The technique, called Reinforcement Learning with Verifiable Rewards with Self-Distillation (RLSD), combines the reliable ...

Modern warehouse logistics struggle to balance automated efficiency with operational unpredictability. While physical ...

In February 2026, Tencent tore down its pre-training and reinforcement-learning infrastructure and rebuilt both from scratch.

Sticking with the same people might feel safe and comfortable. But a new Northwestern University study suggests it can ...

In 2016, an AI program he developed at Google DeepMind, AlphaGo, taught itself to play the famously difficult game of Go with ...

Ineffable Intelligence Ltd., a British artificial intelligence startup founded a few months ago, has raised $1.1 billion in ...

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...

Learn why OpenAI shut down Sora to focus on its new GPT-6 model, and how it compares to Anthropic's Claude Mythos ahead of ...

Researchers have developed an economical vehicle-side strategy for electric bus charging stations participating in vehicle-to ...

Researchers have proposed a personalized longitudinal motion planning policy for intelligent vehicles that combines reinforcement learning with imitation learning. The approach is designed to reduce ...

Positive reinforcement traps ideas in echo chambers, while weakening connections is key to spreading information.

Researchers have introduced an online model-based reinforcement learning algorithm that trains robots directly from real-world interactions, bypassing extensive simulation. The approach builds a ...