Workshop: Resilience to Natural Hazards through AI Solutions
Workshop at UMBC and online on March 13, 2024
A workshop on
Resilience to Natural Hazards through AI Solutions is being held at UMBC and online on March 13, 2004 organized by the International Telecommunication Union, World Meteorological Organization, and UN Environment and hosted by NASA’s
Goddard Earth Systems and Technology Center and UMBC The workshop will delve into how AI can contribute to natural hazard resilience as well as some of its limitations. It will have keynote presentations and sessions on how AI-based tools are currently being used. For more information and to register, see
here.
Incorporating Generative AI into Learning Experiences
online via Zoom, 10-1pm ET Friday, April 26, 2024
The event will highlight how faculty, staff, and faculty/staff/student teams from across Maryland higher education have engaged in the use of Generative AI as part of assignments and learning activities. How are we engaging students in the creation of authentic work while using Generative AI? What are critical ethical issues associated with the use of Generative AI in teaching? How might we foster career-ready skills associated with Generative AI as a part of students’ learning experiences?
Keynote speech by Dr. James Lang, author of Cheating Lessons: Learning from Academic Dishonesty, who will discuss a vision of academic integrity in the era of generative AI.
Sponsored by the USM Council of University System Faculty, the Kirwan Center for Academic Innovation, MarylandOnline, and Montgomery College.
To register, click here. Note: Registrations is limited to individuals affiliated with Maryland colleges and universities. Register using your university or college email address.
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Incorporating Generative AI into Learning Experiences online via Zoom, 10-1pm ET Friday, April 26, 2024 The event will highlight how faculty, staff, and faculty/staff/student teams from across...
https://www.usmd.edu/cai/incorporating-generative-ai-learning-experiences-virtual-showcase
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Tue, 12 Mar 2024 09:06:33 -0400
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
]]>
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)...
https://c4a.ai/?utm_campaign=AI&utm_medium=email&_hsmi=296940645&utm_content=296940645&utm_source=hs_email#lb04
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visualization
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Mon, 11 Mar 2024 15:26:28 -0400
Build Assessments with Blackboard AI Course Design Assistant
Online session on using new AI tools, 12pm Thur. March 28
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...
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UMBC AI
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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...
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UMBC Mathematics and Statistics
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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:
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Date: Thursday, March 7th
-
Time: 12:00pm - 1:00pm ET
-
Presenter: Dhruv Ratra
-
Platform: Zoom (link in confirmation email after registration
]]>
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...
https://c4a.ai/?utm_campaign=AI&utm_medium=email&_hsmi=296940645&utm_content=296940645&utm_source=hs_email#lb03
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ai
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UMBC AI
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Wed, 06 Mar 2024 12:09:21 -0500
Online course on applying AI and HPC to cybersecurity
Apply by March 30, starts on May 20, 2024
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.
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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
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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...
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UMBC AI
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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. 
