Machine learning is even less predictable than other software development, and the training phase can take longer than you expect, because training is part of developing the system not part of ...

Machine learning’s impact on technology is significant, but it’s crucial to acknowledge the common issues of insufficient training and testing data.

In machine learning, FPGA and eFPGA players are lining up for a piece of the inferencing market. All told, Linley estimates there will be 1.7 billion machine-learning client devices by 2022. “GPUs ...

Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.

“These materials are complex, having multiple distinct phases like superconducting and magnetic phases.” Creating materials with desired traits, such as superconductivity, involves understanding the ...