As AI agents move into production, teams are rethinking memory. Mastra’s open-source observational memory shows how stable ...

A century ago, the section of U.S. federal law governing public health and welfare was relatively small and loosely connected ...

AI’s biggest constraint isn’t algorithms anymore. It’s data…specifically, high-quality, forward-looking data. It is the “Rare ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

This video explains why the Fast Fourier Transform (FFT) is often called the most important algorithm ever created. Originally developed to help detect hidden nuclear weapons tests during the Cold War ...

Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the ...

Abstract: The existent problem of the weather radar data lies in its too large data which is not conducive to its storage and transmission. This paper put forward a hybrid compression algorithm of the ...

Abstract: The rapid generation and utilization of text data, driven by the proliferation of the Internet of Things (IoT) and large language models, has intensified the need for efficient lossless text ...

Video surveillance is crucial for various applications, including unmanned aerial vehicle operations, flight safety monitoring, social security management, industrial safety, and criminal detection.

Dr. Ziya Arnavut of the State University of New York at Fredonia has received a patent for a software invention that provides a cost-effective method of encrypting data during transmission. The ...

Traditional manual detection of rural road surface distress is time-consuming and labor-intensive. In this paper, we propose a Mask R-CNN algorithm specifically designed for detecting rural road ...