Abstract: The advances in the deep learning field have paved the way to novel strategies to represent digital image data in the form of synthetic descriptors. Variational Auto-Encoders (VAE) ...

1 Kontext, a new suite of image generation models that introduce powerful in-context generating and editing capabilities. Kontext enables users to generate, retouch, and iteratively refine images ...

Microsoft has introduced significant enhancements to its Copilot AI assistant, integrating OpenAI's GPT-4o model to support advanced image generation capabilities. The update lets you create ...

This repository contains numerous applications of autoencoder neural networks. Projects include image denoising, detection of infected cells, and processing of the MNIST dataset. Each application ...

Google’s Veo 3 made a splash at Google I/O 2025 as the latest leap forward in AI-powered video generation. As a feature within the new Google AI Ultra subscription, the highest access to Google ...

Methods: This study integrates rainfall, surface displacement, and vertical displacement monitoring data, and proposes an automatic failure mode identification method based on deep convolutional ...

IT4Innovations, VSB─Technical University of Ostrava, 17. listopadu 2172/15, 708 00 Ostrava-Poruba, Czech Republic ...

In this paper, a novel learned image compression framework is proposed. Firstly, the asymmetric convolution block (ACB) is integrated into the variational auto-encoder framework, which can increase ...

Above likely means that issue is on Pytorch XPU side. I have filed it with the minimal pytorch side reproducer: xpu: torch.nn.functional.scaled_dot_product_attention produces NaN on XPU ...

These enhancements include support for remote Model Context Protocol (MCP) servers, integration of image generation and Code Interpreter tools, and upgrades to file search capabilities—all ...