The course is aimed at helping students develop a deep understanding of machine learning principles & deep neutral network ...

The global chemical industry produces hundreds of long, repeating molecular chains called polymers. Only a handful comprise ...

GXIG’s deep learning model is trained through a four-step process designed to establish an optimal architecture for analysis ...

A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...

In a study published in the Journal of Neuroscience, the scientists say they’ve demonstrated that close friendships create ...

Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...

AI literacy also builds the kind of discernment that keeps projects from going off the rails. Engineers fluent in AI know when a model is the right fit and when it’s a distraction. They can spot ...

Artificial intelligence (AI) can be trained to see details in images that escape the human eye. In 2023, an AI neural network ...

While it has become indispensable for the success of DNNs, BP has several limitations, such as slow convergence, overfitting, high computational requirements, and its black box nature. Recently, ...

Federated learning is a machine learning technique that allows several individuals, dubbed "clients," to collaboratively ...