We warmly congratulate our #research group leader Dr. Clara Wanjura on receiving the 2026 Gustav Hertz Prize from the German Physical Society (@DPGPhysik )! 👏
With this award, the DPG recognizes Clara Wanjura’s contributions to novel phenomena and their applications in complex photonic systems – particularly in the areas of neuromorphic systems and non-Hermitian #topology.
👉 https://mpl.mpg.de/news/article/dr-clara-wanjura-was-awarded-the-gustav-hertz-prize
📸 MPL, Susanne Viezens
#NeuromorphicComputing #physics #science #awards
#neuromorphiccomputing
🍄 美國俄亥俄州大學最新研究，用香菇菌絲培養出永續型「記憶電阻器」🔥
正式開啟神經形態計算新時代！🌱
天然生物材料現在不只可以吃，還能做環保電子元件✨
「香菇晶片」結合記憶存儲和運算，低功耗、可分解又超便宜💡
速度接近商用產品，超強復原力與穩定性💪，全程製程不會造成污染♻️
未來物聯網、穿戴裝置、太空電子、人工智慧都可能用到這類生物晶片🤖🚀
真正實現綠色永續科技！
🔗 詳細新聞與技術解密：https://2025.data-recover.com.tw/news/%E9%A6%99%E8%8F%87%E6%99%B6%E7%89%87-%E6%B0%B8%E7%BA%8C%E8%A8%98%E6%86%B6%E9%9B%BB%E9%98%BB%E5%99%A8-%E7%A5%9E%E7%B6%93%E5%BD%A2%E6%85%8B%E8%A8%88%E7%AE%97%E6%96%B0%E7%AA%81%E7%A0%B4
#香菇晶片 #MushroomChip #永續記憶電阻器 #SustainableMemristor #神經形態計算 #NeuromorphicComputing #永續科技 #SustainableTech #生物電子 #Bioelectronics #生物科技 #Biotechnology #科技新聞 #TechNews #永續發展 #Sustainability #研究突破 #ResearchBreakthrough #綠色科技 #GreenTech #AI與計算 #AIComputing #物聯網 #IoT #未來科技 #FutureTech #キノコチップ #ニューロモーフィック #バイオエレクトロニクス #サステナブル #news #tech #technews #science #research
Neuromorphs at work:
"Exploiting neuro-inspired dynamic sparsity for energy-efficient intelligent perception", Zhou et al. 2025 (Shih-Chii Liu and Tobi Delbruck's labs)
https://www.nature.com/articles/s41467-025-65387-7
A perspective paper on neuro-inspired vision on how to improve the energy efficiency of machine learning for perception, based on the observed sparse firing of biological neural circuits.
Neuromorphic Computing: AI That Thinks Like a Brain
Dive into the world of neuromorphic computing, the next frontier in AI
https://eproductempire.blogspot.com/2025/11/neuromorphic-computing-brain-inspired.html #NeuromorphicComputing
#ArtificialIntelligence
#FutureOfAI
#BrainInspiredTech
#Neuromorphic
#AIHardware
#NextGenComputing
#TechInnovation
#MachineLearning
#IntelligentSystems
First neuromorphic computer with 2 billion neurons
The system consists of 15 blade-type neuromorphic servers with 960 Darwin 3 chips. Each chip supports more than 2.35 million spiking neurons and hundreds of millions of synapses.
Nghiên cứu mới: Phát triển neuron nhân tạo dựa trên memristor khuếch tán, transistor và điện trở. Tiềm năng cho tính toán giống sinh học, AI gọn nhẹ và hiệu quả. #NeuromorphicComputing #ArtificialIntelligence #TríTuệNhânTạo #TínhToánGiốngSinhHọc
https://www.reddit.com/r/singularity/comments/1okb5lh/a_spiking_artificial_neuron_based_on_one/
"Covariant spatio-temporal receptive fields for spiking neural networks" by Pedersen, Conradt & Lindeberg 2025
https://www.nature.com/articles/s41467-025-63493-0
With the author's own words:
"We built spiking neural networks that outperform ANNs on event-based vision by initialising them with spatio-temporal receptive fields. And our theory-guided design beats naive approaches by 42%!"
A video explanation of the paper:
https://www.youtube.com/watch?v=qtHkrx4tYfI
We built spiking neural networks that outperform ANNs on event-based vision by initialising them with spatio-temporal receptive fields. Our theory-guided design beats naive approaches by 42%!
New paper in Nature Communications 🧠⚡
Paper (open access): https://www.nature.com/articles/s41467-025-63493-0
Video summary: https://youtu.be/qtHkrx4tYfI
We built spiking neural networks that outperform ANNs on event-based vision by initialising them with spatio-temporal receptive fields. Our theory-guided design beats naive approaches by 42%!
