BRN Discussion Ongoing

Tothemoon24

Top 20
If you were truly grateful you wouldn’t be asking for links …..🀨

I’ve spent several hours putting together your links as requested please enjoy

πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ€¨πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—
 
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Boab

I wish I could paint like Vincent
A bit of fun to start the week off.
This ones for you @Pom down under
West Ham.jpg
 
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Guzzi62

Regular
If you can post the content, why can't you also post the link? Why do we all have to start searching now?

It is normal to post links also, in every forum. In many forums, the post even gets deleted when you do not post the link to it.

I am grateful for your posts, no doubt, but it is annoying that the links are mostly missing.
Absolutely agree, it's so easy to do since the poster is on the site quoted anyway, I don't get it?
 
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MDhere

Top 20
If you were truly grateful you wouldn’t be asking for links …..🀨

I’ve spent several hours putting together your links as requested please enjoy

πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ€¨πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—πŸ”—
Can I like this post twice x the number of πŸ”—s 🀣
 
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Frangipani

Top 20
Check this out: The Neurobus website has been redesigned - and the familiar URL https://neurobus.space will now automatically forward to www.neurobus.ai
Their new motto is β€œNeuromorphic intelligence for autonomous systems
inspired by the human biology, built for the edge.
”

While BrainChip, Intel and Prophesee - all three their partners according to the previous Neurobus website - no longer show up on the redesigned website, the team at Neurobus obviously still need suppliers of neuromorphic processors and event-based sensors for the solutions they offer.

Which brings me to the next topic, namely the brand new β€œProducts” section, and apparently all four solutions currently offered by Neurobus can already be ordered (although there is no estimated delivery date given):

- Ground Station for Drone Detection
- Autonomous Drone Detection
- Space-based Surveillance
- Autonomous Defense Intelligence


VERY intriguing, isn’t it?!

Which begs the question, though, whether these are made-to-order solutions.
And whether β€œpre-order now” would have been a more realistic button than β€œorder now”.

If not - and of course provided we are indeed involved in any of the offered solutions - wouldn’t it be high time for a joint partnership announcement or some other official announcement of a commercial arrangement? Or will watching the financials be the only way we will find out that a Neurobus customer had previously signed on the dotted line for a product that involves BrainChip technology?

Unfortunately you need to email Neurobus to β€œAsk for Specs”.

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In my tagged 23 June post, I had referred to an interview in which CEO Florian Corgnou mentioned NeurOS, an embedded operating system that Neurobus is developing internally. Unfortunately, there is currently no further information available when you click on the above β€œCustom Software Stack” tile - and neither for any other of the β€œtechnology foundations” tiles.



A current job opening for an internship with Neurobus as their CEO’s β€œright hand” reveals two more interesting facts:

1. Neurobus are currently not only working with Airbus and CNES (which we we already knew), but also with the French Ministry of Armed Forces

and

2. Neurobus are planning an upcoming €5 million seed fundraising round.


No more mention of any current collaboration with Mercedes-Benz, though.
(see my 12 November 2024 post: https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-441454)


View attachment 88790

Speaking of Neurobus CEO Florian Corgnou.

I discovered this by chance the other day:

View attachment 90905


The second LinkedIn account was registered in July 2025 - so far β€œNothing to see here”, though…


View attachment 90906


Highly unlikely it merely happens to be a namesake, especially given the company’s expertise in the drone sector…


Our partner Neurobus is currently advertising several Paris-based job openings, with start dates ranging from November 2025 to January 2026.


7908B2E3-6BB9-4053-B390-FF097B1825F9.jpeg



One of the job ads - that for a Senior System Engineer (start date 5 January 2026) - explicitly mentions β€œFamiliarity with neuromorphic hardware components (Brainchip Akida processor, Prophesee event vision sensors)” as something that will give applying candidates bonus points.




Neurobus

SENIOR SYSTEM ENGINEER​

  • Paris
  • Full-Time
  • Start Date: 05 January 2026
  • APPLY NOW

ABOUT​

Neurobus is pioneering the next generation of intelligent vision systems, combining neuromorphic computing with advanced sensing technologies. Our mission is to deliver ultra-efficient edge intelligence that enables autonomous systems to perceive, navigate, and respond in real time with minimal power consumption.

