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DTSTART;TZID=America/Chicago:20260424T100000
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SUMMARY:Topic Modeling & Discovery Workshop
DESCRIPTION:Participants will learn how to identify latent themes in large text collections using unsupervised machine learning and how to interpret and validate these findings. It will be one hour of theory and explanation of the concepts\, and the last hour will be hands-on practice in Python. Key topics include: Unsupervised learning\, topic modeling concepts\, Latent Dirichlet Allocation (LDA) intuition and implementation\, choosing the number of topics (K)\, using coherence metrics and interpretability\, systematic topic interpretation for words\, documents\, and labels\, evaluating topic quality and distinctiveness with Document-level and corpus-level topic analysis recall\, F1-score\, and confusion matrices\, and much more!
URL:https://tamids.tamu.edu/2026/02/13/text-mining-workshop-series/
CATEGORIES:TAMIDS Event,Workshop
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260427T140000
DTEND;TZID=America/Chicago:20260427T150000
DTSTAMP:20260424T041545
CREATED:20260327T193412Z
LAST-MODIFIED:20260421T204639Z
UID:19998-1777298400-1777302000@tamids.tamu.edu
SUMMARY:Seminar Series: Truman Brown\, Google Consultant
DESCRIPTION:Truman Brown is a Red Team Consultant at Mandiant (Google Cloud)\, specializing in high-end web application\, API\, and AI-integration assessments. Since joining Google in 2023\, he has served as the Technical Lead for 76 high-stakes engagements\, delivering strategic security insights for a diverse portfolio of clients ranging across the Fortune 500. A specialist in advanced adversary emulation\, Truman was the lead developer and architect of a global Browser-in-the-Middle (BITM) platform used across the Mandiant Red Team. His research into session hijacking and automated proxying has been featured in a Google Cloud threat intelligence blog post\, cementing his reputation for scaling complex attack vectors.  \n\n\n\n\nLocation: Blocker 220 and Zoom \n\n\n\nZoom ID: 974 9688 4861Passcode: 923446 \n\n\n\n\n\n\n\nAI Vulnerabilities Across Web Applications\n\n\n\nThis presentation addresses the critical gap caused by the exponential rate of AI adoption outpacing standard security protocols. Because Large Language Models function as opaque\, probabilistic systems\, they fundamentally disrupt legacy security paradigms. We will examine these primary vulnerabilities across three domains:  \n\n\n\nThe Input Problem\, focusing on Prompt Injection\, where cleverly crafted inputs manipulate the model’s instructions (including the silent threat of Indirect Injection hidden in untrusted data). The Output Problem\, which requires all LLM-generated content to be treated as untrusted to prevent attacks like Cross-Site Scripting (XSS) and SQL Injection\, and avoids legal liability for “hallucinations\,” and The Foundational Problem\, dealing with risks baked into the model itself like Training Data Poisoning and Supply Chain Vulnerabilities. To mitigate these risks\, a multi-layered\, Zero Trust\, Defense-in-Depth approach is necessary\, which includes Input Filtering (Prompt Firewalls)\, Output Sanitization\, Tool Sandboxing (applying Least Privilege)\, and a Human-in-the-Loop failsafe for all critical or irreversible actions. \n\n\n\n\n\n\n\nSeminar Flyer427Download
URL:https://tamids.tamu.edu/event/seminar-series-truman-brown-google-consultant/
CATEGORIES:TAMIDS Event
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260429T140000
DTEND;TZID=America/Chicago:20260429T170000
DTSTAMP:20260424T041545
CREATED:20260329T155544Z
LAST-MODIFIED:20260421T204646Z
UID:19988-1777471200-1777482000@tamids.tamu.edu
SUMMARY:Spring 2026 Scientific Machine Learning Workshop
DESCRIPTION:Location: Blocker 220 Time: 2:00–5:00 pm \n\n\n\nWe are excited to invite you back to our one-day Scientific Machine Learning Workshop\, where you’ll have the opportunity to delve into the latest advancements and applications of AI\, machine learning\, and data science in scientific research. This workshop is designed for students\, researchers\, and faculty\, offering a comprehensive overview of cutting-edge techniques\, hands-on sessions\, and insightful discussions led by Texas A&M’s leading experts. \n\n\n\nNo Registration Required. \n\n\n\nWe look forward to seeing you there! \n\n\n\n\n\n\n\nSpeakers\n\n\n\n\nLuís Loo\, Doctoral Student\, Electrical Engineering\n\n\n\nTripp Cator\, Doctoral Student\, Computer Engineering\n\n\n\nGesa Chen\, Postdoctoral Researcher\, SciML Lab\n\n\n\nUlisses Braga-Neto\, Director\, SciML Lab \n\n\n\nAttila Luna\, Director of Academic Technology\, School of Public Health\n\n\n\nDanilo Silva\, Visiting Researcher\, SciML Lab \n\n\n\nJian Tao\, Director\, Digital Twin Lab\n\n\n\nTBD\, Materials Science & Engineering\n\n\n\nTBD\, Petroleum Engineering\n\n\n\n\n\n\n\n\nOrganizers\n\n\n\nUlisses Braga-NetoTAMIDS SciML Lab DirectorProfessor\, Electrical and Computer Engineering ulisses@tamu.edu
URL:https://tamids.tamu.edu/event/spring-2026-scientific-machine-learning-workshop/
CATEGORIES:TAMIDS Event
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260507T083000
DTEND;TZID=America/Chicago:20260507T173000
DTSTAMP:20260424T041545
CREATED:20260407T181540Z
LAST-MODIFIED:20260416T183222Z
UID:19969-1778142600-1778175000@tamids.tamu.edu
SUMMARY:NVIDIA Workshop: Adding Knowledge to LLMs
DESCRIPTION:Large Language Models (LLMs) are powerful\, but their knowledge is often general-purpose and may lack the specific\, up-to-date\, or specialized information required for enterprise applications. This workshop provides a comprehensive\, hands-on guide to the essential techniques for augmenting and customizing LLMs.  \n\n\n\nLocation: ILCB 226Lunch will be provided! \n\n\n\n\n\n\nRegister here.\n\n\n\n\n\n\n\nCourse Details\n\n\n\n\n\n\n\n\n\n\nNVIDIA Workshop Flyer – May 7 2026Download
URL:https://tamids.tamu.edu/event/nvidia-workshop-adding-knowledge-to-llms/
CATEGORIES:GenAI Literacy,TAMIDS Event
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