State of Maryland's AI Priorities & Policy, 12-1 Thr. Nov. 14 12-1 pm ET Thursday, November 14, 2024 online

The UMBC Training Center's Center for Applied AI will hold an online panel discussion on the State of Maryland’s policy objectives on the use of AI from 12-1 on Thursday, November 14. The panel will include Nishant Shah, Maryland’s Senior Advisor for Responsible AI. Register here to get a link and attend online.

The panel will review the state's AI priorities, recent AI legislation, and policy objectives that will influence AI adoption in Maryland. The scope of this discussion will include current initiatives, governance structures, and the recent formation of the AI Enablement team to give attendees an overview of how Maryland is governing AI. This event is designed to inform policymakers, technology professionals, researchers, and anyone interested in the future of AI in Maryland.

UMBC Center for AI ]]> The UMBC Training Center's Center for Applied AI will hold an online panel discussion on the State of Maryland’s policy objectives on the use of AI from 12-1 on Thursday, November 14. The panel... https://www.meetup.com/c4a-ai/events/304307311/?eventOrigin=group_upcoming_events https://dev.my.umbc.edu/api/v0/pixel/news/145494/guest@my.umbc.edu/843b11abf0c78861eb5035c947d06d8b/api/pixel ai maryland md policy UMBC AI https://dev.my.umbc.edu/groups/umbc-ai https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets2-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/original.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/large.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/medium.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/small.png?1691095779 https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxsmall.png?1691095779 UMBC AI 0 0 true Sat, 09 Nov 2024 12:14:14 -0500 Sat, 09 Nov 2024 16:46:22 -0500 Teaching with AI Book Discussion: Part 3: Learning with AI 12-1 pm ET Wednesday, November 13, 2024, online
The UMBC Faculty Development Center's third and final session on the book Teaching with AI: A Practical Guide to a New Era of Human Learning will cover “Learning with AI", which discusses how we can help students learn to use AI productively and responsibly in our courses, including prompts, checklists, and other adaptable tools.

For example, to ask students to engage with frequent feedback, adapt their Feedback Prompt Template, which is designed to elicit useful feedback from AI for revision. The authors examine intrinsically motivating assignment design with checklists that guide students through acceptable use of AI, adaptations for writing assignments, and AI-focused assignments.

Get more information and register here. 

UMBC Center for AI ]]> The UMBC Faculty Development Center's third and final session on the book Teaching with AI: A Practical Guide to a New Era of Human Learning will cover “Learning with AI", which discusses how we... https://my3.my.umbc.edu/groups/calt/events/130770 https://dev.my.umbc.edu/api/v0/pixel/news/145430/guest@my.umbc.edu/79a2936d578f554c1a2a629d86c14a35/api/pixel ai learning teaching UMBC AI https://dev.my.umbc.edu/groups/umbc-ai https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets2-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/original.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/large.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/medium.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/small.png?1691095779 https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxsmall.png?1691095779 UMBC Faculty Development Center https://assets4-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/430/3b7972c038a0450d68c35357a664d8db/xxlarge.jpg?1730932916 https://assets3-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/430/3b7972c038a0450d68c35357a664d8db/xlarge.jpg?1730932916 https://assets3-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/430/3b7972c038a0450d68c35357a664d8db/large.jpg?1730932916 https://assets3-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/430/3b7972c038a0450d68c35357a664d8db/medium.jpg?1730932916 https://assets4-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/430/3b7972c038a0450d68c35357a664d8db/small.jpg?1730932916 https://assets4-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/430/3b7972c038a0450d68c35357a664d8db/xsmall.jpg?1730932916 https://assets3-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/430/3b7972c038a0450d68c35357a664d8db/xxsmall.jpg?1730932916 0 0 true Wed, 06 Nov 2024 17:49:38 -0500 AI in Practice: How Faculty and Entrepreneurs Are Actually Using Generative AI 12-1 pm EST, Wednesday, November 13, 2024, online
The next online session of the AI in Practice series will be  "How Faculty and Entrepreneurs Are Actually Using Generative AI: “Use Case” Lightning Round" on 12-1 pm EST, Wednesday, November 13, 2024.

