COgITOR Readings PodCast
4. Marco Crepaldi: Computing With Ferrofluids: Observing A Complex Dynamics
The COgITOR Readings Committee is releasing the presentations in form of podcasts to the broad audience.
In his talk, Dr. Crepaldi proposes an innovative path towards establishing a digital twin of the colloid electrodynamics based on an artificial neural network. The consequences of such visionary idea is that artificial intelligence could be trained with the raw experimental measurements collected in the last years to create a comprehensive model, that later could be made free to access, making available to the broader community a precious resource.
The COgITOR project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 964388. This podcast reflects only the author's view and that the European Commission is not responsible for any use that may be made of the information it contains.
In his talk, Dr. Crepaldi proposes an innovative path towards establishing a digital twin of the colloid electrodynamics based on an artificial neural network. The consequences of such visionary idea is that artificial intelligence could be trained with the raw experimental measurements collected in the last years to create a comprehensive model, that later could be made free to access, making available to the broader community a precious resource.
The COgITOR project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 964388. This podcast reflects only the author's view and that the European Commission is not responsible for any use that may be made of the information it contains.
- Broadcast on:
- 21 Nov 2024
The COgITOR Readings Committee is releasing the presentations in form of podcasts to the broad audience.
In his talk, Dr. Crepaldi proposes an innovative path towards establishing a digital twin of the colloid electrodynamics based on an artificial neural network. The consequences of such visionary idea is that artificial intelligence could be trained with the raw experimental measurements collected in the last years to create a comprehensive model, that later could be made free to access, making available to the broader community a precious resource.
The COgITOR project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 964388. This podcast reflects only the author's view and that the European Commission is not responsible for any use that may be made of the information it contains.
In his talk, Dr. Crepaldi proposes an innovative path towards establishing a digital twin of the colloid electrodynamics based on an artificial neural network. The consequences of such visionary idea is that artificial intelligence could be trained with the raw experimental measurements collected in the last years to create a comprehensive model, that later could be made free to access, making available to the broader community a precious resource.
The COgITOR project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 964388. This podcast reflects only the author's view and that the European Commission is not responsible for any use that may be made of the information it contains.