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Segev Wasserkug - Democratizing Optimization Modeling: Status, Challenges, and Future Directions
Presenter
- Segev Wasserkug
February 28, 2023
IPAM
Maxim Ziatdinov - Bits and Atoms: Exploring the Intersection of Machine Learning and Microscopy
Presenter
- Maxim Ziatdinov
January 27, 2023
IPAM
Rafael Gomez Bombarelli - End-to-end learning and auto-differentiation: forces, uncertainties, etc.
Presenter
- Rafael Gomez-Bombarelli
January 24, 2023
IPAM
Artificial intelligence with uncertainty quantification can plug gaps in climate science and inform multi sector resilience
Presenter
- Auroop Ganguly
October 31, 2022
IMSI
Michael Levin - Structural and functional plasticity without genetic change: from bioelectric embryos to synthetic proto-organisms
Presenter
- Michael Levin
February 17, 2022
IPAM
Melanie Mitchell - Abstraction and Analogy in Artificial Intelligence
Presenter
- Melanie Mitchell
February 15, 2022
IPAM
A Stressful Tour of the COVID-19 Issue of the Harvard Data Science Review
Presenter
- Xiao-Li Meng
May 18, 2021
IMSI
Deep Learning: Triangle Machine Learning Day - Adaptive Deep Reuse for Deep Learning, Xipeng Shen
September 20, 2019
SAMSI
Noise and Intelligence in intracellular gene-regulatory networks
Presenter
- Alexey Zaikin
January 25, 2016
MBI
Incidence geometry and applications to theoretical computer science
Presenter
- Shubhangi Saraf
May 20, 2014
IPAM