The Moltbook feed quickly filled with the kinds of things that make your brain reach for bigger words than “chatbot." ...

Penetration testing is undergoing a structural shift. For years, automation meant running scanners faster or scripting repetitive tasks. Today, a new class of tools is emerging, agentic AI systems ...

Engineers leverage both device-specific and tool-level data to identify a process “sweet spot.” Tight, frequent tool-to-tool matching enables greater yield and fab flexibility. Machine learning helps ...

Explore how software-defined manufacturing is revolutionizing the automotive industry with factory operating systems that ...

Autonomous or agentic artificial intelligence will create challenges for public trust in the technology. That is why building ...

Google took the wraps off its latest AI model, Gemini 3.1 Pro, on Thursday, calling it a "step forward in core reasoning." ...

With wildfires growing more destructive both in the United States and around the world, University at Buffalo researchers have conducted one of the most extensive evaluations to date of artificial ...

Tools designed to verify and monitor physical AI systems offer value, but human oversight is needed to prevent accidents and unexpected behavior.

Type 1 diabetes (T1D) is an autoimmune condition in which the body's own immune system attacks insulin-producing cells. As a result, patients with T1D must closely monitor their blood glucose (BG) ...

Spec-driven development doesn’t just change how we work with AI; it fundamentally improves the quality and sustainability of the software we build.

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...