Overview Curated list highlights seven impactful books covering fundamentals, tools, machine learning, visualization, and ...

Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping light effects ...

Explainability tools are commonly used in AI development to provide visibility into how models interpret data. In healthcare machine learning systems, explainability techniques may highlight factors ...

Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability ...

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment ...

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...

New analysis reveals why technology leaders are shifting to hybrid workforce models, blending full-time teams with ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

Correlation can look convincing in dashboards. Without causal analysis, organizations risk optimizing for the wrong signals.

Dozens of Telegram channels reviewed by WIRED include job listings for “AI face models.” The (mostly) women who land these ...