Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

WiMi Releases Next-Generation Hybrid Quantum Neural Network Structure Technology, Breaking Through the Bottleneck of Image Multi-Classification

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a hybrid quantum neural network structure (H-QNN) ...
Mirage News

ACA-SIM: Decoding Satellite Signals Over Complex Waters

A new study introduces ACA-SIM (atmospheric correction based on satellite–in situ matchup data), a neural-network-based atmospheric correction ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
EurekAlert!

Terahertz all-optical analog differential operator based on diffractive neural networks

Terahertz (THz) communication has emerged as one of the key technologies for sixth-generation (6G) wireless networks.
EurekAlert!

High-speed all-optical neural networks empowered spatiotemporal mode multiplexing

Researchers from Zhejiang Lab have proposed a novel spatiotemporal mode multiplexing technology, coupling pulsed orbital angular momentum (OAM) beams with diffractive deep neural networks (D2NN) and ...
IEEE

Radiation Source Reconstruction for TSV-Based Chips and Multilayer Circuits via Optimized Neural Networks

Abstract: In this article, a radiation source reconstruction method (SRM) is proposed for through silicon via (TSV)-based chips and multilayer packaged circuits. By integrating various neural networks ...
Frontiers

Spike-based time-domain analog weighted-sum calculation model for extremely low power VLSI implementation of multi-layer neural networks

1 Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan 2 Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, Kitakyushu, ...
SpaceNews

SpaceX launches 21 satellites for Space Development Agency ‘Transport Layer’ military network

A SpaceX Falcon 9 rocket on Sept. 10, 2025, launched 21 satellites for the Space Development Agency's Tranche 1 Transport Layer from Vandenberg Space Force Base, California. Credit: SpaceX WASHINGTON ...
IEEE

Multilayer Perceptron Artificial Neural Network-Based Solution for Interharmonics Diagnosis in Frequency Spectra

Abstract: Interharmonics diagnosis is increasingly important due to the rise of power electronic devices, renewable energy systems, and related technologies. The IEC 61000-4-7 standardizes the ...