Machine Learning Machine learning extracts information from data based on supervised and unsupervised learning methods. This includes understanding image content, spoken language, printed language, ...

This Special Collection seeks to explore how artificial intelligence and machine learning can address complex challenges in acoustic signal processing.

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

Alexander Tong GRD ’23, a computer science graduate student, and Smita Krishnaswamy, professor of genetics and computer science, won the award for best paper at the annual 2020 Machine Learning for ...

Unlike the field of computer vision, where machine learning on images has largely been driven by commercial applications, machine learning on RF signals is being pioneered on DoD applications.

Applying machine learning to radar simulations has achieved radar performance improvements, researchers find. Shutterstock/your Military students at Virginia Tech walk through the campus in January ...

His research interests include machine learning in ocean acoustics, sparse Bayesian learning in acoustical signal processing, geoacoustic inversion, and ocean acoustical tomography.