Training a computer vision model on a 50:50 blend of synthetic and real eye images produces more reliable segmentation of the ...

KAIST’s Upsample Anything tackles the memory problem behind sharper on-device AI vision, restoring high-resolution visual features from compressed image data without forcing smartphones to process ...

A technology developed at the Technion enables ordinary users to create realistic video clips intuitively, without the need ...

Anthropic launched Claude Tag in Slack, giving enterprise teams an AI agent with shared context, admin controls, logs, and spend limits. If you can only read one tech story a day, this is it. We use ...

Abstract: The rapid evolution of artificial intelligence has created a demand for deploying machine learning models on low-computational devices, such as microcontrollers. However, these models are ...

This program is demanding by design. Built for experienced computer scientists ready to go beyond the surface of generative AI. You'll tackle complex, unsolved problems and develop the depth to build ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

This project focuses on building a Cats and Dogs Image Classification Model using Convolutional Neural Networks (CNNs) and TensorFlow/Keras. The objective is to develop a deep learning model capable ...

Developed a Fake News Detection project using Python & Machine Learning that classifies news articles as True or Fake. 🔧 Behind the scenes: Data preprocessing & cleaning Feature extraction using ...