Building and managing hardware infrastructure in the Cloud plays a critical role in the development of AI training models. It provides the essential resources needed to handle the complexity, scale, and computational demands of these workloads. In this session, we will provide an overview on the hardware infrastructure that powers AI training models and the challenges that arise within the Cloud environment. The discussion will begin from building the infrastructure to generating the model, and finally, to the creation of business value. The complimentary series on AI will be recorded for on demand access. Please register (to attend or to get link to recorded version) ================ Overall series The IEEE AI Coalition has organized a series of live webinars centered around the various topics of AI. Each webinar is composed of expert speakers that may cover both the technical aspects of AI as well as socio-economic, ethical, legal, and other implications with AI. The IEEE AI Coalition is a collective of representatives from across IEEE who have come together with a shared purpose: to consolidate all of IEEE’s AI content into a cohesive platform and foster a robust network for AI-related resources. Our mission encompasses three key objectives: Classify and Index AI Work: We diligently organize and categorize AI-related work from across IEEE, ensuring that it is accessible in one centralized area. By doing so, we aim to bridge any gaps and facilitate seamless exploration of AI research, applications, and insights. Enhancing IEEE Services with AI: We explore how artificial intelligence can enhance the services provided by IEEE. Whether it’s optimizing processes, improving member experiences, or advancing technical publications, we strive to leverage AI effectively. Long-Term Vision: The AI Coalition is committed to developing a forward-thinking, long-term vision for the integration of AI within IEEE. We envision a future where AI-driven innovations empower our members, drive societal progress, and shape the technological landscape. Join us on this transformative journey as we unlock the potential of AI within IEEE and the world! Co-sponsored by: IEEE Future Tech Forum series on AI. Speaker(s): Christine, Emma, Sam Virtual: https://events.vtools.ieee.org/m/477913

Details coming soon Speaker(s): Dr. Francis (Jayme) Manning, Bldg: School of Engineering, Technology and Aeronautics, 2500 North River Road, Manchester, New Hampshire, United States, 03106

Kourosh K. Taheri, Ph.D. Andrew Strikwerda, Ph.D. (Technical Sales Manager, Energy) (Applications Manager, Electromagnetics) Abstract COMSOL Multiphysics® is a general-purpose simulation software used in all fields of engineering, manufacturing, and scientific research. The software brings fully coupled Multiphysics and single-physics modeling capabilities, model management, and user-friendly tools for building simulation applications. All add-on products from the product suite connect seamlessly with COMSOL Multiphysics® for a modeling workflow that remains the same regardless of what you are modeling. The Uncertainty Quantification Module, an add-on to the COMSOL Multiphysics® software, is designed to address the limitations of deterministic simulations by incorporating the inherent uncertainties found in real-world applications. Simulations typically assume that input data are fixed, and outputs can be computed with high accuracy. However, this deterministic approach does not account for the variability present in practical scenarios such as manufacturing processes, where significant uncertainty exists. The Uncertainty Quantification Module offers a uniform interface for screening, sensitivity analysis, uncertainty propagation, reliability analysis, and inverse UQ. It can be integrated with other COMSOL products to enable uncertainty analysis in electromagnetics, structural mechanics, acoustics, fluid dynamics, heat transfer, and chemical engineering simulations. In this presentation, we will first introduce the COMSOL Multiphysics software and demonstrate the workflow by constructing a simple proof of concept model. We will then discuss the Uncertainty Quantification Module, and how it can be incorporated into a Multiphysics simulation. Agenda: PLEASE NOTE THE NEW 5PM START TIME FOR THIS MEETING 5:00 PM Networking and light dinner 5:30 PM Technical Presentation 7:00 PM Questions and Answers 7:15 PM Informal Q&A and networking 7:30 PM Adjournment Bldg: Main Cafeteria, Lincoln Laboratory, 244 Wood St, Lexington, Massachusetts, United States, 02421, Virtual: https://events.vtools.ieee.org/m/475215

Kourosh K. Taheri, Ph.D. Andrew Strikwerda, Ph.D. (Technical Sales Manager, Energy) (Applications Manager, Electromagnetics) Abstract COMSOL Multiphysics® is a general-purpose simulation software used in all fields of engineering, manufacturing, and scientific research. The software brings fully coupled Multiphysics and single-physics modeling capabilities, model management, and user-friendly tools for building simulation applications. All add-on products from the product suite connect seamlessly with COMSOL Multiphysics® for a modeling workflow that remains the same regardless of what you are modeling. The Uncertainty Quantification Module, an add-on to the COMSOL Multiphysics® software, is designed to address the limitations of deterministic simulations by incorporating the inherent uncertainties found in real-world applications. Simulations typically assume that input data are fixed, and outputs can be computed with high accuracy. However, this deterministic approach does not account for the variability present in practical scenarios such as manufacturing processes, where significant uncertainty exists. The Uncertainty Quantification Module offers a uniform interface for screening, sensitivity analysis, uncertainty propagation, reliability analysis, and inverse UQ. It can be integrated with other COMSOL products to enable uncertainty analysis in electromagnetics, structural mechanics, acoustics, fluid dynamics, heat transfer, and chemical engineering simulations. In this presentation, we will first introduce the COMSOL Multiphysics software and demonstrate the workflow by constructing a simple proof of concept model. We will then discuss the Uncertainty Quantification Module, and how it can be incorporated into a Multiphysics simulation. Agenda: PLEASE NOTE THE NEW 5PM START TIME FOR THIS MEETING 5:00 PM Networking and light dinner 5:30 PM Technical Presentation 7:00 PM Questions and Answers 7:15 PM Informal Q&A and networking 7:30 PM Adjournment Bldg: Main Cafeteria, Lincoln Laboratory, 244 Wood St, Lexington, Massachusetts, United States, 02421, Virtual: https://events.vtools.ieee.org/m/475215