Welcome to the September 29, 2025 edition of ACM TechNews, providing timely information for computer professionals three times a week.
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A new United Nations (U.N.) initiative positions the organization as the central forum for AI governance, unveiling a new global dialogue and a 40-member panel of experts to assess the technology’s risks and opportunities. Delegates highlighted AI’s promise in areas like health and food security, but warned of dangers such as mass surveillance, misinformation, and inequality. Said U.N. General Assembly President Annalena Baerbock. “The future will not be shaped by algorithms alone. It will be shaped by the choices we make together.”
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The New York Times; Steve Lohr (September 25, 2025)
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Voters in Switzerland narrowly approved the introduction of voluntary digital identity cards in the country. A similar proposal in 2021 was rejected over privacy concerns, but the new system will be government-controlled, storing data only on users’ smartphones rather than centrally. Digital IDs will remain optional, with traditional ID cards still valid. Authorities will only be able to verify specific requested details, such as proof of age.
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BBC News; Imogen Foulkes (September 28, 2025)
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A massive earthquake swarm that began beneath the Greek island of Santorini earlier this year gave scientists a rare opportunity to map a volcano’s inner workings in real time. Researchers used newly deployed seafloor sensors and AI-processed seismic data to track more than 30,000 quakes, revealing magma movement between Santorini and the nearby Kolumbo undersea volcano. The swarm allowed scientists to model how a 13-kilometer dike formed and to confirm a long-suspected shared plumbing system.
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Science; Evan Howell (September 24, 2025)
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Cisco unveiled a software tool designed to integrate quantum computers from different makers into a single cloud. The tool can analyze quantum computing problems, divide them, and assign each part to the most suitable machine across different quantum technologies. The company said it also is developing specialized networking chips to connect quantum computers, aiming to ease complexities for software developers.
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Reuters; Stephen Nellis (September 25, 2025)
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Google DeepMind's new Gemini Robotics 1.5 and Gemini Robotics-ER 1.5 AI models can enhance robots’ ability to reason and complete multi-step real-world tasks such as sorting laundry and recycling rubbish. The models enable robots to plan, problem-solve, and even use online tools like Google search. Demonstrations showed robots folding laundry, packing for a trip with weather considerations, and sorting rubbish according to local guidelines. A new technique called “motion transfer” allows skills learned for one robot type to be applied to others.
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Financial Times; Melissa Heikkilä (September 25, 2025)
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Researchers at the Chilean research center Millennium Institute for Engineering and Artificial Intelligence for Health (iHEALTH) developed a digital twin that replicates the Purkinje network, the heart's electrical conduction system. The digital system offers a noninvasive method for detecting abnormal electrical activity in the heart and for testing pacemaker positions and other treatments before performing procedures on a patient. "This would allow for better planning of procedures, greater personalization and, therefore, more effective results," said Francisco Sahli at Pontifical Catholic University of Chile.
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UPI; Francisca Orellana (September 25, 2025)
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A 3D-printing technique developed by University of Minnesota Twin Cities researchers creates lifelike human tissue models with blood-like fluids that mimic the feel, stretch, and cutting response of real organs. Lead researcher Adarsh Somayaji said the new method “opens the door to creating more realistic training models for surgery, which could ultimately improve medical outcomes.”
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Interesting Engineering; Aamir Khollam (September 26, 2025)
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Taiwan Semiconductor Manufacturing Co. (TSMC) unveiled a new strategy to cut the power demands of AI chips by using AI itself to design them. At a Silicon Valley event, TSMC said AI-driven tools from software providers Cadence and Synopsys helped create “chiplet” packages of computer chips up to 10 times more energy efficient than today’s models.
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Reuters; Stephen Nellis (September 25, 2025)
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Security researchers disclosed a critical Bluetooth Low Energy vulnerability in several robots manufactured by Chinese robotics company Unitree that gives attackers full root access and enables worm-like self-propagation between nearby devices. The exploit, called UniPwn, affects Unitree’s Go2 and B2 quadrupeds as well as its G1 and H1 humanoids, and arises from hardcoded encryption keys and insufficient packet validation. Attackers can inject malicious code disguised as Wi-Fi credentials, leading to persistent compromise and potential botnet formation.
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IEEE Spectrum; Evan Ackerman (September 25, 2025)
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Working with the University of Texas at Arlington, Purdue University, and other organizations, NASA is developing an online tool that uses satellite data, hydrologic modeling, and AI to predict how wildfires may impact water systems. The HydroFlame tool offers scenario planning and real-time forecasts to help communities shift from crisis response to proactive water management. Piloted in Montana’s Clark Fork Basin, use of the tool will expand to California and Utah, with fieldwork beginning in Los Angeles County to refine predictions.
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NASA; Emily DeMarco (September 24, 2025)
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Supermicro server motherboards have been found vulnerable to two critical flaws that let hackers install persistent malware at the firmware level, undetectable and unremovable by conventional methods. The flaws, discovered by researchers at security firm Binarly, affect baseboard management controllers, which allow remote server management even when powered off. One issue stems from an incomplete January patch for CVE-2024-10237, while the second is an even more severe flaw. Together, they enable attacks similar to the ILObleed malware, which survived full system wipes.
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Ars Technica; Dan Goodin (September 24, 2025)
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Engineers at the University of Utah developed a compact hyperspectral video camera capable of capturing high-definition, high-speed images across 25 spectral channels. The new design uses a nanoscale diffractive element directly on the sensor to encode both spatial and spectral data into a single compressed image. Algorithms later reconstruct the data into a full “spectral cube,” enabling detailed analysis.
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The University of Utah John and Marcia Price College of Engineering (September 24, 2025)
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