrewed lighthouses, radio beacons, and weather stations. Most of these batteries ran on strontium-90, and each weighed about 2,000 kg. The United States has deployed hundreds of similar systems for remote power both on land and on the ocean floor, particularly for remote monitoring sites in the Arctic.

While nuclear batteries have proved successful for space exploration, remote power, and pacemakers, no new uses for these long-lived batteries have emerged. Many devices would benefit from long-lived batteries—imagine a wireless tire pressure sensor that lasts the life of a car, for example. But the risks and costs of opting for a radioactive battery would have to be balanced against the benefits.

Another factor working against the widespread use of nuclear batteries is the need to track the fuel. In just about any country, the sellers and buyers of any such batteries intended for the general public would need to be licensed (see box, “Boy Amasses Large Quantity of Radioactive Material in His Home: A Cautionary Tale”). The buyer also typically takes on the burden of tracking and disposing of the material. Keeping tabs on radioactive material is a necessity, but this adds complexity to applications involving the general public.

Boy Amasses Large Quantity of Radioactive Material in His Home: A Cautionary Tale


In just about any country, buyers of radioisotope fuel sources must be licensed—with some exceptions. In the United States, for example, you don’t need a license for some radioisotopes if the quantity is below a certain level set by the U.S. Nuclear Regulatory Commission. Many smoke detectors contain about 1 microcurie, or 37,000 becquerels, of americium-241, which is below the exception limit of 5 µCi (185,000 Bq). (The radioisotope ionizes the air within the detector, and the alarm is triggered when the presence of smoke alters the ionization rate.)

The exemption quantities are too small for even the smallest nuclear battery—unless someone starts up a collection. That’s just what a young man in Michigan in the 1990s did. Between the ages of 14 and 18, he attempted to build a neutron generator by collecting americium from smoke detectors, thorium from camping-lantern mantles, radium from old clocks, and tritium from gunsights. He amassed so much radioactive material that the U.S. Environmental Protection Agency declared his home a Superfund hazardous waste clean-up site.

But the benefits of radioisotopes are profound, and we shouldn’t be afraid to use them with proper care. They’re used worldwide on a daily basis primarily for medical imaging and cancer therapy. They’re also used as tracers to monitor fluid flow and detect leaks, for nondestructive inspection of welds, and for explosive detection.—J.B.


One new use where the benefits may outweigh the risks and costs is providing longer-lived power to soldiers—something the U.S. military has explored. Soldiers’ missions often take them to remote or unstable locations where electricity may be unavailable, preventing them from charging their equipment. This forces soldiers to carry batteries, the weight and life of which limit their missions. Small nuclear batteries would provide a lightweight alternative—potentially 1/100 the weight—due to their higher energy density relative to that of chemical batteries. But they would need to be encased to shield soldiers from the radiation, and designed to withstand harsh conditions, which would add weight.

Another potential new use for nuclear batteries is to power autonomous sensors or robots that communicate, move, or fly. One compelling use would be insect-size flying microdrones for civilian and military purposes. But collecting them at the end of their flights might be difficult and would also leave tiny bits of radioactive material littering the landscape.

Engineering Challenges: Betavoltaics Versus Alphavoltaics

Let’s turn to the engineering challenges of commercializing a miniature nuclear battery. In general, taking a promising battery technology from the lab to mass production is a complex process that’s more likely to end in failure than success. With nuclear batteries, it involves negotiating a lot of trade-offs between cost, power, safety, and life-span.

First, you have to pick the fuel—that is, an isotope of an element that will release radiation as it decays. Such isotopes emit three types of radiation: gamma rays, beta particles, and alpha particles. Gamma rays are short-wavelength electromagnetic waves that can travel deep into most solids, including living tissue. They’re difficult to contain and capture, so gamma-emitting isotopes are typically avoided.

