A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

Visual comparisons of different methods for super-resolution. The figure presents the measurements (left), reconstructed results (center), and ground truth (right). PSNR and LPIPS values are annotated ...

Signal processing is a multidisciplinary field concerned with the analysis, transformation, and interpretation of signals—functions that convey information about physical phenomena. At its core, ...

Sophelio, an award-winning applied AI and machine-learning company, has just announced the launch of the Data Fusion Labeler (dFL) , a platform designed to harmonize, label, and prepare complex ...

Trxdynis stated that the Q4 deployment also improves platform stability and scalability, allowing the system to process higher data volumes while maintaining consistent performance. These ...

Non-terrestrial networks have their own challenges that cellular networks didn't have. Will AI help solve them dynamically?

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

Matthew Bird has previously received funding from the Department of Defense. The views expressed in this manuscript are those of the author and do not necessarily reflect the views, opinions, or ...

The Technical Psychoacoustics research group at the Aalto Acoustics Lab, within the Department of Information and Communications Engineering at Aalto University, invites applications for a one-year ...