The reality of AI in the workplace is more complex than either complete job displacement or simple augmentation ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

In this work, we frame PDE solving as tool invocation via LLM-driven agents and introduce PDE-Agent, the first toolchain-augmented multiagent collaboration framework, inheriting the reasoning capacity ...

Modern AI Agents are now typically powered by Large Language Models (LLMs). The LLM acts as the Agent’s reasoning core, ...

In this tutorial, we build an advanced meta-cognitive control agent that learns how to regulate its own depth of thinking. We treat reasoning as a spectrum, ranging from fast heuristics to deep ...

One problem enterprises face is getting employees to actually use the AI agents their dev teams have built. Google, which has already shipped many AI tools through its Workspace apps, has made Google ...

The Tampa Bay Rays will be seeking some upgrades to help their lineup this winter, and one area specifically should be addressed. Coming into the offseason, the Rays are hopeful to keep pace in the ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

The offseason has been hectic so far for the Tampa Bay Rays, with the team making a plethora of moves recently. Even though the Rays have been busy, they still have yet to make a significant move to ...

For elementary students, math problem-solving often feels like a puzzle without all the pieces. They know there’s a solution somewhere, but they can’t quite see how it all fits together. Behind every ...

The Los Angels Angels have a problem at third base, and it’s one of their most significant needs this offseason. It’s not an easy fix given the current state of the organization, but there is one free ...