10 results on this page
AWS outlines enterprise patterns for operating many agentic AI systems across diverse frameworks, models, and providers. The guidance focuses on preserving flexibility and enabling multi-agent systems to scale together without vendor lock-in.
Generative recommenders are shifting recommendation objectives from embedding similarity toward predicting a user's next action or item. The approach uses user-history sequences and large catalogs to rethink how recommendation systems are trained and served at scale.
The FDA has approved Aletta, a robot that can locate a patient's vein, insert a needle, and draw blood without direct human assistance. The system could help address shortages of trained phlebotomy staff.
Waymo has disclosed key details about the high-performance computers installed in the trunks of its robotaxis. The company shared processor specifications, chip architecture, internal components, and hardware suppliers for the first time.
China is increasingly deploying supernodes—clusters of dozens or hundreds of chips and supporting hardware—to scale AI computing. By combining larger quantities of domestic chips, these systems aim to deliver competitive performance despite US export restrictions on advanced AI chips.
This systematic review examines how large language models support mental-health applications, including social-media analysis, clinical conversational agents, therapy support, and psychoeducation. It also covers multimodal diagnosis, prompt engineering, interpretability, and the ethical and regulatory safeguards needed for responsible deployment.
The Association for Advancing Automation says non-automotive industries accounted for 54.8% of North American robot orders in the first half of 2026. The shift is being driven by applications in semiconductors, life sciences, pharmaceuticals, food, and consumer products, while AI, collaborative robots, and mobile robots expand the market.
MORPHI made its first systematic domestic appearance at WRC, showcasing its newly released embodied-intelligence model architecture, MoRA. The demonstration focused on how a robot’s embodied brain supports practical long-horizon tasks.
Apple Machine Learning presents a lexical-intervention approach for improving cross-lingual knowledge transfer when target-language data is scarce. The work targets downstream capabilities such as scientific reasoning, commonsense inference, and world knowledge without relying heavily on parallel data, translation systems, or auxiliary models.
The emergence of advanced AI systems such as Anthropic's Claude Mythos 5 is raising new concerns about AI-enabled cyberattacks. The article explains how companies can adapt their cybersecurity practices to respond at the speed of increasingly capable attackers.