When and where the next large earthquake will strike remains one of the most difficult questions in geoscience. Researchers from the GFZ Helmholtz Center for Geosciences led by Dr. Sadegh Karimpouli ...
Drought Pattern Recognition Using Convolutional Neural Networks and Historical Climate Data Insights
Abstract: Drought is a complex natural hazard that significantly impacts agriculture, water resources, and socioeconomic systems. Precise identification and classification of drought patterns are ...
The C-MoRe smartphone app tracks hand movements as a patient recovering from a stroke performs the "box and blocks" task used to assess recovery. C-MoRe, developed by two UC Davis computer science ...
The grocery store chain Wegmans, among other retailers, is using face recognition on its customers — and scanning their faces for resemblance not only to accused shoplifters but also to people whose ...
When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing. Dust and rock collected from the asteroid Bennu ...
AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
Abstract: Respiratory patterns are important indicators of human health, and using AI models to analyze channel state information (CSI) for non-contact respiratory detection shows great potential.
ABSTRACT: The context of inclusive education for blind people lacks suitable learning materials and traditional devices are difficult to expand, creating a need for a personalized technological ...
Editor's Note: This story has been edited to reflect Hippocratic AI's valuation of $3.5 billion following its series C funding round. Hippocratic AI has seen rapid growth over the past 18 months, ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
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