ascopubs.org

Transformer-based deep learning model for integrated pathomics and radiomics in predicting postoperative survival of intrahepatic cholangiocarcinoma patients.

Hepatocellular carcinoma patients with portal vein thrombosis treated with robotic radiosurgery for long term outcome and analysis: CTRT:2022/01/050234. This is an ASCO Meeting Abstract from the 2025 ...
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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 ...
The Tech Portal

Meta introduces ‘TRIBE v2’ AI model that predicts human brain activity patterns

Meta has introduced TRIBE v2 (TRImodal Brain Encoder version 2), a next-generation multimodal AI system designed to predict ...
Scientific Research Publishing

KAN-Transformer Fusion with Mixture of Experts for Temporal Imputation of Spatiotemporal Air Pollution Data ()

The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...

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 ...
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, ...
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 ...