The past year marked a turning point in the global conversation about AI. While 2025 will be remembered by many as the year generative AI slipped into everyday life through chatbots and productivity ...
This repository contains a comprehensive machine learning project that systematically evaluates 8 different algorithms for predicting mitochondrial membrane potential (MMP) toxicity using the Tox21 ...
No, we don't have a crystal ball — but we do have nine out-there country predictions for what's going to happen in country music in 2026. In this list, we named some artists who we think will release ...
Abstract: Employee turnover poses a significant threat to organizations, impacting stability and expense. This paper introduces a machine learning model that forecasts whether an employee will quit ...
Prediction markets are quickly shifting from a niche sideline to an emerging asset class, with monthly volumes around $10 billion, said U.S. bank Citizens. Though tiny next to the more than $10 ...
TreVeyon Henderson has big-game potential against a Bills' defense that allows 4.99 yards per carry and the fifth-most fantasy points to RBs. Maddie Meyer / Getty Images Though they’re ultimately two ...
Having swallowed sports media, will gambling now devour other kinds of news? Last week, CNN announced a deal with Kalshi, a federally regulated online exchange where Americans can wager on current ...
This repository contains a modular, reproducible pipeline for predicting cell cycle phases (G1, S, G2M) from single-cell RNA-seq data using deep learning and traditional machine learning models.
Introduction: Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as ...
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