A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...
Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...
The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...
FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...
Experts are increasingly turning to machine learning to predict antibiotic resistance. The results should be treated with ...
Despite its long history, optical character recognition (OCR) hasn’t evolved significantly since its inception.
While sensing technologies have advanced rapidly, the study identifies data fragmentation as one of the most persistent ...
From personal style struggles to building a human-first AI platform, Stylz Founder and CEO Sai Kiran Vemuri speaks about ...
Weed control is essential in apple orchards because weeds compete with trees for nutrients, water and sunlight, which can ...
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