Master AI coding assistants for Python success AI coding assistants are transforming how Python developers work, from debugging and refactoring to automating data analysis pipelines. The right tools, ...

Integrated analytics and AI-driven automation help enterprises prepare, govern and activate data for trusted AI at scale ...

By integrating long-term memory, embeddings, and re-ranking, the company aims to improve trust in agent outputs.

Claude AI guided a threat actor toward OT ICS SCADA systems in an attack on a water and drainage utility in Mexico.

Overview:  Ahmedabad is rapidly emerging as a cost-effective hub for AI startups, backed by strong government support and ...

India's startup ecosystem in 2026 reflects a powerful shift beyond conventional tech-led narratives, showcasing a diverse wave of ventures redefining industries through innovation, scalability, and ...

As AI takes on the heavy lifting, developers must master the ability to prompt models, evaluate model output, and above all, ...

When most people hear “observability,” they think of on-call rotations, alerts and dashboards for SREs. That narrow view is ...

Candidates can fake skills, but not judgment — yet most companies still test the wrong thing and wonder why talent fails.

Wes Reisz discusses the shift toward AI-first software delivery, emphasizing that agentic workflows are not one-size-fits-all ...

Here, we report that glycolysis controls astrocyte-synapse contact. In the Drosophila larval dopaminergic (DAergic) circuit, blocking astrocyte glycolysis stimulated perisynaptic ensheathment by ...

Dive into The Register's online archive of incisive tech news reporting, features, and analysis dating back to 1998 ...