astro-ai
@astro_ai_cfa
Followers
528
Following
97
Media
53
Statuses
123
AstroAI is a center for astrophysical artificial intelligence/machine learning at the @CenterForAstro.
Cambridge, MA
Joined May 2023
We are hiring a postdoctoral fellow! Are you interested in applying AI methods to the physical sciences? Do you enjoy working in a vibrant research environment and interacting with experts in Physics, Astronomy, and Computer Science? Come work with us! https://t.co/Q5JZSrbz2R
0
3
7
We are hiring a postdoctoral fellow! Are you interested in applying AI methods to the physical sciences? Do you enjoy working in a vibrant research environment and interacting with experts in Physics, Astronomy, and Computer Science? Come work with us! https://t.co/Q5JZSrbz2R
0
3
7
Thanks to all participants for a very rewarding experience at the #AstroAI workshop this week at @CenterForAstro
0
2
10
Marc Huertas-Company is our keynote speaker today talking about Representation Learning and SBI for Astrophysics!
0
0
10
Vivana Acquaviva opening the fourth day of the AstroAI Workshop on Interpretability!
0
1
18
Lis Sylvan delivering a wonderful interactive presentation about Responsible AI in Research, at the AstroAI Workshop.
0
0
4
So excited about this super engaged audience!
We are kicking out the 2nd AstroAI workshop today at @centerforastro. Looking forward to a week of learning.
0
1
8
We are kicking out the 2nd AstroAI workshop today at @centerforastro. Looking forward to a week of learning.
1
2
11
Javier Roulet delivering the inaugural AstroAI Summer Seminar about SBI for gravitational waves.
0
1
11
Paper day at AstroAI. Great work by Yanke Song, Ashley Villar, Rafael Martinez and Steven Dillman. Check it out!
We submitted a paper presenting the Poisson Process Autodecoder, a neural field that maps fixed-length latent features to continuous Poisson rate functions, starting from X-ray photon events. It enables regression, classification, and anomaly detection. https://t.co/b6xb50irW1
0
2
14
Paper day at AstroAI. Great work by Yanke Song, Ashley Villar, Rafael Martinez and Steven Dillman. Check it out!
We submitted a paper presenting the Poisson Process Autodecoder, a neural field that maps fixed-length latent features to continuous Poisson rate functions, starting from X-ray photon events. It enables regression, classification, and anomaly detection. https://t.co/b6xb50irW1
0
2
14
Happy to share that our director, @cecigarraffo, has been awarded a Presidential Early Career Award for Scientists and Engineers (PECASE), the highest honor bestowed by the U.S. government on outstanding scientists and engineers early in their careers. https://t.co/6ZFXW3PYJO
1
5
25
Yesterdat at the AstroAI lunch seminar we had David Vartanyan (Carnegie) talking about how ML can help understand the explosions of core-collapse supernovae, and Congyue Deng (Stanford) telling us about how equivariance can be implemented in neural networks.
1
2
10
Yesterdat at the AstroAI lunch seminar we had David Vartanyan (Carnegie) talking about how ML can help understand the explosions of core-collapse supernovae, and Congyue Deng (Stanford) telling us about how equivariance can be implemented in neural networks.
1
2
10
Friends: AstroAI is hiring a postdoctoral scholar to work on Foundation AI, Multi-modality and Large Language Models! Come work with us at the @CenterForAstro !
trustcareers.si.edu
Founded in 1846, the Smithsonian is the world’s largest museum and research complex of 21 museums and galleries, the National Zoo and Conservation Biology Institute, and 14 education and research...
0
16
21
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”
514
9K
20K
The Nobel Prize in Physics goes to Hopfield and Hinton for their work in laying the ground for artificial intelligence using spin systems as a form of associative memory
nobelprize.org
The Nobel Prize in Physics 2024 was awarded jointly to John J. Hopfield and Geoffrey Hinton "for foundational discoveries and inventions that enable machine learning with artificial neural networks"
0
5
7
Today we had Bonny Wang (CMU) speaking at the AstroAI lunch seminar about doing cosmology of cosmic voids using methods of machine learning.
0
1
14
Liam Connor talking about inverse problems in astrophysics at the AstroAI lunch!
0
2
9