As ad platforms turn into black boxes, signal optimization offers a way to predict downstream value early and improve CAC and ...

As the use of generative AI becomes increasingly common, we must beware of an algorithmic colonization of language and ...

Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...

Microsoft and Linux are adding AI and Rust to their pipelines. Microsoft is leaning much harder into AI development than Linux. Both are expanding Rust, but neither OS will be fully Rust soon.

Abstract: The extensive adoption of cloud computing platforms in storing and processing data have brought forth a new age of efficiency in the way data is stored, processed and managed, requiring new ...

During the penetration process of hypersonic glide vehicles (HGV), the maneuvering forms are varied, which brings some challenges for tracking them, such as difficulty in the stable matching of single ...

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...

U.S. and state officials say the consolidation of the public health agency’s vast trove of information could expose patients and will delay analysis of long-term trends. By Apoorva Mandavilli The ...

State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 610054 ...