EurekAlert!

Frontier AI in computational civil engineering: a review of graph, sequence, physics-informed deep learning, and beyond (2020–2025)

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...
Tech Xplore

Hybrid AI model combines graphs and transformers for real-time traffic forecasts

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in ...
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 ...

What is a transformer in artificial intelligence, and why is it the base of most modern AI models?

Transformer in Artificial Intelligence powers over 90% of modern AI models today. Introduced by researchers at Google in 2017 ...

What Transformers Mean For The Future Of Predictive Analytics

The transformer-based model is being developed to help organizations—most notably in the finance industry—dig deeper into ...
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 ...
GEN

Deep Learning Model Developed to Help Predict Functional Impact of Regulatory Mutations

A research team co-led by scientists at the Netherlands Cancer Institute (NKI) and Oncode Institute has developed a deep learning model, PARM (promoter activity regulatory model) that offers up new ...