• In ecommerce, to improve the relevance of recommendation engines, retailers can benefit from continuously updating their ML model with real-time data on shoppers’ browsing activity, product and ...

Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across applications as diverse as communications, ...

The exponential growth of data traffic in our digital age poses some real challenges on processing power. And with the advent of machine learning and AI in, for example, self-driving vehicles and ...

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 ...

Machine learning has a wide range of applications in the finance, healthcare, marketing and transportation industries. It is used to analyze and process large amounts of data, make predictions, and ...

You are not alone, IBM and Watson. Natural language processing (NLP) and machine learning (ML) are coming to the shop floor in a variety of ways and places. For example, Sydney-based 1Ansah is using ...