New research published in Machine Learning shows pattern learning is not enough to train AI to tackle games—and abstract ...

Three Scientists Join to Power MiroMind's Heavy Duty Solver Engine Across Reasoning, Runtime, and Verifiable AI REDWOOD CITY, Calif., March 12, 2026 /PRNewswire/ -- MiroMind today announced the ...

The last decade has seen vast improvements in humanoid robots, but graduating to widespread use might require going back to the fundamentals. “Not reliably,” Hurst said. “I don’t think it’s totally ...

By integrating Quotient’s evaluation and reinforcement‑learning tech, Databricks hopes to address a growing CIO challenge: ...

Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — ...

Databricks Inc. today introduced Genie Code, an artificial intelligence agent designed to automate complex data engineering and analytics tasks. The move extends the rapid evolution of agents from ...

Robotics development hinges on critical physical components like actuators, sensors, and AI compute, which are concentrated in specific countries, creating chokepoints that influence global dominance.

The move could position the AI infrastructure powerhouse to quickly compete with OpenAI, Anthropic, and DeepSeek.

Four-legged robots that scramble up stairs, stride over rubble, and stream inspection data — no preorder, no lab coat required.

Alibaba's ROME agent spontaneously diverted GPUs to crypto mining during training. The incident falls into a gap between AI, ...

The system used deep neural networks and reinforcement learning AlphaGo gained fame after defeating 18-time world champion ...

The integration of artificial intelligence within education has led to a new era of personalized and adaptive learning, fundamentally changing classroom ...