CCS/ITSRCI Seminar Series on AI in Practice
offered jointly with the IBI Center for Applied AI and UK AI/ML Hub
Artificial intelligence (AI) has been around for a long time but has only recently become a household name. Through advancements in machine learning and large language models, AI can generate high-quality content such as text, images, or audio. This capability enables exciting new products and services that enhance productivity and transform how we manage our daily tasks. In academia, AI plays an increasingly crucial role in driving groundbreaking discoveries and revolutionizing educational approaches at all levels.
The University of Kentucky community has embraced AI’s potential in research and education. Researchers from all disciplines use AI tools creatively to find a path and shorten the time to new discoveries. Likewise, educators and students at UK use AI tools to create new ways to present and internalize knowledge.
The UK Center for Computational Sciences (CCS), ITS Research Computing Infrastructure, the IBI Center for Applied AI (IBI/CAAI), and the UK Artificial Intelligence and Machine Learning (AI/ML) Hub have joined forces to offer a year-long seminar series aimed at making AI “practical” to the broad UK community. The series’ program will consist of talks by UK scholars on using AI tools and techniques to advance their research or develop new instructional material and methodologies, along with tutorial-type presentations of specific AI tools. Presentations will occur on Thursdays at 12:15 PM in the CCS conference room (McVey Hall, Room 327). The venue provides some space for in-person participation; remote participation via Zoom will also be possible. The first presentation is scheduled for September 12th. The series program can be found at https://www.ccs.uky.edu/ccs-seminar-series-on-ai-in-practice/.
THURSDAYS AT 12:15 PM
327 McVey Hall & Zoom
The next seminar:
Jan 16, 2025 11:45 AM – 12:45 PM (Temporary Timeslot)
Speaker:
Michael Murray, Rosenberg College of Law, University of Kentucky
Where:
327 McVey Hall
(Zoom link: https://uky.zoom.us/j/82467171189)
Title:
The intersection of ML, Generative AI, and Intellectual Property Law
Abstract:
This talk will discuss several of the leading intellectual property law issues involving gen AI. It will discuss the two primary copyright law issues: whether the training of large language models (LLMs) and the outputs of gen AI systems constitute copyright infringement, and whether work created with the assistance of gen AI systems should be copyrightable and owned by the human end-user. It will also raise legal issues raised by deepfakes under right of publicity (name, image, likeness) law, privacy, trademark, and various criminal laws. Finally, the talk will discuss ethical considerations in law and general business practices, emphasizing the need for ongoing research and discussion in this rapidly evolving field.
Seminar Schedule:
September 12, 2024
Dr. Brent Harrison, Computer Science, University of Kentucky
A Gentle Introduction to Modern Machine Learning
Slides
September 19, 2024
Dr. Brent Harrison, Computer Science, University of Kentucky
Practical Value Alignment Using GPT-4o
Slides
September 26, 2024
Aaron Mullen, Institute for Biomedical Informatics, University of Kentucky
CLASSify: A Self-Service Machine Learning Platform
Slides
October 3, 2024
Qiang (Shawn) Cheng, Division of Biomedical Informatics
Novel Deep Learning models and Techniques for Effective and Efficient Handling of Multiple Data Modalities
Slides
October 10, 2024
Md Atik Ahamed, Division of Biomedical Informatics
Advanced tools and packages for handling tabular data and time series data
Slides
October 24, 2024
Qiang Ye
Recurrent Neural Networks and Transformer for Sequential Data
October 31, 2024
Tony Mangino
An introduction to generative AI in Biomedical Applications
Slides
November 7, 2024
Tony Mangino
Tutorial: RGAN package and its applications
Slides
November 14, 2024
Sen-ching Samson Cheung
Challenges in building AI systems for Smart Health
Slides
November 21, 2024
Cohen Archbold and Usman Hassan
Private Machine Learning
Slides
January 16, 2025 (Temporary Timeslot – 11:45 AM – 12:45 PM)
Michael Murray
The intersection of ML, Generative AI, and Intellectual Property Law
January 23, 2025 (Temporary Timeslot – 11:45 AM – 12:45 PM)
Michael Murray and Students
Learning new subjects with Gen AI: AI tutoring and the search for grounded truth
January 30, 2025 (Temporary Timeslot – 11:45 AM – 12:45 PM)
Jeff Talbert
Regulatory requirements for working with healthcare data for applied AI applications
February 13, 2025
Hasan Poonawalla
Adding smart sensors to your data collection pipeline using deep learning on embedded computers.
February 20, 2025
Mami Hayashida and Vikram Gazula
Introduction to Retrieval-Augmented Generation
March 6
Stephen Davis
Learning to Human Rights Data: Three Use Cases from the Bitter Aloe Project
March 13
William Mattingly
Topic TBA
April 3
Barry Farmer
Hands-on training to create Machine Learning Models
April 17
Ankan Bhattacharyya
System for the 2D-3D detection of bourbon barrel features-of-interest
April 24
Xin Liang
Topic TBA
Links to Previous Seminar Series: