#brain2ai search results
Great talk from Mike Davies at #brain2AI about constraining architectures for AI using biological principles!
First of the 2 poster/spotlight sessions at #brain2AI will start at 1pm ET! Join on GatherTown for a great discussion!
#brain2AI discussion panel starting in 5min! Join for a great discussion with @AllysonEttinger , @alonamarie , @andrea_e_martin , @DimaKrotov , @neuro_kim , and Josh Tenenbaum!
#brain2AI workshop happening now @iclr_conf ! Opening remarks by @vvobot highlighting some of our goals today. Join the discussion!
I love how the #brain2AI debate was organized (and hosted) 👏🏼 It all boiled down to how panelists interpreted the questions. Almost as if representing meaning was a hard task for both biological & artificial systems… Someone should study meaning in the brain 😉
Generalized enthusiasm at #brain2AI on the brain as useful design for AI, but let's consider there's not only one brain solution (ie, landscape of possible trade-offs) & there might be a non-brain solution, why not! Bonus: we might learn something about the brain along the way...
Tomorrow I will be in #Brain2ai WS at @iclr_conf How Can Findings About The Brain Improve AI Systems? Presenting our paper: #Neuroscience-inspired perception-action in #robotics: applying #ActiveInference for state-estimation, control and self-perception with @marcelge #ICLR2021
Mike Davis from @turinginst opening #brain2AI with the Efficiency Gap: optimization is the core of both, but biological systems evolved with lots of constraints, artificial ones are all about functionality = need to rethink computing with inspirations from biology #BrainIsSparse
Check out our short opinion piece where we draw parallels between investigating brains and neural nets! "Probing artificial neural networks: insights from neuroscience" arxiv.org/abs/2104.08197 Written with @NogaZaslavsky and @JohnHewtt for the #brain2AI #ICLR2021 workshop. 1/
#brain2AI workshop is happening in 1 week! Look out for daily questions that will help start the discussion with our fantastic panelists. Q1: The brain “solution” is one of the different possible ones to solve various problems. When is it useful to follow it in designing AI?
Quite a divide on how useful the comparison #brain2AI at the implementation level will be, but @alonamarie throws it off the park on the algorithmic one (citing @mrwdawson’s artifacts of the algorithm): “Yes and I have done it” [e.g. doi.org/10.3115/v1/p14…]
![vborghesani's tweet image. Quite a divide on how useful the comparison #brain2AI at the implementation level will be, but @alonamarie throws it off the park on the algorithmic one (citing @mrwdawson’s artifacts of the algorithm): “Yes and I have done it” [e.g. doi.org/10.3115/v1/p14…]](https://pbs.twimg.com/media/E0y_9FlXIAgbFbq.jpg)
![vborghesani's tweet image. Quite a divide on how useful the comparison #brain2AI at the implementation level will be, but @alonamarie throws it off the park on the algorithmic one (citing @mrwdawson’s artifacts of the algorithm): “Yes and I have done it” [e.g. doi.org/10.3115/v1/p14…]](https://pbs.twimg.com/media/E0y_9FoWYAE5Pih.jpg)
Tune in to the #brain2AI workshop at ICLR on May 7 for the results! Q2: If AI eventually excels beyond human experts in many or all domains, would studying the brain still be useful?
31 vote · Final results
A first try of wrapping up my approach developed in the last 4 years for #ActiveInference in #Robotics. Presented in #brain2ai @iclr_conf last week with @marcelge Hope you like it. More to come :) #estimation #control #adaptation #selfperception #bodyownership #agency
Neuroscience-inspired perception-action in robotics: applying active inference for state estimation, control and self-perception deepai.org/publication/ne… by @PLanillos et al. #Statistics #Estimator
deepai.org
Neuroscience-inspired perception-action in robotics: applying active inference for state estimati...
05/10/21 - Unlike robots, humans learn, adapt and perceive their bodies by interacting with the world. Discovering how the brain represents t...
Thanks to the organizers of the #brain2AI workshop for giving us a chance to discuss probing in artificial and biological neural systems. 5-min video of our paper here: youtube.com/watch?v=EdfbuD…
youtube.com
YouTube
Probing ANNs: Insights from neuroscience
Check out our short opinion piece where we draw parallels between investigating brains and neural nets! "Probing artificial neural networks: insights from neuroscience" arxiv.org/abs/2104.08197 Written with @NogaZaslavsky and @JohnHewtt for the #brain2AI #ICLR2021 workshop. 1/
RT @mtoneva1: Jack Gallant's talk at #brain2AI starting now! @gallantlab #mw via @mldcmu #cmuai #mldcmu
First of the 2 poster/spotlight sessions at #brain2AI will start at 1pm ET! Join on GatherTown for a great discussion!
I love how the #brain2AI debate was organized (and hosted) 👏🏼 It all boiled down to how panelists interpreted the questions. Almost as if representing meaning was a hard task for both biological & artificial systems… Someone should study meaning in the brain 😉
Quite a divide on how useful the comparison #brain2AI at the implementation level will be, but @alonamarie throws it off the park on the algorithmic one (citing @mrwdawson’s artifacts of the algorithm): “Yes and I have done it” [e.g. doi.org/10.3115/v1/p14…]
#brain2AI discussion panel starting in 5min! Join for a great discussion with @AllysonEttinger , @alonamarie , @andrea_e_martin , @DimaKrotov , @neuro_kim , and Josh Tenenbaum!
