AI Lunchbox: The Art of AI Visualization, 12-1 ET, March 14
Turning Data Into Insightful Narratives
Lunchbox Series
The Art of AI Visualization: Turning Data Into Insightful Narratives
Dhruv Ratra will demonstrate the incredible power of AI (ChatGPT, Microsoft's Power BI, and Tableau) for data visualization, from generating insights to creating interactive and predictive visuals.
Register for this Lunchbox Series talk here.
Details:
- Date: Thursday, March 14, 2024
- Time: 12:00-1:00 pm ET
- Presenter: Dhruv Ratra
- Platform: Zoom (link in confirmation email after registration
Have you wondered how to use AI tools for course and assessment design, but weren’t sure where to get started? What if you could begin by opening your Blackboard Ultra course?
The Blackboard Ultra AI Design Assistant, available to instructors since December 2023, supports course and assessment design by providing suggestions for course structure, images, assessment questions, and rubrics.
Join Instructional Technology for a 45-minute session to explore the AI Course Design Assistant Tools for assessment in Ultra courses. Learn how to use Ultra AI tools to create and develop test questions and rubrics while exploring opportunities for authentic assessment. Use the new AI Context Picker to specify which course content items should inform generated test questions.
You can get more information here and, if you have a UMBC account, register for the event.
]]>
Have you wondered how to use AI tools for course and assessment design, but weren’t sure where to get started? What if you could begin by opening your Blackboard Ultra course? The Blackboard...
https://my3.my.umbc.edu/groups/instructional-technology/events/128484
https://beta.my.umbc.edu/api/v0/pixel/news/139822/guest@my.umbc.edu/f12fd67988c5c0f4ff38e41f27b3c265/api/pixel
ai
blackboard
teaching
UMBC AI
https://beta.my.umbc.edu/groups/umbc-ai
https://assets4-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779
https://assets2-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/original.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxlarge.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xlarge.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/large.png?1691095779
https://assets3-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/medium.png?1691095779
https://assets3-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/small.png?1691095779
https://assets4-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxsmall.png?1691095779
UMBC AI
https://assets2-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/822/805f8836ceb0fe05e4c56d102545b42d/xxlarge.jpg?1710170774
https://assets2-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/822/805f8836ceb0fe05e4c56d102545b42d/xlarge.jpg?1710170774
https://assets4-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/822/805f8836ceb0fe05e4c56d102545b42d/large.jpg?1710170774
https://assets1-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/822/805f8836ceb0fe05e4c56d102545b42d/medium.jpg?1710170774
https://assets4-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/822/805f8836ceb0fe05e4c56d102545b42d/small.jpg?1710170774
https://assets1-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/822/805f8836ceb0fe05e4c56d102545b42d/xsmall.jpg?1710170774
https://assets1-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/822/805f8836ceb0fe05e4c56d102545b42d/xxsmall.jpg?1710170774
0
0
true
Mon, 11 Mar 2024 11:33:35 -0400
Talk: Machine Learning for Parent-Child Interactions, 3/15
Applications in education and social work; 2-3 Fri. March 15
UMBC Mathematics & Statistics Machine Learning Seminar
Multimodal Machine Learning and Analytics for Characterizing Parent-Child Interactions: Applications in Education and Social Works
Information Systems, UMBC
2-3:00pm ET, Friday March 15, 2024
412 Mathematics/Psychology & via
WebEx
Human-human interactions are fascinating and complex phenomena. However, it is notoriously difficult to study, given the dynamic and multimodal (e.g., audio, verbal, and visual) nature of the interactions. Modern sensors and the computational capability offered by AI/machine learning allow us to process and analyze fine-grained multimodal interaction data at a large scale. In this talk, I will share two studies that characterize and model parent-child interactions using audio/video data recordings, one in math education and another in early childhood parenting intervention contexts. I will discuss the various analytical methods used to derive insights and the implications for designing AI-supported coaching systems for realizing societal impacts at a large scale. I will also examine the challenges of working with multimodal interaction data.
Lujie Karen Chen is an Assistant Professor in the Department of Information Systems at UMBC, where she leads the
Laboratory for Informatics for Human Flourishing. She has almost 20 years of academic and real-world experience in applied machine learning, statistics, data mining, analytics, and visualization. Before joining UMBC, she spent about 15 years at the
Auton Lab at Carnegie Mellon University, where she received her Ph.D. in Information Systems and was a fellow in the Program of Interdisciplinary Educational Research.