Do you wonder: How can I actually use AI in my life? In this fast-paced session five leading faculty members and entrepreneurs from UMB, UMBC, and JHU will share their most practical AI use cases, delivered in just five minutes each. You'll hear more than 15 examples of concrete ways you can use AI today. 

The presenters are John G Schumacher (UMBC), Mikhail B. Pevzner (UBALT), Carly Schnitzler (JHU), Paul Davidson (JHU), and  Henry Mortimer (UBALT).

Register here.

UMBC Center for AI ]]> The next online session of the AI in Practice series will be  "How Faculty and Entrepreneurs Are Actually Using Generative AI: “Use Case” Lightning Round" on 12-1 pm EST, Wednesday, November 13,... https://dev.my.umbc.edu/api/v0/pixel/news/145338/guest@my.umbc.edu/a937dd99c5918fa033d0fdda823332ad/api/pixel ai genai llm teaching university use-case UMBC AI https://dev.my.umbc.edu/groups/umbc-ai https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets2-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/original.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/large.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/medium.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/small.png?1691095779 https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxsmall.png?1691095779 UMBC AI Center 0 0 true Mon, 04 Nov 2024 18:18:05 -0500 Mon, 04 Nov 2024 18:19:15 -0500 Google's NotebookLM speaks for itself, 12 pm Thur. Nov 7, online

AI engineers and UMBC alumni Devon Slonaker and Siddhant Gupta discuss and demonstrate Google's NotebookLM research and note-taking tool developed by Google Labs. Its new Audio Overviews feature added last month lets it condense complex documents into engaging podcasts. 

Experience firsthand how this AI-powered system transforms documents (text, pdf, Google doc file, and slides) and YouTube videos into podcasts and summaries—perfect for streamlining your research and learning. 

Don't miss this unique event where NotebookLM takes the stage and talks about itself.

12-12:30pm EST Thursday, November 7, online.  Register here to get the link.

UMBC Center for AI ]]> AI engineers and UMBC alumni Devon Slonaker and Siddhant Gupta discuss and demonstrate Google's NotebookLM research and note-taking tool developed by Google Labs. Its new Audio Overviews feature... https://www.meetup.com/c4a-ai/events/304307459/?eventOrigin=group_upcoming_events https://dev.my.umbc.edu/api/v0/pixel/news/145227/guest@my.umbc.edu/3fb1f9beb4e08a45ce6d809bb1d56484/api/pixel ai google notebooklm UMBC AI https://dev.my.umbc.edu/groups/umbc-ai https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets2-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/original.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/large.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/medium.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/small.png?1691095779 https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxsmall.png?1691095779 UMBC Training Centers, Center for Applied AI 0 0 true Thu, 31 Oct 2024 14:19:07 -0400 Talk: Improving Shared Embodiment between Humans and Robots with Haptics 12-1 pm EDT, October 30, ITE 459, UMBC
UMBC WISS Series

Improving Shared Embodiment between Humans and Robots with Haptics

Janelle Clark, Mechanical Engineering, UMBC

12-1pm EDT, Oct. 30, ITE 459 and online


Lunch will be provided for those attending in-person, please use this form to RSVP. 

Robots are becoming important to enable people in their work and daily life, such as in assistive and performance enhancing devices like prosthetics and exoskeletons, and in teleoperating remote agents to complete tasks in remote or dangerous locations. The communication between people and their robotic devices must be intuitive and responsive in order to be effective. My research interests can be summarized by user-centric design in instances of shared embodiment. These examples demonstrate shared embodiment through shared kinematics in exoskeletons, a joint body in prosthetics, and use as an avatar in teleoperation. My work focuses on utilizing the sense of touch for human-robot communication, acknowledging the important role of haptic information in navigating our environment.

