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An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation.
Chinese researchers have proposed a novel hybrid deep-learning model to address streamflow forecasting for water catchment areas at a global scale, with a view to improving flood prediction ...
A "deep learning" artificial intelligence model developed at Washington State University can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often ...
A “deep-learning” dental AI assistant developed by Ateneo researchers is seen to improve the detection of odontogenic sinusitis.
Researchers at the University of Toronto have developed a deep-learning model, called PepFlow, that can predict all possible shapes of peptides – chains of amino acids that are shorter than ...
The deep learning model effectively eliminated the dependence on a large amount of charging test data and provided a new idea for predicting battery life in real-time.
Now, a team of researchers has developed a novel Internet-of-Things-enabled deep learning-based end-to-end 3D object detection system with improved detection capabilities even under unfavorable ...
U of T researchers have developed a deep learning algorithm that can track proteins to help reveal what makes cells healthy and what goes wrong in disease. From self-driving cars to computers that can ...
A biopharma company specializing in difficult-to-produce biologics has developed a deep learning model to rapidly predict protein expression using their moss-based production process. The model ...