You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

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

Healthcare AI is growing up: instead of one massive model, 2026 favors teams of smaller, specialized models that collaborate, ...

Multi-Agent Reinforcement Learning (MARL) is an emerging subfield of artificial intelligence that investigates how multiple autonomous agents can learn collaboratively and competitively within an ...

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

This collection supports and amplifies research related to SDG 4: Quality Education. Generative AI is transforming the conventional dyadic teacher-student dynamic into a triadic framework centered ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

The overall relationship between the attacker and the ego system. The black solid arrows indicate the direction of data flow, the red solid ones indicate the direction of gradient flow and the red ...

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