Scientists organize millions of proteins by shape, as predicted by AI, revealing 700,000 new families and some shapes unique ...

This article explores limitations of chemical synthesis in high-throughput settings and the technical advantages enzymatic ...

The latest production setback for Elon Musk’s Tesla Optimus humanoid robot has nothing to do with AI bottlenecks or battery ...

C compiler, LustreC, into a generator of both executable code and associated specification. Model-based design tools are ...

Be it Baldur's Gate or Fallout, isometric RPGs represent the role-playing genre at its best. Here are the best isometric RPGs, ranked.

Today, race can feel like a job-market albatross in a way it hasn’t in a generation or two, as diversity initiatives are ...

Explore homomorphic encryption for privacy-preserving analytics in Model Context Protocol (MCP) deployments, addressing post-quantum security challenges. Learn how to secure your AI infrastructure ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.