IEEE

A Comprehensive Survey of Knowledge-Driven Deep Learning for Intelligent Wireless Network Optimization in 6G

Abstract: The sixth generation (6G) wireless networks are envisioned to feature wide-area coverage, diversified full-scenario services, massive connections and dynamic heterogeneity, resulting in ...

Deep learning model predicts how individual cells influence disease outcomes

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...
UC San Diego Today

A UC San Diego Tool Teaching Code to 25 Million is Even More Critical in Age of AI

UC San Diego cognitive scientist Philip Guo created Python Tutor, a free tool that makes code “visible” step by step. The research behind it earned a Test of Time award, recog ...
IEEE

Deep Learning-Based Framework for Accurate Protein Tertiary Structure Prediction Using Sequence and Evolutionary Feature

Abstract: This study explores the application of deep learning models to precise protein tertiary structure prediction with emphasis on four cutting-edge models: AlphaFold2, RoseTTAFold, ...