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<NewsItem contentIssues="true" id="142662" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/142662">
<Title>Free class: Programming in Lean for Scientists and Engineers</Title>
<Tagline>1-3pm ET July 9 &#8211; Aug 21, in-person &amp; onlne, non-credit</Tagline>
<Body>
<![CDATA[
    <div class="html-content"><span><h5><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/07/lean2.png" style="max-width: 100%; height: auto;"></h5><br><h2><span>Lean for Scientists and Engineers</span></h2><h5><span><br></span></h5><h4><span><strong>Meets twice weekly, 1-3pm ET, July 9 – August 21, 2024<br></strong></span><span><strong>in-person at UMBC and online</strong></span></h4><p><span><br></span></p><p><span>UMBC’s AI &amp; Theory-Oriented Molecular Science Lab (<a href="https://atomslab.github.io/" rel="nofollow external" class="bo"><strong>ATOMS</strong></a>) will teach a free, non-credit class, “Lean for Scientists and Engineers”, this summer. </span><span><a href="https://lean-lang.org/" rel="nofollow external" class="bo"><strong>Lean 4</strong></a></span><span> is a new programming language whose type system enables it to describe and check the logic of advanced math proofs. It makes it easier to write correct and maintainable code.</span></p><p><span>By writing software in Lean and writing proofs </span><span>about</span><span> those functions, we can be confidant that our code is correct. Our vision is to enable a new class of scientific computing software whose functions are interwoven with a library of formally-verified scientific derivations. All are welcome! This course is designed for non-mathematicians. </span></p><p><span>Topics include l</span><span>ogic and proofs for scientists and engineers, f</span><span>unctional programming in Lean 4, and p</span><span>rovably-correct programs for scientific computing. </span><span>Prerequisites are Calculus II, introductory physics and introductory chemistry.</span></p></span><h4><span><span><strong>Register and get more information </strong></span><a href="https://forms.gle/Yro7uVoLkxyAyw7r5" rel="nofollow external" class="bo"><span><strong>here</strong></span></a><span>.</span></span></h4><div><span><strong><br></strong></span>
    <hr><a href="https://ai.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Center for AI</strong></a> 
    </div></div>
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<Summary>Lean for Scientists and Engineers     Meets twice weekly, 1-3pm ET, July 9 – August 21, 2024 in-person at UMBC and online     UMBC’s AI &amp; Theory-Oriented Molecular Science Lab (ATOMS) will...</Summary>
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<Tag>class</Tag>
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<Tag>programming</Tag>
<Tag>proof</Tag>
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<PostedAt>Fri, 05 Jul 2024 12:52:05 -0400</PostedAt>
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<NewsItem contentIssues="true" id="142574" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/142574">
<Title>AI Lunchbox: Organizational Design in the AI Age, 12-1 6/27</Title>
<Body>
<![CDATA[
    <div class="html-content"><div><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/06/600_521084545.webp" style="max-width: 100%; height: auto;"></div><div><br></div><div><br></div><div><strong><a href="https://c4a.ai/#lb02" rel="nofollow external" class="bo"><span>Experimenting with Organizational Design in the Age of AI</span></a></strong></div><div><br></div><div><strong><a href="https://www.linkedin.com/in/erwinagodoy/" rel="nofollow external" class="bo">Erwin Godoy</a>, Freddie Mac</strong></div><div><strong>12-1pm ET, June 27, 2024</strong></div><div><br></div><div>How AI will transform organizations is still to be determined. No doubt, AI will require new skill sets and perhaps new types of organization. The normal response by mature organizations is to "slap" AI into the existing business model that made them successful in the past. This is a flawed response filled with pitfalls. Organizations need to be ready to experiment with new skills, organizational designs, and business models to win in the age of AI. </div><div><br></div><div>Join the UMBC Training Centers for this free online session in their AI Lunchbox Series.  <strong>Register <a href="https://c4a.ai/#lb02" rel="nofollow external" class="bo">here</a></strong>.</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>Experimenting with Organizational Design in the Age of AI     Erwin Godoy, Freddie Mac  12-1pm ET, June 27, 2024     How AI will transform organizations is still to be determined. No doubt, AI...</Summary>
