Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

Non-terrestrial networks have their own challenges that cellular networks didn't have. Will AI help solve them dynamically?

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

A new publication from Opto-Electronic Technology; DOI   10.29026/oet.2025.250010, discusses how a photonic vibration ...

Abstract: In the past couple of decades, the use of "non-quadratic" convex cost functions has revolutionized signal processing, machine learning, and statistics, allowing one to customize solutions to ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

ZHONGLUOTAN TOWN, BAIYUN DISTRICT, GUANGZHOU, GUANGZHOU, CHINA, January 19, 2026 /EINPresswire.com/ — The global food processing industry continues to expand as ...

Abstract: This article presents a highly compact Coarse-Grained Reconfigurable Array (CGRA) specialized for processing Digital Signal Processing (DSP) and Machine Learning (ML) operations with an ...