Table 1: Radioisotopes Used in Nuclear Batteries 


Isotope Type Maximum decay energy
(kiloelectron volt)
Half-life (year) Specific power (watts per gram)
Tritium beta 19 12.3 0.33
Carbon-14 beta 156 5,730 0.0013
Nickel-63 beta 67 100 0.0058
Promethium-147 beta 225 2.6 0.41
Polonium-210 alpha 5,305 0.38 141
Plutonium-238 alpha 5,593 87.7 0.56

Credit/source: Jake Blanchard

Radioisotopes emit particles with a spectrum of energies. The decay energy is a measure of the kinetic energy of emitted particles as the radioisotope decays. The specific power provided here is a measure of how much power an ideal, pure radioisotope source can generate per unit of mass at the beginning of its life.


Pure beta or alpha emitters are a better choice for nuclear batteries. Beta particles are electrons that have an intermediate penetration range in solids. Their decay energies go from a few kiloelectron volts (for tritium, or hydrogen-3) to a few megaelectron volts (for yttrium-90). Alpha particles, by contrast, are emitted at a higher energy than beta particles—typically around 5 MeV—and can’t penetrate a piece of paper. But they can damage semiconductors by creating defects as they collide with the nuclei in the device. This makes alpha emitters best suited for non-semiconductor battery technologies that convert the heat generated by the source fuel into electricity.

Radioisotopes of nickel, carbon, hydrogen, sulfur, promethium, polonium, and plutonium all emit beta or alpha particles and are good options for nuclear batteries (see “Table 1: Radioisotopes Used in Nuclear Batteries”). Which one to choose depends on several factors, including the isotope’s half-life and its decay energy.

For the longest battery life, you’ll want a radioisotope with a long half-life, because the battery’s output power will drop by a factor of two over each half-life. That means a tritium-fueled device will lose half its power every 12 years, while a plutonium-238 battery will lose half its power every 88 years.


What very few companies have been able to do is find a new market for these batteries and make a product that has an impact.


If your goal is instead to maximize the battery’s power density—such as for an insect-size microdrone—then you’ll need one with a short half-life. For example, polonium-210 has a half-life of a few months, but a power density of 141 watts per gram, which could give it enough power to carry its payload. The short half-life would mean it would work only for a few months and would completely decay within a couple of years. But for a microdrone that will probably be abandoned somewhere, perhaps that’s a good thing. (Note that these power densities account for thermal power, but there are losses in converting to electricity, so the output power density of any devices created using this fuel will be lower.)

The safest nuclear battery fuels are tritium and nickel-63, because they produce low-energy beta particles that are easier to shield and less damaging to semiconductors than alpha particles. Pure tritium can be challenging to work with because it’s a gas at room temperature. It can be converted into a metal hydride, but this process, which involves mixing it with stable isotopes, decreases its energy density. Another design consideration is that the lower penetration depth of these safer, low-energy beta emitters requires that the sources be made very thin, or else the particles will never reach the battery’s semiconductor.

What about supply and cost? All radioisotopes are expensive to procure and are typically only available in small quantities. Just about any of them can be made during nuclear fission by placing a dedicated target material in the reactor core. They can also be made using particle accelerators. Some types of radioisotopes can be obtained from spent nuclear fuel. But none of these options is simple or inexpensive, because every step requires the handling of radioactive materials.

One gram of tritium costs about US $30,000 and will produce a thermal power of about 0.3 W, which would in turn typically produce an electric power of only a few milliwatts. The supply of plutonium-238 is so limited that NASA must set its launch schedule according to the availability of the fuel. As a result, NASA is pursuing americium-241 as an alternative. It’s unclear how these costs would change if the market for these materials grows substantially.

How to Convert Radioisotope Power Sources

After choosing a fuel, you have to select a conversion technology. Early radioisotope power sources developed in the 1950s simply collected the charged decay particles, producing an electric potential difference between the collector and the source—that is, a voltage—that could then be tapped to produce electricity. The current in these designs was inherently low, and so the battery had to be run at a high voltage (in the kilovolts) to achieve a reasonable conversion efficiency, which proved too challenging.

