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 ...

A "deep learning" artificial intelligence model developed at Washington State University can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often more ...

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...

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

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 ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

One of the most puzzling aspects of common chronic inflammatory skin diseases such as psoriasis is how they become chronic.

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

Impact of treatment patterns on clinical outcomes in patients of advanced pancreatic cancer treated with chemotherapy: A large-scale data analysis from real world practice. This is an ASCO Meeting ...

In a significant breakthrough, researchers have developed an advanced explainable deep learning model to predict and analyze harmful algal blooms (HABs) in freshwater lakes and reservoirs across China ...

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