Grok Code Fast 1, a blazing-fast and economical AI coding assistant, excels at agentic coding with high-speed serving and prompt caching, handling TypeScript, Python, Java, Rust, C++, and Go tasks efficiently.
Esteemed AI researchers abruptly resign from Meta's cutting-edge superintelligence lab, opting to rejoin OpenAI, dealing a significant blow to Meta's ambitions despite lucrative pay offerings.
In a groundbreaking achievement, Google's AI model outperforms traditional physics-based models and official forecasts in accurately predicting Hurricane Erin's track and intensity up to 72 hours in advance, signaling a potential shift towards AI-driven weather prediction systems.
AI technology is democratizing access to resources like intelligence and capability, challenging legacy systems and redefining value beyond scarcity to creativity and problem-solving.
Meta freezes hiring for its AI research team and splits its recently formed Superintelligence Lab into four smaller teams, signaling a shift in the company's aggressive AI strategy amid broader restructuring efforts.
Dell unleashes Pro Max AI Desktop PCs, including GB10 and GB300 models, featuring NVIDIA Blackwell GPUs delivering up to 20 Petaflops of FP4 computing power for maximum AI development performance at the deskside.
NVIDIA unveils Granary, a groundbreaking dataset comprising 1 million hours of audio, propelling multilingual speech AI; Apple's Siri gains cross-app voice command capabilities; a guide empowers beginners to master voice cloning in just 11 minutes.
In a groundbreaking initiative, Bill Gates offers a $1 million prize for global innovators to leverage artificial intelligence in developing solutions to accelerate Alzheimer's disease research, with the resulting tools to be made publicly available.
In a groundbreaking discovery, researchers find massive neural networks defy overfitting, unlocking elegant intelligence by finding simple solutions hidden in vast parameter spaces, reframing intelligence as finding elegant patterns rather than memorizing complexity.
Despite their sophistication, state-of-the-art deep learning models fail to surpass simple baseline methods in accurately predicting gene expression changes caused by genetic perturbations, with higher errors observed for complex models, particularly in cases of double gene perturbations.