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<PostedAt>Thu, 27 Jun 2024 10:19:58 -0400</PostedAt>
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<NewsItem contentIssues="true" id="142381" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/142381">
<Title>AI Technical Meetup &amp; Networking, 5-7pm June 13</Title>
<Tagline>UMBC Training Centers</Tagline>
<Body>
<![CDATA[
    <div class="html-content"><span><p><span><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/06/600_521207344.jpg" style="max-width: 100%; height: auto;"></span></p><p><br></p><p><span>The UMBC Training Centers will hold a <strong><a href="https://www.meetup.com/c4a-ai/events/301149219?utm_campaign=AI&amp;utm_medium=email&amp;_hsmi=308021467&amp;utm_content=308021467&amp;utm_source=hs_email" rel="nofollow external" class="bo">Summer AI Meetup</a></strong> in Columbia, MD, on </span><strong>Thursday, June 13th, from 5 to 7 pm.</strong><span> The event will include networking with drinks and snacks included, two presentations, and time for questions and discussions.</span></p><p><a href="https://www.linkedin.com/in/liam-echlin/" rel="nofollow external" class="bo"><strong>Liam Echlin</strong></a><span> will present the capabilities of HuggingFace, a leading platform in the AI and machine learning community that simplifies the installation and integration of specific open-source models and datasets into your projects. Attendees will gain practical insights into leveraging these powerful tools to enhance their AI-driven applications efficiently.</span></p><p><a href="https://www.linkedin.com/in/matt-archibald-7733b713/" rel="nofollow external" class="bo"><strong>Matt Archibald</strong></a><span> will explore the intersection of AI and critical thinking, emphasizing that while AI tools can enhance data collation, sorting, and summarization, they should never replace the essential cognitive functions of human analysts. Attendees will learn how to effectively harness AI tools while maintaining rigorous critical thinking to navigate the complexities of modern data analysis.</span></p><p><span>Get more information and register for the meetup </span><a href="https://www.meetup.com/c4a-ai/events/301149219?utm_campaign=AI&amp;utm_medium=email&amp;_hsmi=308021467&amp;utm_content=308021467&amp;utm_source=hs_email" rel="nofollow external" class="bo"><strong>here</strong></a><span>.</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>The UMBC Training Centers will hold a Summer AI Meetup in Columbia, MD, on Thursday, June 13th, from 5 to 7 pm. The event will include networking with drinks and snacks included, two...</Summary>
<Website>https://www.meetup.com/c4a-ai/events/301149219?utm_campaign=AI&amp;utm_medium=email&amp;_hsmi=308021467&amp;utm_content=308021467&amp;utm_source=hs_email</Website>
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<Sponsor>UMBC AI</Sponsor>
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<PostedAt>Sun, 09 Jun 2024 18:59:58 -0400</PostedAt>
<EditAt>Sun, 09 Jun 2024 19:12:06 -0400</EditAt>
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<NewsItem contentIssues="true" id="142332" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/142332">
<Title>10th Mining and Learning from Time Series workshop at KDD</Title>
<Body>
<![CDATA[
    <div class="html-content"><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/06/milets24.jpg" style="max-width: 100%; height: auto;"><div><br></div><div><span><span>UMBC Professor <strong><a href="https://sanjayp.is.umbc.edu/" rel="nofollow external" class="bo">Sanjay Purushotham</a></strong> is one of the organizers of <strong><a href="https://kdd-milets.github.io/milets2024/" rel="nofollow external" class="bo">MILETS'24</a></strong>, the 10th Mining and Learning from Time Series workshop. It will be held on August 25, 2024 in conjunction with <strong><a href="https://kdd2024.kdd.org/" rel="nofollow external" class="bo">KDD'24</a></strong>, the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Submitted papers are due by <strong><a href="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/06/CFP_MILETS_KDD2024.pdf" rel="nofollow external" class="bo">June 14</a></strong>, 2024.