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Transformers in deep learning: Beginner’s guide explained

We dive into Transformers in Deep Learning, a revolutionary architecture that powers today's cutting-edge models like GPT and BERT. We’ll break down the core concepts behind attention mechanisms, self ...
EurekAlert!

A pretrained transformer model for decoding individual glucose dynamics from continuous glucose monitoring data

CGMformer is first self-supervised pretrained on CGM data to gain fundamental knowledge of the glucose dynamics, and then applied to a multitude of downstream clinical applications. The extractable ...
EurekAlert!

Research Article | A transformer-based multi-feature fusion method for detecting traffic events using Twitter data

A new study published in Big Earth Data demonstrates that integrating Twitter data with deep learning techniques can ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

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 ...
Frontiers

Deep Learning for Medical Imaging Applications

Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...
AZoLifeSciences on MSN

Deep learning–based codon optimization framework boosts protein expression in E coli

By combining Transformer-based sequence modeling with a novel conditional probability strategy, the approach overcomes long-standing trade-offs between maximizing expression metrics and maintaining ...