In the rapidly advancing landscape of Industrial IoT (Internet of Things), cybersecurity has taken on unprecedented importance. The proliferation of connected devices in industrial sectors has ...

Please provide your email address to receive an email when new articles are posted on . The rise of deep learning and artificial intelligence in retinal disease, and all of ophthalmology, is ...

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 ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

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.

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 ...

The deep learning market in drug discovery and diagnostics offers promising opportunities, driven by rising technology adoption, significant investments, and innovative solutions in healthcare. Key ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...