New paper in Nature Communications 🧠⚡
https://www.nature.com/articles/s41467-025-63493-0
#NeuromorphicComputing #ComputerVision #EventBasedVision
I discovered it by chance at the wonderful 'Researcher Night' event in Turin last week. Neuromorphic computing offers extremely low-power inference, but it is not always easy to train.
Neuromorphic Chips: How the Brain Inspires the Machines of the Future
Imagine a computer that thinks like you. Not just crunching numbers, but learning, adapting, and solving problems faster than you can blink, all while sipping less power than a fridge light bulb. Sounds like sci-fi? Welcome to neuromorphic chips—tech that mimics the human brain and is set to redefine computing. Let’s dive into this wild ride where science meets nature’s genius and see how these chips are shaping tomorrow.
What Are Neuromorphic Chips?
Forget traditional processors that plod through data like accountants. Neuromorphic chips are the rock stars of tech, inspired by the ultimate supercomputer: your brain. They mimic neurons and synapses, sending info via short electrical “spikes,” just like your brain does. These chips don’t just process—they learn and adapt with incredible efficiency.
“Neuromorphic” mixes “neuron” and “morphology” (form). These chips borrow the brain’s wiring: millions of artificial neurons linked by synapses work in parallel, like a data symphony. The best part? They use a fraction of the energy of regular chips.
How Do They Work? A Brain in Silicon
Picture your brain as a party where neurons only speak when they’ve got something juicy to share. Neuromorphic chips roll the same way:
1. Spiking Neural Networks (SNN): Unlike regular neural nets that buzz constantly, spiking networks only fire when needed, like texting only big news. Energy savings? Huge!
2. Parallel Power: These chips juggle data across multiple channels, like a brain planning dinner while grooving to music. Perfect for facial recognition or live video analysis.
3. Memory on Deck: Regular computers shuttle data like rush-hour couriers. Neuromorphic chips keep memory in the neurons—no traffic, just speed.
4. Self-Learning: These chips learn on the fly, like a brain memorizing a new route. Think robots that train themselves or cars that react faster than you.
Why Are They Awesome?
1. Firefly Energy: Your brain runs on 20 watts—less than a hallway bulb. Neuromorphic chips aim for that efficiency, ideal for drones, smartwatches, or gadgets lasting months without a charge.
2. Lightning Speed: Parallel processing makes these chips tackle tasks that’d fry regular processors. Your phone could spot faces in a crowd in milliseconds.
3. AI on Fire: Built for AI, these chips supercharge neural networks, making AI smarter and cheaper to run.
4. Scalable Future: From tiny sensors to brain-mimicking supercomputers, these chips scale effortlessly.
Who’s Making the Magic?
Neuromorphic chips aren’t a lab dream—they’re real, thanks to top innovators:
- IBM TrueNorth: Launched in 2014, it rocks a million neurons and 256 million synapses, analyzing video faster than you can say “cool.”
- Intel Loihi: Debuted in 2017, upgraded in 2021, Loihi learns on-device, perfect for robots or smart cameras.
- BrainChip Akida: Built for offline smart devices, like cameras that recognize faces without the cloud.
- SpiNNaker: A Manchester University project to simulate the brain, using neuromorphic processors for real-time neural networks.
Where Will We See Them?
These chips are ready to invade our lives:
- Self-Driving Cars: Cars that see the road like humans and dodge pedestrians in a flash.
- Smart Robots: Robots learning new tasks solo, from factory work to surgical assists.
- Next-Gen Medicine: Analyzing MRIs or monitoring heartbeats in real time with precision.
- IoT and Smart Homes: Smarter speakers and cameras that work offline, sipping power.
- Near-Human AI: AI that gets context, emotions, and learns like a kid.
The Catch…
Every revolution has bumps:
- Programming’s Tough: Spiking networks need new coding tricks. Python won’t cut it.
- Not Universal: Great for AI, but overkill for simple tasks like taxes.
- Pricey Development: Building these chips costs billions and years.
- Algorithm Hunt: New algorithms are needed to unlock their full power.
What’s Next?
Neuromorphic chips are like the moon landing—early days, big dreams:
- Smart Everything: From AR glasses to medical implants, they’ll weave tech into life.
- Quantum Combo: Pairing with quantum computing could create light-speed brains.
- Soulful AI: We might get AI that’s not just smart but feels almost alive.
