A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Abstract: Rate-splitting multiple access (RSMA) has emerged as a novel, general, and powerful framework for the design and optimization of non-orthogonal transmission, multiple access (MA), and ...

Abstract: Reliable and efficient trajectory generation methods are a fundamental need for autonomous dynamical systems. The goal of this article is to provide a comprehensive tutorial of three major ...

The FireANTs library is a lightweight, general-purpose registration package for Riemannian diffeomorphic registration on GPUs. It is designed to be easy to use, fast, accurate, and extensible. The ...

Your browser does not support the audio element. Python is a highly popular programming language, widely used in various fields like software development, data ...

The UH faculty in applied mathematics and computational sciences is internationally recognized for research achievement and teaching. We have excellent computing resources and the university library ...

This course is designed for Ph.D. students whose primary field of study is machine learning, or who intend to make machine learning methodological research a main focus of their thesis. It will give ...

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI ...

Ronald de Wolf (1973) studied computer science and philosophy at the Erasmus University Rotterdam, with a focus on logic-based machine learning. He obtained his PhD in 2001 from the University of ...

The documentation, including the installation guide as well as a series of demos/tutorials to show how to use AMICO to fit different models to your data, can be found in the wiki.