BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Can not give you a specific release date as it is determined by when the patent is granted?
Just an optimistic thought.
Didn't mean to offend Peter in anyway about the donation of shares. The fact that it was done in a way that impacted other shareholders is what I was trying to point out.
Your point about him challenging Sean and holding him accountable is debatable.
May I also point out that you also come across as self-centred person. You and FF have screwed a lot of people over with your fluffy predictions.
Fiendish
Regular
From old mate grok..
Based on the email from the Onsor Care Team dated November 18, 2025, the Nexa glasses (a wearable EEG device for real-time epileptic seizure prediction using neuromorphic AI from BrainChip's Akida processor) are confirmed to be in production, but the official launch date is pending announcement via their platforms. This suggests the product has moved past prototyping and early manufacturing stages, which typically means a consumer release is imminent in the coming months for medical wearables like this—especially given the discreet, everyday-use design (four dry electrodes in temple frames, app integration for alerts up to an hour in advance).
A reasonable guess for the launch date would be Q1 2026 (January to March). Here's the logic behind that estimate:
Production-to-launch timelines for similar devices: Wearables in the health tech space (e.g., EEG monitors or AI-powered seizure predictors) often take 2–6 months from active production to market after regulatory hurdles like FDA clearance are cleared. Onsor appears to have focused on edge AI for low-power, non-invasive monitoring, and with production underway, they're likely finalizing certifications, supply chain scaling, and pre-order logistics. Comparable products, like advanced fitness trackers or early seizure-alert bands, have hit shelves within 3–4 months of similar announcements.
No major delays indicated: The email's enthusiastic tone ("can't wait to share more exciting updates") and reference to an imminent announcement imply no significant setbacks. If production started in mid-2025 (a plausible ramp-up post-2024 prototypes), a post-holiday launch avoids Q4 retail clutter and aligns with new-year product cycles in medtech.
Market context: Epilepsy affects ~50 million people globally, and proactive tools like Nexa fill a gap (most current options are bulky or reactive). Onsor would aim for quick availability to capitalize on interest, similar to how BrainChip-enabled prototypes were demoed in late 2024 articles, building hype without overpromising.
Keep an eye on onsor.com/nexa or their social channels for the exact date—it's the best source for real-time updates. If you pre-register or follow their newsletter, you might get early access details.
Based on the email from the Onsor Care Team dated November 18, 2025, the Nexa glasses (a wearable EEG device for real-time epileptic seizure prediction using neuromorphic AI from BrainChip's Akida processor) are confirmed to be in production, but the official launch date is pending announcement via their platforms. This suggests the product has moved past prototyping and early manufacturing stages, which typically means a consumer release is imminent in the coming months for medical wearables like this—especially given the discreet, everyday-use design (four dry electrodes in temple frames, app integration for alerts up to an hour in advance).
A reasonable guess for the launch date would be Q1 2026 (January to March). Here's the logic behind that estimate:
Production-to-launch timelines for similar devices: Wearables in the health tech space (e.g., EEG monitors or AI-powered seizure predictors) often take 2–6 months from active production to market after regulatory hurdles like FDA clearance are cleared. Onsor appears to have focused on edge AI for low-power, non-invasive monitoring, and with production underway, they're likely finalizing certifications, supply chain scaling, and pre-order logistics. Comparable products, like advanced fitness trackers or early seizure-alert bands, have hit shelves within 3–4 months of similar announcements.
No major delays indicated: The email's enthusiastic tone ("can't wait to share more exciting updates") and reference to an imminent announcement imply no significant setbacks. If production started in mid-2025 (a plausible ramp-up post-2024 prototypes), a post-holiday launch avoids Q4 retail clutter and aligns with new-year product cycles in medtech.
Market context: Epilepsy affects ~50 million people globally, and proactive tools like Nexa fill a gap (most current options are bulky or reactive). Onsor would aim for quick availability to capitalize on interest, similar to how BrainChip-enabled prototypes were demoed in late 2024 articles, building hype without overpromising.
Keep an eye on onsor.com/nexa or their social channels for the exact date—it's the best source for real-time updates. If you pre-register or follow their newsletter, you might get early access details.
