Xiaofei Han Publishes Groundbreaking Research on Multimodal Graph Neural Networks in Frontiers in Neuroscience

Frontiers in Neurorobotics has published a new paper by Xiaofei Han and Xin Dou introducing a next-generation artificial intelligence framework that combines graph neural networks and multimodal ...
Scientific Research Publishing

Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience ()

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .
Newspoint on MSN

Unlock Your Career Potential with These Top AI Certifications

Artificial intelligence is rapidly becoming one of the most lucrative and sought-after fields. The ongoing digital ...
IEEE

A Convolutional Neural Network to Spiking Neural Network Conversion Framework for Seismic Denoising

Abstract: This study investigates the application of Spiking Neural Network (SNN) in seismic signal denoising by developing a Convolutional Neural Network (CNN) to SNN conversion framework. We focus ...
Hosted on MSN

Neural Network python from scratch | MultiClass Classification with Softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
C&EN

RTK_RAG: Leveraging Retrieval Augmented Generation with Multi-Window Convolutional Neural Networks for Superior ATP Binding Site Prediction in Receptor Tyrosine Kinases

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Receptor tyrosine kinases (RTKs) are key regulators of cellular signaling and are ...
IEEE

Time-Series Analysis in Epilepsy Prediction using Temporal Convolutional Networks (TCN)

Abstract: Time-series analysis in epilepsy prediction involves analysing temporal patterns in neural activity such as EEG signals to detect changes that precede seizures. This work aims at evaluating ...
eLife

Convolutional networks can model the functional modulation of the MEG responses associated with feed-forward processes during visual word recognition

van Vliet and colleagues show a useful correlation between internal states of a convolutional neural network (CNN) trained on visual word stimuli with three specific components of evoked MEG ...