As more connected devices demand an increasing amount of bandwidth for tasks like teleworking and cloud computing, it will become extremely challenging to manage the finite amount of wireless spectrum ...

By enabling deep learning to run at the speed of light, this chip could allow edge devices to perform real-time data analysis ...

Deep learning-based processing and reconstruction of compromised biophotonic image data ... (PSF), signal-to-noise ratio (SNR), sampling density, and pixel resolution in biophotonic image data.

The optical AI chip reads wireless signals fast, using light and simple steps. It works fast, saves energy, and helps in real ...

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

Deep learning models are typically powered with graphics processing units (GPUs), specialized chips, and other infrastructure components that can be quite expensive, especially at the scale that ...

When it comes to producing video, signal processing is central to the task. Simply stated, modern day signal processing encompasses the multitude of signal manipulations and modifications required to ...

Course Type: Elective Specialization: Natural Language Processing: Deep Learning Meets Linguistics Instructors: Dr. Katharina von der Wense Prior knowledge needed: Students should consider their ...