Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

A new study in PNAS introduces a mathematical model that quantifies how different systems, from cells to organizations, ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to solve complex problems more reliably, particularly those that require ...

If your prompts influence policy, finance or patient care but live in chat threads, you don’t have innovation — you have unmanaged risk.

A marriage of formal methods and LLMs seeks to harness the strengths of both.

A mathematical trick speeds up seismic calculations for earthquake simulations and could revolutionize earthquake preparedness.

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

This integration addresses the fundamental barriers that have historically limited formal verification adoption: complexity ...

When a cell divides, it performs a feat of microscopic choreography—duplicating its DNA and depositing it into two new cells.

Quantum physics may sound abstract, but PhD candidates Kirsten Kanneworff and David Dechant show that quantum research can ...

Learn how Zero-Knowledge Proofs (ZKP) provide verifiable tool execution for Model Context Protocol (MCP) in a post-quantum world. Secure your AI infrastructure today.