In this talk, I will discuss my work in two areas. The first is in the design and integration of haptic devices in human-robot systems. This leads to the second, addressing a bottleneck in device saliency by combining methods from psychophysics and contact mechanics. Through my work I aim to create effective systems with intuitive control and haptic feedback in order to create more immersive and efficient interactions for the human utilizing robotic support.

Janelle Clark is an assistant professor in the UMBC Mechanical Engineering Department. She received her Ph.D. in Mechanical Engineering at Rice University, Houston, TX, USA in 2022 in the Mechatronics and Haptic Interfaces (MAHI) Lab and postdoctoral fellowship in the Human-Robot Interaction Laboratory in the Minor School of Computer Science at the University of Massachusetts Lowell. Her research focuses on user-centric design and haptic interfaces for human-robot interactions in instances of shared embodiment, with application domains such as prosthetics, exoskeletons, teleoperation, and virtual reality. Her work combines principles from psychophysics, contact mechanics, robotics, hardware design, and controls to investigate physiological contributions to haptic perception and the creation of intuitive human-in-the-loop control systems.

UMBC Center for AI ]]> UMBC WISS Series Improving Shared Embodiment between Humans and Robots with Haptics Janelle Clark, Mechanical Engineering, UMBC 12-1pm EDT, Oct. 30, ITE 459 and online Lunch will be... https://dev.my.umbc.edu/api/v0/pixel/news/145167/guest@my.umbc.edu/1eda77501fbd982964557404f1d5ff4f/api/pixel ai haptics robot robotics UMBC AI https://dev.my.umbc.edu/groups/umbc-ai https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets2-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/original.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/large.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/medium.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/small.png?1691095779 https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxsmall.png?1691095779 UMBC WISS https://assets3-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/167/71b7f1febf9c92d6dcb7057ec0ef446e/xxlarge.jpg?1730219838 https://assets3-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/167/71b7f1febf9c92d6dcb7057ec0ef446e/xlarge.jpg?1730219838 https://assets4-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/167/71b7f1febf9c92d6dcb7057ec0ef446e/large.jpg?1730219838 https://assets3-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/167/71b7f1febf9c92d6dcb7057ec0ef446e/medium.jpg?1730219838 https://assets2-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/167/71b7f1febf9c92d6dcb7057ec0ef446e/small.jpg?1730219838 https://assets1-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/167/71b7f1febf9c92d6dcb7057ec0ef446e/xsmall.jpg?1730219838 https://assets1-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/167/71b7f1febf9c92d6dcb7057ec0ef446e/xxsmall.jpg?1730219838 0 0 true Tue, 29 Oct 2024 13:10:28 -0400 Tue, 29 Oct 2024 13:51:39 -0400 Talk: FT-PrivacyScore: Personalized Privacy Scoring for Machine Learning Participation 1-2 pm EDT Friday, November 1, 2024, online
UMBC Cyber Defense Lab presents

FT-PrivacyScore: Personalized Privacy Scoring for Machine Learning Participation


Dr. Keke Chen, UMBC


1-2 pm EDT Friday, Nov. 1, 2024, online


Joint work with PhD students Ethan Gu and Jiajie He

I will briefly discuss our demo system recently accepted by CCS 2024 that estimates privacy risks of participating in a machine learning task. As many AI models depend on sensitive training data (e.g., identifiable images and text conversations), privacy has increasingly been a major concern in the AI era. Methods like differential privacy allow users to quantify the acceptable privacy loss, which may also lead to significant utility loss. As a result, controlled data access is still the mainstream method for protecting data privacy or controlling privacy leakage in industrial and research settings.  However, there is no quantitative measure for individual data contributors to tell their privacy risks before participating in a machine learning task. We developed the demo prototype FT-PrivacyScore to efficiently and quantitatively estimate the privacy risk of participating in a model fine-tuning task. With FT-PrivacyScore, participants and data consumers can prepare proactively to ensure better protected privacy.

Dr. Keke Chen is an associate professor in the CSEE Department at UMBC. His recent research focuses on privacy and security issues with AI model training and deployment. He earned his Ph.D. in computer science from Georgia Tech in 2006. Before joining UMBC, he was a Northwestern Mutual associate professor of computer science at Marquette University. Email: kekechen@umbc.edu

Host: Alan T. Sherman, sherman@umbc.edu. Support for this event was provided in part by the NSF 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: Nov. 15, Houbing Song (IS, UMBC) Dec. 6, Zhiuan Chen (IS, UMBC)

UMBC Center for AI ]]> UMBC Cyber Defense Lab presents FT-PrivacyScore: Personalized Privacy Scoring for Machine Learning Participation Dr. Keke Chen, UMBC 1-2 pm EDT Friday, Nov. 1, 2024, online Joint... https://dev.my.umbc.edu/api/v0/pixel/news/145125/guest@my.umbc.edu/280ec814a1197bcc5983421fa246bd35/api/pixel ai data fine-tuning machine-learning privacy UMBC AI https://dev.my.umbc.edu/groups/umbc-ai https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets2-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/original.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/large.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/medium.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/small.png?1691095779 https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxsmall.png?1691095779 UMBC Cyber Defense Lab https://assets4-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/125/1f5e6cdd1f8a283604707fba363996c2/xxlarge.jpg?1730128727 https://assets3-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/125/1f5e6cdd1f8a283604707fba363996c2/xlarge.jpg?1730128727 https://assets3-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/125/1f5e6cdd1f8a283604707fba363996c2/large.jpg?1730128727 https://assets1-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/125/1f5e6cdd1f8a283604707fba363996c2/medium.jpg?1730128727 https://assets2-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/125/1f5e6cdd1f8a283604707fba363996c2/small.jpg?1730128727 https://assets2-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/125/1f5e6cdd1f8a283604707fba363996c2/xsmall.jpg?1730128727 https://assets1-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/125/1f5e6cdd1f8a283604707fba363996c2/xxsmall.jpg?1730128727 0 0 true Mon, 28 Oct 2024 11:23:07 -0400 Teaching with AI, book discussion 12-1 pm Wednesday, Oct. 30, online Learn how AI can support educators & impacts grading

UMBC's Faculty Development Center will hold the second online discussion session on Teaching with AI on Wednesday, October 30 from 12-1  based on the book Teaching with AI: A Practical Guide to a New Era of Human Learning by José Antonio Bowen and C. Edward Watson.

This session will cover pages 81-158 of the book and explore how AI can support educators, examine how AI complicates cheating and detection, and share insights about AI policies. Arguing that C-level work is no longer acceptable, since AI can do that for all of us, the last chapter in this section looks at how AI impacts grading and our shared understanding of quality.

Participants can access the ebook online at any time through the AOK library using the following steps.

  1. Log into myUMBC
  2. Go to the AOK Library Website
  3. In the AOK OneSearch box, type the book title and press Search
  4. Locate the ebook, and click on the green "Available online" link
  5. Click on “EBSCOhost Ebooks” under the “View Online” header

Get more information and register here to get the link to the session.

]]> UMBC's Faculty Development Center will hold the second online discussion session on Teaching with AI on Wednesday, October 30 from 12-1  based on the book Teaching with AI: A Practical Guide to a... https://my3.my.umbc.edu/groups/calt/events/130769 https://dev.my.umbc.edu/api/v0/pixel/news/145096/guest@my.umbc.edu/74e88b097531c80160706b879f47533b/api/pixel ai education learning teaching UMBC AI https://dev.my.umbc.edu/groups/umbc-ai https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets2-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/original.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/large.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/medium.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/small.png?1691095779 https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxsmall.png?1691095779 UMBC Faculty Development Center https://assets2-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/096/6b4ddeb046ca6ab0127e99c299196d7f/xxlarge.jpg?1729980379 https://assets4-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/096/6b4ddeb046ca6ab0127e99c299196d7f/xlarge.jpg?1729980379 https://assets3-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/096/6b4ddeb046ca6ab0127e99c299196d7f/large.jpg?1729980379 https://assets3-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/096/6b4ddeb046ca6ab0127e99c299196d7f/medium.jpg?1729980379 https://assets4-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/096/6b4ddeb046ca6ab0127e99c299196d7f/small.jpg?1729980379 https://assets1-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/096/6b4ddeb046ca6ab0127e99c299196d7f/xsmall.jpg?1729980379 https://assets2-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/096/6b4ddeb046ca6ab0127e99c299196d7f/xxsmall.jpg?1729980379 0 0 true Sat, 26 Oct 2024 18:35:23 -0400 PhD student position for research project on evaluating scientific claims The UMBC AI and Theory-Oriented Molecular Science Lab (ATOMS) led by Professor Tyler Josephson in the Department of Chemical, Biochemical and Environmental Engineering. has two fully-funded positions for PhD students to start in Spring 2025 or sooner.

The ATOMS Lab brings together chemical engineers, computer scientists, and mathematicians to equip computers to reason about and discover theories in molecular science.

One position will will support an interdisciplinary team of scientists, engineers, and linguists, to build an AI system for evaluating scientific claims using logic, LLMs, and the Lean 4 programming language.  

See more information about this opportunity here.

UMBC Center for AI ]]> The UMBC AI and Theory-Oriented Molecular Science Lab (ATOMS) led by Professor Tyler Josephson in the Department of Chemical, Biochemical and Environmental Engineering. has two fully-funded... https://atomslab.github.io/ https://dev.my.umbc.edu/api/v0/pixel/news/145078/guest@my.umbc.edu/022f6f601a98aa386c886132615a2e7d/api/pixel ai atoms-lab llm logic molecular-science UMBC AI https://dev.my.umbc.edu/groups/umbc-ai https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets2-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/original.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/large.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/medium.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/small.png?1691095779 https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxsmall.png?1691095779 UMBC AI https://assets3-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/078/d521ecf82f23a8ca2f5d62f81f12119a/xxlarge.jpg?1729869908 https://assets3-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/078/d521ecf82f23a8ca2f5d62f81f12119a/xlarge.jpg?1729869908 https://assets4-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/078/d521ecf82f23a8ca2f5d62f81f12119a/large.jpg?1729869908 https://assets2-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/078/d521ecf82f23a8ca2f5d62f81f12119a/medium.jpg?1729869908 https://assets1-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/078/d521ecf82f23a8ca2f5d62f81f12119a/small.jpg?1729869908 https://assets1-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/078/d521ecf82f23a8ca2f5d62f81f12119a/xsmall.jpg?1729869908 https://assets1-dev.my.umbc.edu/system/shared/thumbnails/news/000/145/078/d521ecf82f23a8ca2f5d62f81f12119a/xxsmall.jpg?1729869908 1 0 true Fri, 25 Oct 2024 11:42:07 -0400 UMBC students sought for LLM hallucination research project Available to both undergraduate and graduate students
UMBC students studying Information Systems, Computer Science or Human-centered Computing are invited to join a research project exploring how users with different characteristics engage with Large Language Model (LLM) hallucinations—instances where LLMs, like ChatGPT, generate inaccurate or misleading information. 

Supervised by UMBC faculty and funded by Cyber Pack Ventures, Inc. (CPVI) , students will design, develop, and test a prototype LLM, conduct an online user study,  analyze study results and present findings. More details about this opportunity can be found here.

