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This Special Collection seeks to explore how artificial intelligence and machine learning can address complex challenges in acoustic signal processing.
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 ...
Acoustic-based measurements have been done for many years, but Badiey, Wan and their team are trying to advance and modernize the field by developing advanced signal processing such as machine ...
The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...
For the ARL—and the industry—adversarial machine learning is not necessarily a new research area, Swami continues. But what is new is the push to get to the heart of machine learning’s processing, ...
Recent developments in AI chip technology have been highlighted by Firefly Neuroscience's successful deployment of NVIDIA's ...
He has an in-depth knowledge of digital signal processing, machine learning, and pattern recognition algorithms and has authored several journal and conference papers with the focus on pattern ...
Unlocks exciting new AI-driven brain biomarker discovery and advancement capabilities –– Substantial processing speed gains while maintaining ...
As a computational neuroscientist and experienced technical lead, he brings comprehensive knowledge across biomedical signal processing, machine learning, and clinical validation protocols.
The Vietnamese-German University (VGU) is seeking a highly qualified full-time lecturer in Signal Processing & Machine Learning. Candidates must hold a Ph.D. in this field or a closely related field ...
The Information Processing and Machine Learning Laboratory supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...
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