A key challenge lies in balancing patient privacy with the opportunity to improve future outcomes when training artificial intelligence (AI) models for applications such as medical diagnosis and ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
The applied mathematician and Ramsey Theory Group founder launches a mission to reshape how organizations understand and trust AI.
As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.
Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been ...
With its "Flightpath 2050" strategy, the European Commission has outlined a framework for the aviation industry that aims to ...
Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...
Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...
A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures.
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