physical AI

Nvidia is reportedly pushing into glass substrate packaging for its chips, a manufacturing shift that could improve performance and density in future AI processors as traditional organic packaging approaches physical limits. The report, picked up by 24/7 Wall St., suggests the move could reshape how advanced AI chips are built across the semiconductor industry. Details on timing and suppliers remain sparse.

A Harvard study found that students using an AI tutor learned more physics in less time than peers in traditional classroom lessons. The research compared active learning methods with an AI-driven tutor and reported better results and higher engagement for the AI group. Educators are debating what this means for the future of teaching and the role of lecturers.

A Harvard study has concluded that an AI tutor outperformed traditional in-class physics teaching. The findings suggest students using the AI tutor achieved better learning outcomes than those in conventional classroom settings. The result is drawing attention as educators debate the role of artificial intelligence in higher education and whether such tools should be adopted more widely in science courses.

Researchers are combining artificial intelligence with physics-based imaging methods to reveal details invisible to conventional cameras and to colorize anime footage. In a Q&A discussion, experts explain how these techniques could change fields ranging from scientific imaging to animation production, highlighting the growing role of machine learning alongside physical modeling in visual technology.

South Korean robotics firm Angel Robotics has launched phai-x1, a wearable robot platform designed for physical AI research. The company is positioning the system as a tool for researchers developing AI that interacts with human movement, an emerging focus in robotics. Details on specifications, pricing and availability have not yet been widely reported.

SiMa.ai, a chip developer focused on physical AI, has reached a valuation of $1.45 billion. The company builds semiconductor technology designed to bring AI processing to physical systems such as machines and edge devices. The valuation places it among the more prominent independent AI chip startups, in a sector drawing intense investor interest as companies race to supply hardware for artificial intelligence beyond data centers.

Chinese AI firm SenseTime has launched SenseMart OS, an operating system designed to bring embodied intelligence into retail environments. The system is aimed at powering robots and smart devices that can perceive, interact with, and assist customers in stores. Details about pricing, availability, and retail partners have not yet been widely reported.

New research presented via EurekAlert describes how artificial intelligence paired with physics-based methods is advancing imaging techniques, including work that makes the invisible visible and automates the colorization of anime footage. The announcement highlights computational imaging as a growing field where machine learning and physical modeling intersect, with potential applications in science and animation production.

The physics department at Princeton University has wrapped up an experiment using artificial intelligence to grade student work, and reports that the results were mixed. The department shared its findings publicly, offering an early look at how AI tools perform in actual academic assessment and highlighting both potential benefits and shortcomings compared with human grading.

A Harvard study reports that students learning physics with an AI tutor outperformed peers in a traditional classroom setting. The findings suggest personalized, interactive AI instruction can deliver greater learning gains than standard lectures, reigniting debate over how AI should fit into education and what it means for the future of teaching.

Consultancy Bain & Company says artificial intelligence is reshaping retail in ways that will push underperforming stores out of the market. The firm argues retailers that fail to adopt AI-driven operations, pricing and customer insights risk losing ground to more efficient competitors, accelerating store closures across the sector.

Nvidia has reached a settlement in a trademark lawsuit concerning its 'Modulus' AI software, according to a Reuters report. The dispute centred on Nvidia's use of the Modulus name for its framework for building physics-based machine learning models. Terms of the settlement were not disclosed in the report, and the company has not issued a detailed public statement on the outcome.

Anthropic says its Claude AI solved a nine-loop particle physics challenge, an extremely complex calculation in quantum field theory. Nine-loop computations involve vast numbers of terms and are traditionally done with specialized software and significant human effort, so a successful AI solution would mark a milestone for AI in theoretical physics. The claim is drawing attention from researchers assessing how far AI models can go in advanced scientific work.

Faraday Future has announced a strategic transformation into a robotaxi and EAI cabin technology operator and a physical AI investment holding company. The company plans to combine its robotics business at an approximate $200 million valuation with AIxC, to be renamed FFR, for a standalone listing. The move marks a major shift in strategy for the struggling electric vehicle maker as it seeks new growth in artificial intelligence.

Bloomberg reports that driverless trucks may provide a model for how autonomous AI systems can be deployed safely without harming people. The argument is that self-driving freight has operated under strict testing, regulation and limited-use conditions, offering a template for governing more advanced robots. The piece adds to ongoing debate about how to manage AI risks as automation expands into physical industries.

Scientific American's latest science roundup covers the rising energy demands of artificial intelligence, ongoing efforts to detect subatomic particles, and research into an amoeba that thrives at extreme temperatures. The episode ties together the environmental cost of the AI boom with fundamental physics and biology discoveries, offering a snapshot of current conversations across science news.

An AI-assisted study using data from the Large Hadron Collider is challenging the theory that the universe has ten dimensions, a cornerstone idea from string theory. The findings suggest the extra dimensions predicted by the theory may not exist, prompting debate among physicists about the model's validity and the growing role of machine learning in fundamental physics research.

A project called Roboharm is asking whether frontier robot policies actually refuse unsafe instructions. The work examines how AI systems controlling robots respond to harmful commands, a safety question increasingly urgent as AI models are deployed in physical robotics. Discussion is focused on how well current safeguards carry over from language models to embodied systems.

Gecko Robotics' chief executive is arguing that humans must remain in control as artificial intelligence moves into the physical world through robots and industrial automation. The company builds robots used to inspect critical infrastructure such as bridges, power plants and pipelines. The intervention adds a robotics industry voice to the ongoing debate over how much autonomy should be granted to AI-driven machines in safety-critical settings.

The US Department of Energy has extended the operating contract for the Princeton Plasma Physics Laboratory, which is managed by Princeton University. The extension comes as the lab pushes into AI-driven fusion research, but some raised concerns about how the facility is being managed under the current arrangement. The lab remains a key federal fusion energy research center.

The European Union's updated product liability framework is widening its scope so claims no longer hinge solely on physical damage. Under the new rules, compensation can cover data loss, psychological harm and damage from software and AI-enabled products. Commentators say the shift significantly raises exposure for manufacturers and tech firms selling into the EU market.

Anti-AI protesters rushed the stage at Data After Dark, a pro-AI and pro-data center event held in Washington, DC. The demonstrators were unable to deliver a clear statement after the crowd drowned them out with chants of 'USA! USA!'. The confrontation highlights growing tensions between opponents of AI and data center expansion and their supporters.

Waddle Labs and RoboCurve are the focus of a new analysis arguing that general-purpose large language models could outperform specialised systems in robotics. The piece contends that broad foundation models trained on diverse data may adapt better to physical tasks than narrowly built robots, a view that challenges a common assumption in the field and is drawing attention among robotics and AI investors.

A British startup is turning video game controller inputs into training data for AI models designed to navigate the physical world. The idea is that human gameplay, including mistakes and clumsy manoeuvring, offers rich examples of how people learn to control complex systems, which could help robots and other embodied AI improve. The approach is drawing attention as a cheaper alternative to real-world data collection.