Risks, Rewards & Building the Unicorn Chip Company Taking on Nvidia | Inside Groq with Jonathan Ross

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#CCN2024 keynote In which Prof @NicoleCRust exposes nowadays crossroads blocks in #neuroscience research, subfields, always expanding #neurotech possibles, etc., leading to more route paths incognitos, while still lacking grounded scientific theoretical consensus.

Ending with future #neuroscienceresearch framework proposal with broader toolsets adoptions, brave new theoretics, openness towards unknown paths....
Then Q&A with young students expertise audience questions !

https://youtu.be/m47qHAJftR4

Keynote Lecture: Nicole Rust - CCN 2024

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Next was an engaging talk by @lisik on seeing social interactions at #CCN2024 https://www.youtube.com/watch?v=CWpIon_cxBw (9/14) #AI #neuroscience
Keynote Lecture: Leyla Isik - CCN 2024

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Next was an intriguing talk by @SaxeLab on what deep learning implies about cognition at #CCN2024 https://www.youtube.com/watch?v=kmupDwKLgPQ (7/14) #AI #CognitiveScience
Keynote Lecture: Andrew Saxe - CCN 2024

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Interested in the way neuroscience could help enhance the robusteness of deep learning ? If at #CCN2024 Check-out our Poster https://2024.ccneuro.org/poster/?id=293 #CCN and our preprint at https://arxiv.org/abs/2402.15480 https://laurentperrinet.github.io/publication/jeremie-24-ccn/
#neuroAI #neuroscience #deeplearning #vision @jnjer

refs :

Poster Presentation

Happening in 1 hour: #CCN2024, "On the Grand Plan for Brain and Mind research?" - talk and townhall discussion

Event:
https://2024.ccneuro.org/keynote-nicole-rust/

Livestream:
https://www.youtube.com/@cogcompneuro/streams

Keynote Lecture: Nicole Rust

Next was a wide-ranging talk by Matthias Bethge on the brain, AI, and bridging the gap between them at #CCN2024 https://www.youtube.com/live/T1fnclYPtu0?si=9uLZVQ6BMGpaFo9B&t=1127 (7/11) #AI #CognitiveScience
Keynote Lecture from Matthias Bethge- CCN 2024

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Fri C86: Small differences can have big consequences. How are similar experiences distinguished in memory? Dale Zhou proposes that perceptual and semantic information is lossily compressed and efficiently coded to support pattern separation #CCN2024 (5/5)
Thu B37: Nora Harhen shows that developmental variation in inferring environmental structure can explain variation in exploration. Children and adolescents represent environments more simply than adults, leading to more extensive exploration #CCN2024 (4/5)
Tue A22: How do we figure out the unseen structure in our experiences? Jungsun Yoo extends a state of the art model of latent structure learning, improving its biological plausibility and efficient performance in benchmark tasks #CCN2024 (3/5)