Starting with the most fundamental task of digit recognition using the MNIST dataset which is considered as the "Hello World" dataset of computer vision, this project aims to develop a strong ...

This repository contains one of my Google Colab notebooks focused on learning PyTorch. In this project, I work with FashionMNIST from torchvision.datasets learning about computer vision in Pytorch.

"By transitioning to an umbrella foundation, we're not only formalizing the momentum we've built across the PyTorch ecosystem—we're creating space for new projects and innovators to thrive ...

Reducing screen time is important for maintaining healthy vision and preventing digital eye strain, also known as computer vision syndrome. Screens have become a constant part of daily life in ...

A vision encoder is a necessary component for allowing many leading LLMs to be able to work with images uploaded by users.

Advances in computer vision and machine learning are helping companies get medical devices and drugs to market in a more reliable and safe way, and sometimes at a reduced cost. Pharmaceutical ...

About a decade ago, artificial intelligence was split between image recognition and language understanding. Vision models could spot objects but couldn’t describe them, and language models generate ...

Insects rely on hundreds or thousands of small visual units working together to respond instantly to complex environments.

Shurooq has established itself as a key driver of the real estate sector in Sharjah, which accounted for 7.6 percent of the emirate’s non-oil GDP. The authority recorded a compound annual growth ...