BohteNeuroLabCWI
@SanderBohte
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Spiking Neural Networks, deep (reinforcement) learning in the brain, neural decision-making, continuous-time neural processing.
Amsterdam, The Netherlands
Joined July 2016
RT @DianeCoyle1859: My esteemed @Cambridge_Uni colleague @lawrennd on the actually-existing threat from Big AI:
archive.ph
archived 11 Jun 2023 06:56:06 UTC
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Fun and exciting to talk on national television about spiking neural networks and energy efficient AI modeled after the brain. Dating myself: long ways from an obscure scientific topic (SNNs) in a highly unpopular machine learning domain (ANNs).
.@SanderBohte was interviewed by @Nieuwsuur on the enormous amount of power needed by #ArtificialIntelligence. He spoke about his research to capture the energy efficiency of our brains in an #algorithm and embed it on a chip. Watch the item here
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Beyond reading the pretty pictures in this awesome reporting by @anilananth, .amazing to being mentioned in "Nature". .
AI models are growing in complexity at an impressive rate. But is a larger model necessarily smarter? A group of scientists is hoping to trim some of the fat, @anilananth reports for @Nature.
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Mooi stuk van Theo van Vugt, was een goed gesprek over de impact van foundational AI models zoals ChatGPT.
ChatGPT heeft de wereld veroverd. Het is kunstmatige intelligentie in werkende staat en voor het eerst wordt duidelijk wat de implicaties zijn voor gebruikers en de samenleving. De mogelijkheden zijn oneindig, maar gevaren zijn er ook.
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Organizing together w/ Sebastian Otte: ."Special Session on Recent Advances in Spiking Neural Networks" at ICANN 2023. Conference 26 - 29 Sep 2023, in beautiful Crete. Paper deadline mid-April. #icann #enns #spiking #neuromorphic.
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RT @CWInl: Are you a PhD student with an interest in #MachineLearning? Sign up for our ML theory boot camp on the 14th and 15th of Februaryโฆ.
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Bojian Yin demonstrating an SNN on a phone for keywordspotting at Science Park open dag (CWI), till 1700h today.
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Great meeting yesterday in Nijmegen, wonderful to meet everybody in person again, and also to see so many new faces. Doubled from last year, neuromorphics rapidly becomings a big field in NL!
@PLanillos is opening today's symposium on Neuromorphic Computation in the Netherlands NCN2022 at the @DondersInst
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Een eer en een genoegen om in Paradiso te staan. Bucket-list--.
On Sunday, Sander Bohtรฉ (@CWInl, @UvA_Amsterdam, @univgroningen) took us on a fascinating journey in his #ParadisoLecture on the 'soul of AI': from the working of the brain (hearing neurons firing seeing a vertical line) to the basics of AI, his own work and future challenges.
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Ik sta 19 juni in Paradiso om te vertellen over AI en het brein. Info en kaartjes: (lecture will be in Dutch).
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Too modest: Lynn did some amazing work to develop recurrent models of object-recognition in the brain and map them to real human behavior.
๐ซPreprint time!๐ซ. Iโm excited to share our latest preprint โMechanisms of human dynamic object recognition revealed by sequential deep neural networksโ together with @SanderBohte, @dorinadejong, @HeleenSlagter & @hsteven9!. ๐งต ๐
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Koen Vervloesem schrijft over energie-zuinige AI chips op (registratie nodig voor volledig artikel):
tweakers.net
Het trainen en laten werken van neurale netwerken kost veel energie. Onderzoekers ontwikkelen hardware die deze berekeningen energiezuiniger kan uitvoeren.
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RT @anilananth: We might soon see neural networks that sip rather than gulp energy. My story on spiking #neuralnetworks for @SimonsInstitutโฆ.
simons.berkeley.edu
by Anil Ananthaswamy (Simons Institute Science Communicator in Residence)
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RT @neuralreckoning: Recordings from the SNUFA SNN workshop are now available on YouTube:. cc @hisspikeness @Sandeโฆ.
youtube.com
Talks from the November 2021 SNUFA spiking neural network workshop. See http://snufa.net/2021/ for more information.
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Very proud of this big effort, making artificial spiking neural networks performant and demonstrating energy efficiency.
New paper: effective and efficient spiking neural networks, closing the performance gap with classical recurrent neural networks while being vastly more energy efficient. Joint work with @SanderBohte (CWI) and Federico Corradi (IMEC). Link (paywall):
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Zeer geslaagde Avond vd Wetenschap: als tafelwetenschapper inspirerende gesprekken gehad over de toekomst van AI en hersenwetenschap #avondWM, en als klapstuk getuige van de uitreiking Huibregtsen prijs aan collega's @robvandermei en @sbhulai!.
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Second edition: this should again be an on-point affair.
We'll hold the 2nd "SNUFA" spiking neural network online workshop this Nov 8-9. Free reg and abstract submission now open at:. Invited speakers Tara Hamilton, @DylanRMuir, @cdschuman, and @sprekeler. Posters, contributed talks and debate TBA. Please RT
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Time turns out to be critical in scaling RL: in time-continuous settings, we really need an action-decision maker like the Basal Ganglia.
How do we learn when to react in real world? Check out our recent paper in Neurocomputing! #ReinforcementLearning #NeuralNetworks #WorkingMemory #SelectiveAttention #ContinuousTime #SARSA.A thread:.
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RT @BitsChips: ๐๐๐ฌ๐ญ ๐๐ก๐๐ง๐๐ ๐ญ๐จ ๐ ๐๐ญ ๐ฒ๐จ๐ฎ๐ซ ๐ญ๐ข๐๐ค๐๐ญ ๐๐จ๐ซ ๐ญ๐ก๐ ๐ง๐๐ฑ๐ญ ๐ฌ๐๐ฌ๐ฌ๐ข๐จ๐ง: Machine Learning Conference - 27 May. With presentations by @CWInl andโฆ.
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