A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...
Sudden cardiac death claims hundreds of thousands of lives annually, often striking without warning in people who had seemed reasonably healthy. Implantable defibrillators can terminate the lethal ...
Abstract: Fire detection technology based on video images can avoid many flaws in conventional methods and detect fires. To achieve this, the support vector machine (SVM) method in machine learning ...
Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
Earth observation relies on diverse imaging systems whose varying spatial, spectral, radiometric, and temporal ...
Even as they adopt AI, companies are measuring employee performance with familiar metrics of success: productivity, goal ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
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Blame the model, not the machine—better data helps 3D-printed metamaterials match predictions
Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an ...
This award funds exceptional science to drive transformational change in how and when early cancers and pre-cancerous states are detected and diagnosed. We strongly encourage that you contact us for ...
A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.
Rui Zhou, Tianci Xie Explaining Machine Learning and Memorization with Statistical Mechanics Robin Theriault Probabilistic Inversion with Flow Matching Baldur Paulwitz, Stefan Buske TabPATE: ...
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