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.

The role of artificial intelligence in game development has expanded significantly over the past decade, merging sophisticated reinforcement learning techniques with innovative game design to create ...

Reinforcement Learning does NOT make the base model more intelligent and limits the world of the base model in exchange for early pass performances. Graphs show that after pass 1000 the reasoning ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

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 ...

No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent? Conventional comparison learning, designed to help AI understand human preferences, ...

CNW/ - Manulife announced today that it has chosen Adaptive ML to provide model fine-tuning technology as part of its enterprise AI platform. Adaptive ML, ...

OpenAI is hiring a researcher to focus on health AI safety as it expands efforts to ensure its models provide reliable medical information. The San Francisco-based company is seeking a researcher, ...

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...

Nvidia Corp. today announced the launch of Nemotron 3, a family of open models and data libraries aimed at powering the next generation of agentic artificial intelligence operations across industries.