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 ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...

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 ...

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 ...

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.

The way GenAI surfaces sources for literature reviews risks exacerbating the citation Matthew effect, writes David Joyner.

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks ...