Technology Networks

AI and Machine Learning in High-Throughput Screening

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...
TMCnet

Kumo Launches KumoRFM-2, the First Foundation Model to Outperform Machine Learning on Enterprise Data, Scaling to 500 Billion Rows

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...
Devdiscourse

AI exposes invisible microplastics polluting the world’s oceans

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

In bone imaging, machine learning accelerates research progress and uncovers hidden patterns

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
IEEE

A Robust Multi-Class Obesity Classification and Risk Analysis System by Leveraging the Potentiality of Machine Learning Techniques

Abstract: Obesity, a significant global health issue, is linked to numerous multifactorial inherited conditions, including cardiovascular disease, hypertension, diabetes, and various other serious ...
IEEE

Multi Layer Jamming Detection and Classification in 6G-Enabled Satellite-Air-Ground Integrated Networks Using Machine Learning

Abstract: Future 6G networks aim to ensure ultra-reliable, high-throughput communication not only in dense urban environments but also across remote, rural, and disaster-prone regions. To support such ...
techxplore

Researchers use machine learning and social network theory to identify formation patterns in digital forums

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people connect with each other—to better understand how people interact online.
Stevens Institute of Technology

In a Breakthrough for Identifying Emerging Online Communities, Stevens Researchers Use Machine Learning and Social Network Theory to Identify Formation Patterns in Digital Forums

HOBOKEN, NJ., March 26, 2026 — Researchers at Stevens Institute of Technology used machine learning tools and social network theory — the study of how people connect with each other—to better ...