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

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 ...

This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic ...

This article is published by AllBusiness.com, a partner of TIME. What is "Reinforcement Learning"? Reinforcement Learning (RL) is a type of machine learning where a model learns to make decisions by ...

Reinforcement learning is a subfield of machine learning concerned with how an intelligent agent can learn through trial and error to make optimal decisions in its ...

Kaltura (Nasdaq: KLTR), the AI Video Experience Cloud, today announced that the Kaltura Class Genie has been selected as the winner of the “e-Learning Innovation of the Year” award in the 7th annual ...

Insights into what happens to corporate learning when AI and performance pressure collide with an L&D function still built ...

Meet NVIDIA Nitrogen, a generalist gaming agent trained on 40,000 hours of video, so you can understand how imitation learning scales.