HBPNeuromorphic retweetledi
Read all about the #neuromorphic circuits giving BrainScaleS-2 its unique features, flexibility and unprecedented accuracy! Accepted for @IEEEICECS 2022: arxiv.org/abs/2209.09280!
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HBPNeuromorphic
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HBPNeuromorphic retweetledi
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
Quantum Information & Quantum Simulations @Jena@GaerttnerGroup
@BrainScaleS take a look at our blog post we have written describing this work: mbqd.de/post/2021-vari…
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HBPNeuromorphic retweetledi
Simulate with EBRAINS! Learn about the research infrastructure and Fenix resources for simulations on a scale from molecules via small and large networks of point or structured spiking neurons to simplified whole brain activity and virtual environments! humanbrainproject.eu/en/about-hbp/n…
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HBPNeuromorphic retweetledi
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
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HBPNeuromorphic retweetledi
Uniting efficiency and usability of #neuromorphic computing! "A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware" explains the experiment workflow, API layering, software design, and platform operation for @BrainScaleS-2! doi.org/10.3389/fnins.…
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HBPNeuromorphic retweetledi
The Yin-Yang dataset is now published in the @NICE_Workshop Proceedings!
Congrats to Laura Kriener and Julian Göltz 🥳👏
dl.acm.org/doi/10.1145/35…
@BrainScaleS @HumanBrainProj @EBRAINS_eu #DeepLearning #ArtificialIntelligence #MachineLearning
Electronic Vision(s) - in memoriam Karlheinz Meier@BrainScaleS
Check out the new Yin-Yang dataset well suited for #neuromorphic research arxiv.org/abs/2102.08211! @NeuroTMA
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HBPNeuromorphic retweetledi
📚New book chapter by our @HBPNeuromorphic @BrainScaleS colleauges about
"Accelerated Analog Neuromorphic Computing"
dx.doi.org/10.1007/978-3-…
#OpenAccess: arxiv.org/abs/2003.11996
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HBPNeuromorphic retweetledi
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/journa… @NeurosciIBRO @ELSneuroscience
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HBPNeuromorphic retweetledi
Vom Gehirn inspirierte KI: Was ist Neuromorphic Computing? mixed.de/vom-gehirn-ins… @mixed_de @NeuroTMA
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HBPNeuromorphic retweetledi
Software for #neuromorphic hardware is a challenge! Our new pre-print "A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware" explains how it is done for @BrainScaleS-2! arxiv.org/abs/2203.11102
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HBPNeuromorphic retweetledi
The 9th Neuro Inspired Computational Elements Conference (NICE 2022) starts next week (29 March - 1 April 2022)!
The workshop offers #neuromorphic computing related talks as well as SpiNNaker, @BrainScaleS and Loihi hands-on sessions.
niceworkshop.org/nice-2022/ @NICE_Workshop
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HBPNeuromorphic retweetledi
With a couple of pages on #neuromorphic computing!
HBP Education@HBP_Education
🎉 We are happy to announce the launch of our latest @HumanBrainProj brochure. This brochure highlights our latest scientific breakthroughs and achievements. Take a look at it here 👇 humanbrainproject.eu/en/science/bro…
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HBPNeuromorphic retweetledi
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/meetings/6deSQ…
@BrainScaleS
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HBPNeuromorphic retweetledi
Read all about the @BrainScaleS-2 Accelerated #Neuromorphic System With Hybrid Plasticity by @ChristianPehle et al. in @FrontNeurosci!
doi.org/10.3389/fnins.…
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HBPNeuromorphic retweetledi
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-overcomes-s…
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HBPNeuromorphic retweetledi
Thank you @HumanBrainProj for highlighting our TTFS work with @BrainScaleS and others!!
Human Brain Project@HumanBrainProj
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
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HBPNeuromorphic retweetledi
HBPNeuromorphic retweetledi
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
SciPost Physics @[email protected]@SciPost_Physics
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… @ERC_Research @dfg_public @UniHeidelberg @UWaterloo @unibern
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HBPNeuromorphic retweetledi
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/…
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HBPNeuromorphic retweetledi
From point to structured neurons! Jakob shows you how to run experiments on the @BrainScaleS #neuromorphic hardware via @EBRAINS_eu: youtube.com/watch?v=rhyHcA…!
YouTube
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