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Frangipani
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#neuromorphic #iot2025 #aiot #neuromorphiccomputing #edgeai #sustainability #iiot #energyefficiency #research | Behrooz Azadi
Next week, I’ll be presenting our paper “Towards an Energy-Efficient and Sustainable IIoT using Embedded Neuromorphic AI” at The 15th International Conference on the Internet of Things (IoT 2025) in Vienna. Our work explores how #neuromorphic hardware can make Industrial IoT more...www.linkedin.com
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19 November 2025 - Session 2:
“Towards an Energy-Efficient and Sustainable IIoT using Embedded Neuromorphic AI
Behrooz Azadi, Bernhard Anzengruber-Tanase, Georgios Sopidis, Michael Haslgrübler and Alois Ferscha”
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About Us – Pro²Future
www.pro2future.at
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Shareholder – Pro²Future
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What we offer – Pro²Future
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I recall somebody posting the below Pro²Future poster the other day, some of whose co-authors are also co-authors of the above paper that is going to be presented at the conference in Vienna next week:
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The above-mentioned IoT25 conference paper “Towards an Energy-Efficient and Sustainable IIoT using Embedded Neuromorphic AI” by Behrooz Azadi, Bernhard Anzengruber-Tanase, Georgios Sopidis, Michael Haslgrübler (all Pro2Future GmbH, Linz) and Alois Ferscha (Johannes Kepler University Linz) can now be accessed online:
“Neuromorphic hardware offers a promising alternative, with the potential for much lower energy consumption and inference latency compared to GPU-based com- puting. Throughout this study, we investigate this claim and compare the energy consumption and inference latency of BrainChip Akida and NVIDIA Orin NX. Our results indicate that the quantized model runs faster on the Akida than on the Orin for inference, with an average of 22.54 seconds compared to 181.66 seconds for 10k test samples from the MNIST dataset, respectively. Furthermore, the measured active power and, therefore, energy consumption associated with Akida during idle time are considerably lower than that of NVIDIA Orin. Additionally, our uncontrolled long-term monitoring confirms that the neuromorphic hardware consumes significantly lower energy over 25 days, with an average active power of 4.36 W compared to 9.17 W and energy consumption of 2.6 kWh compared to 5.5 kWh.”
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Frangipani
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A week ago, I shared my findings about a new ESA-Phi-Lab Sweden project called VAIAS (Validation of an AI Accelerator for Space), which is a collaboration between Frontgrade Gaisler and Rapidity Space that aims to validate the GR801 neuromorphic AI accelerator (-> Akida) for onboard autonomy in radiation-prone environments.
Today, RISE (Research Institutes of Sweden)posted on LinkedIn about the official kick-off for VAIAS and two other ESA Phi-Lab Sweden Edge AI space projects:
🚀 Kick-off for ESA Phi-Lab Sweden Projects! Yesterday brought an inspiring day of networking as we had the kick-off meeting with three groundbreaking projects funded by ESA Phi-Lab Sweden, a… | AI at RISE
🚀 Kick-off for ESA Phi-Lab Sweden Projects! Yesterday brought an inspiring day of networking as we had the kick-off meeting with three groundbreaking projects funded by ESA Phi-Lab Sweden, a strategic program led by RISE that drives the commercialization of space technology innovations, with a...
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It will be really exciting to continue the partnership between Rapidity Space and Frontgrade Gaisler, now within the VAIAS project funded by ESA Phi-Lab Sweden. The GR801 is an exciting upcoming… | Carl Nettelblad
It will be really exciting to continue the partnership between Rapidity Space and Frontgrade Gaisler, now within the VAIAS project funded by ESA Phi-Lab Sweden. The GR801 is an exciting upcoming product with a powerful SIMD-capable RISC-V core combined with a workhorse neuromorphic accelerator...
Frangipani
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Neuromorphic Brain Chip in NVIDIA Jetson | AI Cowboys + UT San Antonio Rewire Edge AI
The AI Cowboys fused neuromorphic computing with NVIDIA Jetson at UT San Antonio. Cutting AI energy use by 90%. Explore spiking neural networks, case studies, market growth, and why this breakthrough could reshape sustainability, defense, and accessibility.www.theaicowboys.com
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Michael Pendleton, Founder and CEO of the AI Cowboys, posted this earlier today:
“Enter NeuroEdge: brain-inspired AI that brings enterprise-grade cybersecurity to even the smallest IoT devices, built by The AI Cowboys, at The University of Texas at San Antonio with NVIDIA & BrainChip hardware…”
#edgeai #iotsecurity #neuroedge #spikingneuralnetworks #cybersecurity #aiinnovation | Michael Pendleton
🚨LinkedIn...I present AI/ML driven Cybersecurity, where it was never possible before. 80% of IoT endpoints are unprotected, not because we don't care, but because traditional cybersecurity is too heavy for tiny devices. That changes now! 🔐 Enter NeuroEdge: brain-inspired AI that brings...
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