We envision a future where autonomous systems operate seamlessly and efficiently across various domains, including defense, space, smart cities, and remote environments. Our technology powers real-time situational awareness, precision navigation, and AI-driven decision-making, ensuring that autonomous platforms can operate safely and effectively in complex and dynamic environments.

Collaboration, curiosity, and technical excellence drive everything we do. Our engineers, researchers, and problem-solvers transform ambitious ideas into reality, enhancing autonomous navigation, strengthening security, and contributing to a brighter, more resilient future guided by European values.

JOB DESCRIPTION​

Neurobus is developing cutting-edge vision solutions and systems, leveraging neuromorphic technologies to enhance the intelligence and efficiency of embedded devices and robots in the Space and Defense sectors. A crucial challenge is designing and industrializing efficient, robust, and integrated custom payloads that host a variety of sensors and processing platforms.
We are seeking an experienced and highly motivated Senior System Engineer to join our growing engineering team and lead the definition, development, and industrialization of our vision payloads. This role offers the opportunity to shape the future of embedded vision systems and contribute to impactful projects in critical sectors.

PREFERRED EXPERIENCE​

🎯 What You’ll Do
As a Senior System Engineer at Neurobus, you will:
  • Lead Payload Development: Drive the prototyping and development of Neurobus’ perception and guidance systems, with a particular focus on development speed and intermediate milestones.
  • Optimize Performance: Utilize short iterative cycles to explore and implement approaches that improve performance indicators, including processing capacity, latency, and power consumption.
  • Foster External Engagement: Participate in meetings with partners, customers, and prospects, contributing to the clarification of use cases, requirements, and interfaces.
  • Define Specifications: Lead the definition and negotiation of payload specifications, aligning with product and engineering needs.
  • Collaborate Cross-Functionally: Work closely with artificial intelligence experts and product owners to refine design and architectural choices.
  • Guide Technology and Team Maturity: Contribute to the recruitment and mentorship of junior collaborators, define the engineering roadmap, and drive the industrialization of the technology.
  • Stay Current: Monitor advancements in conventional and neuromorphic systems to inform our roadmap.

πŸ§‘β€πŸ’» What You’ll Bring
  • Master’s degree or higher in Electrical Engineering, Computer Science, or a related field.
  • 5+ years of experience in system engineering with a focus on edge intelligence systems.
  • Proven experience in designing and developing complex vision-based AI systems.
  • Experience negotiating specifications and interfaces with external customers/partners.
  • Experience with the industrialization process of embedded vision platforms.
  • Excellent communication, collaboration, and leadership skills.
  • Fluency in English.

Bonus Points​

  • 10+ years of experience in the embedded vision industry.
  • Experience in the aerial robotics, space, or defense industries.
  • Familiarity with neuromorphic hardware components (Brainchip Akida processor, Prophesee event vision sensors).
  • Experience integrating edge AI accelerators (mobile GPU, DSP, FPGA).
  • Experience with custom kernel and user-space embedded software.
  • Experience with custom mechatronics development.
  • Experience with agile development methodologies.

🌱 Benefits & Perks
  • A supportive and flexible work environment where innovation and growth are mutually reinforcing.
  • Comprehensive health insurance.
  • Regular team events, including afterworks and off-sites.
  • Stock options (BSPCE) and performance-based bonuses.
  • Relocation support for international candidates.
  • A culture where ambitious ideas become reality while maintaining a healthy work-life balance.
🀝 Neurobus is an Equal Opportunity Employer
We are committed to creating a diverse and inclusive workplace where everyone feels valued and respected. We encourage applications from individuals of all backgrounds, identities, and experiences, particularly those who are underrepresented in the robotics field.

RECRUITMENT PROCESS​

  • Screening Call (45 min) – Introductory video call with our CTO.
  • Online Test – Short coding/technical assessment.
  • Technical Interview (1h30) – In-depth discussion with the CTO and engineering team.
  • Cultural Fit (1h) – Conversation with our CEO about vision, values, and alignment.

ADDITIONAL INFORMATION​

  • Contract Type: Full-Time
  • Start Date: 05 January 2026
  • Location: Paris
  • Education Level: Master's Degree
  • Experience: > 5 years
  • Occasional remote authorized
  • Salary: between 55000€ and 70000€ / year
 
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Boab

I wish I could paint like Vincent
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Frangipani

Top 20
A new employee:
Richard Resseguie recently started working for us as Senior Product Manager.