UMBC Center for AI ]]> UMBC students studying Information Systems, Computer Science or Human-centered Computing are invited to join a research project exploring how users with different characteristics engage with Large... https://docs.google.com/document/d/11v2ag_MvbcPrG8U2AU7RTZpBjJTdTSYX https://dev.my.umbc.edu/api/v0/pixel/news/145060/guest@my.umbc.edu/733b43dcfc80f41cfd9097a9b841c077/api/pixel ai llm research UMBC AI https://dev.my.umbc.edu/groups/umbc-ai https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets2-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/original.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/large.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/medium.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/small.png?1691095779 https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxsmall.png?1691095779 UMBC AI 0 0 true Thu, 24 Oct 2024 14:49:46 -0400 Talk: ML Reproducibility: Sources of Algorithmic, Implementation & Observational Variability, 10/29 4-5pm EDT Tuesday, October 29, 2024, online

ML Reproducibility: Sources of Algorithmic, Implementation, and Observational Variability

Kevin Coakley, UC San Diego

4-5pm EDT Tue., 29 Oct. 2024, online 


Reproducibility is fundamental to scientific research, as it underpins trust, progress, and credibility. In machine learning (ML), achieving reproducibility is difficult due to variability in algorithms, implementations, and observational factors. This presentation explores key contributors to irreproducibility in ML, including algorithmic factors like hyperparameter tuning and random weight initialization, implementation differences in software and hardware, and observational factors such as dataset bias and data preprocessing. It emphasizes the need to view ML model performance as a distribution, not a single metric or average of results, and clarifies the difference between reproducibility and portability. The goal is to guide researchers on improving ML reproducibility and identifying the critical information necessary for replicating experimental outcomes.

Kevin Coakley is a Computational and Data Science Research Specialist at the San Diego Supercomputer Center and UC San Diego focusing on AI reproducibility. Kevin holds a MAS in Architecture-based Enterprise Systems Engineering and Leadership from UC San Diego and is pursuing a PhD in Computer Science at the Norwegian University of Science and Technology. Kevin specializes in training and evaluating machine learning models for accuracy and reproducibility in applications like image recognition, time series prediction, and natural language processing.

Sponsored by iHARP, the NSF HDR Institute for Harnessing Data & Model Revolution in the Polar Regions

UMBC Center for AI ]]> ML Reproducibility: Sources of Algorithmic, Implementation, and Observational Variability Kevin Coakley, UC San Diego 4-5pm EDT Tue., 29 Oct. 2024, online  Reproducibility is fundamental to... https://my3.my.umbc.edu/groups/iharp/events/134052 https://dev.my.umbc.edu/api/v0/pixel/news/144995/guest@my.umbc.edu/1a5b95931bab93d48e19778962cf1124/api/pixel ai iharp machine-learning UMBC AI https://dev.my.umbc.edu/groups/umbc-ai https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets2-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/original.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xlarge.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/large.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/medium.png?1691095779 https://assets3-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/small.png?1691095779 https://assets4-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xsmall.png?1691095779 https://assets1-dev.my.umbc.edu/system/shared/avatars/groups/000/002/081/cfb27ebe008c2636486089a759ea5c36/xxsmall.png?1691095779 IHARP Institute https://assets4-dev.my.umbc.edu/system/shared/thumbnails/news/000/144/995/422e03e13c76f394bca2bbede792688a/xxlarge.jpg?1729689826 https://assets2-dev.my.umbc.edu/system/shared/thumbnails/news/000/144/995/422e03e13c76f394bca2bbede792688a/xlarge.jpg?1729689826 https://assets4-dev.my.umbc.edu/system/shared/thumbnails/news/000/144/995/422e03e13c76f394bca2bbede792688a/large.jpg?1729689826 https://assets2-dev.my.umbc.edu/system/shared/thumbnails/news/000/144/995/422e03e13c76f394bca2bbede792688a/medium.jpg?1729689826 https://assets2-dev.my.umbc.edu/system/shared/thumbnails/news/000/144/995/422e03e13c76f394bca2bbede792688a/small.jpg?1729689826 https://assets1-dev.my.umbc.edu/system/shared/thumbnails/news/000/144/995/422e03e13c76f394bca2bbede792688a/xsmall.jpg?1729689826 https://assets1-dev.my.umbc.edu/system/shared/thumbnails/news/000/144/995/422e03e13c76f394bca2bbede792688a/xxsmall.jpg?1729689826 0 0 true Wed, 23 Oct 2024 09:40:01 -0400