This account is dedicated to brain inspired computing; founded by the late Prof. Karlheinz Meier, it is now operated by his former colleagues from Heidelberg.
Heidelberg / Germany
Joined March 2011
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Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
And the article "Variational learning of quantum ground states on spiking neuromorphic hardware" is out in @iScience_CP! Well done R. Klassert et al.!
@GaerttnerGroup @BrainScaleS @structures_hd @HumanBrainProj @HBPNeuromorphic @dfg_public Manfred Stärk Foundation @bwstiftung
take a look at our blog post we have written describing this work:
mbqd.de/post/2021-variationa…
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
Only one week to go... Then we'll see you at our 1st Jülich-Aachen Neuromorphic Computing Day. We are looking forward to see you there!! #neuromorphic #artificialintelligence #semiconductor #clusters4future #zukunftscluster #innovation lnkd.in/eBHqvrk9
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
Applications for NEAL2022 are open! We bring together experts
from the scientific fields of #neuromorphic computing, computational
neuroscience, and robotics! Apply now! neal2022.tetzlab.com
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
The Yin-Yang dataset is now published in the @NICE_Workshop Proceedings!
Congrats to Laura Kriener and Julian Göltz 🥳👏
dl.acm.org/doi/10.1145/35173…
@BrainScaleS @HumanBrainProj @EBRAINS_eu #DeepLearning #ArtificialIntelligence #MachineLearning
Check out the new Yin-Yang dataset well suited for #neuromorphic research arxiv.org/abs/2102.08211! @NeuroTMA
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
📚New book chapter by our @HBPNeuromorphic @BrainScaleS colleauges about
"Accelerated Analog Neuromorphic Computing"
dx.doi.org/10.1007/978-3-030…
#OpenAccess: arxiv.org/abs/2003.11996
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
A new fantastic Special Issue is available in Neuroscience: Dendritic contributions to biological and artificial computations by Guest Editors
@YiotaPoirazi & @SchillerJackie. Look out sciencedirect.com/science/jo… @NeurosciIBRO @ELSneuroscience
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
Chips modeled on “the beauty of the brain” are getting closer to supporting artificial neural networks. quantamagazine.org/ai-overco…
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
🚀🚀 How the @BrainScaleS research team at @UniHeidelberg uses Mattermost to build a neuromorphic system that tries to replicate what's currently known about information processing in the mammalian brain 🧠
mattermost.com/customers/hei…
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
Well done Andi 👏🥳
@BrainScaleS @HumanBrainProj
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
What better way to spend the coming Saturday evening than attending Andreas Baumbach's talk at the #SIAMPP22 mini-symposium on Neuromorphic Architectures at 8.30 pm CET (Feb 26)?
-> Abstract: siampp22.us2.pathable.com/me…
@BrainScaleS
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
Neuromorphic chips could be the energy-saving future of AI. But there’s been a major setback for analog chips, which most closely model the efficient processing of brains. Today in @QuantaMagazine I cover new exciting progress with the @BrainScaleS-2 chip.
quantamagazine.org/ai-overco…
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
Thank you @HumanBrainProj for highlighting our TTFS work with @BrainScaleS and others!!
Illustration of the on-chip classification process with the Yin-Yang dataset. Each symbol represents the spike time delay for various classifying #neurons. © Göltz and Kriener et al.
➡️ bit.ly/3LhlVyy @UniHeidelberg
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
Closeup of the #neuromorphic chip HICANN-DLS-SR-HX v2.
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
This took some time, but I’m happy to see our first demonstration of representing entangled quantum states with the @BrainScaleS spiking neuromorphic chip published in @SciPost_Physics 😀
Fun and interesting project with @GaerttnerGroup @NeuroTMA @SynQS @UniHeidelberg @unibern
New #openaccess publication #SciPost #Physics
Spiking neuromorphic chip learns entangled quantum states
Stefanie Czischek et al.
SciPost Phys. 12, 039 (2022)
scipost.org/SciPostPhys.12.1…
@ERC_Research @dfg_public @UniHeidelberg @UWaterloo @unibern
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
Out now, "Surrogate gradients for analog neuromorphic computing." We show that learning self-calibrates analog spiking hardware, an essential step toward bio-inspired ultra-low-power computing. Very proud of this collab between @FMIscience & @BrainScaleS.
pnas.org/content/119/4/e2109…
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
@giacomoi: "The HBP really stands out, because its neuromorphic architectures @BrainScaleS in Heidelberg and SpiNNaker in Manchester have been scaled up to very large systems [...]"
humanbrainproject.eu/en/foll…
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
New Spiking #Neuromorphic Chip Could Usher in an Era of Highly Efficient #AI
@NeuroTMA @BrainScaleS @HBPNeuromorphic
Read more in @singularityhub ⬇️
singularityhub.com/2021/11/0…
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
Mit neuromorphen Computern komplexe Lernaufgaben lösen: Wissenschaftler aus Heidelberg und Bern entwickeln neuen Trainingsansatz für gepulste neuronale Netze. @NeuroTMA
uni-heidelberg.de/de/newsroo…
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
Spiking Neural Networks könnten in Zukunft aktuelle Deep Learning Netze ersetzen. Forschende des Human Brain Project zeigen erste Ansätze. #ai #artificialintelligence
mixed.de/human-brain-project…
Electronic Vision(s) - in memoriam Karlheinz Meier retweeted
Commercial development of ASICs has costs that easily run in the 50-100m+ range as well. @BrainScaleS pioneered wafer-scale neuromorphic hardware, before Cerebas, now valued at 2.4 bn, built a wafer-scale AI-accelerator. A few key technologies alone, could easily give 10x return.