Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical ...

This shouldn't really come as much of a surprise. Google is arguably one of the kings of machine learning (ML) and AI, technologies that it relies on to make sense of all the data it collects through ...

Google Tensor is undoubtedly the most talked-about bit of the new Pixel 6 series. The chip has been marketed as going big on machine learning and supplying all the juice needed for stuff like Google’s ...

Google’s Pixel 6 and Pixel 6 Pro are officially here, and with them, the debut of Google’s new Tensor chip. Google has finally revealed more information on what the new SoC can actually do, for the ...

Google announced its next generation of its custom Tensor Processing Units (TPUs) machine learning chips at Google I/O today. These chips, which are designed specifically to speed up machine learning ...

With TensorFlow, researchers can "try out their crazy ideas" with software that's also being used at Google. That's no longer the case, though, thanks in part to TensorFlow, a new machine-learning ...

Now more platform than toolkit, TensorFlow has made strides in everything from ease of use to distributed training and deployment The importance of machine learning and deep learning is no longer in ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...