WiMi Studies Hybrid Quantum-Classical Convolutional Neural Network Model

(NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that they are actively exploring a shallow hybrid quantum-classical ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
Electronic Specifier

Now at Mouser: MediaTek Genio 720 and 520 gen-AI

Mouser Electronics is now shipping the new Genio 720 and 520 high-performance Gen-AI IoT system-on-chips (SoCs) from MediaTek ...
Electropages

High-performance gen-AI IoT SoCs for smart and industrial IoT applications

Genio 720 and 520 high-performance Gen-AI IoT SoCs from MediaTek. The Genio 720 and 520 AI Platforms integrate an octa-core CPU (720/ 2.6GHz, 520/ 2.2GHz) with two Arm Cortex-A78 processors and six ...
Electronic Specifier

IoT SoCs optimise AI performance, power efficiency

The new Genio 720 and 520 high-performance Gen-AI IoT system-on-chips (SoCs) from MediaTek is now being shipped by authorised ...
Frontiers

Efficient spiking convolutional neural networks accelerator with multi-structure compatibility

1 College of Electronic Science and Technology, National University of Defense Technology, Changsha, China 2 College of Electronics and Internet of Things, Chongqing Polytechnic University of ...
Frontiers

Image steganalysis using LSTM fused convolutional neural networks for secure telemedicine

Deep learning-based image steganalysis has progressed in recent times, with efforts more concerted toward prioritizing detection accuracy over lightweight frameworks. In the context of AI-driven ...
Scientific Research Publishing

Chen, H., Zhang, Y., Kalra, M.K., Lin, F., Chen, Y., Liao, P., et al. (2017) Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network. IEEE Transactions on ...

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
pv magazine International

PV module fault diagnosis uses convolutional neural network

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...
IEEE

Enhancement of Convolutional Neural Network for Protein-Protein Interaction Prediction Using Sequence Feature Extension

Abstract: Complexes from protein-protein interaction (PPI) are one of the fundamental molecular parts to perform a variety of biological functions, being of great importance in studying protein ...