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

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

Building a PC for AI or machine learning is very different from making your own gaming machine. Here are some top tips so you won't go wrong.

In the sixty years since Arthur Samuel first published his seminal machine learning work, artificial intelligence has advanced from being not as smart as a flatworm to having less common sense ...

Harnessing noise in optical computing for AI Date: January 21, 2022 Source: University of Washington Summary: A research team has developed an optical computing system for AI and machine learning ...

Razer teams up with Lambda to create a sleek laptop for machine learning work that is powerful enough for gaming.

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 ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing.