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 ...

Affirm launches transformer-based machine learning model for real-time underwriting

For 14 years, Affirm (NASDAQ: AFRM) has underwritten every purchase individually, in real time, using machine learning models built in-house. That approach is central to what Affirm promises the ...
BIOENGINEER

Adaptive Learning Behavior Recognition Enhanced by Multimodal Transformer With Dynamic Modality Regulation

Researchers have unveiled a new artificial intelligence framework that can recognize how people learn by simultaneously ...

Deep Research Report on TypeSafe AI 'Jev' Model Training Logic and RLCD Algorithm

Current Understanding of TypeSafe AI 'Jev' Architecture and Training MethodologyJev is a 'System 1' deep learning model ...
Analytics Insight

Deep Learning Cheat Sheet for Beginners & Professionals

Overview:  Deep learning uses multi-layer neural networks to learn patterns from data.CNNs, RNNs, LSTMs, transformers, and autoencoders support different t ...