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 ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
Abstract: Due to their synaptic-like characteristics and memory properties, memristors are often used in neuromorphic circuits, particularly neural network circuits. However, most of the existing ...
How to become a data scientist Want to start a career as a data scientist? Learn how to become a data scientist with career ...
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 .
To explain how a convolutional neural network (CNN) processes an image, it is common to generate classification activation maps (CAMs) to reveal image areas that are relevant to output. Nevertheless, ...
Given the importance of AI tools and LLM Models the Government of India has launched 5 new courses for students, educators ...
GitHubHero is a Dockerized Python app using FastAPI, Streamlit, and Plotly to analyze and display your language trends and contributions via GitHub GraphQL API ...
GitHubHero is a Dockerized Python app using FastAPI, Streamlit, and Plotly to analyze and display your language trends and contributions via GitHub GraphQL API This repository serve as a reference ...
Department of Materials Science and Engineering, Whiting School of Engineering, The Johns Hopkins University, Baltimore, Maryland 21218, United States Department of Electrical and Computer Engineering ...
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