In system design, assumptions that facilitate the usual process can lead to highly unsatisfactory performance “off piste”.

Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

SentinelOne details Gaslight, a Rust-based macOS implant linked to North Korea-aligned actors that uses prompt injection to ...

Microsoft has launched a four-part developer series explaining how to build a CLI-style AI agent that can plan tasks, use tools, retain information, and ...

Microsoft Threat Intelligence analyzed a cryptocurrency clipper campaign that combines clipboard theft, wallet replacement, ...

Robot skill library ASPIRE — released June 29 by NVIDIA and collaborators — gives robots persistent memory by storing every debugging fix as a named, reusable code pattern. It pushed bimanual handover ...

New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...

After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...

On June 24, 2026, Microsoft’s Digital Crimes Unit (DCU) facilitated the takedown, suspension, and blocking of domains that ...

Companies are still experimenting with automated AI systems to find security weaknesses, but fewer are relying on the ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

VentureBeat surveyed 132 enterprise AI leaders: the production failure point isn't the model — it's the runtime layer most teams are patching with retries instead of fixing.