View attachment 80398

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I give him 6 months 🀣🀌

Hey, @FiveBucks, pretty close, just a wee bit more!
You should be thinking about offering your services as a clairvoyant! πŸ˜‰

But joking aside, from my perspective our company evidently has a problem with retaining staff - and I personally don’t think the lure of a bigger pay package somewhere else is the main reason for the high staff turnover.

Richard Resseguie had only joined us in March as a Senior Product Manager, yet left our company earlier this month to join Cognite as a Senior Product Manager for Atlas AI.


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And this despite appearing to be convinced about the disruptive nature and quality of our tech:

A video of Richard Resseguie, Senior Product Manager at BrainChip, demonstrating an end-to-end audio pipeline based on TENNs at the 2025 Embedded Vision Summit in May.

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Frangipani

Top 20
Sadly, Richard Resseguie is not the only Richard to have left BrainChip this month (saying that, hopefully there won’t be any Richard III, other than in some of our bookshelves…):

Richard Chevalier, who had been with our Toulouse-based office since 2018 (!), has joined Nio Robotics (formerly known as Nimble One, not to be confused with Nimble AI) as their Vice President of Platform Engineering:



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One can only hope that he will spruik BrainChip’s technology to his new employer - as far as I can tell, there is no indication that Nio Robotics have already been exploring neuromorphic computing for their robots.

ebdcd98d-ca8f-4c78-bbb4-24c9cb38ee79-jpeg.91395



Nio Robotics is currently building Aru, a shape-shifting mobile robot for industrial environments, but also say in their self-description on LinkedIn that they are β€œreinventing movement to create the first robotic assistant for homes”.
Something our CTO Tony Lewis, who is also a robotics researcher, will likely be very intrigued about.




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Watch Aru in action below, how it climbs stairs, reshapes to avoid obstacles, opens doors etc.





 

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TECH

Regular
Our partner Neurobus is currently advertising several Paris-based job openings, with start dates ranging from November 2025 to January 2026.
View attachment 91386
One of the job ads - that for a Senior System Engineer (start date 5 January 2026) - explicitly mentions β€œFamiliarity with neuromorphic hardware components (Brainchip Akida processor, Prophesee event vision sensors)” as something that will give applying candidates bonus points.
Neurobus

SENIOR SYSTEM ENGINEER​

  • Paris
  • Full-Time
  • Start Date: 05 January 2026
  • APPLY NOW

ABOUT​

Neurobus is pioneering the next generation of intelligent vision systems, combining neuromorphic computing with advanced sensing technologies. Our mission is to deliver ultra-efficient edge intelligence that enables autonomous systems to perceive, navigate, and respond in real time with minimal power consumption.
We envision a future where autonomous systems operate seamlessly and efficiently across various domains, including defense, space, smart cities, and remote environments. Our technology powers real-time situational awareness, precision navigation, and AI-driven decision-making, ensuring that autonomous platforms can operate safely and effectively in complex and dynamic environments.
Collaboration, curiosity, and technical excellence drive everything we do. Our engineers, researchers, and problem-solvers transform ambitious ideas into reality, enhancing autonomous navigation, strengthening security, and contributing to a brighter, more resilient future guided by European values.

JOB DESCRIPTION​

Neurobus is developing cutting-edge vision solutions and systems, leveraging neuromorphic technologies to enhance the intelligence and efficiency of embedded devices and robots in the Space and Defense sectors. A crucial challenge is designing and industrializing efficient, robust, and integrated custom payloads that host a variety of sensors and processing platforms.
We are seeking an experienced and highly motivated Senior System Engineer to join our growing engineering team and lead the definition, development, and industrialization of our vision payloads. This role offers the opportunity to shape the future of embedded vision systems and contribute to impactful projects in critical sectors.

