Most current autonomous driving systems rely on single-agent deep learning models or end-to-end neural networks. While ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

At HIMSS26, Dr. Nathan Moore of the BJC Accountable Care Organization will show how health systems can move beyond chatbots ...

Traffic congestion, fuel consumption, and emissions also offer quantifiable performance indicators, making mobility uniquely ...

Connect X9 (1.6 TB/s bandwidth), Bluefield 4 DPU (offloads storage/security), NVLink 6 switch (scales 72 GPUs as one), Spectrum X Ethernet Photonix (512 lanes, 200 Gbit optics for AI factories).

Joining the ranks of a growing number of smaller, powerful reasoning models is MiroThinker 1.5 from MiroMind, with just 30 ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

Health system and hospital executives see the promise of automation and artificial intelligence to customize patient outreach ...

CES 2026, the annual consumer tech conference held in Las Vegas, is here. And lucky for you, we have TechCrunch editors and ...

Insilico Medicine (“Insilico”), a world-leading artificial intelligence (AI)-driven drug discovery company, today announced a ...

CES 2026, the annual consumer tech conference held in Las Vegas, is here. And lucky for you, we have TechCrunch editors and ...