AI
Artificial Intelligence (AI), a branch of computer science, is concerned with developing computers capable of doing tasks that would typically need human intelligence. Such tasks include learning from and adjusting to new facts or situations, reading human language, discovering patterns, problem-solving, and decision-making.
SkyRL Adopts FP8 for RL, Cuts Rollout Time by 23%
SkyRL's FP8 reinforcement learning stack matches BF16 convergence while reducing rollout step time by up to 23%, boosting efficiency on NVIDIA GPUs.
Anthropic Launches $5M Grant Program for AI Wellbeing Research
Anthropic unveils $5M grant program to study AI's impact on user wellbeing, aiming to set industry benchmarks and involve independent experts.
Google Launches Intelligent Dictation in Gemini for macOS
Google rolls out intelligent dictation in Gemini for macOS, enabling seamless voice-to-text across all desktop applications.
KubeRay v1.7 Launches With Upgraded Features for Ray on Kubernetes
KubeRay v1.7 introduces major upgrades like History Server beta, enhanced RayJob management, and stronger security for Ray workloads on Kubernetes.
Anyscale Debuts GPU Health Observability for AI Workloads
Anyscale introduces GPU Health Observability, bridging hardware and ML workloads with real-time monitoring to reduce failures.
Ray 2.58 Unveils Native gVisor Sandboxing for Scalable AI Workloads
Ray 2.58 introduces native gVisor sandboxing, enabling scalable, isolated environments for reinforcement learning and agentic AI workloads.
How Learning Loops Build Durable AI Moats
Learning loops connect data curation, model training, and inference to help companies differentiate AI systems and scale intelligence efficiently.
Rising Cloud AI Costs Drive Interest in Hybrid AI Solutions
AMD’s Tokenomics Calculator highlights cost-saving potential of hybrid AI, as businesses navigate soaring cloud AI expenses.
NVIDIA RTX Spark Brings EA, Ubisoft, DLSS 4.5 to Gamescom 2026
NVIDIA unveils RTX Spark at Gamescom 2026, showcasing new PC games, DLSS 4.5, and anti-cheat tech for next-gen AI-powered gaming.
Anyscale Scales Ray Core to 10,000 Nodes for AI Workloads
Anyscale pushes Ray Core scalability, achieving 10,000-node clusters for AI training and inference. Key improvements include faster actor launches and reduced bottlenecks.