By combining artificial intelligence and sensors that can see beyond visible light, Arkansas researchers have developed a ...

Machine learning (ML) for personalised care, large language models for empathy training of cardiologists, wearable sensor ...

Start your AI journey with predictive maintenance and quality control applications, which offer the fastest returns and ...

Through industry–academia collaboration, a joint research team developed an Integrated Network-Computing Load Balancing ...

This study presents a machine learning method for monitoring laser temperatures using spectral data, offering a non-invasive alternative to traditional sensors.

A new study offers insight into the health and lifestyle indicators—including diet, physical activity and weight—that align ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

A new era of digital innovation for automakers has arrived. With the rise of Software Defined Vehicles (SDVs), automobiles ...

Objective:This study aimed to investigate the feasibility of developing machine learning models for non-invasive prediction of Helicobacter pylori(H pylori) infection using routinely collected adult ...

EarthExploreExplore Earth HomeAir QualityClimate ChangeFreshwaterLife on EarthSevere StormsSnow and IceThe Global Ocean ...

Targeted design for test, better fault models, and in-system testing must keep pace with advanced-node components.

Ansys and Honeywell are harnessing the power of digital twins to transform manufacturing and EV battery optimization, using ...