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<NewsItem contentIssues="false" id="147697" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/147697">
<Title>Faculty Listening Session: AI In the Classroom at UMBC (part 2)</Title>
<Tagline>12-1pm, Wednesday, March 5, 2025 online</Tagline>
<Body>
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    <span><p><span>After receiving widespread feedback from the fall 2024 faculty survey and the February Listening Session, the UMBC Faculty Senate’s </span><span><strong>Ad Hoc Committee on the Integration of Artificial Intelligence</strong></span><span> is holding an additional </span><a href="https://my3.my.umbc.edu/groups/fs/events/140857/join_meeting" rel="nofollow external" class="bo"><span><strong>online</strong></span></a><span> listening session to solicit experiences, thoughts, and concerns of UMBC faculty regarding use of </span><span><strong>AI in the classroom</strong></span><span>. The listening session will be recorded to preserve data and no identifying information will be associated with collected data.  The outcomes of the listening sessions will be reflected in the committee’s report shared with the faculty senate.</span></p>
    <p><span>The Ad Hoc Committee has the goals of (1) </span><span>Formulating evidence-based policy recommendations to guide the ethical and responsible integration of AI technologies in teaching and learning environments and (2) </span><span>Proposing guidelines, procedures, and safeguards to ensure the appropriate use of AI tools while mitigating potential risks and safeguarding academic integrity, student privacy, and equity.</span></p>
    <h4><span><strong><a href="https://my3.my.umbc.edu/groups/fs/events/140857/join_meeting" rel="nofollow external" class="bo">Join online event</a></strong>, 12-1pm Wednesday, March 5</span></h4>
    <p><span><br></span></p></span>
    <hr>
    <a href="https://ai.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Center for AI</strong></a>
    </div>
]]>
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<Summary>After receiving widespread feedback from the fall 2024 faculty survey and the February Listening Session, the UMBC Faculty Senate’s Ad Hoc Committee on the Integration of Artificial Intelligence...</Summary>
<Website>https://my3.my.umbc.edu/groups/fs/events/140857</Website>
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<Sponsor>UMBC Faculty Senate</Sponsor>
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<PostedAt>Thu, 27 Feb 2025 09:30:02 -0500</PostedAt>
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<NewsItem contentIssues="true" id="146520" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/146520">
<Title>AI in the UMBC Classroom, 12-1 Jan. 15</Title>
<Tagline>UMBC Winter Session Beyond the Classroom online series</Tagline>
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    <div>There's a lot of talk about AI in the classroom, but what do we mean by that? What is the "AI" we are talking about? How and when might we use AI to enhance our teaching and learning while keeping it from replacing us as teachers and students? Join <a href="https://my3.my.umbc.edu/groups/umbc-ai/posts/146520/a6c/1dea2e3476ebfb8ae8a1f72b0b45d5cd/web/link?link=https%3A%2F%2Fenglish.umbc.edu%2Fcore-faculty%2Ftanya-olson%2F" rel="nofollow external" class="bo"><strong>Dr. Tanya Olson</strong></a> for a discussion and a look towards the future. </div>
    <div><span><br></span></div>
    <div>
    <span>The session will be online from 12-1pm ET, on Wednesday, January 15, 2025. Use this</span><span> </span><a href="https://my3.my.umbc.edu/groups/summerspecialprograms/events/137013/join_meeting" rel="nofollow external" class="bo"><strong>link</strong></a><span> to join the online session. </span>
    </div>
    <div><br></div>
    <div>
    <strong><a href="https://english.umbc.edu/core-faculty/tanya-olson/" rel="nofollow external" class="bo">Tanya Olson</a></strong> lives in Silver Spring, Maryland and is a Senior Lecturer in English at UMBC. Olson holds an M.A. in Anglo-Irish Literature from University College, Dublin and the Ph.D. in 20th-Century British Literature from the University of North Carolina-Greensboro. She has taught first-year composition, technical communication, and creative nonfiction classes in the North Carolina Community College system and University System of Maryland and currently serves as the director of WARD (Writing and Rhetoric Division) at UMBC.</div>
