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 ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

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, ...

• 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 ...

CATALOG DESCRIPTION: discrete-time random process, second-order statistics, autoregressive and moving average processes, linear prediction, Wiener filter, stochastic gradient (Least Mean Square) ...

The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...

Despite the ongoing digital transformation, many organizations today still spend quite a bit of time manually processing information from countless documents. Because of the nature of digital files ...

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 ...