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 ...
Frontiers

A multi-graph convolutional network method for Alzheimer’s disease diagnosis based on multi-frequency EEG data with dual-mode connectivity

Objective: Alzheimer’s disease (AD) is mainly identified by cognitive function deterioration. Diagnosing AD at early stages poses significant challenges for both researchers and healthcare ...
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

Robust Variant-Parameter Double Integral Multi- Layer Neural Dynamics for Tracking Tasks of Quadrotors in Unbounded Noisy Environments

Abstract: In real-world scenarios, quadrotors face significant noise challenges from both internal and external sources, necessitating more robust controllers. While most existing models assume ...
IEEE

An Enhanced Space-Mapping Neural Network Incorporating a Dynamic Scaling Layer for Parametric Modeling of Microwave Components

Abstract: Space-mapping neural network (SMNN) technology has been widely applied for parametric modeling of microwave components. However, existing SMNN technologies struggle to address the challenges ...