Simulating the Universe with Machine Learning
Event Start:
2019-11-14T16:00:00
Event End:
2019-11-14T17:00:00
Event Information:
The ever-increase need for accurate prediction for complex non-linear processes leads to large scale dynamical systems whose simulations and analysis make overwhelming and unmanageable demands on computational resources. The evolution of the Universe is one of these complex processes that the computational cost of the traditional full-order numerical simulations is extremely prohibitive.
Event Location:
Hennings 201
Speaker:
Shirley Ho (Flatiron/Princeton)
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Event Start:
2019-11-14T16:00:00
Event End:
2019-11-14T17:00:00
Simulating the Universe with Machine Learning
Event Information:
The ever-increase need for accurate prediction for complex non-linear processes leads to large scale dynamical systems whose simulations and analysis make overwhelming and unmanageable demands on computational resources. The evolution of the Universe is one of these complex processes that the computational cost of the traditional full-order numerical simulations is extremely prohibitive.
Event Location:
Hennings 201