PREFERRED EXPERIENCE​

🎯 What You’ll Do
As a Senior System Engineer at Neurobus, you will:
  • Lead Payload Development: Drive the prototyping and development of Neurobus’ perception and guidance systems, with a particular focus on development speed and intermediate milestones.
  • Optimize Performance: Utilize short iterative cycles to explore and implement approaches that improve performance indicators, including processing capacity, latency, and power consumption.
  • Foster External Engagement: Participate in meetings with partners, customers, and prospects, contributing to the clarification of use cases, requirements, and interfaces.
  • Define Specifications: Lead the definition and negotiation of payload specifications, aligning with product and engineering needs.
  • Collaborate Cross-Functionally: Work closely with artificial intelligence experts and product owners to refine design and architectural choices.
  • Guide Technology and Team Maturity: Contribute to the recruitment and mentorship of junior collaborators, define the engineering roadmap, and drive the industrialization of the technology.
  • Stay Current: Monitor advancements in conventional and neuromorphic systems to inform our roadmap.

πŸ§‘β€πŸ’» What You’ll Bring
  • Master’s degree or higher in Electrical Engineering, Computer Science, or a related field.
  • 5+ years of experience in system engineering with a focus on edge intelligence systems.
  • Proven experience in designing and developing complex vision-based AI systems.
  • Experience negotiating specifications and interfaces with external customers/partners.
  • Experience with the industrialization process of embedded vision platforms.
  • Excellent communication, collaboration, and leadership skills.
  • Fluency in English.

Bonus Points​

  • 10+ years of experience in the embedded vision industry.
  • Experience in the aerial robotics, space, or defense industries.
  • Familiarity with neuromorphic hardware components (Brainchip Akida processor, Prophesee event vision sensors).
  • Experience integrating edge AI accelerators (mobile GPU, DSP, FPGA).
  • Experience with custom kernel and user-space embedded software.
  • Experience with custom mechatronics development.
  • Experience with agile development methodologies.

🌱 Benefits & Perks
  • A supportive and flexible work environment where innovation and growth are mutually reinforcing.
  • Comprehensive health insurance.
  • Regular team events, including afterworks and off-sites.
  • Stock options (BSPCE) and performance-based bonuses.
  • Relocation support for international candidates.
  • A culture where ambitious ideas become reality while maintaining a healthy work-life balance.
🀝 Neurobus is an Equal Opportunity Employer
We are committed to creating a diverse and inclusive workplace where everyone feels valued and respected. We encourage applications from individuals of all backgrounds, identities, and experiences, particularly those who are underrepresented in the robotics field.

RECRUITMENT PROCESS​

  • Screening Call (45 min) – Introductory video call with our CTO.
  • Online Test – Short coding/technical assessment.
  • Technical Interview (1h30) – In-depth discussion with the CTO and engineering team.
  • Cultural Fit (1h) – Conversation with our CEO about vision, values, and alignment.

ADDITIONAL INFORMATION​

  • Contract Type: Full-Time
  • Start Date: 05 January 2026
  • Location: Paris
  • Education Level: Master's Degree
  • Experience: > 5 years
  • Occasional remote authorized
  • Salary: between 55000€ and 70000€ / year
 
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Frangipani

Top 20


08611C15-14EB-42F6-94AC-4ACCE456A9AC.jpeg




How Federal CTOs are Evolving Digital Strategies for Mission Success​


shutterstock_2267296991-1024x683.jpg


Leaders from the Department of Defense and industry came together for the β€œFederal Executive Forum CTO’s Profiles in Excellence in Government 2025: Innovation and Emerging Technologies” webinar to discuss how federal agencies are evolving their digital strategies to support mission success. Their conversation focused on edge computing, AI, infrastructure modernization, and talent development. The discussion showed how quickly change occurs and how coordination is becoming more necessary.

The panelist of speakers included:
  • Ramesh Menon, Chief Technology Officer (CTO), Defense Intelligence Agencyβ€―
  • Dan DelGrosso, CTO, Defense Threat Reduction Agency
  • Lance Scott, CTO, Federal Electronic Health Record Management Office, Joint Department of Defense and Veterans Affairs Office
  • Lamont Copeland, Senior Director, Federal Solutions Architecture, Verizon

Using Edge AI to Reduce Decision Time

Ramesh Menon, CTO at the Defense Intelligence Agency (DIA), outlined how DIA is using edge AI to process information closer to where it’s collected, especially in contested environments. Menon stated, β€œWe are leveraging edge AI and extending algorithms to the edge so we can reduce the decision support time…We are continuing to build on that success as we integrate unmanned capabilities into manned missions.

