EDN

Designing edge AI for industrial applications

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.
EurekAlert!

Medical LLMs may show real-world potential in identifying individuals with major depressive disorder using WhatsApp voice note recordings

A new medical large language model (LLM) achieved over 91 percent accuracy in identifying female participants diagnosed with major depressive disorder after analyzing a short WhatsApp audio recording ...

Data science roles in the industry

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Analytics Insight

Best AI Skills to Learn for Future Jobs January 2026

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for future careers.Employers are ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Scientific Research Publishing

Razavi, M., Ziyadidegan, S., Jahromi, R., et al. (2023) Machine Learning, Deep Learning and Data Preprocessing Techniques for Detection, Prediction, and Monitoring of Stress ...

ABSTRACT: Mood disorders—particularly bipolar spectrum conditions—pose enduring diagnostic and therapeutic challenges due to their episodic nature, heterogeneous presentations, and reliance on ...
IEEE

A Self-Adaptive Data Preprocessing Pipeline for Machine Learning: An Automated and Dynamic Approach

Abstract: The optimization and generalization of performance of a machine learning model is profoundly influenced by efficient data preprocessing. A machine's learning model does not perform to its ...
Frontiers

A software pipeline for systematizing machine learning of speech data

1 Department of Computing Science, Faculty of Science, University of Alberta, Edmonton, AB, Canada 2 Computer Science Department, Faculty of Geology, University of Oviedo, Oviedo, Spain The ...
Frontiers

Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data

1 School of Law, Shanxi University of Finance and Economics, Taiyuan, China 2 College of Public Management (Law), Xinjiang Agricultural University, Urumqi, China Background: The advancement of ...
C&EN

Historical Data Mining Deep Dive into Machine Learning-Aided 2D Materials Research in Electrochemical Applications

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...