
Ethics in the 4IR
Data Science Across Disciplines 17:00 – 18:30 Thursdays: 3, 10 and 17 August 2023 Register here This webinar series explores the ethical challenges and considerations
UJ Institute for the Future of Knowledge
Partial Differential Equations (PDEs) with very high-dimensional state and/or parameter spaces arise in a wide variety of contexts ranging from computational chemistry and finance to many-query problems in various areas of science and engineering. This lecture was on surveying recent results on the use of deep neural networks in computing these high-dimensional PDEs. Focus was on two different aspects: the use of supervised deep learning, in the form of both standard deep neural networks as well as recently proposed DeepOnets, for efficient approximation of many-query PDEs; and the use of physics informed neural-networks (PINNs) for the computation of forward and inverse problems for PDEs with high-dimensional state spaces. The speaker was Professor Siddhartha Mishra, a Professor of Computational Applied Mathematics at ETH Zurich, Switzerland, the Director of Computational Science Zurich, and an associate faculty member at the ETH Artificial Intelligence Center.
Data Science Across Disciplines 17:00 – 18:30 Thursdays: 3, 10 and 17 August 2023 Register here This webinar series explores the ethical challenges and considerations
Data Science Across Disciplines 09:00 – 17:00 Monday, 10 July 2023 – Thursday, 13 July 2023 Register here Message from the organizers The theme of
Data Science Across Disciplines Wednesday 2 November 2023 Register here Data Science Across Disciplines (DSAD), a research group within the University of Johannesburg’s Institute for
Data Science Across Disciplines 17:00 – 18:30 Thursdays: 3, 10 and 17 August 2023 Register here This webinar series explores the ethical challenges and considerations
Data Science Across Disciplines 09:00 – 17:00 Monday, 10 July 2023 – Thursday, 13 July 2023 Register here Message from the organizers The theme of
Data Science Across Disciplines Wednesday 2 November 2023 Register here Data Science Across Disciplines (DSAD), a research group within the University of Johannesburg’s Institute for