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Frangipani

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While one Frontgrade Gaisler team is currently touring Asia and will be in Tokyo next week, participating in SPEXA (Space Business Expo Japan)…


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… another Frontgrade Gaisler team that includes General Manager Sandi Habinc is currently on the other side of the Pacific, also promoting - among other products - GR801, their first neuromorphic AI solution for space, built on the radiation-hardened NOEL-V processor and powered by Akida:



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Prior to that they had exhibited at IEEE NSREC (Nuclear & Space Radiation Effects Conference) that took place in Nashville, TN from 14-18 July:



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Frangipani

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Celebrating AI Appreciation Day 2025: Technology Leaders Reflect on AI's Revolutionary Year

AI-Appreciation-Day-VMblog


As artificial intelligence continues to reshape industries and redefine the boundaries of what's possible in technology, AI Appreciation Day serves as a vital moment to pause and recognize the profound impact that AI has had on our world. This annual observance, celebrated on July 16th, provides an opportunity for technology professionals, businesses, and enthusiasts to reflect on the remarkable advances in artificial intelligence and acknowledge the brilliant minds driving innovation forward.

AI Appreciation Day isn't just about celebrating the technology itself-it's about honoring the researchers, developers, data scientists, and visionaries who have transformed AI from science fiction into an integral part of our daily lives. From revolutionizing healthcare diagnostics and autonomous vehicles to enhancing cybersecurity and streamlining business operations, artificial intelligence has become the cornerstone of digital transformation across virtually every sector.

At VMblog, we're marking this special day by bringing together insights from leading industry experts who are at the forefront of AI development and implementation. These technology leaders share their perspectives on AI's most significant achievements, current challenges, and the exciting possibilities that lie ahead. Their commentary offers a comprehensive view of where artificial intelligence stands today and where it's headed tomorrow.

Join us as we celebrate AI Appreciation Day 2025 with expert analysis, industry insights, and a look at the innovations that continue to push the boundaries of what artificial intelligence can achieve.

(…)


Anthony Lewis, CTO of Brainchip

The most powerful AI stories are the ones you can hold in your hands — technologies that improve health, safety, and wellbeing. Making this possible is the increasing amount of AI brought directly to edge devices — where data is generated — without relying on the cloud. AI will be integrated into every aspect of life, invisible, seamless and always on. It will predict and react to a user's needs in real time, often before those needs are recognized.
 
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manny100

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Naval Air Warfare Center contract (N68335-22-C-0158)

"BrainChip and Blue Ridge Envisioneering Collaborate on Next-Generation Tactical Edge Devices"​

Dated: 10th April 2023.
Not sure what progress has been made.
"
Attribution Statement:

This material is based upon work supported by the Naval Air Warfare Center under Contract No. N68335-22-C-0158."
 
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Naval Air Warfare Center contract (N68335-22-C-0158)

"BrainChip and Blue Ridge Envisioneering Collaborate on Next-Generation Tactical Edge Devices"​

Dated: 10th April 2023.
Not sure what progress has been made.
"
Attribution Statement:

This material is based upon work supported by the Naval Air Warfare Center under Contract No. N68335-22-C-0158."
BRE. A black signal company got bought out by a larger company last year. They obviously liked what they saw!


I’m as happy as Larry to have an even bigger company with more resources potentially including Akida in their projects.

:)
 
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manny100

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Navy SBIR/STTR Projects Involving BrainChip’s Akida and Blue Ridge​

Below are the known U.S. Navy SBIR/STTR awards that explicitly leverage BrainChip’s Akida™ neuromorphic processor or its development environment.

1. MENTAT – Electronic Warfare Signal Classification (Phase I)​

  • Awardee: Blue Ridge Engineering (now part of RTX)
  • Contract: NAVY SBIR 2021.2 (Release 2) Phase I
  • Synopsis: Uses the Akida Event Domain Neural Processor Development Environment to convert and run EW signal-classification models under spiking-neural-network constraints. A data-collection/demonstration was conducted at a Navy test range with relevant emitters.

I asked AI for estimated completed dates but they would likely be ' as guess' so not worth posting.
 
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KMuzza

Mad Scientist


Celebrating AI Appreciation Day 2025: Technology Leaders Reflect on AI's Revolutionary Year

At VMblog, we're marking this special day by bringing together insights from leading industry experts who are at the forefront of AI development and implementation. These technology leaders share their perspectives on AI's most significant achievements, current challenges, and the exciting possibilities that lie ahead. Their commentary offers a comprehensive view of where artificial intelligence stands today and where it's headed tomorrow.

Join us as we celebrate AI Appreciation Day 2025 with expert analysis, industry insights, and a look at the innovations that continue to push the boundaries of what artificial intelligence can achieve.

(…)


Anthony Lewis, CTO of Brainchip

The most powerful AI stories are the ones you can hold in your hands — technologies that improve health, safety, and wellbeing. Making this possible is the increasing amount of AI brought directly to edge devices — where data is generated — without relying on the cloud. AI will be integrated into every aspect of life, invisible, seamless and always on. It will predict and react to a user's needs in real time, often before those needs are recognized.
Hi Frangipani,
Check out the Linkden site's of the BRAINCHIP CTO-
and then also this - so now with Hewlett Packard so close to our CTO - who knows - time will tell.🤷‍♂️
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well - and a follow on,

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i guess it is just a matter of time.
Lewis M Anthony - is a smart scientist .
 
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KMuzza

Mad Scientist
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Baneino

Regular

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Nice results....bit better that Loihi head to head in the same experiments.

Paper being presented at:

2025 IEEE 68th International Midwest Symposium on Circuits and Systems (MWSCAS)
August 10-13, 2025, Lansing, MI, USA



13:30-13:45, Paper TueLecB04.1
Ultra-Efficient Network Intrusion Detection Implemented on Spiking Neural Network Hardware (I)

Islam, RashedulUniversity of Dayton
Yakopcic, ChrisUniversity of Dayton
Rahman, NayimUniversity of Dayton
Alam, ShahanurUniversity of Dayton
Taha, TarekUniversity of Dayton
Keywords: Neuromorphic System Algorithms and Applications, Machine Learning at the Edge, Other Neural and Neuromorphic Circuits and Systems Topics
Abstract: Network intrusion detection is crucial for securing data transmission against cyber threats. Traditional anomaly detection systems use computationally intensive models, with CPUs and GPUs consuming excessive power during training and testing. Such systems are impractical for battery-operated devices and IoT sensors, which require low-power solutions. As energy efficiency becomes a key concern, analyzing network intrusion datasets on low-power hardware is vital. This paper implements a low-power anomaly detection system on Intel’s Loihi and Brainchip’s Akida neuromorphic processors. The model was trained on a CPU, with weights deployed on the processors. Three experiments—binary classification, attack class classification, and attack type classification—are conducted. We achieved approximately 98.1% accuracy on Akida and 94% on Loihi in all experiments while consuming just 3 to 6 microjoules per inference. Also, a comparative analysis with the Raspberry Pi 3 and Asus Tinker Board is performed. To the best of our knowledge, this is the first performance analysis of low power anomaly detection based on spiking neural network hardware.
 
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