The exchange between LeCun and Hassabis underscores broader differences in how the pair view the path to achieving artificial ...

3. Timeliness and currency: Outdated information undermines AI performance. In fast-changing fields, models that rely on ...

AI projects are not for the faint-hearted – they need to be properly resourced with the different skills required: data ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

In 2026, owning a domain won’t just be about staking a claim on the web. It will mean establishing trust, flexibility, and ...

New research suggests that the way brain networks reorganize moment-to-moment predicts autism severity. Children who spent ...

New findings highlight the need to systematically check for bias in pathology AI to ensure equitable care for patients.

The history of AI shows how setting evaluation standards fueled progress. But today's LLMs are asked to do tasks without ...

Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...

Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can ...

Research reveals why AI systems can't become conscious—and what radically different computing substrates would be needed to ...

A new theoretical framework argues that the long-standing split between computational functionalism and biological naturalism misses how real brains actually compute.