</span></span></div><div><span><span><br></span></span></div><div><span><span><a href="https://en.wikipedia.org/wiki/Time_series" rel="nofollow external" class="bo">Time series data</a> is ubiquitous across diverse domains, and modern time series pose significant challenges to existing techniques due to their size, complexity, and atypical properties. MILETS'24 will focus on synergizing research in time series analysis and mining, moving from classical methods to LLMs, discussing new and open problems, and emphasizing applications to high-impact domains. </span></span></div><div><span><span><br></span></span></div><div><span><span>Topics covered include forecasting, pattern mining, multivariate and structured time series, anomaly detection, interpretation, causal inference, fairness, federated learning, hardware acceleration, streaming data, privacy, benchmarking, and applications across various fields.</span></span></div><div><span><span><br></span></span></div><div><span>Download the <strong><a href="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/06/CFP_MILETS_KDD2024.pdf" rel="nofollow external" class="bo">call for papers here</a></strong>.</span></div><div><span><span><br></span></span></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>UMBC Professor Sanjay Purushotham is one of the organizers of MILETS'24, the 10th Mining and Learning from Time Series workshop. It will be held on August 25, 2024 in conjunction with KDD'24, the...</Summary>
<Website>https://kdd-milets.github.io/milets2024/</Website>
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<Tag>artificial-intelligence</Tag>
<Tag>data-science</Tag>
<Tag>kdd</Tag>
<Tag>llms</Tag>
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<PostedAt>Wed, 05 Jun 2024 12:36:43 -0400</PostedAt>
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<NewsItem contentIssues="true" id="142329" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/142329">
<Title>AI Lunchbox: HuggingFace Tour, 12-1pm ET Thur. June 6, 2024</Title>
<Body>
<![CDATA[
    <div class="html-content"><div><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/06/600_521234468.webp" style="max-width: 100%; height: auto;"></div><div><span><br></span></div><div><span><a href="https://huggingface.co/" rel="nofollow external" class="bo"><strong>HuggingFace</strong></a> is a popular open-source machine learning platform and community that enables people to share and download AI models, datasets and tools for many AI areas, including NLP, vision, audio, and machine learning tasks. </span></div><div><span><br></span></div><div><span>In this week's AI Lunchbox session from the UMBC Training Centers, </span><strong><span><a href="https://www.linkedin.com/in/liam-echlin/" rel="nofollow external" class="bo">Liam </a></span><span><a href="https://www.linkedin.com/in/liam-echlin/" rel="nofollow external" class="bo">Echlin</a></span></strong><span> gives a brief tour of HuggingFace and some of the many AI resources it makes available.</span></div><div><span><br></span></div><div><span><strong><a href="https://c4a.ai/?utm_campaign=AI&amp;utm_medium=email&amp;_hsmi=310136162&amp;utm_content=310136162&amp;utm_source=hs_email#lunchbox" rel="nofollow external" class="bo">Register here</a></strong> to get the Zoom link for the AI Lunchbox meeting, 12-1PM ET on Thursday, June 6, 2024.</span></div><div><span><br></span></div><div></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>HuggingFace is a popular open-source machine learning platform and community that enables people to share and download AI models, datasets and tools for many AI areas, including NLP, vision,...</Summary>
<Website>https://c4a.ai/?utm_campaign=AI&amp;utm_medium=email&amp;_hsmi=310136162&amp;utm_content=310136162&amp;utm_source=hs_email#lunchbox</Website>
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<PostedAt>Wed, 05 Jun 2024 10:17:05 -0400</PostedAt>
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<NewsItem contentIssues="true" id="142240" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/142240">
<Title>Free AI4ALL Ignite program for undergrads interested in AI</Title>
<Tagline>Starts in September 2024, apply by June 17</Tagline>
<Body>
<![CDATA[
