SOURCE-LINKED INTELLIGENCE

Challenging AI with Challenges from Physics: How to solve fundamental problems in Physics by AI and vice versa

CORDIS · observation · Publication date unknown

ute by solving 1) highly ill-posed inverse problems using physics models, 2) handling uncertainties, rare events and give reliable error bounds, and finally, 3) to be able to give explanations of the machine learning results in terms of physics ontologies and models. This highly challenging research agenda is tackled by 9 internationally recognized and leading researchers from both physics and computer science, from 5 universities in 5 European countries, all being member of the 4EU+ Alliance of European Universities. Over 4EU+ an excellent infrastructure for unique training opportunities is available to enable the research fellows to reach the ambitious goals, on one hand side and to educate them in critical and innovative thinking, management and social skills to prepare them optimally for leading positions in academics and industry. Machine Learning, Inverse Problems, Physics Informed Neural Networks, Uncertainty Quantification, Explainable AI

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recordType

award

status

SIGNED

region

EU

value

1907128.8

unit

EUR