Latest AI (Artificial Intelligence) News
Google Launches Gemini 3 Deep Research Agent
Google released Gemini 3 Pro-powered Deep Research agent on December 11, achieving 46.4% accuracy on Humanity's Last Exam benchmark for multi-step research tasks. A new Interactions API enables developers to embed these capabilities into apps.
Ideal for market analysis and competitive intelligence.
OpenAI and Google Release Powerful Models Hours Apart
OpenAI and Google unveiled their most advanced models within hours, marking a watershed in AI development during December 8-14. This intensifies the AI model race alongside Grok 4.1 and Claude 4.5.
Breakthroughs include multi-step reasoning up to 15 steps without coherence loss.
Brookhaven Physicist Solves Decades-Old Problem with AI
On December 15, Brookhaven Lab researcher Weiguo Yin used AI to crack a frustrated Potts model, revealing elegant mathematical symmetries and new states of matter. AI simplified complex mazes via symmetry, enabling solutions in one day despite errors.
Applications span quantum devices and high-temperature superconductivity.
Stanford-Carnegie Mellon Unveil 3D AI Chip Breakthrough
Researchers from Stanford and Carnegie Mellon presented a 3D chip at the 71st IEEE IEDM, integrating memory and computing to overcome the memory wall. Promises 1,000-fold performance gains for AI training and inference in 18-24 months.
Manufactured in commercial foundries for faster AI hardware.
Mount Sinai's V2P AI Tool Predicts Diseases from Mutations
Icahn School of Medicine launched V2P on December 15, identifying genetic mutations and predicting diseases like nervous system disorders or cancers. Ranked true variants in top 10 candidates using patient data, aiding diagnostics and drug discovery.
Future refinements target specific diseases and therapy tailoring.
2025 Research Fronts Highlight AI Dominance
China's CAS released the 2025 Research Fronts report, identifying 128 areas where AI features in over half of 18 emerging fronts. Includes AI language models in medicine, biomolecular design, and generative AI risk management.
Signals AI reshaping science across biology, physics, and social sciences.
CompressARC and KQ-SVD Revolutionize AI Efficiency
December breakthroughs feature CompressARC's 76,000-parameter model excelling via compression, and KQ-SVD reimagining transformer attention. Sparse mechanisms remove 99% connections while boosting performance.
Shifts focus to math principles over scaling.