    <div class="html-content"><div><a href="https://ai-4-all.org/ai4all-ignite/" rel="nofollow external" class="bo"><strong><br>AI4ALL Ignite</strong></a><span> is a free virtual AI career accelerator that offers opportunities for Black, Hispanic/Latinx, Indigenous and/or women or non-binary undergraduate students to cultivate long-term AI industry connections and mentorship by working with AI professionals on a hands-on AI technical portfolio project.</span></div><div><span><br></span></div><div><span>Students will present their work at a virtual student symposium, understand the technology through a responsible AI lens, and participate in career readiness training. The goal is to empower participating students with the in-demand skills needed to interview for AI technical internships. </span></div><div><span><br></span></div><div><span>Apply by </span><strong>June 17, 2024</strong><span> for early consideration. The year-long program begins in September 2024 and continues into the spring semester. For more information, visit the </span><strong><a href="https://ai-4-all.org/ai4all-ignite/" rel="nofollow external" class="bo">AI4ALL Ignite</a> website</strong><span>.</span></div><br><hr><a href="https://ai.umbc.edu/" rel="nofollow external" class="bo">UMBC Center for AI</a></div>
]]>
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<Summary>AI4ALL Ignite is a free virtual AI career accelerator that offers opportunities for Black, Hispanic/Latinx, Indigenous and/or women or non-binary undergraduate students to cultivate long-term AI...</Summary>
<Website>https://ai-4-all.org/ai4all-ignite/</Website>
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<PostedAt>Wed, 29 May 2024 12:57:37 -0400</PostedAt>
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<NewsItem contentIssues="true" id="142229" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/142229">
<Title>AI Lunchbox: OpenAI GPT-4o, 12-1 ET Thur. May 30</Title>
<Body>
<![CDATA[
    <div class="html-content"><div><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/05/ailbgpt4o.webp" style="max-width: 100%; height: auto;"></div><div><br></div><div><div>In the UMBC Training Centers <strong>AI Lunchbox</strong> session this week, Tom Cain will give an overview of OpenAI's latest model,<strong><a href="https://en.wikipedia.org/wiki/GPT-4o" rel="nofollow external" class="bo"> GPT-4o</a></strong>, 12-1pm ET, Thursday May 30, 2024 via Zoom.</div><div><br></div><div>Earlier this month, OpenAI released the latest version of their model, GPT-4o. The "o" in its name stands for "omni" to highlight its enhanced capabilities to process and respond to audio content, function as a chat assistant, and other new features. In addition to being more capable, it is also free to use interactively and cheaper to use via its API. </div><div><br></div><div>Tom will demonstrate some of the new possibilities that GTP-4o opens up for interacting with AI tools in this session, focusing on features that are free for any user.</div><div><br></div><div>Register for this Lunchbox Series meeting on their <a href="https://info.umbctraining.com/e3t/Ctc/LT+113/c3xy404/VWRvqy3QPzTyW9gdHY41jrM6TW2ZRfP15fF5v0N11fKV-3qgyTW5BW0B06lZ3kWW6rCQFg3sRyq7V1DRmy8-x40SW8FVh617QnHR1W60cFL86SJYRFW8Lb_cv3WypTFV8b6sp6ZDzZcW6cNCFP91CBCsW2BXtcX42fp_KW65WG5_50jkT8W2LZR0l4K97KfW6JBzt773gZwbW5JQbr-6PkzfbW6N-4dn3Fzsx3W7rMztg15wxLHVMswS87G6XbrW5_M7Z77zVMkPVh4j-Q48CThBN8mrnGxnLmvnf94dMMW04" rel="nofollow external" class="bo"><strong>site</strong></a> or through <a href="https://www.meetup.com/c4a-ai/events/301041347/" rel="nofollow external" class="bo"><strong>Meetup</strong></a>. If you'd like to see another one of Tom's session demonstrating ChatGPT and other LLMs, check out the earlier Lunchbox sessions on their <a href="https://www.youtube.com/@WeAreC4A" rel="nofollow external" class="bo"><strong>YouTube channel</strong></a>.</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>In the UMBC Training Centers AI Lunchbox session this week, Tom Cain will give an overview of OpenAI's latest model, GPT-4o, 12-1pm ET, Thursday May 30, 2024 via Zoom.     Earlier this month,...</Summary>
<Website>https://info.umbctraining.com/e3t/Ctc/LT+113/c3xy404/VWRvqy3QPzTyW9gdHY41jrM6TW2ZRfP15fF5v0N11fKV-3qgyTW5BW0B06lZ3kWW6rCQFg3sRyq7V1DRmy8-x40SW8FVh617QnHR1W60cFL86SJYRFW8Lb_cv3WypTFV8b6sp6ZDzZcW6cNCFP91CBCsW2BXtcX42fp_KW65WG5_50jkT8W2LZR0l4K97KfW6JBzt773gZwbW5JQbr-6PkzfbW6N-4dn3Fzsx3W7rMztg15wxLHVMswS87G6XbrW5_M7Z77zVMkPVh4j-Q48CThBN8mrnGxnLmvnf94dMMW04</Website>
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<PostedAt>Tue, 28 May 2024 17:13:40 -0400</PostedAt>
<EditAt>Tue, 28 May 2024 17:25:38 -0400</EditAt>
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<NewsItem contentIssues="true" id="142062" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/142062">
<Title>Talk: Machine Learning for Voltage Monitoring, 10:30 ET 5/23</Title>
<Tagline>estimating voltage over the entire distribution feeder</Tagline>
<Body>
<![CDATA[
