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

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

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 ...

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

Investments in automation and additional tools for data analytics keep coming to packaging lines as plants become more connected. Machine learning and digital twin technology are increasing throughput ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

NTN applies AI and machine learning to accelerate bearing design, cut analysis time and reduce engineering workload.

A data science course is meant to equip learners with a higher level of positions that are founded on the analysis of data, statistics, and machine learning aimed at addressing intricate problems. The ...

SANTA CLARA, CA - February 05, 2026 - - Interview Kickstart today announced the launch of its Advanced Machine Learning Program, a specialized interview preparation track designed for engineers and ...