This review asks whether graphene-based nanosensors could enhance energy efficiency in AI by integrating memory and ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

The pulse of football fans varies markedly depending on where they follow the match. The graphic shows average heart rate during the German cup final in the stadium, at public‑viewing events and in ...

Bioprocess developers have long known that the cell culture suite is where therapeutic proteins earn—or lose—their quality. Subtle shifts in raw materials, cell line genetics, or control ranges can ...

Apple researchers have developed an AI model that dramatically improves extremely dark photos by integrating a diffusion-based image model directly into the camera’s image processing pipeline, ...

The Verida spectral CT system. [Image courtesy of Philips] Philips (NYSE: PHG) + has announced the launch of what it calls the world’s first detector-based spectral CT fully powered by AI. The system, ...

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, public reviews, and a provisional response from the authors. The authors recorded ...

Jr., Roger L. Easton,, et al. "Spectral Imaging Methods Applied to the Syriac-Galen Palimpsest." Manuscript Studies 3. 1 (2018): 69-82. Print. Easton, Roger L., et al ...

1 School of Big Data and Statistics, Guizhou University of Finance and Economics, Guiyang, China 2 Audit Office, Guizhou University of Finance and Economics, Guiyang, China The performance of Dynamic ...

UD's Signal and Image Processing Lab is designed to support graduate and undergraduate research in the areas of signal and image processing. The lab provides office space for graduate students and has ...