Researchers have built AI systems capable of steering targeted brain circuits in real time, moving neuroscience closer to precise, closed-loop control of neural activity. These tools pair machine ...

Let’s look at how RL agents are trained to deal with ambiguity, and it may provide a blueprint of leadership lessons to ...

Overview The best AI engineer courses 2026 focus on building real, job-ready projects.Combining AI engineering basics with LLM engineering leads to stronger car ...

Abstract: Ensuring safety in multiagent reinforcement learning (MARL), particularly when deploying it in real-world applications such as autonomous driving, emerges as a critical challenge. To address ...

Abstract: With extensive pretrained knowledge and high-level general capabilities, large language models (LLMs) emerge as a promising avenue to augment reinforcement learning (RL) in aspects, such as ...

Over the past few years, AI systems have become much better at discerning images, generating language, and performing tasks within physical and virtual environments. Yet they still fail in ways that ...