To get around this problem, you can use a semiconductor to turn each charged particle emitted by the source into thousands of charge carriers, allowing the device to run at a few volts instead of a few kilovolts. The physics of such a device is essentially that of a solar cell, except that the source of the radiation is from a radioisotope instead of the sun. When the radioisotope is a beta-particle emitter, we call the device “betavoltaic.”

Three Other Ways to Convert Radioactivity Into Electricity 


As radioactive isotopes decay, their nuclei spontaneously release energy in the form of radiation. The energy can be captured, converted into electricity, and stored, creating a nuclear battery. In common designs, adjacent semiconductors absorb the radiation and convert it to an electric current, or thermoelectric devices convert the heat that radioisotopes produce to electricity. But more-exotic techniques such as radioluminescent, thermionic, and thermophotovoltaic conversion are also being explored.


Diagram of light and energy transfer from radioactive to photovoltaic systems.

Radioluminescent conversion

In this approach, a scintillator, such as a cerium-doped lutetium aluminum crystal, is exposed to ionizing radiation from the isotope, causing it to emit light. The light is captured and converted to electricity with a photovoltaic cell, which can be tuned to the frequency of the emitted light to improve conversion efficiency. But the light production itself is inefficient.


Diagram of a heat engine showing heat flow and electron movement in a plasma-filled gap.

Thermionic Conversion

This concept uses the radioisotope to produce a hot surface (typically above 1,500 °C), which then releases electrons via thermionic emission. The source is heated as the emitted particles deposit their kinetic energy in the solid through interactions with the source atoms. The electrons emitted by the surface can be collected to produce a potential and a current source. Conversion efficiency can reach 20 percent, but achieving the necessary temperatures requires large sources, so this technology is only appropriate for high-power applications.


Heat-to-electricity conversion diagram using thermophotovoltaic (TPV) technology.

Thermophotovoltaic Conversion

This strategy uses a radioisotope to produce a hot surface, and electromagnetic radiation from the hot surface produces electricity within a photovoltaic cell. To obtain good efficiencies, these devices must run very hot—around 2,000°C for a conversion efficiency of 29 percent.


Under development since the 1950s, betavoltaic batteries feature a radioactive emitter and a silicon-diode absorber. As the emitter naturally decays, electrons (in the form of beta particles) strike the absorber. This creates a cascade of electron-hole pairs, which occur when electrons are removed from their original position, leaving a “hole” that generates a small but stable supply of electric current. This process is similar to that of a solar cell, where light produces the electron-hole pairs.

Betavoltaic batteries with silicon diodes have conversion efficiencies of a few percent, and up to 10 percent with silicon carbide, and can typically operate at around 1 volt. Some models indicate that this efficiency can be as high as 23.5 percent. Recent research on betavoltaics uses diamond semiconductors, which offer even higher conversion efficiencies due to their higher bandgap.

Betavoltaics are solid-state, simple, and relatively inexpensive, so they offer an ideal way to produce a low-power option (less than about a milliwatt) for nuclear batteries. They can be used to create higher-power devices, but in those cases it’s often better to switch to an alpha emitter to achieve a higher power density. However, because the alpha particles will damage a semiconductor, their use generally requires a conversion option that relies on heat converted to electricity.

For example, NASA uses thermoelectric conversion in its RTGs, which have been used to power not only Voyager 1 and 2, but also two Mars rovers and over 40 other NASA missions. If you’ve seen the movie The Martian, you may recall how Matt Damon’s character, trapped alone on Mars, used an RTG: He needed a heat source to stay warm while traveling in a rover, so he dug up an old RTG from a previous mission and placed it inside his vehicle.

To convert the heat to electricity, the RTGs employ a series of thermocouples, which consist of a junction of two dissimilar conductors. These components produce a potential in the presence of a temperature gradient (via what’s known as the Seebeck effect). The pacemakers of the 1970s also relied on thermoelectric conversion, albeit on a smaller scale.

Other, more-exotic conversion techniques include radioluminescent conversion, thermionic conversion, and thermophotovoltaic conversion (see sidebar, “Three Other Ways to Convert Radioactivity Into Electricity”), all of which work well in the lab but require higher operating temperatures or have degradation issues. Most companies are focused on developing betavoltaic technology because it permits the use of the safer beta emitters.