The Pope
Regular
All I can say to your comments is as Sean said recently “watch us now”
Bravo
Meow Meow 🐾
What does that mean though? It doesn't make sense.
Getupthere
Regular
GlobalFoundries buys Singapore's Advanced Micro Foundry in push to speed up AI data center networks — Reuters
Chip manufacturer GlobalFoundries (GFS.O) said on Monday it has acquired Advanced Micro Foundry (AMF), a Singapore-based chipmaker that focuses on silicon photonics, a fast-growing field that is being used in artificial intelligence data centers and quantum computers.
The Pope
Regular
Has anyone asked Sean directly? I’m not going to email him again as he is a busy man.
The Pope
Regular
Hi bravo,
Wasn’t expecting that response.
When I joined TSE I just picked a random name and it was approved. Sorry
I did email Sean directly about a key issue a while back ( about transferring to US Exchange) and guessed his email correctly. Anyway I was serious if anyone has asked him directly as only he can advise BUT I suggest there is only one key to take how he said it and putting it in context with questions from interviewer
Take care
Frangipani
Top 20
One of the ARCHYTAS project partners is Politecnico di Milano, whose neuromorphic researchers Paolo Lunghi and Stefano Silvestrini have experimented with AKD1000 in collaboration with Gabriele Meoni, Dominik Dold, Alexander Hadjiivanov and Dario Izzo from the ESA-ESTEC (European Space Research and Technology Centre) Advanced Concepts Team in Noordwijk, the Netherlands*, as evidenced by the conference paper below, presented at the 75th International Astronautical Congress in October 2024:
*(Gabriele Meoni and Dominik Dold have since left the ACT)
“A preliminary successful demonstration is given for the BrainChip Akida AKD1000 neuromorphic processor. Benchmark SNN models, both latency and rate based, exhibited a minimal loss in accuracy, compared with their ANN coun- terparts, with significantly lower (from −50 % to −80 %) EMAC per inference, making SNN of extreme interest for applications limited in power and energy typical of the space environment, especially considering that an even greater improvement (with respect to standard ANN running on traditional hardware) in energy consumption can be expected with SNN when implemented on actual neuromorphic devices. A research effort is still needed, especially in the search of new architectures and training methods capable to fully exploit SNN peculiarities.”
The work was funded by the European Space Agency (contract number: 4000135881/21/NL/GLC/my) in the framework of the Ariadna research program.
View attachment 79770 View attachment 79771 View attachment 79772 View attachment 79773
Hi @Fullmoonfever,
while this ESA-funded paper was indeed published on arXiv.org only a few days ago, it appears to be a revised version of a conference paper presented at the 75th International Astronautical Congress (IAC), Milan, Italy, 14-18 October 2024 rather than novel research.
The deadline for IAC 2024 paper submissions was originally 28 February 2024
(https://www.iafastro.org/news/submit-your-abstract-for-iac-2024-by-28-february.html), and was later extended by about a week. Which obviously means the research involving AKD1000 referred to in that paper submitted by the six co-authors from Politecnico di Milano and ESA to IAC 2024 must have been conducted even earlier.
Although the papers’ titles don’t match, the connection between those two papers becomes apparent when you compare the section underlined in green of the newly released paper you shared today…
View attachment 84806
… with my bolded quote below, which is an excerpt from the October 2024 conference paper’s conclusion:
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-454705
View attachment 84808
Also note that both papers refer to the exact same contract number for the ESA funding, which was awarded in the framework of the Ariadna research program: 4000135881/21/NL/GLC/my
Another hint that this research involving AKD1000 must have been conducted quite a while ago is the fact that co-authors Dominik Dold and Alexander Hajiivanov are still listed as members of the ESA Advanced Concepts Team (ACT) in Noordwijk, The Netherlands, although both of them already left ACT back in September 2024 to become a Marie Skłodowska-Curie Research Fellow with the Faculty of Mathematics at Universität Wien (University of Vienna) resp. a Research Software Engineer at the Netherlands eScience Center:
View attachment 84831
Dominik Dold - Home
dodo47.github.io
View attachment 84809
View attachment 84810
View attachment 84829
View attachment 84830
Who knows - maybe the release of the revised paper has to do with Politecnico di Milano being a project partner of the Europe Defense Fund (EDF) research project ARCHYTAS (ARCHitectures based on unconventional accelerators for dependable/energY efficienT AI Systems), which I happened to come across two months ago?
