The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at ...

An Agentic Approach for SoC Security Verification using Large Language Models” was published by researchers at University of ...

Explore the systemic vulnerabilities of multi-agent AI, from miscommunication to safety gaps, and what it means for the ...

Since the pandemic it has become readily apparent that our global supply chains are very complex, and in some cases, very ...

Funding: AuraML secures $1M pre-seed led by Turbostart to scale generative simulation tech for industrial robotics, enabling ...

Security intelligence and management solutions company Exabeam Inc. today unveiled an expansion of its Nova multi-agent ...

To accomplish this, the system uses Monte Carlo Tree Search (MCTS), a decision-making algorithm famously used by DeepMind’s AlphaGo. At each step, AB-MCTS uses probability models to decide whether ...

DeepMind's new AI system gives robots an inner voice, enabling zero-shot learning and efficient task mastery without prior ...