Google unveils its biggest Search upgrade in 25 years at I/O, introducing an expanded AI-powered input field accepting text, images, videos, and files, plus new agentic features rolling out globally this summer across nearly 200 countries and 98 languages.
NVIDIA shatters records with $81.6 billion in Q1 fiscal 2027 revenue, surging 85% year-over-year, as explosive AI demand drives Data Center sales to $75.2 billion while the company projects an even bigger $91 billion quarter ahead.
A GitHub repository featuring 42 advanced Retrieval-Augmented Generation tutorials has exploded past 27,400 stars, reflecting surging demand from AI developers seeking hands-on guidance across cutting-edge RAG architectures including Graph RAG, RAPTOR, and Self-RAG.
Blackstone and Google are launching a $5 billion AI computing joint venture powered by Google's Tensor Processing Units, with 500 MW of U.S.-based data center capacity expected online by 2027 and Google veteran Benjamin Treynor Sloss named as CEO.
Google launches 'Gemini for Science,' a groundbreaking AI-powered suite partnering with 100+ institutions including Stanford and Imperial College London to revolutionize scientific discovery through hypothesis generation, computational analysis, and access to 30+ life science databases.
NVIDIA is hand-delivering its first custom CPU, Vera, to top AI labs including OpenAI, Anthropic, and SpaceXAI, featuring 88 custom Olympus cores and 50% faster per-core performance designed for agentic AI workloads, with Oracle Cloud Infrastructure set to deploy hundreds of thousands of units at hyperscale starting in 2026.
A new open-source CLI tool called 'whichllm' instantly scans your hardware and recommends the best local AI models you can actually run, ranked by real benchmark data from top leaderboards with a single command.
Unsloth Studio launches in beta, enabling users to train over 500 open-source AI models locally on Windows, Linux, and macOS up to 2x faster while using 70% less VRAM, with features including reinforcement learning, multi-GPU support, and API inference compatibility with tools like Claude Code.
A new 1B parameter AI model called HRM-Text is making foundation model pretraining accessible to nearly anyone, requiring up to 900x less data and 600x less compute than traditional methods, bringing full pretraining costs down to roughly $1000 using a hierarchical recurrent architecture with strong benchmark performance across GSM8k, MATH, …
NVlabs launches SANA, a groundbreaking open-source AI framework capable of generating stunning 4K images and video up to 100 times faster than competitors like Flux-12B, with multiple model variants, flexible deployment options including low-VRAM laptop support, and a fully open-sourced codebase under the Apache 2.0 license.