]]>
UMBC Mathematics & Statistics Machine Learning Seminar Multimodal Machine Learning and Analytics for Characterizing Parent-Child Interactions: Applications in Education and Social Works...
https://mathstat.umbc.edu/events/event/126146/
https://beta.my.umbc.edu/api/v0/pixel/news/139787/guest@my.umbc.edu/0180bf0e2ae8082a318dc3132dc13d4b/api/pixel
ai
human-interaction
machine-learning
multimodal
UMBC AI
https://beta.my.umbc.edu/groups/umbc-ai
https://assets4-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779
https://assets2-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/original.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxlarge.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xlarge.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/large.png?1691095779
https://assets3-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/medium.png?1691095779
https://assets3-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/small.png?1691095779
https://assets4-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxsmall.png?1691095779
UMBC Mathematics and Statistics
https://assets1-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/787/b9c9d365c0e9c3e120f3734343ee3ca2/xxlarge.jpg?1710094169
https://assets3-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/787/b9c9d365c0e9c3e120f3734343ee3ca2/xlarge.jpg?1710094169
https://assets2-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/787/b9c9d365c0e9c3e120f3734343ee3ca2/large.jpg?1710094169
https://assets2-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/787/b9c9d365c0e9c3e120f3734343ee3ca2/medium.jpg?1710094169
https://assets3-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/787/b9c9d365c0e9c3e120f3734343ee3ca2/small.jpg?1710094169
https://assets4-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/787/b9c9d365c0e9c3e120f3734343ee3ca2/xsmall.jpg?1710094169
https://assets4-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/787/b9c9d365c0e9c3e120f3734343ee3ca2/xxsmall.jpg?1710094169
2
0
true
Sun, 10 Mar 2024 14:23:39 -0400
AI Lunchbox: Insightful Data Analysis Through AI, 12-1pm 3/7
Online via Zoom, 12-1pm ET Thursday March 7, 2024
UMBC Center for Applied AI Lunchbox Series
We'll dig into data this Thursday with Insightful Data Analysis Through AI: A New Era of Understanding! Our presenter, Dhruv Ratra, is an experienced consultant and trainer in data analysis and visualization.
Together we'll take a look at how to upload and ask questions about your data, then let ChatGPT do the heavy lifting by turning complex information into clear, easy-to-understand insights.
Register for the Lunchbox Series here.
Details:
- Date: Thursday, March 7th
- Time: 12:00pm - 1:00pm ET
- Presenter: Dhruv Ratra
- Platform: Zoom (link in confirmation email after registration
UMBC Professor Houbing Herbert Song, in collaboration with Dr. Jiawei Yuan of UMass Dartmouth, will offer an online course on applying AI and high-performance computing knowledge and skills to solve cybersecurity challenges.
The 12-week course starts on May 20, 2024. It consists of instruction in AI, machine learning, and cybersecurity, supported by teaching assistants. It is followed by faculty-guided research projects in multidisciplinary teams of participants from each area.
The pilot course is available to junior or senior undergraduate students, graduate students, postdoctoral fellows, or early-career faculty and researchers in related disciplines in a US institute at the time of participation. Those interested in participating can apply online by March 31, 2024. The course is free, and participants who successfully complete the training course will receive a $1,000 stipend.
The development of this pilot course is supported by collaborative NSF grants OAC-2309760 and OAC-2229976.
Structured Event Reasoning with Large Language Models
University of Pennsylvania
2:15-3:15 pm ET March 5, 2024
Reasoning about real-life events is a unifying challenge in AI and NLP that has profound utility in a variety of domains, while any fallacy in high-stake applications like law, medicine, and science could be catastrophic. Able to work with diverse text in these domains, large language models (LLMs) have proven capable of answering questions and solving problems. In this talk, I demonstrate that end-to-end LLMs still systematically fail on reasoning tasks of complex events. Moreover, their black-box nature gives rise to little interpretability and user control. To address these issues, I propose two general approaches to use LLMs in conjunction with a structured representation of events. The first is a language-based representation involving relations of sub-events that can be learned by LLMs via fine-tuning. The second is a symbolic representation involving states of entities that can be leveraged by either LLMs or deterministic solvers. On a suite of event reasoning tasks, I show that both approaches outperform end-to-end LLMs in terms of performance and trustworthiness.