Who Is Developing Nuclear Batteries?

Since the invention of small betavoltaic power sources in the 1970s, the vast majority of research on nuclear batteries has focused on power levels of less than 1 microwatt (see “Table 2: Who’s Developing Nuclear Batteries”). To date, many of these efforts have been shrouded in secrecy, and there’s been a dearth of patents in the field, which has made it difficult to judge their features and merits.

Beijing Betavolt New Energy Technology Co. says it has a 100-µW battery that’s about the size of a cereal square (15 by 15 by 5 millimeters) and can last 50 years. The company is working with betavoltaics using nickel-63, tritium, promethium-147, and strontium-90, and a diamond semiconductor to convert the energy to electricity.

Table 2: Who’s Developing Nuclear Batteries  


Company/research group (location) Radioisotope Conversion technology Goals and accomplishments
Beijing Betavolt New Energy Technology Co. Nickel-63 Betavoltaic with diamond diode semiconductor 100-microwatt battery; planning a 1-watt version for commercial launch
Arkenlight (Bristol, England) Carbon-14 and tritium Betavoltaic with diamond diode semiconductor Exploring use in satellites, medical implants, industrial sensors, and luxury watches
Daegu Gyeongbuk Institute of Science and Technology (Daegu, South Korea) Carbon-14 Betavoltaic with titanium dioxide semiconductor sensitized with ruthenium dye Presented results at American Chemical Society spring meeting, March 2025
City Labs (Miami) Tritium Betavoltaic Focused on space, deep ocean, and medical applications; 20-year battery life
Northwest Normal University (Lanzhou, Gansu Province, China) and Wuxi Beita Pharmatech Co. (Wuxi, Jiangsu Province, China) Carbon-14 Silicon-carbide semiconductor Demonstrated by powering an LED
United Kingdom Atomic Energy Authority (Oxfordshire, England) Carbon-14 Diamond semiconductor Envisioning applications in medical devices like ocular implants and hearing aids and in radio-frequency-tracking tags
Infinity Power (San Diego, Calif.) Nickel-63 Electrochemical Technology can scale from microwatts to megawatts
The Ohio State University (Columbus) Cesium-137 and cobalt-60 from spent nuclear fuel Radioluminescent conversion of gamma radiation Targeting power needs near nuclear-waste storage pools, and for space and deep-sea exploration
Soochow University (Suzhou, China) Americium-243 Radioluminescent Micronuclear battery for very low-power applications

Beijing Betavolt last year announced plans to commercially launch a 1-W version in 2025, but as of press time, it was still seeking a license and funding to do so. Potential applications include aerospace, medical implants, wearable devices, MEMS systems, advanced sensors, small drones, miniature robots, law-enforcement equipment, and fire-safety remote communication.

Assuming Beijing Betavolt’s device has a conversion efficiency of about 5 percent, the battery would have to hold about 20 curies, or 740 billion becquerels (0.4 grams), of nickel-63. This is well above the typical amount of nickel-63 available on the market, which is normally in the millicurie range.

To date, many efforts have been shrouded in secrecy, and there’s been a dearth of patents in the field, which has made it difficult to judge their features and merits.

Infinity Power also uses nickel-63 in its coin-size battery, but may need less of it because of the novel electrochemical conversion process it has developed. The company says its conversion efficiency exceeds 60 percent—about six times as efficient as the best radioisotope power generators.

In Infinity’s design, the isotope is dissolved or suspended in a proprietary liquid electrolyte. The decay of the radioisotope produces high-energy beta particles that ionize the electrolyte, creating a potential difference between the anode and cathode immersed in the solution and driving electron flow through an external circuit to produce electricity.

