Independent analysis explains why episodic leadership training fails to sustain behavioral consistency and introduces an ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

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

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

While it's not ready to join the workforce yet, Atlas, an AI-powered humanoid, is learning how to do human tasks.

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

When it comes to dog training, there are fundamentally different philosophies at play, and there have been for decades. However, the science behind training is becoming increasingly clear, especially ...

Abstract: Industry 5.0 enhances manufacturing ability through efficient human-machine interaction, combining human resources and robots to complete tasks more accurately and effectively. Artificial ...

According to @godofprompt, Meta has introduced DreamGym, a cutting-edge framework reshaping how AI agents learn through reinforcement learning. Traditional reinforcement learning has struggled with ...

TechCrunch was proud to host Scale Venture Partners at Disrupt 2025 in San Francisco. Here’s an overview of their AI Stage session. The reinforcement learning market has exploded, with enterprises ...

Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates ...