BIOENGINEER

Physics-Guided Graph Transformer Demonstrates Accurate Multimodal Brain Tumor Classification

Researchers have introduced a physics-guided graph transformer framework that combines convolutional features, transformer ...
Embedded

Understanding convolutional neural networks

The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...
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, ...
techtarget

CNN vs. GAN: How are they different?

Convolutional neural networks (CNNs) and generative adversarial networks (GANs) are examples of neural networks-- a type of deep learning algorithm modeled after how the human brain works. "GANs are ...
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 ...

Ben Affleck writes Python and learnt machine learning through visual effects

Ben Affleck has a simple way of getting into the world's top AI labs. He picks up the phone and says his name.
techtarget

Machine learning vs. neural networks: What's the difference?

Machine learning and neural networks are two common terms in AI -- but what do they mean, and how do they differ? What exactly is machine learning? Machine learning is a subset of AI. ML uses an ...