Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

Atomic-scale imperfections in graphene transistors generate unique wireless fingerprints that cannot be copied or predicted, ...

This study leverages advanced genomics and machine learning to refine the understanding of key fruit quality traits in ...

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

Understanding how molecules interact with metal surfaces is fundamental to catalysis and surface chemistry. However, traditional computational methods face a trade-off: achieving high accuracy often ...