Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...

1 School of Electrical Engineering and Automation, Suzhou University of Technology, Suzhou, China. 2 Faculty of Telecommunication, Engineering and Space Technology, Future University, Khartoum, ...

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, ...

Abstract: With the acceleration of urbanization, the construction resource management of civil pipeline engineering construction needs to seek a balance between multiple objectives such as resource ...

In two recent studies, University of Texas at Dallas researchers demonstrated how artificial intelligence (AI) and machine learning can be used to address a variety of issues from a social science ...

A new technical paper titled “Hardware Acceleration of Kolmogorov-Arnold Network (KAN) in Large-Scale Systems” was published by researchers at Georgia Institute of Technology, National Tsing Hua ...

A Tesla engineer said he's leaving the company because of Elon Musk's leadership. "The main reason I'm leaving is that I think Elon has dealt huge damage to Tesla's mission (and to the health of ...

AI-driven pricing models, particularly those utilizing reinforcement learning (RL), can lead to outcomes resembling traditional collusion, fundamentally altering market dynamics. Unlike human-set ...

Abstract: Artificial electric field algorithm (AEFA) is a meta-heuristic optimization technique recently developed that has demonstrated efficacy in scientific research and engineering applications.