    </div>
    <div><br></div>
    <hr>
    <a href="https://ai.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Center for AI</strong></a>
    </div>
]]>
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<Summary>There's a lot of talk about AI in the classroom, but what do we mean by that? What is the "AI" we are talking about? How and when might we use AI to enhance our teaching and learning while keeping...</Summary>
<Website>https://my3.my.umbc.edu/groups/summerspecialprograms/events/137013</Website>
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<Sponsor>Winter Session: Beyond the Classroom</Sponsor>
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<PostedAt>Fri, 10 Jan 2025 17:17:31 -0500</PostedAt>
<EditAt>Fri, 10 Jan 2025 17:52:46 -0500</EditAt>
</NewsItem>

<NewsItem contentIssues="true" id="145502" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/145502">
<Title>UMBC.AI Google Calendar</Title>
<Tagline>Goggle Calendar users can add it to their personal calendar</Tagline>
<Body>
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    <p>We have started a Google Calendar for AI-related <span>events </span><span>at or associated with UMBC.  See <a href="https://ai.umbc.edu/cal2/" rel="nofollow external" class="bo"><strong>this page</strong></a> for an example.</span></p>
    <p>If you use Google Calendar, you can add this<strong> AI.UMBC.EDU </strong>calendar <span>to your personal calendar to have it also also show AI-related events. Once you have linked it to your Google Calendar, it is easy to turn the AI event notifications off or on. </span></p>
    <p><span>To add the AI.UMBC.EDU calendar<span> to your Google Calendar</span>, click this <strong><a href="https://calendar.google.com/calendar/u/0?cid=OWI3OTA4ZmJhMjc1MmU0NTY2YWZlZjVmNjQ0NGIxN2JhYTIxYmZjZmM2OTVkM2Q5ZTAxODRmYmI1ZTc2OTc0OUBncm91cC5jYWxlbmRhci5nb29nbGUuY29t" rel="nofollow external" class="bo">link</a></strong> and follow the directions. If</span> you have an event to suggest adding to the AI Calendar, email information about it to <strong><a href="mailto:umbc-ai@cs.umbc.edu" rel="nofollow external" class="bo">umbc-ai@cs.umbc.edu</a>.</strong></p>
    <hr>
    <a href="https://ai.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Center for AI</strong></a>
    </div>
]]>
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<Summary>We have started a Google Calendar for AI-related events at or associated with UMBC.  See this page for an example.  If you use Google Calendar, you can add this AI.UMBC.EDU calendar to your...</Summary>
<Website>https://ai.umbc.edu/cal2/</Website>
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<Sponsor>UMBC AI</Sponsor>
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<PostedAt>Sun, 10 Nov 2024 16:11:09 -0500</PostedAt>
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<NewsItem contentIssues="true" id="141161" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/141161">
<Title>Demystifying Machine Learning in Data Science, 6-7pm ET 4/26</Title>
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    <div><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/04/Demystifying-Data-Science.png" style="max-width: 100%; height: auto;"></div>
    <div><br></div>
    <div>Have you ever wondered how self-driving cars navigate or how Netflix recommends your next binge? It's all thanks to the mind-blowing power of Machine Learning (ML). Join us for a free, fun and interactive one-hour online session where you will:</div>
    <div><ul>
    <li>Demystify ML in plain English: no jargon, just clear explanations that will have you saying "Aha!"</li>
    <li>Discover amazing ML applications: from healthcare to entertainment, see how ML shapes our world.</li>
    <li>Get hands-on with a famous ML challenge: use free online tools to tackle a real-world problem yourself.</li>
    </ul></div>
    <div>This is your chance to:</div>
    <div><ul>
    <li>Learn more about UMBC's <a href="https://professionalprograms.umbc.edu/data-science/masters-of-professional-studies-data-science/" rel="nofollow external" class="bo"><strong>Master's of Professional Studies in Data Science</strong></a>
    </li>
    <li>Boost your tech knowledge</li>
    <li>Explore future career possibilities: see how ML skills are in high demand across diverse industries</li>
    </ul></div>
