Nanowerk

Stacked memristor arrays compute Euclidean distance in memory to accelerate self-organizing maps

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
Quanta Magazine

The Game Theory of How Algorithms Can Drive Up Prices

Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price. Unhappy with their meager profits, they meet one night in a ...
CNN

TikTok’s algorithm will be overseen by Oracle in the US after the sale is completed

The White House has answered what had been one of the major outstanding questions regarding its pending deal to transfer TikTok’s US operations to a majority American ownership group: Under the ...
IEEE

SSDCL: Semi-Supervised Denoising-Aware Contrastive Learning for Time Series Anomaly Detection in Cyber-Physical Systems

Abstract: Time series anomaly detection is crucial for improving the security and reliability of Cyber-Physical systems (CPS). While significant progress has been made, existing methods struggle to ...
News Medical

Machine learning identifies key lifestyle factors for healthy brain function

A new study offers insight into the health and lifestyle indicators - including diet, physical activity and weight - that align most closely with healthy brain function across the lifespan. The study ...
C&EN

Supervised Learning Algorithm Reveals the Mechanistic Role of Extracellular Polymeric Substances in Biofouling of an Anaerobic Electrochemical Membrane Bioreactor

State Key Laboratory of Water Pollution Control and Green Resource Recycling, Key Laboratory of Yangtze River Water Environment of Ministry of Education, Shanghai Institute of Pollution Control and ...
Frontiers

Deep learning-based automated tongue analysis system for assisted Chinese medicine diagnosis

This study proposes an automated tongue analysis system that combines deep learning with traditional Chinese medicine to enhance the accuracy and objectivity of tongue diagnosis. The system includes a ...
BMJ

Development of an interpretable machine learning model for frailty risk prediction in older adult care institutions: a mixed-methods, cross-sectional study in China

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...