Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

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

More than 20 faculty members and several students from across academic disciplines attended a two-day training workshop on June 4–5 to learn how AI machine-learning skills can assist with their ...

There's no shortage of valuable equipment and machines in the gym, but once you settle into a familiar routine, you'll likely find yourself less likely to try out other machines. But switching up your ...

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

Scientists have demonstrated a powerful new way to search for one of physics' biggest prizes: practical superconductors.

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Reproductive physiologist Cara Wells says today up to 20% of transferred embryos have virtually zero chance of making a pregnancy and explains how video, AI and better selection can turn those losses ...

Wildfires are becoming more frequent and more intense worldwide. Fires often become infernos because of heat, drought and wind, especially in the summer. The problem is compounded by the climate ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.