    <div class="html-content"><div><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/05/Screenshot-2024-05-17-at-1.56.22%E2%80%AFPM.webp" style="max-width: 100%; height: auto;"></div><div><br></div><div><strong>Machine Learning based Voltage Monitoring in  </strong><strong>Real-time Unobservable Distribution Systems</strong></div><div><strong><br></strong></div><div><strong>Prof. <a href="https://search.asu.edu/profile/3023947" rel="nofollow external" class="bo">Anamitra Pal</a>, Arizona State University</strong></div><div><strong><br></strong></div><div><strong>10:30-11:30am ET, Thursday, May 23, 2024</strong></div><div><strong>UMBC, 325b ITE and online via <a href="https://umbc.webex.com/meet/rajangul" rel="nofollow external" class="bo">WebEx</a></strong></div><div><br></div><div>Due to increasing penetration of solar photovoltaic generation and electric vehicle charging loads, there is a genuine need to closely monitor the voltage over the entire length of the distribution feeder. Smart meters, present only at the terminal nodes of the feeder, cannot fulfill this need; they also have high reporting delays.  Distribution phasor measurement units have the necessary speed, but it is cost- prohibitive to place them in bulk. Thus, monitoring voltages in real-time unobservable distribution systems is challenging. This talk will describe how the use of machine learning can help overcome this challenge by performing high-speed voltage estimation while accounting for the physical attributes and operational characteristics of modern distribution systems. To ensure trust in the machine learning-based approach, formal guarantees of performance will also be provided.</div><div><br></div><div><strong><a href="https://search.asu.edu/profile/3023947" rel="nofollow external" class="bo">Anamitra Pal</a> </strong>is an Associate Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University (ASU). His research interests include data analytics with a special emphasis on time-synchronized measurements, artificial intelligence applications in power systems, renewable generation integration studies, and critical infrastructure resilience. Dr. Pal has received the 2018 Young CRITIS Award for his contributions to the field of critical infrastructure protection, the 2019 Outstanding Young Professional Award from the IEEE Phoenix Section, the National Science Foundation CAREER Award in 2022, and the 2023 Centennial Professorship Award from ASU.</div><div><br></div><div>Host:<strong> <a href="https://rajanguluri.github.io/" rel="nofollow external" class="bo">Rajasekhar Anguluri</a></strong></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>Machine Learning based Voltage Monitoring in  Real-time Unobservable Distribution Systems     Prof. Anamitra Pal, Arizona State University     10:30-11:30am ET, Thursday, May 23, 2024  UMBC, 325b...</Summary>
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<PostedAt>Fri, 17 May 2024 14:04:29 -0400</PostedAt>
<EditAt>Fri, 17 May 2024 14:07:16 -0400</EditAt>
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<NewsItem contentIssues="true" id="141999" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/141999">
<Title>AI Lunchbox: AI, misinformation &amp; disinformation, 12-1 5/16</Title>
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<![CDATA[
    <div class="html-content"><p><span><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/05/AI_disinfo.webp" style="max-width: 100%; height: auto;"></span></p><p><span>This week's </span>UMBC Training Centers <span>AI Lunchbox session is on how new AI systems spread both misinformation and  disinformation. </span><strong><a href="https://en.wikipedia.org/wiki/Misinformation" rel="nofollow external" class="bo"><span>Misinformation</span></a><span> </span></strong><span>is incorrect or misleading information that can include inaccurate, incomplete, </span><span>misleading</span><span>, or false information and selective or half-truths but </span><span>is distributed</span><span> without the intention to mislead.  </span><strong><a href="https://en.wikipedia.org/wiki/Disinformation" rel="nofollow external" class="bo">Disinformation</a></strong><span> is false information deliberately spread to deceive people.</span></p><p><span>AI systems have evolved dramatically to the point where anyone can emulate another person's speech, language, and image at little to no cost. A significant downside is the explosion of content meant to deceive others. </span></p><p><span>Join the UMBC Training Centers for this free</span><span> lunchtime session as <strong><a href="https://www.linkedin.com/in/ed-melick-7a683/" rel="nofollow external" class="bo">Ed Melick</a></strong></span> examines AI disinformation/misinformation and what you can do to inform and protect yourself.