DLRG – MLOps – 3
TrAC DLRG Mini-course on MLOps (class 3/3) In this mini-course, we will cover DevOps and best practices for training, monitoring, and deploying deep learning models.
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TrAC Seminar Series – Iro Armeni
Title: Living Scenes: Creating and updating digital twins of evolving indoor scenes Abstract Buildings are like living organisms, i.e., they evolve over time due to interaction with natural phenomena and humans. How can we realistically maintain their digital twins throughout their lifespan? Or else, how can we maintain a living building model as the space is […]
Federated Learning – 1
TrAC ADLRG Mini-course on Federated Learning (class 1/3) In this mini-course, we will cover concepts in Federated Learning.
TrAC Spring All-Hands Meeting
Student Innovations CenterTrAC Student Journal Club – Timilehin Ayanlade
Title: Unified Training of Universal Time Series Forecasting Transformers
TrAC Seminar Series – Seyed Vahid Mirnezami
Title: Transforming AI Practices: From Data Generation to Automated MLOps Abstract Agility enables swift adaptation to changing market needs and new technologies. Moreover, mature AI utilization necessitates a strategic shift, focusing on incorporating AI into core business operations to boost efficiency and drive innovation. Increasing agility and harnessing the power of mature AI, this presentation […]
ADLRG – Federated Learning – 2
TrAC ADLRG Mini-course on Federated Learning (class 2/3) In this mini-course, we will cover concepts in Federated Learning.
TrAC Seminar Series – Jinlong Wu
Title: Operator learning for data-driven closure models of complex dynamical systems Abstract Closure models are widely used in simulating complex multiscale dynamical systems such as turbulence and Earth’s climate, for which direct numerical simulation that resolves all scales is often too expensive. For those systems without a clear scale separation, deterministic and local closure models […]
ADLRG – Federated Learning – 3
TrAC ADLRG Mini-course on Federated Learning (class 3/3) In this mini-course, we will cover concepts in Federated Learning.
Deep Dive into AI
Welcome to the TrAC Bootcamp on "Deep Dive into AI" Get ready for a hands-on, four-day journey into the world of Artificial Intelligence at our upcoming TrAC Bootcamp. Whether you're a student, professional, or just curious about AI, this bootcamp is designed to give you a comprehensive introduction to the field. Dates: June 4-7, 2024Time: […]