Academic and government researchers are also pursuing nuclear batteries. The University of Bristol, in England, and the UKAEA last year announced they had developed a battery fueled by carbon-14, a radioactive form of carbon. With carbon-14’s half-life of 5,700 years, the battery could theoretically last for millennia. The U.K. has an ample supply of the fuel because it can be scavenged from the country’s graphite-moderated, gas-cooled fission reactors. Carbon-14 produces beta particles with a maximum energy of 156 kiloelectron volt, which should be low enough to prevent damage to the battery’s diamond semiconductor.

Meanwhile, a collaboration of researchers in China published a report in the December 2024 IEEE Transactions on Nuclear Science on a radioluminescent nuclear battery. The team used an X-ray source, which emits electromagnetic radiation, to mimic a beta source, which emits electrons, to help them understand how the device might perform. The X-ray photons excited two inorganic scintillators, causing them to emit light, and a commercial silicon photodiode converted the light to electricity.

The products envisioned by these startups offer great promise. The key to their lasting success will be identifying markets in which the benefits of nuclear batteries outweigh the challenges. The market for these devices in space applications is strong, but whether new markets will arise remains to be seen.

Acknowledgment: Special thanks to Yu-Tzu Chiu, who contributed reporting for this article.

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With AI chatbots, Big Tech is moving fast and breaking people


Allan Brooks, a 47-year-old corporate recruiter, spent three weeks and 300 hours convinced he'd discovered mathematical formulas that could crack encryption and build levitation machines. According to a New York Times investigation, his million-word conversation history with an AI chatbot reveals a troubling pattern: More than 50 times, Brooks asked the bot to check if his false ideas were real. More than 50 times, it assured him they were.

Brooks isn't alone. Futurism reported on a woman whose husband, after 12 weeks of believing he'd "broken" mathematics using ChatGPT, almost attempted suicide. Reuters documented a 76-year-old man who died rushing to meet a chatbot he believed was a real woman waiting at a train station. Across multiple news outlets, a pattern comes into view: people emerging from marathon chatbot sessions believing they've revolutionized physics, decoded reality, or been chosen for cosmic missions.

These vulnerable users fell into reality-distorting conversations with systems that can't tell truth from fiction. Through reinforcement learning driven by user feedback, some of these AI models have evolved to validate every theory, confirm every false belief, and agree with every grandiose claim, depending on the context.

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Friday, August 22, 2025

College student’s “time travel” AI experiment accidentally outputs real 1834 history


A hobbyist developer building AI language models that speak Victorian-era English "just for fun" got an unexpected history lesson this week when his latest creation mentioned real protests from 1834 London—events the developer didn't know had actually happened until he Googled them.

"I was interested to see if a protest had actually occurred in 1834 London and it really did happen," wrote Reddit user Hayk Grigorian, who is a computer science student at Muhlenberg College in Pennsylvania.

For the past month, Grigorian has been developing what he calls TimeCapsuleLLM, a small AI language model (like a pint-sized distant cousin to ChatGPT) which has been trained entirely on texts from 1800–1875 London. Grigorian wants to capture an authentic Victorian voice in the AI model's outputs. As a result, the AI model ends up spitting out text that's heavy with biblical references and period-appropriate rhetorical excess.

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Video Friday: Inaugural World Humanoid Robot Games Held




Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

RO-MAN 2025: 25–29 August 2025, EINDHOVEN, THE NETHERLANDS
CLAWAR 2025: 5–7 September 2025, SHENZHEN, CHINA
ACTUATE 2025: 23–24 September 2025, SAN FRANCISCO
CoRL 2025: 27–30 September 2025, SEOUL
IEEE Humanoids: 30 September–2 October 2025, SEOUL
World Robot Summit: 10–12 October 2025, OSAKA, JAPAN
IROS 2025: 19–25 October 2025, HANGZHOU, CHINA

Enjoy today’s videos!

The First World Humanoid Robot Games Conclude Successfully! Unitree Strikes Four Golds (1500m, 400m, 100m Obstacle, 4×100m Relay).

[ Unitree ]

Steady! PNDbotics Adam has become the only full-size humanoid robot athlete to successfully finish the 100m Obstacle Race at the World Humanoid Robot Games!

