Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular biomarkers, including those from OCT angiography, according to data ...
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 specific approach to reach the same goal.
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 ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.
Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude ...
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 ...
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