April 2023 Webinar: Chat with your data via RTutor and ChatGPT – Dr. Xijin “Steven” Ge – Professor of Bioinformatics at South Dakota State University

Chat with your data via RTutor and ChatGPT

  • Friday 14th April 2023, 3.00 pm – 4.00 pm

With Dr. Xijin “Steven” Ge – Professor of Bioinformatics at South Dakota State University

About the webinar:

First, I will demonstrate RTutor (https://RTutor.ai), an AI-powered app that lets you chat with your data. RTutor uses ChatGPT to turn requests in plain English into R or Python code, which is executed & results are shown instantly. Beginning with my own work on auto-encoders, I will then briefly talk about the key technical innovations and ideas that made large language models (LLMs) possible: deep learning, transformers, self-supervised learning, and transfer learning. Lastly, there will be a quick overview of the explosion of LLM-powered tools. I argue that it is vital to learn to leverage these tools and embrace the AI revolution.

Registration

When you register (via Sign up link in the right panel) you will receive a confirmation email with the Teams link to join the webinar.

Please check your junk folder if you’ve not yet received this or contact us at nhs.rcommunity@nhs.net if you are having any issues.

Event Speakers

Dr. Xijin “Steven” Ge

Professor of Bioinformatics at South Dakota State University

Dr. Xijin “Steven” Ge is a Professor of Bioinformatics at South Dakota State University, located at Brookings, South Dakota, USA. He obtained BS and MS in physics from Beijing University of Science and Technology. He earned his PhD from The University of Tokyo by studying artificial neural networks that can learn the parts of objects by auto-association. Supported by the NIH, his main research focus is the development of bioinformatics tools (iDEP and ShinyGO) for analyzing genomics data through a graphical user interface.

Homepage:
http://ge-lab.org/
https://www.sdstate.edu/directory/xijin-ge

Event Type

Webinars

Event Date

April 14, 2023

Event Time

3:00 pm - 4:00 pm

Event Venue

Online

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