Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests ...

Researchers used 16S rRNA sequencing and machine learning to identify gut microbiome patterns associated with insulin resistance severity in people with type 2 diabetes. XGBoost models showed that ...

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time environmental monitoring while optimizing energy efficiency.

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...

Researchers at the University of Houston and the University of Cincinnati are using machine learning to create a clearer picture of how heroin affects the brain, potentially opening new doors for ...