Utrecht University researchers Rodolfo Subert and Marjolein Dijkstra show in their latest study that complex ...
Two-dimensional (2D) materials, in general, allow the realization of unique quantum phenomena unattainable in the common ...
WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
The newly proposed state laws, however, take a different approach. The measures in Washington and New York would require 3D ...
The renewed enthusiasm for clamping down on 3D printing technology follows allegations that Luigi Mangione killed ...
Abstract: The generation of traditional ophthalmic ultrasound examination reports primarily relies on clinicians manually entering information during procedures. This process is not only inefficient ...
Abstract: Recently, transformers have garnered significant attention due to their exceptional capability to capture long-range dependencies in data. A critical factor contributing to their superior ...
AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...
Lotfy, A. (2026) A Digital Accounting Framework for Enhancing Solvency and Financial Evaluation in Non-Bank Financial ...
Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...
A novel F-actin-binding motif consisting of an α-helix hairpin from a Legionella pneumophila lysine fatty acyltransferase has the potential to be developed as an F-actin probe.
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...