Signal processing ... years machine learning and deep learning has continued this progress using data driven methods which do not require explicit models. This focus area includes courses in theory, ...

machine learning on RF signals is being pioneered on DoD applications. Applications to radio and radar systems were presented, as well as cutting-edge research on novel computation methods for signal ...

As more connected devices demand an increasing amount of bandwidth for tasks like teleworking and cloud computing, it will ...

adaptive and nonlinear signal processing, machine learning, and deep learning. Application areas include speech, audio, image and video processing for computer vision, communications, biological ...

The risks are even more potentially catastrophic for the U.S. Army, which seeks to employ machine learning for tactical applications on the battlefield ... network and information sciences, including ...

The Master of Science in Machine Learning Engineering plan of study requires a total of 45 credits; 12 credits in core courses; 6 credits of mathematical theory, 3 credits in each applications and ...

In recent years, the intersection of artificial intelligence (AI), machine learning ... into acoustic signal processing is poised to revolutionize a wide range of applications, from speech ...