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Tuesday, February 4, 2025 10:00 am - 11:00 am EST (GMT -05:00)

NVIDIA Lecture: Tools for safety and security in Large Language Models

Christopher Parisien, Senior Manager of Applied Research at NVIDIA, will deliver the NVIDIA Lecture hosted by Math Innovation, with support from MFCF, on February 4, 2025, from 10:00-11:00am in MC 5501. A UW grad (BMath '06) with a PhD in Computational Linguistics from the University of Toronto. During his time in industry, he helped build the first generation of mainstream chatbots, developed systems to understand medical records, and served as Chief Technology Officer at NexJ Health, a patient-centred health platform. His current focus at NVIDIA is to bring trustworthy language models to large enterprises. The lecture will introduce NeMo Guardrails' key functionalities, emphasizing responsible AI development. Students interested in AI, Machine Learning, and Foundation Models can gain insights into creating reliable AI solutions. Registration is required. Questions can be directed to Alexandra Kraushaar in the Math Innovation Office.

Wednesday, February 12, 2025 10:00 am - 11:00 am EST (GMT -05:00)

NVIDIA Lecture: Solving complex, physics-based problems through accelerating computing solutions

Tarini Bhatnagar, Senior Solutions Architect at NVIDIA, will lead the NVIDIA Lecture hosted by Math Innovation, with support from MFCF, on February 12, 2025, from 10:00-11:00am in MC 5501. Tarini, who holds a Master’s in Data Science and Earth & Environmental Science, supports technical customer engagements in Western Canada, helping organizations adopt NVIDIA technology. She is actively involved with several organizations to foster a supportive community for women in tech. The lecture will focus on NVIDIA Modulus, an open-source framework for developing physics-informed neural networks (PINNs). Students passionate about AI, Machine Learning, and Computational Physics will explore how Modulus solves complex, physics-based problems through AI. The lecture will introduce solving complex, physics-based problems using accelerated computing solutions and AI. Registration is required. Questions can be directed to Alexandra Kraushaar in the Math Innovation Office.