The above paper titled “Energy efficient analysis of Spiking Neural Networks for space applications”* by current and former researchers from Politecnico di Milano and ESA (published on arxiv.org in May 2025) was also published on SciOpen yesterday (“the open access resource of scientific and technical content published by Tsinghua University Press and its publishing partners”) as an article appearing in Astrodynamics, Volume 9, Issue 6 (December 2025) - almost a year after it got accepted:
*which appears to be a revised version of the conference paper “Investigation of low-energy spiking neural networks based on temporal coding for scene classification” presented at the 75th International Astronautical Congress (IAC), Milan, Italy, 14-18 October 2024 (see my first tagged post)
Lunghi P, Silvestrini S, Dold D, et al. Energy efficiency analysis of Spiking Neural Networks for space applications. Astrodynamics, 2025, 9(6): 909-932. https://doi.org/10.1007/s42064-024-0256-y
Energy efficiency analysis of Spiking Neural Networks for space applications
<p>While the exponential growth of the space sector and new operative concepts ask for higher spacecraft autonomy, the development of AI-assisted space systems was so far hindered by the low availability of power and energy typical of space applications. In this context, Spiking Neural Networks...
Last edited:
Pom down under
Top 20
Ty you’ve made my day already
Pom down under
Top 20
Pom down under
Top 20
smoothsailing18
Regular
Iam positive we will get there real soon
.On another forward thinking point, a couple of interesting likes from Linkedin....Semiens
Attachments
perceptron
Regular
Why would a bottle manufacturing company only charge a customer the variable costs associated to produce the bottle?
Apologies if posted already
www.cnx-software.com
www.linkedin.com
Brainchip AKD1500 PCIe/SPI Edge AI co-processor to power battery-operated wearables and IoT devices - CNX Software
BrainChip AKD1500 is an ultra-efficient Edge AI co-processor delivering up to 800 GOPS while consuming just 300 mW of power, making it suitable for
www.cnx-software.com
BrainChip ADK1500 is an ultra-efficient Edge AI co-processor for battery-powered wearables and IoT devices. https://lnkd.in/gtGDvQX4 It consumes just around 300mW while delivering 800 GOPS of… | CNX Software Limited
BrainChip ADK1500 is an ultra-efficient Edge AI co-processor for battery-powered wearables and IoT devices. https://lnkd.in/gtGDvQX4 It consumes just around 300mW while delivering 800 GOPS of performance. Since it offers PCIe and SPI host interfaces, it is suitable for resource-constrained MCUs...
https://www.linkedin.com/posts/edge...-the-clouds-activity-7396009251258687488-cH6A
Begin at remaining time 2:43:30
Begin at remaining time 2:43:30
Frangipani
Top 20
Hi @manny100,
at first, I didn’t get what you meant, as the October newsletter I had received in my inbox last week (browser version: https://mailchi.mp/brainchip/brainchip-monthly-newsletter-12819604) didn’t reveal any of this, even after clicking on all the different links it contained.
However, Professor Google kindly helped me to find those mysterious references to the new collaboration resp. partnership you had quoted. They weren’t in the actual October newsletter itself, though, but instead in a supposed summary of that newsletter on the BrainChip website - here’s the link, in case anyone else were scratching their (hopefully head lice-free) heads:
October 2025 Newsletter
October 2025 Newsletter This October newsletter highlights major product, partnership, and industry developments at BrainChip. The issue announces the launch of the AKD1500, a next-generation ultra-efficient edge AI processor designed to deliver higher performance while keeping power...
brainchip.com
Looks like the Parsons announcement was not originally planned for the October edition of our monthly newsletter, then?
Will we hear more about the collaboration with SRS Provenance and the partnership with PreAct in the November issue instead?
Or sooner via social media channels, now that this info has been leaked anyway?
(Not that these are exactly household names that will get us all excited and the BRN share price moving north…)
Another discrepancy between the newsletter’s supposed summary and the actual newsletter that got mailed last week is the mention resp. omission of Semicon Europa 2025, which is currently taking place in Munich (18-21 November).
