One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

Advances in image processing and machine learning (ML) substantially affected unmixing. This article provides an overview of advanced and conventional unmixing approaches. In addition, we draw a ...

EPFL scientists have developed a new technique that lets researchers watch, with unprecedented sensitivity, how materials ...

About 🔧 High-performance Python rate limiting library with multiple algorithms (Fixed Window, Sliding Window, Token Bucket, Leaky Bucket & GCRA) and storage backends (Redis, In-Memory).

Key considerations for discovery in AI-focused intellectual property (IP) litigation, including an examination of a hypothetical patent infringement and trade secret misappropriation case on highly ...

We use these fixed point multiplication algorithms to efficiently perform more complex in-memory operations such as image convolution and further show how to partition large images to multiple memory ...

Python modules to work with large, multiresolution images. Large Image is developed and maintained by the Data & Analytics group at Kitware, Inc. for processing large geospatial and medical images.

With fake images, we can customize the exact properties of the objects in the image. That way, we can see if the algorithms we’re training can uncover those properties correctly.

Astronomy has a major data problem. Simulating realistic images of the sky can help train algorithms by John Peterson, The Conversation ...