Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of ...

Machine Learning,Prediction Accuracy,Advanced Features,AlphaFold,Amino Acid Sequence,Applications In Drug Discovery,Applications In Medicine,Behavioral Factors ...

Swiss researchers use DXA data and machine learning to predict fracture risk in women, with logistic regression delivering ...

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components at any given time, MoEs offer a novel approach to managing the trade-off ...

This repository contains materials for a hands-on training on phishing detection using machine learning and explainable AI. Participants will explore EDA, train multiple models, evaluate their ...

This study addresses these challenges by developing an artificial intelligence-driven computational framework that analyzes ... chi-square tests, multinomial logistic regression, and Bayesian ...

QUBO problem formulation ensures efficiency. A Streamlit app for predicting drug-target binding affinity using a trained CNN model. Input SMILES strings and protein sequences for fast and accurate ...

School of Mechanical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar 752050, India ...