Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

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 ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

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

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 ...

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

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 ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

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