Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

Industrial automation is moving beyond rigid rule-based control systems toward environments where machines can interpret ...

Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...

Weather forecasts could soon pinpoint individual clouds and tornadoes using AI. A new study reveals how merging artificial intelligence with satellite data may overcome decades-old computing limits, ...

Classifying ancient pottery has always depended on the trained judgment of an archaeologist. Identifying the subtle ...

A deep learning model trained on more than 14,000 Pakistani news articles can spot misinformation with 96% accuracy, ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

Of 372 patients studied, 79.3% and 20.7% were in the completion group and the non-completion group, respectively. The final BERT model achieved average F1 scores of 0.91 and 0.98 for time to ...

AI analysis of 500 stroke survivors reveals that the brain compensates for severe injury by "rejuvenating" undamaged regions.

The deep learning model developed by researchers at the University of Pennsylvania identified severe heart dysfunction far ...