Researchers from BIFOLD and Google DeepMind have developed MD-ET, a transformer-based molecular dynamics model that omits traditional physics constraints like energy conservation and equivariance.
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 ...
TL;DR: NVIDIA's DLSS 4, launched with the GeForce RTX 50 Series, enhances image quality and performance with its new transformer-based models. It also introduces Multi Frame Generation, generating up ...
Researchers have proposed a SENet-CNN-Transformer model for predicting electric vehicle charging duration, aiming to improve ...
A new hybrid AI model improves lung cancer detection on CT scans, achieving over 96% accuracy for early tumour identification ...
Online recommendation is moving into a new phase as transformers begin to reshape how graph-based systems understand users, items, and their hidden connections.
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