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

Scalable 28nm IC implementation of coupled oscillator network featuring tunable topology and complexity

Integrated circuit implementations of coupled oscillator networks have recently gained increased attention. The focus is usually on using these networks for analogue computing, for example for solving computational optimization tasks. For use within analog computing, these networks are run close to critical dynamics. On the other hand, such networks are also used as an analogy of transport networks such as electrical power grids to answer the question of how exactly such critical dynamic states can be avoided. However, simulating large network of coupled oscillators is computationally intensive, with specifc regards to electronic ones. We have developed an integrated circuit using integrated Phase-Locked Loop (PLL) with modifications, that allows to flexibly vary the topology as well as a complexity parameter of the network during operation. The proposed architecture, inspired by the brain, employs a clustered architecture, with each cluster containing 7 PLLs featuring programmable coupling mechanisms. Additionally, the inclusion of a RISC-V processor enables future algorithmic implementations. Thus, we provide a practical alternative for large-scale network simulations both in the field of analog computing and transport network stability research.

arXiv.org
🔥 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

**4/9** 🔋 Ultra-low power AI = creative liberation:
✅ Run generative art tools on battery for hours
✅ Real-time audio processing without lag
✅ Interactive installations that don't need power cables
✅ Collaborative AI that learns your creative style

Neuromorphic chips use 4-16x less energy than traditional AI processors, enabling truly portable creative tools.

Source: https://www.intel.com/content/www/us/en/research/neuromorphic-computing.html

#CreativeTech #AIArt #NeuromorphicComputing #SustainableAI

Neuromorphic Computing and Engineering with AI | Intel®

Discover how neuromorphic computing solutions represent the next wave of AI capabilities. See what neuromorphic chips and neural computers have to offer.

Intel
1/9 🧵 THREAD: How brain-inspired AI chips could revolutionize digital creativity
From the European Parliament's latest research on neuromorphic computing...
#DigitalArt #AIArt #CreativeTech #NeuromorphicComputing
🧵 The Energy Revolution (Technical Focus)
1/8 🔋 THREAD: Why your smartphone could soon have AI that runs for weeks
Current AI training uses HUNDREDS of watts. Your brain? Just 20 watts - less than a light bulb.
Europe's about to change everything...
#AIHardware #NeuromorphicComputing #EuropeanInnovation
Breaking the Limits: A Bold Look at New Hardware Inventions.

A bold and direct take on emerging hardware innovations that reshape computing. Dive into neuromorphic, bio-inspired, and quantum tech for a brighter future. The tech realm is on the brink of a true…

Medium

👃 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

Smelling Illness: Bio-Electronic Cells Detect Disease

This deep dive explores how synthetic biology and neuromorphic chips are powering next-gen odor detection tech that could sniff out illness and pollutants in real-time.

Blue Headline
Advancing semiconductor devices for AI: Single transistor acts like neuron and synapse

Researchers from the National University of Singapore (NUS) have demonstrated that a single, standard silicon transistor, the fundamental building block of microchips used in computers, smartphones and almost every electronic system, can function like a biological neuron and synapse when operated in a specific, unconventional way.

Tech Xplore

More brainlike computers could change #AI for the better

These 4 neuromorphic technologies hold promise for more efficient, more capable forms of AI

https://www.sciencenews.org/article/brainlike-computers-ai-improvement

#DigitalTransformation #NeuromorphicComputing

More brainlike computers could change AI for the better

New brain-inspired hardware, architectures and algorithms could lead to more efficient, more capable forms of AI.

Science News