MATLAB Workshop
Low‑Code Biomedical Data Analysis with GenAI and Parallel Computing in MATLAB at University of Pittsburgh - April 7th
Overview
Learn how to import, visualize, analyze, and model biomedical data using interactive tools in MATLAB. Through live demonstrations and examples, you will see how to complete key steps in a data analysis workflow without writing any code. These interactive tools can also generate the MATLAB code needed to programmatically analyze your data.
- Date: Tuesday, April 7th
- Time: 10:00 AM – 11:30 AM EDT
- Location: The seminar will be held in-person and online. >>REGISTER HERE
- In-person:
- University of Pittsburgh, Center for Research Computing and Data (CRCD)
- 4420 Bayard Street, Pittsburgh, PA 15213
- Room 311A (located on the 3rd floor) Directions - Center for Research Computing and Data
- Remote:
- Please register and an email will be sent with login instructions
- In-person:
Highlights
In this presentation, you will learn how to:
- Access data from multiple sources (files, software, hardware, and more)
- Use interactive tools for data visualization, cleaning, and modeling
- Automatically generate reproducible MATLAB code from your interactive work
- Use MATLAB Copilot to generate code, comments, or explanations of existing code
- Share results with others using automatically generated reports
- Overview of GPU‑accelerated capabilities in MATLAB for high‑performance computing workflows
Who should attend:
This session is ideal for those new to MATLAB, but experienced users will also benefit from new tools, tips, and capabilities introduced in recent releases including MATLAB Copilot, a GenAI‑powered assistant built into the MATLAB desktop environment.