AI method reveals hidden patterns in microbial communities in the Warnow Estuary

Microbial communities are highly sensitive to environmental changes, yet their enormous diversity makes it difficult to ...
BMJ Quality & Safety

Real-time clinical decision support system for early identification of infection and sepsis in the intensive care unit: a retrospective development and prospective deplo…

Background Sepsis and infection are distinct yet overlapping conditions in the intensive care unit (ICU), posing diagnostic ...
TechnoSports

KDnuggets Weekly Roundup Highlights Autonomous Agents and Core

Explore the KDnuggets Weekly Roundup covering autonomous agent deployment and 7 essential machine learning algorithms that ...
Tech Times on MSN

Math's largest congress ends tomorrow: How logic, physics, and geometry cracked the oldest problems

Fields Medal 2026 winners Hong Wang, Yu Deng, John Pardon, and Jacob Tsimerman each solved problems that had stood open for ...
Tech Times on MSN

Machine learning uncovers four ghost galaxies hidden in Milky Way stellar graveyard

Milky Way ghost galaxy count expands as Istanbul University researchers use a 12-dimensional machine learning pipeline on 1.4 ...

Backtesting Errors That Lead To Live Trading Losses

Discover the most common backtesting mistakes that can turn profitable strategies into live trading losses, and learn how to validate trading systems more effectively.
The New York Times

As Parents Reject Vitamin K Shots, Some Babies Develop Devastating Bleeding

Doctors described treating brain and abdominal hemorrhages in infants who hadn’t received the routine injection. Several said the images of those patients were seared in their minds. By Maggie Astor ...
Frontiers

A graph clustering algorithm with hypergraph learning and a core-attachment strategy for protein complex identification

Protein complexes play a crucial role in cellular biological processes. Identifying these complexes is essential for understanding cellular functions and biological mechanisms. Graph clustering ...
IEEE

A Novel Centrality-Driven Machine Learning Approach for Clustering Critical Nodes in Cyber-Physical Power Systems

Abstract: Modern power distribution systems are increasingly integrated with information and communication technologies (ICT), forming complex cyber–physical power systems (CPPSs). Ensuring the ...