Tech Xplore

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Justdial on MSN

Understanding the types of machine learning and their power in AI

Explore the Types of Machine Learning and their impact on AI. Learn how these core frameworks drive digital innovation and ...

What this AI epitope library means for vaccines, immunotherapy and biosensors

A new tool makes it possible to screen millions of tiny protein fragments and select those that can be recognized by the ...

AI-Mediated Discovery Reveals the Need for Structural Medical Classification

AI systems CLEVELAND, April 7, 2026 /PRNewswire/ -- Medistry LLC reports that early adopters of the premium .med top--level domain are helping define how AI systems classify medical organizations in ...
TMCnet

Advita Ortho Showcases New AI-Driven Research Advancing Personalized Joint Replacement

GAINESVILLE, Fla., April 6, 2026 /PRNewswire/ -- Advita Ortho, a global medical technology leader, presented 16 new research ...

What Is A Quantum Computing Company?

WisdomTree Quantum Computing Fund is designed to track the total return performance of, before fees and expenses, WisdomTree ...
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.
Frontiers

Disease classification via interpretable machine learning based on multi-center routine coagulation test

This study aims to establish an interpretable disease classification model via machine learning and identify key features related to the disease to assist clinical disease diagnosis based on a ...
The Lancet

When to and when not to use machine learning in risk prediction models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
IEEE

Representation Learning for Tabular Data: A Comprehensive Survey

Abstract: Tabular data, structured as rows and columns, is among the most prevalent data types in machine learning classification and regression applications. Models for learning from tabular data ...