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 ...
marktechpost

Building an Advanced Convolutional Neural Network with Attention for DNA Sequence Classification and Interpretability

In this tutorial, we take a hands-on approach to building an advanced convolutional neural network for DNA sequence classification. We focus on simulating real biological tasks, such as promoter ...
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 ...
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 ...
Frontiers

Transformer network enhanced by dual convolutional neural network and cross-attention for wheelset bearing fault diagnosis

Advances in deep learning methods have demonstrated remarkable progress in wheelset fault diagnosis. However, current deep neural networks suffer from design flaws, including low accuracy, high ...
IEEE

A Multi-Angle Encoding Spiking Convolutional Neural Network for Remote Sensing Classification

Abstract: Spiking Convolutional Neural Networks (SCNNs), known as the third generation of neural networks, are favored for their low energy consumption and biological plausibility, making them ideal ...
Scientific Research Publishing

A Combination Method of Stacked Convolutional Auto-Encoder and Selective Kernel Attention Mechanism for Image Classification ()

1 College of Information Engineering, Xinchuang Software Industry Base, Yancheng Teachers University, Yancheng, China. 2 Yancheng Agricultural College, Yancheng, China. Convolutional auto-encoders ...