One big difference between computation for machine learning and conventional signal processing is that systems such as neural networks are highly tolerant of errors. This has led companies pursuing ...

Qualification Candidates must hold a Ph.D. in Electronics, Computer Engineering, Communications & Signal Processing, Data Science and Machine Learning, Artificial Intelligence, or a closely related ...

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 ...

Course description Our programme bridges computer science, machine learning, linguistics and signal processing, driving transformative technologies such as chat/voice assistants, real-time machine ...

Heart rate is one of the most basic and important indicators of health, providing a snapshot into a person's physical ...

Recent developments in AI chip technology have been highlighted by Firefly Neuroscience's successful deployment of NVIDIA's ...