Today, in the field of malware detection, the expanding limitations of traditional detection methods and the increasing accuracy of detection methods designed on the basis of artificial intelligence ...

Learning a comprehensive representation from multiview data is crucial in many real-world applications. Multiview representation learning (MRL) based on nonnegative matrix factorization (NMF) has been ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Decoder guest host Jon Fortt and Cassie Kozyrkov, Google’s former chief decision scientist, on the role AI will play in ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the long wait times many families face when seeking evaluations for autism and ...

The US Food and Drug Administration (FDA) has granted 510 (k) clearance for Philips’ SmartSpeed Precise deep learning ...