Nvidia meets the UNIPV community at large to present the opportunities offered by the NVIDIA AI Technology Center (NVAITC). The meeting hosts a talk on “Physics Informed Neural Networks”.

The meeting is scheduled on 7/6/2024 at 10.00 and the tentative location is room “Magenta” of “DIII Dipartimento di Ingegneria Industriale e dell’Informazione”. Interest people are kindly requested to confirm participation through pre-registration so that the final location can be set on the basis of the expected audience. All pre-registered applicants will receive an email few days in advance of the event, with proper confirmation and instructions. Please, feel free to share the link to the registration form (you need not log in with a Google account).


  • NVAITCis a program to enable and accelerate AI research projects in Italy, focusing expertise and resources on specific research projects. The program is a national-level collaboration centered around project-based collaborations with institutions within the CINI network (among which UNIPV) and fosters the collaboration of the Italian Computing Facility, CINECA. It aims at enabling academic institutions at all levels to conduct their research more efficiently by collaborating into research projects, training students, nurturing startups and spreading adoption of the latest AI technology throughout Italy.

SpeakerFrédéric Parienté (he/him) is a senior manager in the Solutions Architecture and Engineering group at NVIDIA and the director for the NVIDIA AI Technology Center (NVAITC) in EMEA. NVAITC partners with research communities and supercomputing centers, to enable and accelerate AI research, education and adoption in a region as well as foster scientific collaborations across the NVAITC network. Frédéric first joined NVIDIA as a market development manager for Accelerated Computing in 2015. Previously, he spent 18 years at Sun Microsystems–Oracle as a performance software engineer and was the regional Director of ISV Engineering when he left Oracle in 2015. Frédéric graduated in General Engineering from ENSTA Paris, Mechanical Engineering from University of Illinois and Finance from Université Paris Dauphine.

  • Physics Informed Neural Networks
    This talk delves into the transformative impact of AI on scientific research, spotlighting NVIDIA’s Modulus framework. As a pioneering tool, Modulus employs physics-informed neural networks to model parameterised physical systems with state-of-the-art efficiency. We will explore how this cutting-edge technology is propelling forward scientific inquiry, enabling researchers to tackle challenges previously deemed insurmountable. Attendees will gain insights into the future of AI-driven science, marked by the innovative applications of Modulus in various research fields.

SpeakerNiki Loppi is an AI/HPC solutions architect at NVIDIA, helping academic researchers to leverage NVIDIA’s technology stack through the NVIDIA AI Technology Center program. Prior to joining NVIDIA, he worked as a researcher in the Department of Aeronautics at Imperial College London, where he also obtained his PhD in Computational Fluid Dynamics. Specifically, his research focused on the development of high-order accurate numerical methods for solving large-scale incompressible fluid flow problems using massively parallel modern GPU architectures.