DISCUSSION MEETING

WORKSHOP ON INVERSE PROBLEMS AND RELATED TOPICS (ONLINE)

ORGANIZERS: Rakesh (University of Delaware, USA) and Venkateswaran P Krishnan (TIFR-CAM, India)

DATE: 25 October 2021 to 29 October 2021

VENUE: Online

This week-long program will consist of several lectures by experts on different types of inverse problems and the underlying basic techniques to understand them. The targeted audience for these lectures are Master's and PhD students, and researchers with a strong background in PDEs. Prior experience of research in inverse problems will not be assumed.

The topics that we cover during this week-long program are:

1. Calderon problem.
2. Fractional Calderon problem.
3. Geometric inverse problems.
4. Integral geometry problems.
5. Inverse problems for Maxwell's equations.
6. Inverse problems involving non-linear equations.
7. Inverse problems for hyperbolic and transport equations.
8. Probabilistic inverse problems.
9. Machine Learning approaches in inverse problems.

CONTACT US: [email protected]
PROGRAM LINK: https://www.icts.res.in/discussion-meeting/ip2021

The progress of AI research will be closely tied to innovations in hardware.
Facebook's Chief AI Scientist Yann LeCun describes how advances in deep learning (DL) research will influence the hardware architecture of the future.
LeCun says the demand for DL-specific hardware will likely only increase. New architectural concepts such as dynamic networks, associative-memory structures, and sparse activations will affect the type of hardware architecture that will be required in the future.

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