Japan aims to mass-produce humanoid robots by 2027 as Hitachi deploys AI-powered models and the government backs a domestic robotics strategy.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

Databricks Inc. today announced the general availability of Zerobus Ingest, a new serverless service within its Lakeflow Connect suite that simplifies and accelerates real-time data ingestion into the ...

Building an elastic collision simulator with springs in Python to model realistic physics interactions and dynamic object collisions. Learn how to implement spring forces, momentum conservation, and ...

AI-powered dictation startup Wispr Flow has launched its Android app today. The company released its app for Mac and Windows ...

AI platform Lovable is making software creation conversational, enabling non‑technical founders to build apps and businesses instantly.

AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...

A cardiologist, Michał Nedoszytko, developed an AI medical app, postvisit.ai, in just seven days without traditional coding, ...

Respiratory supercomplex formation relieves molecular strain of mitochondrial membranes and reshapes global protein motions, linking membrane reorganization to respiratory function.