Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...
Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...
With the development of brain-computer interface (BCI) technology, the application of electroencephalography (EEG) signals in motion decoding has been ...
DeepMind COO Lila Ibrahim discusses building powerful AI with care, ethics and a long-term focus on human impact.
Abstract: Effective inventory management is essential for optimizing supply chains, balancing stock levels, minimizing holding costs, and preventing stockouts. Traditional forecasting and rule-based ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
Abstract: The exponential expansion of the Internet of Things (IoT) has precipitated a concerning increase in advanced cyber-attacks, posing significant problems for the protection of these networked ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
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