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 ...

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 ...
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 ...
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 ...
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 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 ...
eTeknix

NVIDIA Transformer Model Brings Advanced DLSS 4 Features to All RTX GPUs

NVIDIA continues to push the boundaries of gaming graphics with its DLSS (Deep Learning Super Sampling) technology, which leverages artificial intelligence to enhance image resolution. Now, with the ...