Latest AI (Artificial Intelligence) News
Supermicro Expands Support for AI-RAN and Sovereign AI Solutions
Supermicro announced expanded support for AI-RAN and Sovereign AI on March 2, 2026, to deliver high-performance, efficient, and scalable AI infrastructure. This initiative focuses on cutting-edge solutions for telecom and data sovereignty needs. The expansion aims to meet growing demands for AI in edge computing and national AI deployments.
Chinese Scientists Use AI to Predict Thorium-232 Fission Yields
Researchers from Henan Normal University, Peking University, and China Institute of Atomic Energy employed a Bayesian neural network to model thorium-232 fission product yields across neutron energies. This AI breakthrough addresses data gaps for thorium-based reactors like China's molten salt project. The method integrates machine learning with physical principles for improved nuclear data assessment.
Canada and India Forge AI-Focused Strategic Partnership
Prime Minister Carney secured a new partnership with India emphasizing AI, quantum computing, and technology innovation. Agreements include collaboration via Australia-Canada-India MOU on AI development and HCL Technologies expanding operations in Canada. The deal builds on recent summits to boost economic ties in AI and security.
Google DeepMind's Aletheia Achieves Scientific Breakthroughs
Google DeepMind unveiled Gemini Deep Think with internal model Aletheia, solving open math problems from Erdős database and contributing to papers in algorithms, economics, and physics. This marks a shift where AI acts as an automated research assistant, enhancing scientific workflows. Its superhuman speed and meticulousness amplify human intellect.
Google Connects GPT-5 to Autonomous Lab for Protein Production
In collaboration with Ginkgo, Google linked GPT-5 to an autonomous lab, reducing protein production costs by 40% through rapid experimentation of 6,000 combinations per iteration. This compresses years of lab work into weeks, revolutionizing drug discovery and materials science. The closed-loop AI system accelerates synthetic biology timelines.
UK Government Calls for Evidence on AI in Energy Systems
The UK launched a call for evidence on energy datasets for AI applications to enhance efficiency and cut emissions, potentially saving 3.2-5.4Gt CO2e annually by 2035. AI could improve grid balancing, renewable forecasting, and fault detection. Initiatives like ADViCE foster collaboration on AI for decarbonization.
Microsoft Chief Science Officer Highlights AI in Protein Design
Microsoft's Chief Science Officer predicts AI-driven breakthroughs in healthcare, designing proteins and molecules to treat Alzheimer's, ALS, and cancers by simulating possibilities beyond human intuition. Similar advances in materials science shorten discovery from decades to months. AI enables from-0-to-1 innovations in biology and networks.
OpenAI Releases Prism for Scientific Writing and ChatGPT Health
OpenAI launched Prism, a LaTeX-based tool for scientific writing, and ChatGPT Health for secure medical queries with personal data integration. These tools support research and health navigation without replacing professional care. They emphasize cautious, supportive AI applications.
Google Unveils Deep Think for Gemini 3 with Advanced Math Capabilities
Google introduced Deep Think for Gemini 3, boasting superior math and science performance, available to Ultra users, alongside integrations with Google Translate. This enhances reasoning for complex problem-solving. It signals accelerating AI capabilities in technical domains.
Japan Funds AI Research for Pattern Recognition and Robotics
Japan's JST supports AI projects detecting earthquakes, chemical catalysts, cancer targets, invasive species, and cooperative agents for business, plus human-like robot motions. These efforts leverage AI on vast data for discoveries. Breakthroughs highlight international AI innovation in science and automation.
AI-Based Molecules Show High Success in Phase I Trials
By December 2023, 21 of 24 AI-designed molecules succeeded in phase I trials with 80-90% rates, indicating AI's growing impact on drug discovery. Further progress continues to reshape pharmaceutical development. This underscores AI's efficiency in early-stage testing.