“BrainChip’s appearance at Semicon Europa 2025” seems to have originally been the plan, but for some reason appears not to have worked out, as the name of our company neither shows up on the Speakers’ list nor on the list of Exhibitors (https://www.semiconeuropa.org/).
So unless this was an AI-generated newsletter summary with several hallucinations or a single person with major memory issues who wrote both texts, it appears there must have been two different authors at different points in time, but unfortunately no proofreading - which is evidently more than just spell checking…
Frangipani
Top 20
Maybe I missed it or forgotten about but this project appears to have only just started at the beginning of Sept with OHB, fortiss etc.
AI4FDIR - fortiss
The research projects at fortiss Institut contribute to the sustainable development of research and economy. All projects are based on the basic competence "software-intensive systems and services".www.fortiss.org
AI4FDIR
AI-based system for fault detection, recovery, and resource management in satellites
AI4FDIR
AI4FDIR is an ESA-funded project led by OHB System AG to develop an AI-based framework for autonomous fault detection, isolation, and recovery (FDIR), as well as constellation-level management and resource optimization in satellite telecommunication systems. By combining machine learning, deep learning, and neuromorphic computing, the project targets a tenfold reduction in both operational outage time and the time to restore nominal service. The consortium—comprising OHB DC, OHB Hellas, SATE, Kepler, and fortiss—will validate the approach through simulators and hardware-in-the-loop platforms, including BrainChip’s Akida neuromorphic processors. fortiss will implement a neuromorphic proof-of-concept for spacecraft-level FDIR.
Project description
The project addresses the need for greater autonomy in managing large satellite constellations, where traditional ground-based fault management is costly, slow, and increasingly impractical. The main challenge is to detect, isolate, and resolve failures on board in real time, while predicting potential degradations before they affect service.
To tackle this, the consortium combines advanced AI methods with neuromorphic hardware, enabling fast, low-power decision-making directly on spacecraft. This proof-of-concept approach will demonstrate how predictive monitoring and autonomous recovery can reduce outage and restoration times by an order of magnitude and pave the way for resilient, self-managing space systems.
Research contribution
fortiss will investigate CNN-based classification and detection algorithms on the BrainChip Akida platform. In addition, we will explore pattern-matching techniques, encoders, and complementary network architectures to process heterogeneous multi-channel inputs. As a first step, we will use the public ESA anomaly dataset to identify suitable network models for fault detection. Building on these results, we will validate the implemented algorithms using real-time data from Kepler and the OHB constellation simulator.
Funding
European Space Agency and OHB System
Project duration
01.09.2025 - 31.08.2027
Your contact
Dr. Axel von Arnim
+49 89 3603522 538
vonarnim@fortiss.org
Your contact
Priyadarshini Kannan
+49 89 3603522 275
kannan@fortiss.org
Project partner
View attachment 92129
Quote from the above fortiss project webpage @Fullmoonfever shared last month:
(https://www.fortiss.org/en/research/projects/detail/ai4fdir):
“AI4FDIR
AI4FDIR is an ESA-funded project led by OHB System AG to develop an AI-based framework for autonomous fault detection, isolation, and recovery (FDIR), as well as constellation-level management and resource optimization in satellite telecommunication systems. By combining machine learning, deep learning, and neuromorphic computing, the project targets a tenfold reduction in both operational outage time and the time to restore nominal service. The consortium—comprising OHB DC, OHB Hellas, SATE, Kepler, and fortiss—will validate the approach through simulators and hardware-in-the-loop platforms, including BrainChip’s Akida neuromorphic processors. fortiss will implement a neuromorphic proof-of-concept for spacecraft-level FDIR.[…] fortiss will investigate CNN-based classification and detection algorithms on the BrainChip Akida platform.”
#spacetechexpo | Axel von Arnim
Our ESA project AI4FDIR, about anomaly detection in SATCOM constellations, met today at #SpaceTechExpo in Bremen. Partners OHB, SATE and ESA exchanged on the scope of the project. I was also impressed by the vibrant diversity of space players and the adoption of edge AI in many space...
Similar threads