#brain2AI is another very interesting workshop to checkout! Enjoying the amazing thoutful questions raised in the panel discussion! #ICLR2021
Generalized enthusiasm at #brain2AI on the brain as useful design for AI, but let's consider there's not only one brain solution (ie, landscape of possible trade-offs) & there might be a non-brain solution, why not! Bonus: we might learn something about the brain along the way...
#brain2AI discussion panel starting in 5min! Join for a great discussion with @AllysonEttinger , @alonamarie , @andrea_e_martin , @DimaKrotov , @neuro_kim , and Josh Tenenbaum!
Great talk from Mike Davies at #brain2AI about constraining architectures for AI using biological principles!
Mike Davis from @turinginst opening #brain2AI with the Efficiency Gap: optimization is the core of both, but biological systems evolved with lots of constraints, artificial ones are all about functionality = need to rethink computing with inspirations from biology #BrainIsSparse
#brain2AI started @iclr_conf - nice motivational opening by @vvobot - excited to listen to the first speaker: Mike Davis! 🚀 PS: I do not like webinars for WS, breaks the interaction already minimal in virtual settings 😅
#brain2AI workshop happening now @iclr_conf ! Opening remarks by @vvobot highlighting some of our goals today. Join the discussion!
Mike Davis from @turinginst opening #brain2AI with the Efficiency Gap: optimization is the core of both, but biological systems evolved with lots of constraints, artificial ones are all about functionality = need to rethink computing with inspirations from biology #BrainIsSparse
I love how the #brain2AI debate was organized (and hosted) 👏🏼 It all boiled down to how panelists interpreted the questions. Almost as if representing meaning was a hard task for both biological & artificial systems… Someone should study meaning in the brain 😉
Generalized enthusiasm at #brain2AI on the brain as useful design for AI, but let's consider there's not only one brain solution (ie, landscape of possible trade-offs) & there might be a non-brain solution, why not! Bonus: we might learn something about the brain along the way...
Tomorrow I will be in #Brain2ai WS at @iclr_conf How Can Findings About The Brain Improve AI Systems? Presenting our paper: #Neuroscience-inspired perception-action in #robotics: applying #ActiveInference for state-estimation, control and self-perception with @marcelge #ICLR2021
#brain2AI discussion panel starting in 5min! Join for a great discussion with @AllysonEttinger , @alonamarie , @andrea_e_martin , @DimaKrotov , @neuro_kim , and Josh Tenenbaum!
RT @mtoneva1: Jack Gallant's talk at #brain2AI starting now! @gallantlab #mw via @mldcmu #cmuai #mldcmu
First of the 2 poster/spotlight sessions at #brain2AI will start at 1pm ET! Join on GatherTown for a great discussion!
Great talk from Mike Davies at #brain2AI about constraining architectures for AI using biological principles!
#brain2AI workshop happening now @iclr_conf ! Opening remarks by @vvobot highlighting some of our goals today. Join the discussion!
~2 weeks left to submit to #brain2AI workshop at #iclr2021! iclrbrain2ai.github.io Fantastic lineup of speakers + panelists: Anima Anandkumar, @neurobongo, Kenji Doya, @AllysonEttinger, @alonamarie, @gallantlab, @andrea_e_martin, @neuro_kim, Josh Tenenbaum
Quite a divide on how useful the comparison #brain2AI at the implementation level will be, but @alonamarie throws it off the park on the algorithmic one (citing @mrwdawson’s artifacts of the algorithm): “Yes and I have done it” [e.g. doi.org/10.3115/v1/p14…]
RT @mtoneva1: Jack Gallant's talk at #brain2AI starting now! @gallantlab bit.ly/3erbvOw #mw via @mldcmu #cmuai #mldcmu via @Towards_AI #TowardAI
RT @mtoneva1: Anima Anandkumar's talk at #brain2AI starting now! bit.ly/3bsW4nd #mw via @mldcmu #cmuai #mldcmu via @Towards_AI #TowardAI
Something went wrong.
Something went wrong.
United States Trends
- 1. Epstein 692K posts
- 2. Steam Machine 34.1K posts
- 3. Bradley Beal 3,087 posts
- 4. Valve 24K posts
- 5. Boebert 23.9K posts
- 6. Virginia Giuffre 39.7K posts
- 7. Xbox 60.3K posts
- 8. Anthony Joshua 1,900 posts
- 9. Scott Boras N/A
- 10. #BLACKROCK_NXXT N/A
- 11. GabeCube 2,251 posts
- 12. Rosalina 64.8K posts
- 13. Clinton 100K posts
- 14. Mel Tucker N/A
- 15. H-1B 94.8K posts
- 16. Zverev 3,222 posts
- 17. Jordan Humphrey N/A
- 18. Michael Wolff 17.1K posts
- 19. #NASDAQ_NXXT N/A
- 20. Jameis 8,957 posts