Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Pratyosh Desaraju secures German utility patents for AI systems that automate legacy system enhancement and detect ...
With the development of brain-computer interface (BCI) technology, the application of electroencephalography (EEG) signals in motion decoding has been ...
AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...
For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...
Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...
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 ...
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Can Wearable Technology Help Protect Workers from Injury?
Wearable technology could transform injury detection in workplaces, but researchers highlight the current limits of ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
Spin-out Merge Labs aims to rival Elon Musk’s brain-chip company Neuralink. But researchers say the technology is still at an ...
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