New framework renders AI more trustworthy for cancer subtyping

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...
eLife

SqueakPose Studio: An end-to-end platform for pose estimation and real-time edge-AI deployment

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...
IEEE

Emotion Recognition Using CNN

Abstract: In this research paper, we assess the efficacy of different Convolutional Neural Network (CNN) models, which are powerful tools for solving the image recognition problem. More specifically, ...
Ars Technica

You can now download the source code that sparked the AI boom

On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 ...
Scientific Research Publishing

Diabetic Retinopathy Detection with Deep Learning: A ResNet-CNN Model Enhanced by Attention Mechanism and Ensemble Learning ()

Diabetic retinopathy (DR), a leading cause of vision impairment worldwide, primarily impacts individuals with diabetes, making early detection vital to prevent irreversible vision loss. Leveraging ...
Nature

Brain tumor detection from images and comparison with transfer learning methods and 3-layer CNN

The healthcare industry has been rapidly transformed by technological advances in recent years, and an important component of this transformation is artificial intelligence (AI) technology. AI is a ...
IEEE

Facial Expression Recognition (FER) System Using Deep Learning

Abstract: Sentiment analysis of both text and images have been widely implemented machine learning application. Facial expression recognition (FER) is a widely known application of sentiment analysis ...
GitHub

cnn-image-classification

This repo contains all my Deep Learning semester work, including implementations of FNNs, CNNs, autoencoders, CBOW, and transfer learning. I explored TensorFlow, Keras, PyTorch, and Theano while ...
leewayhertz

Vision Transformer Model: Architecture, development and applications

In recent years, deep learning has profoundly impacted computer vision and image processing, bringing about significant advancements and changes. Convolutional neural networks (CNNs) have been the ...
Scientific Research Publishing

Multi-Label Chest X-Ray Classification via Deep Learning ()

In this era of pandemic, the future of healthcare industry has never been more exciting. Artificial intelligence and machine learning (AI & ML) present opportunities to develop solutions that cater ...