Menon also spoke about DIA’s involvement in neuromorphic computing. β€œDIA is a transition partner for the neuromorphic AI chip, working with USDR and AFRL,” he explained. The goal is to provide a full-stack digital infrastructure to support the administration’s new operational priorities, including the Golden Dome initiative.

β€œIf we don’t define our requirements, have a clear roadmap, and have a clear reference architectureβ€”it is going to be very tough for any agency,” he said, emphasizing that progress depends on people just as much as tools.



Modernizing Infrastructure for Mission Agility

Dan DelGrosso, Chief Technology Officer at the Defense Threat Reduction Agency (DTRA), shared that being prepared is the first step towards success with emerging technologies. β€œIf we don’t modernize our infrastructure, we’re not going to be able to absorb the new technology.”

Network integration, contractor consolidation, and building a unified DevSecOps environment are DelGrosso’s team priorities. This approach focuses on alignment with mission partners and streamlining processes to accelerate delivery without compromising security.

AI to Support Clinicians

Lance Scott, CTO at the Federal Electronic Health Record Management Office (FERHM), highlighted how they are using AI to enhance care and reduce the workload for clinicians. He shared a successful use case from a military entrance processing station (MEPS). β€œWe worked with MEPS clinicians to develop what we call the MEPS button.” With just one click, this tool allows clinicians to screen for more than 1,000 conditions. β€œIt’s reduced their workflow times by up to 80 percent and saved them millions of dollars.”

With a major shift to Oracle Cloud Infrastructure and 13 VA sites scheduled for deployment in 2026, FERHM is striking a balance between operational stability and innovation. β€œIf we do our job right as technologists, there should be very little that’s seen by the functional usersβ€”except that it works better, faster, and it’s more efficient.”

Scott, however, cautioned against adopting technology without considering the human side. β€œWe always ask: does this make sense? We don’t want something to go out to the field and hear, β€˜Who designed this?”

Building for the Edge and Beyond

Lamont Copeland, Senior Director, Federal Solutions Architecture at Verizon discussed the infrastructure demands for edge computing, cloud, and AI. β€œA lot of this will not happen or take place without strong infrastructure underneath.”

Among their initiatives are government-ready SD-WAN services and long-haul fiber builds under their AI Connect program. β€œYou’re going to see a bigger proliferation of these capabilities to the edge,” noting that drones, sensors, and other AI-enabled systems rely on both wired and wireless performance.

Additionally, Copeland emphasized the need for built-in security across evolving network environments, especially as agencies prepare for future encryption standards. He noted the growing importance of secure connectivity in wired and wireless systems, β€œWe’re working with NIST standards to embed quantum-resistant encryption.” As workloads shift to the edge, maintaining performance, interoperability and resilience will be critical for supporting mission needs.
Aligning Talent and Technology

All the panelists emphasized that technology alone isn’t enough, mission success depends on skilled personnel, strong collaboration between industry and agencies and clear alignment with agency and administration goals. The future of federal IT will be shaped by this combination of talent, coordination, and adaptability as agencies adopt AI, modernize infrastructure, and prepare for emerging threats.

Watch the full Federal Executive Forum CTO episode here.

  • by Jessica Nguyen
Jessica Nguyen is a writer for Government Technology Insider specializing in digital transformation. She is a graduate of San Jose State University.
 
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manny100

Top 20
Hey, @FiveBucks, pretty close, just a wee bit more!
You should be thinking about offering your services as a clairvoyant! πŸ˜‰

But joking aside, from my perspective our company evidently has a problem with retaining staff - and I personally don’t think the lure of a bigger pay package somewhere else is the main reason for the high staff turnover.

Richard Resseguie had only joined us in March as a Senior Product Manager, yet left our company earlier this month to join Cognite as a Senior Product Manager for Atlas AI.


View attachment 91389


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And this despite appearing to be convinced about the disruptive nature and quality of our tech:






View attachment 91388
Hi Fangipani, any theories in relation to staff retention at BRN?
 