Li "Harry" Zhang is a 5th-year PhD student working on Natural Language Processing (NLP) and artificial intelligence at the University of Pennsylvania advised by Prof. Chris Callison-Burch. He earned his Bachelor's degree at the University of Michigan mentored by Prof. Rada Mihalcea and Prof. Dragomir Radev. He has published more than 20 papers in NLP conferences that have been cited more than 1,000 times. He has reviewed more than 50 papers in those venues and has served as Session Chair and Program Chair in many conferences and workshops. Being a musician, producer, content creator of over 50,000 subscribers, he is also passionate in the research of AI music.
]]>
Structured Event Reasoning with Large Language Models Li "Harry" Zhang University of Pennsylvania 2:15-3:15 pm ET March 5, 2024 ITE 325b and Webex Reasoning about real-life events...
https://www.tejasgokhale.com/seminar.html
https://beta.my.umbc.edu/api/v0/pixel/news/139485/guest@my.umbc.edu/5be66be233cb34c0f8e465f75bcec876/api/pixel
ai
llm
nlp
UMBC AI
https://beta.my.umbc.edu/groups/umbc-ai
https://assets4-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779
https://assets2-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/original.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxlarge.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xlarge.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/large.png?1691095779
https://assets3-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/medium.png?1691095779
https://assets3-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/small.png?1691095779
https://assets4-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxsmall.png?1691095779
UMBC AI
0
0
true
Sat, 02 Mar 2024 09:57:30 -0500
Sat, 02 Mar 2024 10:29:22 -0500
AI Lunchbox: Latest Developments in AI, 12-1pm ET Thur 2/29
The last two weeks were head-spinning weeks in AI with the announcements of Google's rebranding of Bard with Gemini Advanced, the latest Google LLM
Gemini 1.5, OpenAI's text to video tool,
Sora, and others. Tom Cain and Tushar Rathod invite you to their AI Lunchbox Series conversation about these and other new developments in Artificial Intelligence.
Register here to get the Zoom link.
]]>
The next event in the UMBC Training Centers AI Lunchbox series covers the Latest Developments in AI. It will be held online from 12-1:00pm ET on Thursday, February 29, 2024. The last two...
https://c4a.ai/#lb02
https://beta.my.umbc.edu/api/v0/pixel/news/139367/guest@my.umbc.edu/cc2cbbca8890c3f8c079b80949e8a4d1/api/pixel
UMBC AI
https://beta.my.umbc.edu/groups/umbc-ai
https://assets4-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779
https://assets2-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/original.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxlarge.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xlarge.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/large.png?1691095779
https://assets3-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/medium.png?1691095779
https://assets3-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/small.png?1691095779
https://assets4-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxsmall.png?1691095779
UMBC AI
0
0
true
Wed, 28 Feb 2024 07:59:01 -0500
UMBC Prof. Tejas Gokhale gives new faculty talk at AAAI 2024
Robust Visual Understanding: from Recognition to Reasoning
UMBC Assistant Professor Tejas Gokhale delivered an invited talk at the New Faculty Highlights session at the 2024 AAAI conference. The talk, "Towards Robust Visual Understanding: from Recognition to Reasoning", described his research on building perception and reasoning models with a focus on benchmarking and improving robustness of data-driven visual understanding systems. AAAI's New Faculty Highlights session recognizes and invites new AI faculty from across the globe to present their research and contribute an article to AI Magazine.
GotCHA: CAPTCHAs for an AI Era
12-1pm ET, Friday, Feb. 23, 2024 via WebEx
In the rapidly evolving digital landscape, CAPTCHAs have transitioned from simple tests of humanity to sophisticated challenges that aim to differentiate humans and bots. Presently, CAPTCHAs are a fundamental part of securing the Internet. Unexpectedly, ChatGPT can already solve many real-world CAPTCHAs. Therefore, these AI developments result in an unforeseen problem where AIs are almost indistinguishable from real humans on the Internet. The need for advanced CAPTCHAs that can effectively thwart automated attacks has never been more critical. GotCHA is exploring short games that enhance security and contribute to the overall user experience, turning a traditionally tedious task into an engaging interaction. GotCHA's team includes a former developer from the famous Crash Bandicoot video game and a storyboard artist connected with the popular show Rick & Morty. This talk will highlight the significance of the need for new CAPTCHAs with the latest AI advancements to stay ahead of malicious bots.
