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 ...

Signal Processing and Machine Learning. Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, ... In the past ten years machine learning and ...

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

This field has recently expanded significantly due to advances in computer technology, the need to process large datasets, and the application of deep learning algorithms for image processing. MTU's ...

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 ...

For a review of recent deep-learning-based models and methods for NLP, I can recommend this article by an AI educator who calls himself Elvis. Natural language processing services ...