BIOENGINEER

Lightweight Neural Network Balances Accuracy and Efficiency in Medical Image Classification

Researchers have introduced ReCAN, a lightweight convolutional neural network that achieves high medical image classification ...
BIOENGINEER

CodeJeNN Generates C++ Code for Physics Neural Networks

Researchers at San Diego State University have developed a software tool called CodeJeNN that automatically converts neural ...

Multistation AI Improves Regional Atmospheric Profiles

Accurate atmospheric temperature and humidity profiles are essential for weather prediction and climate simulation, yet ...
techtimes

Brain-Like Learning Rule Cracks Convolutional Networks: Sakana AI Measures the Biology Tax

Every neural network powering your phone's camera, the language model on your screen, and the recommendation engine choosing your next video was trained with the same four-decade-old algorithm: ...
Greenbot

Neural Networks and Deep Learning Explained

Stephane is a tech enthusiast and AI advocate with a deep-seated passion for leveraging technology to solve real-world problems. With a background in Chemistry and hands-on experience in AI,... We ...
GitHub

Cat vs Dog Classification Model

This project is a machine learning application built from scratch to classify images of cats and dogs using a Convolutional Neural Network (CNN) model. The dataset includes thousands of images, ...
GitHub

Wireless Communication Modulation Classification using Deep Learning

Automatic Modulation Classification (AMC) involves the automatic identification of communication signal modulation types. It holds a crucial role in military, civilian and space spectral efficiency ...