Latest AI (Artificial Intelligence) News
Google unveils Gemini 3.1 Ultra with larger multimodal context
Google reportedly launched Gemini 3.1 Ultra, highlighting multimodal reasoning across text, images, and audio. The model is said to support a 2M-token context window, aiming for more coherent long-context interactions and stronger AI utility for complex tasks.
OpenAI debuts GPT-5.4 with major workflow and context upgrades
OpenAI unveiled GPT-5.4, described as a powerful new model with a 1M-token context window. The release emphasizes multi-step workflow execution and stronger performance in desktop task simulations, signaling a push toward more capable AI agents.
Google researchers introduce TurboQuant to cut AI memory costs
Google researchers unveiled TurboQuant, a technology designed to reduce KV cache memory overhead in large AI models. By improving memory efficiency, it could make long-context AI deployment faster and more affordable for developers and enterprises.
NVIDIA releases open-source Ising models for quantum AI error correction
NVIDIA introduced open-source Ising models aimed at quantum AI error correction. The move links AI and quantum computing by giving researchers tools to improve system reliability and performance in emerging quantum applications.
Anthropic and KPMG form global alliance for AI-powered business services
KPMG and Anthropic launched a global alliance to power KPMG’s Digital Gateway with Claude. The partnership reflects continued enterprise demand for managed AI solutions that can be integrated into consulting and business workflows.
OpenAI and Dell expand Codex deployment for hybrid enterprise environments
OpenAI and Dell announced an expanded partnership bringing the Codex coding agent to hybrid and on-premises enterprise setups. The deal is notable because it targets organizations that want AI coding tools without moving fully to the cloud.
Meta begins major layoffs while increasing AI spending
Meta reportedly began its largest single round of layoffs, cutting roughly 8,000 jobs while continuing to invest heavily in AI. The company’s actions highlight how Big Tech is balancing cost reduction with aggressive AI infrastructure spending.