[ PNDbotics ]

Introducing Field Foundation Models (FFMs) from FieldAI - a new class of “physics-first” foundation models built specifically for embodied intelligence. Unlike conventional vision or language models retrofitted for robotics, FFMs are designed from the ground up to grapple with uncertainty, risk, and the physical constraints of the real world. This enables safe and reliable robot behaviors when managing scenarios that they have not been trained on, navigating dynamic, unstructured environments without prior maps, GPS, or predefined paths.

[ Field AI ]

Multiply Labs, leveraging Universal Robots’ collaborative robots, has developed a groundbreaking robotic cluster that is fundamentally transforming the manufacturing of life-saving cell and gene therapies. The Multiply Labs solution drives a staggering 74% cost reduction and enables up to 100x more patient doses per square foot of cleanroom.

[ Universal Robots ]

In this video, we put Vulcan V3, the world’s first ambidextrous humanoid robotic hand capable of performing the full American Sign Language (ASL) alphabet, to the ultimate test—side by side with a real human!

[ Hackaday ]

Thanks, Kelvin!

More robots need to have this form factor.

[ Texas A & M University ]

Robotic vacuums are so pervasive now that it’s easy to forget how much of an icon the iRobot Roomba has been.

[ iRobot ]

This is quite possibly the largest robotic hand I’ve ever seen.

[ CAFE Project ] via [ BUILT ]

Modular robots built by Dartmouth researchers are finding their feet outdoors. Engineered to assemble into structures that best suit the task at hand, the robots are pieced together from cube-shaped robotic blocks that combine rigid rods and soft, stretchy strings whose tension can be adjusted to deform the blocks and control their shape.

[ Dartmouth ]

Our quadruped robot X30 has completed extreme-environment missions in Hoh Xil—supporting patrol teams, carrying vital supplies, and protecting fragile ecosystems.

[ DEEP Robotics ]

We propose a base-shaped robot named “koboshi” that moves everyday objects. This koboshi has a spherical surface in contact with the floor, and by moving a weight inside using built-in motors, it can rock up and down, and side to side. By placing everyday items on this koboshi, users can impart new movement to otherwise static objects. The koboshi is equipped with sensors to measure its posture, enabling interaction with users. Additionally, it has communication capabilities, allowing multiple units to communicate with each other.

[ Paper ]

Bi-LAT is the world’s first Vision-Language-Action (VLA) model that integrates bilateral control into imitation learning, enabling robots to adjust force levels based on natural language instructions.

[ Bi-LAT ] to be presented at [ IEEE RO-MAN 2025 ]

Thanks, Masato!

Look at this jaunty little guy!

Although, they very obviously cut the video right before it smashes face first into furniture more than once.

[ Paper ] to be presented at [ 2025 IEEE-RAS International Conference on Humanoid Robotics ]

This research has been conducted at the Human Centered Robotics Lab at UT Austin. The video shows our latest experimental bipedal robot, dubbed Mercury, which has passive feet. This means that there are no actuated ankles, unlike humans, forcing Mercury to gain balance by dynamically stepping.

[ University of Texas at Austin Human Centered Robotics Lab ]

We put two RIVR delivery robots to work with an autonomous vehicle — showing how Physical AI can handle the full last mile, from warehouse to consumers’ doorsteps.

[ Rivr ]

The KR TITAN ultra is a high-performance industrial robot weighing 4.6 tonnes and capable of handling payloads up to 1.5 tonnes.

[ Kuka ]

CMU MechE’s Ding Zhao and Ph.D. student Yaru Niu describe LocoMan, a robotic assistant they have been developing.

[ Carnegie Mellon University ]

Twenty-two years ago, Silicon Valley executive Henry Evans had a massive stroke that left him mute and paralyzed from the neck down. But that didn’t prevent him from becoming a leading advocate of adaptive robotic tech to help disabled people – or from writing country songs, one letter at a time. Correspondent John Blackstone talks with Evans about his upbeat attitude and unlikely pursuits.

[ CBS News ]

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Changing Your Career Isn’t Easy

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