Panther rolls out AI SOC Platform with agents that learn and improve over time

Security monitoring platform company Panther Labs Inc. today announced the general availability of its complete AI SOC Platform, a new security operations service where artificial intelligence agents ...
IEEE

RandomViG: Random Vision Graph Neural Network for Image Classification

Abstract: Vision Graph Neural Network (ViG) is the first graph neural network model capable of directly processing image data. The community primarily focuses on the model structures to improve ViG’s ...
来自MSN

Python neural network for multiclass classification using 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 ...
TWCN Tech News

Create real-time interactive flowcharts for your code using VS Code CodeVisualizer

In this post, we will show you how to create real-time interactive flowcharts for your code using VS Code CodeVisualizer. CodeVisualizer is a free, open-source Visual Studio Code extension that ...
GitHub

Neural Graphics Model Gym

Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...
Hackaday

Simple Tricks To Make Your Python Code Faster

Python has become one of the most popular programming languages out there, particularly for beginners and those new to the hacker/maker world. Unfortunately, while it’s easy to get something up and ...
Scientific Research Publishing

Dreiseitl, S. and Ohno-Machado, L. (2002) Logistic Regression and Artificial Neural Network ...

ABSTRACT: A degenerative neurological condition called Parkinson disease (PD) that evolves progressively, making detection difficult. A neurologist requires a clear healthcare history from the ...
GitHub

Tversky Neural Networks (TNN)

A PyTorch implementation of Tversky Neural Networks (TNNs), a novel architecture that replaces traditional linear classification layers with Tversky similarity-based projection layers. This ...
IEEE

Quaternion Convolutional Neural Networks for Image Classification

Abstract: In recent years, real-valued neural networks have made significant progress in computer vision tasks such as image classification, object detection, and semantic segmentation. However, ...
Frontiers

High-accuracy lung sound classification for healthy versus unhealthy diagnosis using ...

In recent years, advancements in machine learning and electronic stethoscope technology have enabled high-precision recording and analysis of lung sounds, significantly enhancing pulmonary disease ...
Frontiers

SpyKing—Privacy-preserving framework for Spiking Neural Networks

Artificial intelligence (AI) models, frequently built using deep neural networks (DNNs), have become integral to many aspects of modern life. However, the vast amount of data they process is not ...