Machine learning models identify key predictors of driving under the influence of alcohol or cannabis

The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary ...
TMCnet

VIAVI Launches Industry-Leading True-Phase DAS Fiber Sensing Interrogator with AI/ML at the Edge to Enable Real-Time Infrastructure Monitoring

VIAVI Solutions Inc. (VIAVI) (NASDAQ: VIAV) has announced the launch of a new next-generation fiber test head for distributed acoustic sensing (FTH-DAS) to enhance their NITRO™ Fiber Sensing solution.
The Fast Mode

VIAVI Launches FTH-DAS: Next-Gen AI-Enabled Distributed Acoustic Sensing

The FTH-DAS is a true-phase DAS interrogator with embedded AI and machine learning (ML) engine. Designed for the network edge ...

STMicroelectronics accelerates AI-enhanced motor control with machine-learning software pack

Pre-configured to identify normal, high-vibration, and unstable motor conditions STMicroelectronics (NYSE:STM)GENEVA, ...
Devdiscourse

Multi-modal artificial intelligence can improve smart city traffic analytics

Smart city initiatives are generating vast amounts of data from sensors, cameras, mobile devices, and digital service ...
Devdiscourse

AI and machine learning drive digital transformation across global mining operations

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...
IEEE

MultiSenseNet: Multi-Modal Deep Learning for Machine Failure Risk Prediction

Abstract: Predictive maintenance plays a key role in industrial manufacturing by identifying machine failure risks early. This prevents downtime and improves efficiency, contributing towards industry ...
InfoQ

Why Most Machine Learning Projects Fail to Reach Production

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Frontiers

Improved multi-scale divergence entropy combined with extreme learning machine classifier for rotating machinery fault recognition

As the core equipment in industrial production, rotating machinery bearings play a critical role. However, traditional feature extraction algorithms for vibration signals are susceptible to noise ...
Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
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 ...