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

Signal processing is a multidisciplinary field concerned with the analysis, transformation, and interpretation of signals—functions that convey information about physical phenomena. At its core, ...

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 ...

Forbes contributors publish independent expert analyses and insights. Making wealth creation easy, accessible and transparent. Natural language processing (NLP) is a subset of artificial intelligence ...

Natural language processing (NLP) is important because it enables machines to understand, interpret and generate human language, which is the primary means of communication between people. By using ...