A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

For much of the digital age, technological progress has been measured by what people could see. Companies proudly showcased ...

It’s fun to have a hobby. But it’s even cooler when it directly gives you the ability to significantly improve the quality of ...

By siding with the chemical industry over farmers, Justices and Trump’s DOJ may provoke a backlash.

Collaboration will support ORECA’s high-performance motorsport vehicle development programs, including its Le Mans 24 Hours hypercar program with Ford Motor Co..

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...

Investigators assessed whether machine learning models provide accurate, individualized risk predictions for major 30-day postoperative complications following glossectomy.

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.