This week’s Top 10 looks at the applications of machine learning in the energy sector, spotlighting those leading the way ...

Machine learning is changing the front end of drug discovery, where researchers decide which targets to pursue and which molecules deserve costly laboratory work. Its deeper test lies further ...

The artificial intelligence revolution has come to North Carolina’s life sciences sector in a big way, as companies from the smallest startups to global drug manufacturers deploy AI across almost all ...

Collaboration aims to tackle one of autonomous vehicle industry’s biggest challenges, namely proving how systems make ...

AVEVA, a global leader in industrial software, today announced a broad set of product innovations spanning its industrial ...

Intelligent testing helps identify: By embedding testing into the system itself, you move from reactive validation to ...

RAG retrieves documents but not decision logic, causing agents to act on expired rules. Decision context graphs encode ...

Read more about AI, zero trust and threat hunting shape next phase of global cybersecurity defense on Devdiscourse ...

The business became more agile and IT became less of a friction point, but the operating model of the enterprise largely ...

That is the significance of Continuous Detection, Continuous Response.

Veeam and its partners outlined nine trends shaping the future of AI resilience, cyber recovery, governance and enterprise trust infrastructure.

AI agents can’t just guess what your data means; they need an "ontology" to act as a shared rulebook so they don't make confident, expensive mistakes.