Mario Yaksetig is an applied cryptographer who thrives at the intersection of privacy and the intricate world of cryptographic protocols. Mario started his cryptography journey at UMBC under Professor Alan Sherman, notable student of cryptography icon Ron Rivest. He then worked alongside David Chaum, the creator of digital cash, blind signatures, and mix networks. While working with Chaum, Mario has created multiple state-of-the-art cryptographic protocols. Recently, Vitalik Buterin, one of the creators of Ethereum, has cited some of his work on ZK-rollups. Mario's latest paper exposes a sublinear forgeability attack on a post-quantum signature scheme created by Vitalik Buterin. Email:
myaksetig@gmail.com
Host: Alan T. Sherman,
sherman@umbc.edu, Support for this event was provided in part by the National Science Foundation under SFS grant DGE-1753681. The
UMBC Cyber Defense Lab meets biweekly Fridays 12-1pm. All meetings are open to the public. Upcoming CDL meetings: March 8, Cyrus Bonyadi, Metametaphysical Ontologies for Consensus; March 29, Maksim Eren, Tensor Decomposition Methods for Cybersecurity; April 12, Anupam Joshi; April 26, Dan Ragsdale, National Cybersecurity Policy; May 10, Enis Golaszewski, Automatically Binding Cryptographic Context to Messages Using Formal Methods
]]>
UMBC Cyber Defense Lab presents GotCHA: CAPTCHAs for an AI Era Mario Yaksetig Cryptographer, GotCHA Labs 12-1pm ET, Friday, Feb. 23, 2024 via WebEx In the rapidly evolving digital...
https://cisa.umbc.edu/
https://beta.my.umbc.edu/api/v0/pixel/news/139103/guest@my.umbc.edu/3a3aea3b772824dc679738ca88400118/api/pixel
ai
captcha
cybersecurity
UMBC AI
https://beta.my.umbc.edu/groups/umbc-ai
https://assets4-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779
https://assets2-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/original.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxlarge.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xlarge.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/large.png?1691095779
https://assets3-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/medium.png?1691095779
https://assets3-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/small.png?1691095779
https://assets4-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxsmall.png?1691095779
UMBC Cyber Defense Lab
https://assets4-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/103/1df1abbfe5282e744093088135b9570b/xxlarge.jpg?1708362341
https://assets3-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/103/1df1abbfe5282e744093088135b9570b/xlarge.jpg?1708362341
https://assets4-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/103/1df1abbfe5282e744093088135b9570b/large.jpg?1708362341
https://assets4-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/103/1df1abbfe5282e744093088135b9570b/medium.jpg?1708362341
https://assets4-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/103/1df1abbfe5282e744093088135b9570b/small.jpg?1708362341
https://assets1-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/103/1df1abbfe5282e744093088135b9570b/xsmall.jpg?1708362341
https://assets4-beta.my.umbc.edu/system/shared/thumbnails/news/000/139/103/1df1abbfe5282e744093088135b9570b/xxsmall.jpg?1708362341
0
0
true
Mon, 19 Feb 2024 12:18:15 -0500
AI Lunchbox: Ethical Hacking & Cybersecurity with HackerGPT
Free online session, 12-1pm ET Thursday Feb 22, 2024
Join us for this engaging demonstration of
HackerGPT an advanced artificial intelligence program designed for ethical hacking and cybersecurity tasks. Nick Anthis will show how HackerGPT can be used to identify vulnerabilities, simulate cyber attacks, and suggest defenses in digital systems.
]]>
The next event in the UMBC Training Centers AI Lunchbox series is on Ethical Hacking and Cybersecurity with HackerGPT. It will be held online from 12-1:00pm ET on Thursday, February 22, 2024....
https://c4a.ai/
https://beta.my.umbc.edu/api/v0/pixel/news/139080/guest@my.umbc.edu/8b060d1addc52a87eb3ad258160d0c7f/api/pixel
ai
cybersecurity
UMBC AI
https://beta.my.umbc.edu/groups/umbc-ai
https://assets4-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779
https://assets2-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/original.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxlarge.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xlarge.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/large.png?1691095779
https://assets3-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/medium.png?1691095779
https://assets3-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/small.png?1691095779
https://assets4-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779
https://assets1-beta.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxsmall.png?1691095779
UMBC AI
1
0
true
Sat, 17 Feb 2024 13:18:23 -0500
