Perplexity CEO Aravind Srinivas introduced a groundbreaking “search as codegen” system, enabling AI agents to execute complex tasks through Python-based workflows.

Perplexity CEO Aravind Srinivas has announced a new search architecture for the company's AI agents, describing it as a shift from traditional web-fetching methods to what he calls “search as codegen.

Cybersecurity researchers create a five-step exploit chain using over-permissioned roles, secrets discovery, and NHIs to attack a popular low-code service.

VentureBeat surveyed 132 enterprise AI leaders: the production failure point isn't the model — it's the runtime layer most ...

A tiny Python script triggered a major Linux failure in a way that few users would expect. The incident shows how even small pieces of code can expose deep problems inside complex systems. For ...

Traditional job scheduling relied heavily on time-based execution, with cron jobs and hourly synchronisation being common in ...

Supply chain data has been optimized for human consumption, with dashboards built for planners and reports built for ...

AI-powered tools can help teams accelerate processes throughout the software development life cycle. Here’s how to make them ...

Microsoft’s new Surface RTX Spark Dev Box packs Nvidia Blackwell AI power and 128GB of unified memory to run large AI models ...

Build 2026 runs from June 2-3 in San Francisco. Here's what Microsoft is expected to announce for GitHub Copilot, Azure AI ...

NVIDIA announced that its new Vera CPU, the first processor specifically optimized for autonomous AI agents, has entered full production for an autumn release. Built on a custom 88-core Arm ...

Microsoft unveiled a series of major AI-focused announcements at its Build 2026 developer conference, including the new ...