Macaron AI – a startup known for its Personal AI Agent – is betting on this very idea. Today, Macaron AI is officially ...

UKG's Noemie Weinbaum and Roy Kamp explore differential privacy as a mathematically provable protection that can withstand the unpredictability of agentic AI systems.

The Hertz Foundation is proud to recognize the 16 most recent graduates of the Hertz Fellowship in applied science, mathematics and engineering.

For the past decade, progress in artificial intelligence has been measured by scale: bigger models, larger datasets, and more ...

Researchers at Meta, the University of Chicago, and UC Berkeley have developed a new framework that addresses the high costs, infrastructure complexity, and unreliable feedback associated with using ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This “tabula rasa” approach led to amazing achievements, ...

CoreWeave (NASDAQ:CRWV) announced the launch of Serverless RL, a fast way to train AI agents using reinforcement learning, or RL. Shares of the company surged about 9% on Wednesday. The company said ...

First Joint Offering from Weights & Biases and OpenPipe, Provides Fast, Easy Way to Train with RL at Scale CoreWeave, Inc. (Nasdaq: CRWV), the AI Hyperscaler™, today announced the launch of Serverless ...

For years, Big Tech CEOs have touted visions of AI agents that can autonomously use software applications to complete tasks for people. But take today’s consumer AI agents out for a spin, whether it’s ...

Abstract: This paper aims to investigate the challenging problem of a multi-agent game with multiple pursuers and a single evader in an environment with multiple unknown uncertainties. A coupled ...

Abstract: Cooperative tasks are common in multi-agent systems, with closely cooperative tasks being a special case of this, where a change in the state of the environment requires multiple agents to ...