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

Quantum Convolutional Networks Classify Images Directly on Superconducting Hardware

A 49-qubit fragment-encoded quantum convolutional neural network running on IBM's Heron r2 processor classified ...

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 ...
SoftBank

SoftBank Demonstrates Higher 5G Uplink Throughput with a Transformer Neural Receiver

SoftBank demonstrated up to a 60.5% improvement in 5G uplink L1 throughput under interference using a Transformer-based neural receiver integrated into NVIDIA Aerial. OTA testing with a commercial ...