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 ...
AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall accuracy across long time series. This design inherently favors common, low ...
Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...
Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
Pratyosh Desaraju secures German utility patents for AI systems that automate legacy system enhancement and detect ...
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Forensic system cuts IoT attack analysis time by three-quarters
A new forensic framework designed specifically for the Internet of Things (IoT) is discussed in the International Journal of Electronic Security and Digital Forensics. This deep learning-driven system ...
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