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 ...

The new toolkit integrates with Keysight’s device modeling software to automate parameter extraction and shorten compact-model and PDK development cycles.

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

SANTA CLARA, CA - February 12, 2026 - - Interview Kickstart has launched a new Data Science course designed for working professionals seeking to build practical, production-ready skills in data ...

AI-powered overclocking uses machine learning to boost CPU and GPU performance safely in 2026, delivering higher FPS, better efficiency, and automatic stability.

A new peer-reviewed study published in the journal Algorithms signals a major shift in how humanitarian logistics can be ...