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.

Ambuj Tewari receives funding from NSF and NIH. Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a ...

Forbes contributors publish independent expert analyses and insights. Author, Researcher and Speaker on Technology and Business Innovation. Apr 19, 2025, 03:24am EDT Apr 21, 2025, 10:40am EDT ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Watch an AI agent learn how to balance a stick—completely from scratch—using reinforcement learning! This project walks you through how an algorithm interacts with an environment, learns through trial ...

Andrej Karpathy says that reinforcement learning is still terrible but better than all other AI learning approaches. Elon Musk believes there is a 10% chance that XAI Grok 5 can achieve AGI. Musk ...

A new kind of artificial intelligence agent, trained to understand how software is built by gorging on a company’s data and learning how this leads to an end product, could be both a more capable ...

In April 2023, a few weeks after the launch of GPT-4, the Internet went wild for two new software projects with the audacious names BabyAGI and AutoGPT. “Over the past week, developers around the ...

Who are they? Richard Sutton and Andrew Barto are pioneers of reinforcement learning, a machine learning technique modern AI models utilize. Sutton is often referred to as the "father of reinforcement ...

Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for machines and living ...