A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.
David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...
The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
AI is already shaping the litigation process. And while it can benefit that process, it also introduces new risks. In the latest ...
In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...
The Vector Institute today launched UnBias-Plus , a free, open-source AI tool built by Vector's AI Safety research scientists that helps detect, explain, and rewrite biased language in written content ...
A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
An innovative partnership has yielded powerful new tools to help federal agencies rapidly synthesize complex data, historical ...
Alphabet has squashed concerns that artificial intelligence will destroy its Google tech empire. One of its biggest weapons ...
Companies collaborate on innovative approach to Machine Learning-based perception and functional safety with Aptiv PULSE ...
Given the complexity of military AI innovations, many nations will face considerable hurdles in adopting them.
Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...
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