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.

Engineer to combine math, machine learning and signal processing to lay groundwork for high-resolution microscope by Beth Miller, Washington University in St. Louis ...

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 ...

All earthly and celestial things emit signals. The science of signal processing, born in the 19th Century and now greatly advanced thanks to computers, allows us to better understand them.

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 ...