In the clamor of a crowded café or the din of a busy street, your brain performs a quiet miracle—tuning into one voice while ...

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

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 ...

Article citations More>> Shevitski, B., Watkins, Y., Man, N. and Girard, M. (2023) Digital Signal Processing Using Deep Neural Networks: Evaluating the Effectiveness of Hybrid Autoencoder/ Transformer ...

Figure: Schematic illustrating the concept of neural network-based image processing and reconstruction of compromised photonic data in terms of resolution, sampling density, and SNR. Deep learning ...

Deep-transfer-learning–based NLP models were retrospectively trained and tested with serial, free-text CT reports, and survival information of consecutive patients diagnosed with pancreatic cancer in ...

This Research Topic is dedicated to the deep learning technology of high-dimensional IoT and signal processing. Its purpose is to emphasize the new research results and development, open problems, and ...