To make accurate predictions and reliably complete desired tasks, most artificial intelligence (AI) systems need to rapidly ...

Researchers from Tsinghua University have developed a groundbreaking optical system for computing that performs feature extraction with unprecedented low latency, which has the potential to ...

Researchers from Google Quantum AI report that their quantum processor, Willow, ran an algorithm for a quantum computer that ...

In Brownsville, Texas, some families found a buzzy new school’s methods—surveillance of kids, software in lieu of teachers—to ...

Google published research showing that, for the first time, a quantum computer can run a verifiable algorithm on hardware.

Discover how quants leverage algorithms for profitable trading, their evolving role, and potential earnings in the dynamic financial industry.

Abstract: The existing ground Cartesian back-projection (GCBP) algorithm is limited by its low effectiveness in spectral compression, which makes it unsuitable for processing high-squint and ...

Abstract: This paper investigates sparse matrix-vector (SpMV) multiplication algorithm performance for unstructured sparse matrices. The development of an SpMV multiplication algorithm for this type ...

This project provides a fast intra partition benchmark for image compression to evaluate the performance of various fast intra partition algorithms in the pre-processing stage of video compression.

The final, formatted version of the article will be published soon. Abstract— Accurate identification of forest tree species is vital for sustainable forest management, biodiversity assessment, and ...