In Conclusion
Neuromorphic chips bridge machines and humans, silicon and neurons. They’re not just powerful—they’re smart, efficient, and nature-inspired. We’re entering an era where machines might think, learn, and even dream like us. One day, a neuromorphic chip might ask, “What’s love?”—and we’ll be the ones stumped.
:sp_oko: :sp_sama:
#NeuromorphicComputing #ArtificialIntelligence #BrainInspiredTech #FutureOfComputing #AI #MachineLearning #SpikingNeuralNetworks #TechInnovation #IoT #Robotics #EdgeComputing #EnergyEfficiency #IntelLoihi #IBMTrueNorth #BrainChip #SpiNNaker #SmartDevices #AutonomousSystems
What if computers could think like a human brain? Neuromorphic computing mimics brain structure, paving the way for smarter robots and self-driving cars that learn in real-time. See how it's building the future of AI. #NeuromorphicComputing #AI #Robotics
Neuromorphic chips are moving from labs to reality. Innatera’s Pulsar promises 100× lower latency & 500× less power for edge AI. A glimpse of distributed, brain-inspired intelligence.
https://spectrum.ieee.org/innatera-neuromorphic-chip
#AI #EdgeAI #NeuromorphicComputing #Tech
Herzlichen Dank an die zahlreichen Besucherinnen und Besucher, die uns am Tag der Neugier in Jülich besucht haben! 🥰
Insgesamt waren 22.000 Menschen am Tag der Neugier im @fzj Forschungszentrum Jülich 😊
Unsere Teams haben sich sehr gefreut, spannende Einblicke in die Welt des #Quantencomputing und des #NeuromorphicComputing geben zu dürfen. 🔬
Weitere Einblicke:
https://www.fz-juelich.de/en/pgi/pgi-4/news/danke-dass-ihr-da-gewesen-seid-tag-der-neugier-2025
Thank you to everyone who attended and contributed to such a productive and inspiring event. We are looking forward to the next steps in deepening our collaboration.
IAS-6, IBI-3, INM-10, @fzj_jsc , PGI-4, PGI-7, PGI-14, PGI-15 @fzj
#NeuromorphicComputing #Neuroscience #ArtificialIntelligence #ComputingInnovation 3/3
3️⃣ Scalable 28nm IC implementation of coupled oscillator network featuring tunable topology and complexity
👉 https://arxiv.org/abs/2505.10248
4️⃣ Self Clocked Digital LDO for Cryogenic Power Management in 22nm FDSOI with 98 Percent Efficiency
👉 https://arxiv.org/abs/2505.10234
🔗 Check them out on arXiv. 📄
#arXiv #NeuromorphicComputing #Memristor #CryoCMOS #SoC #VLSI #OscillatorNetworks #LowPowerDesign
🔥 Oh joy, another “revolution” in AI where we pretend our computers are brains, except they're not, and they never will be. 🔋💸 Let's burn through enough electricity to power a small galaxy and then claim we're saving energy. 🌌💡 Neuromorphic computing: when marketing meets science fiction. 🤖🙄
https://www.lanl.gov/media/publications/1663/1269-neuromorphic-computing #AIrevolution #neuromorphiccomputing #marketingvsreality #energyconsumption #sciencefiction #HackerNews #ngated
Bold tech ideas that challenge limits. Share your thoughts on the future of computing! #EmergingHardware #Innovation #TechRevolution #NeuromorphicComputing #BioInspiredChips #QuantumProcessors #Efficiency #ComputingFuture #DigitalTransformation #IndustryImpact #SmartManufacturing #ITStrategy #FutureTech #Revolution #NewHorizons #ITRevolution #TechLegacy #BoldSteps #CommunityTech #ShapeTheFuture #BrightFuture #TechTransformation #TechDebate #InnovateBoldly #FutureForward #BoldTech #SpeakUp #TechTalk
https://medium.com/@sanjay.mohindroo66/breaking-the-limits-a-bold-look-at-new-hardware-inventions-64ac24d85eca
👃 What if your smartwatch could smell illness?
Researchers are building synthetic cells that detect odors like real biological noses—then combining them with neuromorphic chips that process smell like a brain.
The result? Devices that sniff, think, and adapt—in real time.
Would you use scent-based tech to monitor your health?
🧠 Full story at Blue Headline: https://blueheadline.com/tech-breakthroughs/sniff-illness-bio-electronic/
#Technology #SyntheticBiology #NeuromorphicComputing #ArtificialOlfaction #FutureOfHealth #BioElectronics
"Neuro-Synaptic Random Access Memory":
#neuromorphiccomputing #ann #artificialintelligence #scienceandtechnology #futurism
🧠
https://techxplore.com/news/2025-03-advancing-semiconductor-devices-ai-transistor.html
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