Optimizing RNA design with AI and an Ising machine: Encoding matters

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...

AI system translates protein sequences into text, helping reveal functions of unknown proteins

In a paper published in Proceedings of the National Academy of Sciences, researchers from Technion and Tel Aviv University ...
technologynetworks

Single-Cell RNA-Seq Data Analysis With AI: Tools, Workflows, and Biological Interpretation

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...
IEEE

Emo-SL Framework: Emoji Sentiment Lexicon Using Text-Based Features and Machine Learning for Sentiment Analysis

Abstract: Recently, given the rise of types of social media networks, the analysis of sentiment and opinions in textual data has gained significant importance. However, sentiment analysis in informal ...
GitHub

Machine Learning with PyTorch and Scikit-Learn Book

Helpful installation and setup instructions can be found in the README.md file of Chapter 1. In addition, Zbynek Bazanowski contributed this helpful guide explaining how to run the code examples on ...
GitHub

Statistical Machine Intelligence & Learning Engine

SMILE (Statistical Machine Intelligence & Learning Engine) is a comprehensive, high-performance machine learning framework for the JVM. SMILE v5+ requires Java 25; v4 ...
IEEE

Real-Time Text Classification of User-Generated Content on Social Media: Systematic Review

Abstract: The aim of this systematic review is to determine the current state of the art in the real-time classification of user-generated content from social media. Focus is on the identification of ...