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FJ-215

Regular
Sadly, Richard Resseguie is not the only Richard to have left BrainChip this month (saying that, hopefully there won’t be any Richard III, other than in some of our bookshelves…):

Richard Chevalier, who had been with our Toulouse-based office since 2018 (!), has joined Nio Robotics (formerly known as Nimble One, not to be confused with Nimble AI) as their Vice President of Platform Engineering:



View attachment 91392




View attachment 91394


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One can only hope that he will spruik BrainChip’s technology to his new employer - as far as I can tell, there is no indication that Nio Robotics have already been exploring neuromorphic computing for their robots.

ebdcd98d-ca8f-4c78-bbb4-24c9cb38ee79-jpeg.91395



Nio Robotics is currently building Aru, a shape-shifting mobile robot for industrial environments, but also say in their self-description on LinkedIn that they are β€œreinventing movement to create the first robotic assistant for homes”.
Something our CTO Tony Lewis, who is also a robotics researcher, will likely be very intrigued about.




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Watch Aru in action below, how it climbs stairs, reshapes to avoid obstacles, opens doors etc.






Hi Fran,

Very sad but thankyou for sharing.
 
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CHIPS

Regular
I hope that BrainChip will become huge (okay, I hope so also for my account) so that all those people leaving BRN after such a short time will truly regret it.

The second Richard had stayed with BRN for over seven years, so I can understand that he wants a change. However, the first Richard probably took the BRN job to fill the gap until he found something else. It is not always BrainChip's fault that people leave!
 
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TopCat

Regular
I haven’t heard of EMASS before. Anyone else?


September 16, 2025

EMASS Emerges from Stealth to Redefine Edge AI​


ECS-DoT 22nm processor delivers always-on, milliWatt-scale local intelligence
LOS ANGELES (Sept. 16, 2025) – EMASS, a Nanoveu subsidiary emerging from stealth with next-generation semiconductor technology, has introduced the ECS-DoT, their edge AI system-on-chip (SoC). The new design enables always-on, milliWatt-scale intelligence for edge devices, eliminating the need for cloud-based computation. With this chip, EMASS is targeting the extreme edge of the network, an area occupied by compact and lightweight connected devices powered by small batteries. Application examples include medical wearables and sensor modules operating adjacent to the sensors they support.
The ECS-DoT is designed with four megabytes of on-board SRAM, enabling AI computations to run efficiently on edge and IoT devices. By processing data locally, the chip dramatically reduces latency and power consumption, opening the door for always-on intelligence in wearables, drones and predictive maintenance-dependent systems.
β€œWe are thrilled to bring EMASS out of stealth and introduce the ECS-DoT to market, redefining what’s possible at the edge,” said Mark Goranson, CEO of EMASS. β€œOEMs have told us that power efficiency is the defining factor for edge AI, and ECS-DoT delivers on that promise while enabling always-on, zero-lag intelligence directly on devices.”
Compared with leading competitors, ECS-DoT operates up to 93% faster while consuming 90% less energy, all while supporting true multimodal sensor fusion on-device, eliminating the need for cloud processing.

Key ECS-DoT metric comparison:

MetricEMASS ECS-DoTCompetitor ACompetitor B
Power per Inference0.1-5β€―mW5-100β€―mW30-150β€―mW
Latency (ms)<1010-1510-100
Energy per Inference1-10β€―Β΅J30-150 Β΅J100-2,000 Β΅J
On-Device MemoryUp to 2MB SRAM + 2MB MRAM/RRAMUp to 1MB SRAM 2MB SRAM with optional 2MB MRAM
Multimodal Sensor FusionYes, milliwatt-scaleLimitedLimited
Always-On Viable?YesNoNo

 
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Frangipani

Top 20
Here is the recording of Friday’s InsightJam expert panel on AI Infrastructure Strategy: Build, Buy, and Orchestrate for Intelligence at Scale, also featuring Jonathan Tapson:


8875946A-EBAB-4E3A-B15B-328E91B31C4D.jpeg







β€œThis roundtable brings together industry leaders to examine the strategic frameworks that drive AI infrastructure investments, exploring the true cost dynamics beyond obvious compute expenses to uncover hidden costs from ungoverned AI proliferation across business units. Their discussion will focus on balancing build-versus-buy decisions, examining governance frameworks that enable coordinated infrastructure choices while avoiding technological silos, and identifying critical decision points that signal when fundamental strategy shifts are needed.”
 
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