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

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

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 ...

Traditional epidemic modeling techniques, including compartmental, network, and temporal models, have historically ...

Professor Lei Ren’s team has proposed ProcessFM, the first foundational model framework tailored for the process industry.

Mixus’s collaborative model changes the economics of scaling AI. Mixus predicts that by 2030, agent deployment may grow 1000x and each human overseer will become 50x more efficient as AI agents become ...

Xiong is the Chief Scientist and co-founder of the Experian Innovation Lab. With more than 30 years of experience, he has applied AI and machine learning to develop solutions in fraud detection, ...

The mission reliability analysis and evaluation of complex system is a very important domain of reliability engineering. Aiming at the problem of complex system mission reliability simulation, basing ...

This paper considers the leader-following consensus for a class of nonlinear switched multi-agent systems (MASs) with non-strict feedback forms and input saturations under unknown switching mechanisms ...