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.
Ray Data Adds GPU-Native Operators With NVIDIA cuDF Integration
Anyscale's Ray Data now supports NVIDIA cuDF and RapidsMPF, delivering up to 3x better TCO for GPU-accelerated AI data processing workloads.
NVIDIA Unveils Jetson Orin Nano 2, Doubling Edge AI Power
NVIDIA's Jetson Orin Nano 2 promises 2x AI performance for robotics, drones, and vision systems, targeting millions of developers.
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.