A team of scientists funded by Asari AI, with researchers from Caltech and MIT, has developed a new tool that gives ...

Abstract: The characterization of microstructures in medical electrode materials is crucial for understanding their performance and functionality. Imaging with a Scanning Electron Microscope (SEM) ...

In the past decade, AI's success has led to uncurbed enthusiasm and bold claims—even though users frequently experience errors that AI makes. An AI-powered digital assistant can misunderstand ...

Background: This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual ...

Google's Gemini 2.5 Flash AI image generation model was known as Nano Banana during pre-release testing when it first went viral. The name stuck after Google released Nano Banana in late August. The ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

In this tutorial, we will show you how to upscale an image using Copilot PC. Whether you want to take a large print of a picture, improve old photos, or crop a photo to focus on the content, you can ...

Several Pixel users are reporting discrepancies between their camera viewfinder previews and the final processed photos. Most of the complaints focus on over-processed images with inaccurate color ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Microsoft Deployment Toolkit is designed to streamline the deployment of Windows operating systems, applications, and configurations across multiple devices. If you want to capture Windows Image using ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...