Foundational machine learning models are typically large — trained using unlabeled data at scale, to further be adapted to a wide spectrum of specific tasks. But, given their depth, these models also ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

One of the best ways to reduce your vulnerability to data theft or privacy invasions when using large language model artificial intelligence or machine learning, is to run the model locally. Depending ...

A research team has developed an optical computing system for AI and machine learning that not only mitigates the noise inherent to optical computing but actually uses some of it as input to help ...

The new Tensorbook may look like a gaming laptop, but it’s actually a notebook that’s designed to supercharge machine learning work. The laptop’s similarity to popular gaming systems doesn’t go ...

Soft sensors, also known as virtual sensors, are software that can process hundreds of measurements in combination. Plant managers who want to add soft sensors may be overwhelmed by the scope of ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

Amazon Web Services Inc. will play a central role in advancing quantum computing after announcing today that it has joined the steering council of the open-source PennyLane project. PennyLane is a ...

It isn’t only CEC that benefits from the high performance computing Talon GPU cluster headed to Miami thanks to a recently awarded U.S. National Science Foundation (NSF) grant. Nevertheless, CEC ...