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 ...

New ML-based method predicts lithium salt performance, accelerating the development of safer, high-efficiency lithium metal ...

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 ...

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 ...