Watch an AI agent learn how to balance a stick—completely from scratch—using reinforcement learning! This project walks you ...

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 an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Traffic congestion, fuel consumption, and emissions also offer quantifiable performance indicators, making mobility uniquely ...

Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

Exaone, a homegrown AI foundation model that entered the global top 10 at seventh place -- marking the only Korean presence ...

Joining the ranks of a growing number of smaller, powerful reasoning models is MiroThinker 1.5 from MiroMind, with just 30 ...

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...