    <div>Don't miss out on this exciting opportunity to step into the future of technology! No prior coding experience is needed.<br><br><a href="https://events.blackthorn.io/en/3t1z5Tf7/g/fg7KS5CJ1F/demystifying-machine-learning-for-data-science-success-4a2HVXaZ0r/overview" rel="nofollow external" class="bo">Register here</a> for this online session from <strong>6-7pm ET, Wednesday April 24, 2024 online via WebEx.</strong>
    </div>
    <div><br></div>
    <div>UMBC is committed to inclusivity and accessibility. Automated closed captioning will be available during the event through Webex.</div> <div>
    <br><hr>
    <a href="https://ai.umbc.edu/" rel="nofollow external" class="bo">UMBC Center for AI</a>
    </div>
    </div>
]]>
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<Summary>Have you ever wondered how self-driving cars navigate or how Netflix recommends your next binge? It's all thanks to the mind-blowing power of Machine Learning (ML). Join us for a free, fun and...</Summary>
<Website>https://events.blackthorn.io/en/3t1z5Tf7/g/fg7KS5CJ1F/demystifying-machine-learning-for-data-science-success-4a2HVXaZ0r/overview</Website>
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<PostedAt>Sun, 21 Apr 2024 12:34:41 -0400</PostedAt>
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<NewsItem contentIssues="false" id="140958" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/140958">
<Title>Machine Learning for Bioprocess Sensor Innovation</Title>
<Tagline>UMBC's Prof. Govind Rao interviewed for GEN News article</Tagline>
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<![CDATA[
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    <div>UMBC Professor <a href="https://cbee.umbc.edu/govind-rao/" rel="nofollow external" class="bo"><strong>Govind Rao</strong></a>, was interviewed for an article on <a href="https://www.genengnews.com/topics/bioprocessing/machine-learning-for-bioprocess-sensor-innovation/" rel="nofollow external" class="bo"><strong>Machine Learning for Bioprocess Sensor Innovation</strong></a> in Genetic Engineering &amp; Biotechnology News on the use of machine learning for bioprocess monitoring in drug manufacturing.</div>
    <div><br></div>
    <div>Machine learning (ML) could allow drug firms to create predictive process models that optimize development, production, and quality control. But, before embracing ML on the factory floor, manufacturers will need data to “train” the computer algorithms that drive the approach. And this means having process sensors sophisticated enough to track multiple parameters in real-time in highly complex cell cultures according to an industry expert.</div>
    <div>Machine learning is a specialized form of artificial intelligence in which computer programs learn to solve tasks or understand the dynamics of complex systems with minimal or no direction. The process is iterative, and the solutions improve over time as more data is introduced.</div>
    <div><br></div>
    <div>This need for training data is driving innovation in process sensors, says Govind Rao, PhD, who is director of the <a href="https://cast.umbc.edu/" rel="nofollow external" class="bo"><strong>Center for Advanced Sensor Technology</strong></a> at the University of Maryland, Baltimore County.</div>
    <div><br></div>
    <div>“At the end of the day, AI/ML tools will allow for process monitoring to be simplified once data are generated at scale to relate process conditions to critical quality attributes. The need to run QC tests on quarantined bulk drug substance will be greatly reduced,” he explains. “However, to get there will require high-density process monitoring to allow ML/AI algorithms to relate process conditions to off-line measurements such as glycosylation, aggregation, etc.”</div>
    <div><br></div>
    <div>
    <span>• </span><a href="http://ai.umbc.edu/" rel="nofollow external" class="bo">ai.umbc.edu</a><span> •</span>
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<Summary>UMBC Professor Govind Rao, was interviewed for an article on Machine Learning for Bioprocess Sensor Innovation in Genetic Engineering &amp; Biotechnology News on the use of machine learning for...</Summary>
<Website>https://www.genengnews.com/topics/bioprocessing/machine-learning-for-bioprocess-sensor-innovation/</Website>
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<NewsItem contentIssues="true" id="140651" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/140651">