</p><p><span>Register <a href="https://www.meetup.com/c4a-ai/events/300438326/" rel="nofollow external" class="bo"><strong>here</strong></a> for this session, 12-</span><span>1pm</span><span> ET Thursday, May 16, 2024.<br></span></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>This week's UMBC Training Centers AI Lunchbox session is on how new AI systems spread both misinformation and  disinformation. Misinformation is incorrect or misleading information that can...</Summary>
<Website>https://www.meetup.com/c4a-ai/events/300438326/</Website>
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<PostedAt>Wed, 15 May 2024 10:36:33 -0400</PostedAt>
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<NewsItem contentIssues="true" id="141989" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/141989">
<Title>Prof. Adali honored as UMBC Presidential Research Professor</Title>
<Tagline>Leads Machine Learning for Signal Processing Laboratory</Tagline>
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    <div class="html-content"><div><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/05/UMBC_PRP_2024_2.jpg" style="max-width: 100%; height: auto;"></div><div><p><span><br></span></p><p><span>Every year, UMBC honors a faculty member with the Presidential Research Professor Award. CSEE professor <a href="https://www.csee.umbc.edu/people/faculty/tulay-adali/" rel="nofollow external" class="bo"><strong>Tülay Adali</strong></a> was selected this year as UMBC's Presidential Research Professor for 2024-2027.</span></p><p><span>Professor Adali received the Ph.D. in electrical engineering from North Carolina State University, Raleigh, NC, in 1992 and joined the UMBC’s faculty the same year.  In 2015, she was named a Distinguished University Professor in recognition of her </span><span>outstanding contributions to statistical signal processing and machine learning and excellence in teaching and mentoring the next generation of engineers and scholars who continue to advance the field of signal processing and machine learning.</span></p><p><span>Dr. Adali's commitment to her professional community is evident in her diverse roles and responsibilities. She currently serves as Editor-in-Chief of the prestigious IEEE Signal Processing Magazine and has held significant positions such as the Chair of the IEEE Brain Technical Community and the IEEE Signal Processing Society Vice President for Technical Directions from 2019 to 2022. Her professional involvement includes the organization of many conferences and workshops, including the IEEE International Conference on Acoustics, Speech, and Signal Processing, where she has served in various capacities.</span></p><p><span>Professor Adali is a Fellow of the IEEE, AIMBE, and AAIA, a Fulbright Scholar, and an IEEE SPS Distinguished Lecturer. She has received the SPS Meritorious Service Award, Humboldt Research Award, IEEE SPS Best Paper Award, the SPIE Unsupervised Learning and ICA Pioneer Award, the University System of Maryland Regents' Award for Research, and the NSF CAREER Award.</span></p><p><span>Her current research interests are in the areas of statistical signal processing, machine learning, and applications in medical image analysis and fusion.</span></p><p><span>Dr. Adali leads the <strong><a href="https://mlsp.umbc.edu/" rel="nofollow external" class="bo">Machine Learning for Signal Processing laboratory</a></strong>, and primarily with support from the NSF and the NIH, she and her research associates, research students, and network of collaborators develop theory and tools for processing signals that arise in today's growing array of applications and pose challenges for traditional signal processing techniques with a focus on medical image analysis and fusion.</span></p></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>Every year, UMBC honors a faculty member with the Presidential Research Professor Award. CSEE professor Tülay Adali was selected this year as UMBC's Presidential Research Professor for 2024-2027....</Summary>
<Website>https://mlsp.umbc.edu/</Website>
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<Sponsor>UMBC AI</Sponsor>
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<PostedAt>Tue, 14 May 2024 20:45:57 -0400</PostedAt>
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