Salva Rühling Cachay
@salvarc7.bsky.social
ML PhD student at UC San Diego. Into AI for Science, especially climate & weather.
https://salvarc.github.io/
https://salvarc.github.io/
Reposted by Salva Rühling Cachay
Internship in our group at Mila in reinforcement learning + graphs for reducing energy use in buildings.
More info and submit an application by Jan 13 here:
forms.gle/TCChXnvSAHqz...
Questions? Email donna.vakalis@mila.quebec with [intern!] in the subject line.
More info and submit an application by Jan 13 here:
forms.gle/TCChXnvSAHqz...
Questions? Email donna.vakalis@mila.quebec with [intern!] in the subject line.
January 10, 2025 at 1:14 AM
Internship in our group at Mila in reinforcement learning + graphs for reducing energy use in buildings.
More info and submit an application by Jan 13 here:
forms.gle/TCChXnvSAHqz...
Questions? Email donna.vakalis@mila.quebec with [intern!] in the subject line.
More info and submit an application by Jan 13 here:
forms.gle/TCChXnvSAHqz...
Questions? Email donna.vakalis@mila.quebec with [intern!] in the subject line.
Come talk to us tomorrow at Poster session 3: Thursday 11am-2pm at East Hall A-C #3905!
(Or ping me if you'd like to chat outside of the poster session!)
(Or ping me if you'd like to chat outside of the poster session!)
Computer scientists at UC San Diego and the Allen Institute for AI have developed a new climate model—combining generative AI and physics data—that is capable of predicting climate patterns 25 times faster than the state of the art. ➡️ bit.ly/3ZByZbc
#AI #Research #Climate
#AI #Research #Climate
December 12, 2024 at 12:12 AM
Come talk to us tomorrow at Poster session 3: Thursday 11am-2pm at East Hall A-C #3905!
(Or ping me if you'd like to chat outside of the poster session!)
(Or ping me if you'd like to chat outside of the poster session!)
Reposted by Salva Rühling Cachay
The new ACE2 climate emulator from Oliver Watt-Meyer et al has very compelling results, with results that look comparable to NeuralGCM. Congrats to the AI2 team!
arxiv.org/abs/2411.112...
arxiv.org/abs/2411.112...
ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses
Existing machine learning models of weather variability are not formulated to enable assessment of their response to varying external boundary conditions such as sea surface temperature and greenhouse...
arxiv.org
November 21, 2024 at 6:47 PM
The new ACE2 climate emulator from Oliver Watt-Meyer et al has very compelling results, with results that look comparable to NeuralGCM. Congrats to the AI2 team!
arxiv.org/abs/2411.112...
arxiv.org/abs/2411.112...
Reposted by Salva Rühling Cachay
I made a starter pack for those working in or adjacent to Machine Learning for Earth System Modeling! Apologies if I forgot anyone, and feel free to suggest people to add :)
go.bsky.app/C5DQNCe
go.bsky.app/C5DQNCe
November 16, 2024 at 5:17 AM
I made a starter pack for those working in or adjacent to Machine Learning for Earth System Modeling! Apologies if I forgot anyone, and feel free to suggest people to add :)
go.bsky.app/C5DQNCe
go.bsky.app/C5DQNCe