A University of Michigan AI model diagnoses more than 50 brain disorders from MRI scans in seconds, with up to 97.5 percent accuracy.
DALLAS — When bitter winter comes to Texas, you may be one of many who repeatedly exclaims that you are not built for this kind of weather extreme. Your home may have a similar complaint. Up north, ...
Abstract: Deep convolutional neural networks have gotten a lot of press in the last several years, especially in domains like computer vision and remote sensing (RS). However, achieving superior ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...
The spelling crisis can't be fixed by relying on digital spelling tools. Credit: Ian Moore / Mashable Composite; J Studios / DigitalVision / FatCamera / E+ / Catherine Falls Commercial / Moment / ...
Abstract: Electrical Impedance Tomography (EIT) has emerged as a valuable medical imaging modality, which visualizes the conductivity distribution of a subject by performing multi-electrode impedance ...
Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
We’ve all heard the gospel of sleep hygiene by now. No screens before bed. Keep your bedroom cool and cave-dark. But a recent study out of the University of Chicago, published in the journal Sleep ...
Ages ago, when I first got started in education, I worked at the Wells National Estuarine Research Reserve. One of the many research projects I helped educate others about involved experiments on how ...
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