Artificial Intelligence & Machine Learning

Bipartisan AI Task Force Formed to Address AI Risks and Innovation A bipartisan group of state attorneys general has established a new Artificial Intelligence Task Force to navigate the complexities of AI development. Chaired by North Carolina Attorney General Jeff Jackson and Utah Attorney General Derek Brown, the initiative includes key partnerships with OpenAI and Microsoft. The task force’s core mission is to stay informed on AI advancements, protect the public—especially children—from potential AI-related harms, and develop foundational industry safeguards. This initiative aims to provide crucial consumer protection and a forum for coordination in the absence of comprehensive federal AI legislation. ...

NTT Sets New AV Safety Standard with Launch of Mobility Subsidiary Japanese telecommunications giant NTT has established a new subsidiary, NTT Mobility, to consolidate its expertise in the self-driving vehicle sector. The new company, launching in mid-December, will offer a comprehensive service for deploying and operating autonomous driving services across Japan. This initiative aims to overcome challenges like ensuring safe autonomous vehicle provision and developing infrastructure suited for Japan’s roads, with a service launch goal of April 2027. Concurrently, an NTT-developed technology for assessing video quality from autonomous vehicle remote-monitoring systems has been adopted as a new international standard. The model, named Parametric object-recognition-ratio-estimation, verifies in real-time if video streams are clear enough for safe object detection, alerting operators when quality drops below critical safety thresholds. ...

China’s DePTH-GPT: A New AI Model to Revolutionize Deep-Sea Research A team of Chinese scientists has launched a new artificial intelligence model named DePTH-GPT to advance deep-sea exploration. The model utilizes a combination of AI technologies, including deep learning, large language models, and computer vision, to analyze a wide range of data from the deep ocean such as video, topography, and bioacoustics. This new tool is expected to shift deep-sea research from traditional qualitative analysis to a more intelligent and predictive approach. DePTH-GPT has already been used to create an intelligent cognitive system for a seamount and a hydrothermal vent field. Developed as part of the UN Decade of Ocean Science for Sustainable Development, the model will be made available to global research institutions to create cognitive systems for various deep-sea habitats. ...

OpenAI CEO Sam Altman Pushes for Government-Owned AI Infrastructure OpenAI CEO Sam Altman has called for governments to invest in and own their artificial intelligence infrastructure. In a statement, Altman clarified that OpenAI is not seeking government loan guarantees for its data centers, emphasizing that companies should bear their own business risks. He suggested that a government-owned AI infrastructure, including a “strategic national reserve of computing power,” would serve the public interest. This comes as OpenAI faces scrutiny over its significant investment plans and the immense costs associated with advancing AI technology. Altman believes the risk of having insufficient computing power is greater than the risk of overbuilding. ...

SAP Boosts Enterprise AI with New Tools and Global Skills Initiative SAP has unveiled a suite of AI-powered enhancements for its SAP Build solution, featuring new data integration capabilities and intelligent automation via Joule Agents. These updates aim to accelerate developer workflows and transform how businesses leverage data and AI. Addressing the global demand for AI talent, SAP has also committed to upskilling 12 million people by 2030 through expanded training programs with partners like Coursera. The company introduced its first relational foundation model, SAP-RPT-1, designed for predicting business outcomes. Furthermore, SAP is expanding its Business Data Cloud ecosystem through a new partnership with Snowflake, enhancing existing integrations with Databricks and Google Cloud. ...

New AI Assistant ‘Denario’ Aims to Accelerate Scientific Discovery Researchers have introduced Denario, an AI-powered scientific assistant designed to accelerate the research process. This multi-agent system can assist with numerous tasks, including generating new research ideas, reviewing existing literature, creating research plans, writing and executing code, producing plots, and drafting scientific papers. Developed by a team from the University of Cambridge, the Flatiron Institute, and the Autonomous University of Barcelona, Denario is a modular tool for scientists at various stages of their work. While it has demonstrated the ability to generate entire research papers across disciplines like astrophysics and biology, its creators emphasize that it is a tool to augment, not replace, human scientists. They note the current version has limitations, with only about one in ten outputs providing significant insights and instances of data fabrication, making human oversight essential. The project’s code is publicly available, with a demo version accessible online. ...

Artificial Intelligence & Machine Learning New Open-Source Omni-Modal AI Model ‘LongCat-Flash-Omni’ Released A new state-of-the-art, open-source omni-modal AI model, LongCat-Flash-Omni, has been released. Featuring an impressive 560 billion parameters, this model marks a significant leap forward in the capabilities of open-source artificial intelligence. Its release is a major event for the AI community, equipping researchers and developers with powerful new tools for a diverse range of applications. Robotics & Autonomous Vehicles IIT Bombay Develops GPS-Free Control System for Autonomous Drone Swarms Researchers at the Indian Institute of Technology (IIT) Bombay have developed a groundbreaking control system enabling unmanned aerial vehicles (UAVs) to fly in coordinated swarms without GPS, inter-drone communication, or a central controller. This innovative method relies on ‘bearing-only’ measurements, where each drone uses its onboard camera to observe neighbors and maintain formation based on relative positions. ...

University of Alabama Boosts AI Research with New High-Performance Computing Center The University of Alabama is making a significant investment in artificial intelligence infrastructure to accelerate scientific research across various disciplines. To overcome the limitations of computing power, the university is constructing a new High Performance Computing and Data Center. This state-of-the-art center will provide faculty and students with access to the necessary GPUs to conduct high-level scientific and AI research. The university already leverages AI in diverse fields, from developing tools to recognize pain in premature infants to studying dark matter. The new facility, slated for completion in 2026, will dramatically enhance research capabilities and offer students invaluable hands-on experience. ...

NVIDIA & Oracle to Build DOE’s Largest AI Supercomputer with 100,000 Blackwell GPUs NVIDIA and Oracle have announced a collaboration to build the U.S. Department of Energy’s largest AI supercomputer. The project will involve two new systems at Argonne National Laboratory, named Solstice and Equinox. The Solstice system will feature a record-breaking 100,000 NVIDIA Blackwell GPUs, while the Equinox system will include 10,000. Together, these systems are expected to deliver a combined 2,200 exaflops of AI performance. The supercomputers will be used to accelerate scientific discovery and research in areas such as healthcare and materials science. This initiative is part of a broader effort to advance the United States’ leadership in artificial intelligence. ...

Qualcomm Challenges Nvidia with New AI Chips for Data Centers Qualcomm is entering the data center market with its next-generation AI inference accelerators, the AI200 and AI250, directly challenging Nvidia’s dominance. These chips are engineered for high-performance generative AI inference, promising a lower total cost of ownership and superior power efficiency. The AI250, set for a 2027 release after the AI200 in 2026, will feature an innovative near-memory computing architecture to dramatically increase memory bandwidth. Designed for compatibility with major machine learning frameworks, this strategic expansion marks Qualcomm’s significant move from mobile technology into enterprise AI hardware. ...