<Title>AI talks at COEIT Research Day, 10:30-12:30, Friday April 19</Title>
<Tagline>Six talks on current AI research at UMBC</Tagline>
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    <div>The UMBC College of Engineering and Information Technology (COEIT) <a href="https://coeit.umbc.edu/coeit-research-day/" rel="nofollow external" class="bo"><strong>Research Day</strong></a> event takes place from 9:00 am  to 3:00 pm on Friday, April 19, 2024. Parallel sessions of talks on COEIT research are scheduled from 10:30 am to 12:30 pm in the ITE building.</div>
    <div><br></div>
    <div>The program of talks includes a session of six presentations on current <strong>AI-related research </strong>in COEIT departments. Full details on the talks, including their abstracts, is available <strong><a href="https://coeit.umbc.edu/coeit-research-day-talks-2024/#rdt-ai" rel="nofollow external" class="bo">here</a>.</strong>
    </div>
    <div><ul>
    <li>Tejas Gokhale: Towards Robust Visual Understanding: from Recognition to Reasoning</li>
    <li>Md Badrul Hasan, Meilin Yu, Heng Xiao, and Tim Oates: Sub-grid Scale Modeling of Meso-scale Hurricane Boundary Layer Flows using Machine Learning</li>
    <li>Seraj Al Mahmud Mostafa, Omar Faruque, Chenxi Wang, Jia Yue, Sanjay Purushotham, and Jianwu Wang: From Data-Efficient Machine Learning to Neuro-symbolic AI</li>
    <li>Houbing Song: From Data-Efficient Machine Learning to Neuro-symbolic AI</li>
    <li>Sai Vallurupalli, Sayontan Ghosh, Katrin Erk, Niranjan Balasubramanian, and Francis Ferraro:POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events</li>
    <li>Roberto Yus, Jun Ma, Aamir Hamid, Christian Badalato, Sanaa Mironov, Hemanth Reddy Samidi, and Brian Scherzo: Democratizing the IoT through Privacy-Preserving Data Management</li>
    </ul></div>
    <div>Get more information about COEIT Research Day and register to attend <a href="https://coeit.umbc.edu/coeit-research-day/" rel="nofollow external" class="bo"><strong>here</strong></a>.</div>
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<Summary>The UMBC College of Engineering and Information Technology (COEIT) Research Day event takes place from 9:00 am  to 3:00 pm on Friday, April 19, 2024. Parallel sessions of talks on COEIT research...</Summary>
<Website>https://coeit.umbc.edu/coeit-research-day/</Website>
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<NewsItem contentIssues="true" id="138513" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/138513">
<Title>New Center for Applied AI at UMBC Training Centers</Title>
<Tagline>Its curated courses &amp; micro-courses invite you to unravel AI</Tagline>
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    <img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/01/TrainingCenter_AI.png" style="max-width: 100%; height: auto;"> <div>UMBC Training Centers established a new <a href="https://c4a.ai/" rel="nofollow external" class="bo"><strong>Center for Applied AI</strong> </a>as a dedicated hub for advancing skills and fostering innovation in the ever-changing field of Artificial Intelligence. <span>It will offer multiple learning opportunities through courses, webinars, and micro-sessions from a team of experienced instructors with extensive industry knowledge. </span>
    </div>
    <div><span><br></span></div>
    <div><span>The center will also provide a variety of free programming, including virtual information sessions, Q&amp;As, workshops, and in-person community meet-ups to accommodate different skill levels and professional backgrounds. 
    
    Check out its 27-minute video <a href="https://www.youtube.com/watch?v=E8firyjdBBo&amp;t=1549s" rel="nofollow external" class="bo"><strong>Introducing Generative AI, ChatGPT, &amp; more</strong></a>, and sign up for its upcoming free <strong>AI Lunchbox talks</strong> held 12-1 pm every few weeks.</span></div>
    </div>
]]>
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<Summary>  UMBC Training Centers established a new Center for Applied AI as a dedicated hub for advancing skills and fostering innovation in the ever-changing field of Artificial Intelligence. It will...</Summary>
<Website>https://c4a.ai/</Website>
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<PostedAt>Tue, 30 Jan 2024 10:41:27 -0500</PostedAt>
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