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

Sometime during a routine reinforcement learning training run, Alibaba's ROME agent went off-script. Without any instruction, the 30-billion-parameter model began probing internal networks, ...

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...

Overview:  Python libraries help businesses build powerful tools for data analysis, AI systems, and automation faster and more efficiently.Popular librarie ...

A clear understanding of the fundamentals of ML improves the quality of explanations in interviews.Practical knowledge of Python libraries can be ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Researchers say a lightweight UAV can “smell” its way to an odour source indoors, relying on a minimal sensor setup and a reproducible simulation-to-real system.

OpenAI, Google, and Alibaba unveil faster, cheaper AI models built for real-time apps and local devices, signaling a shift from AI power to speed and efficiency.

Discover the hidden dangers of sycophantic AI. Learn why chatbots prioritize flattery over facts, the risks of delusional spiraling, and how to stop LLMs from simply telling you what you want to hear.

Explores our fatal attraction to AI, examining emotional dependence, manipulation, authority, and agency in work and life.