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The secret to sustainable AI may have been in our brains all along

Researchers have developed a new method for training artificial intelligence that dramatically improves its speed and energy ...
Visual Studio Magazine

CIFAR-10 Image Classification Using PyTorch

CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research shows how to create a PyTorch image classification ...
ascopubs.org

Image-Based Subtype Classification for Glioblastoma Using Deep Learning: Prognostic Significance and Biologic Relevance

Synthetic Data Improve Survival Status Prediction Models in Early-Onset Colorectal Cancer Using whole-slide hematoxylin and eosin images from 214 patients with glioblastoma in The Cancer Genome Atlas ...
Hackaday

Try Image Classification Running In Your Browser, Thanks To WebGPU

When something does zero-shot image classification, that means it’s able to make judgments about the contents of an image without the user needing to train the system beforehand on what to look for.
Visual Studio Magazine

Convolutional Neural Networks for MNIST Data Using PyTorch

Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...
MIT Technology Review

Making an image with generative AI uses as much energy as charging your phone

This is the first time the carbon emissions caused by using an AI model for different tasks have been calculated. Each time you use AI to generate an image, write an email, or ask a chatbot a question ...