Amid the shift towards more complex chips at advanced nodes, many chipmakers are exploring or turning to advanced forms of machine learning to help solve some big challenges in IC production. A subset ...

How to build a simple machine learning pipeline that allows you to stream and classify simultaneously, while also supporting SQL queries TensorFlow has emerged as one of the leading machine learning ...

Google has developed its second-generation tensor processor—four 45-teraflops chips packed onto a 180 TFLOPS tensor processor unit (TPU) module, to be used for machine learning and artificial ...

Sam Mugel, Ph.D., is the CTO of Multiverse Computing, a global leader in developing value-driven quantum solutions for businesses. Quantum mechanics, which is the study of the behavior of sub-atomic ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

When you stop to think about it, the future can be a little daunting. It’s filled with AI, automation, 3D printing, virtual reality, IoT, and other concepts that until now seemed like science fiction.

Machine learning is powering most of the recent advancements in AI, including computer vision, natural language processing, predictive analytics, autonomous systems, and a wide range of applications.