For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...

Understanding the differences between probabilistic and deterministric AI will help manufacturers make more informed choices and achieve measurable results.

Editorial Note: Forbes Advisor may earn a commission on sales made from partner links on this page, but that doesn't affect our editors' opinions or evaluations. There is a lot of buzz around ...

The model could uncover quakes that would previously have been dismissed as human-generated vibrations. Cities are loud places. Traffic, trains, and machinery generate a lot of noise. While it’s a ...

Discover the role of optimizers in deep learning! Learn how algorithms like SGD, Adam, and RMSprop help neural networks train ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.

Bentham Science announces the publication of a new book, "Deep Learning for Healthcare Services," which represents a transformative leap in the integration of deep learning technologies within the ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...

New study presented at HRX Live 2025 demonstrates continued advancement of company’s AI program HeartBeam's AI algorithm performed equally well on HeartBeam 3D ECG system and standard 12L ECGs in ...