BRN Discussion Ongoing

We know that Tata is committed to using AKIDA.
" Tata Elxsi’s partnership with BrainChip will be driving Akida™ technology into medical devices and industrial applications by leveraging BrainChip’s first-to-market, fully digital, neuromorphic technology to provide intelligent, low-power solutions to these demanding target markets."
link: https://brainchip.com/brainchip-and... –,as a partner to its Essential AI ecosystem.

Arijit Mukherjee of Tata (TCS) co authored several papers that focus on BrainChip’s Akida neuromorphic platform and Edge AI.
I asked AI " What are the potential uses that TATA can put the findings of the reports to and what is the liklihood of this happenning and timeframes for development up to commercial launch"
Its AI so take care especially with estimated dates of commercial readiness of products.
The real take away is it gives us confidence that Tata will produce the 'goods' as it said in the partnership ann.
Text below:

Potential Applications of the Findings​

Below is an overview of how Tata (TCS/Tata Elxsi) can leverage each report’s results, the likelihood of adoption, and estimated timelines from development to commercial rollout.

1. On-board Cloud-Cover Detection for Small Satellites​

Key Capability: Real-time, low-power filtering of cloudy frames before downlink using Akida’s spiking neural network.

• Use Cases
  • Earth-observation nanosatellite constellations for agricultural monitoring, disaster response and environmental sensing
  • Unmanned aerial vehicles (UAVs) performing on-the-fly scene selection to conserve bandwidth
• Likelihood of Adoption • Medium – High. TCS has deep ties with satellite integrators and government space programs; initial pilots likely within R&D divisions.
• Timeframe
  1. 2024–2025: Prototype integration on demonstration CubeSat platforms
  2. 2026–2027: First commercial small-sat constellations offering “smart downlink” as a service

2. Embedded Edge-AI Engines for Autonomous Systems​

Based on: “Creating Futuristic Edge Systems with Neuromorphic Computing” white paper

• Use Cases
  • Autonomous vehicles: event-driven obstacle and gesture detection to boost safety and reduce latency
  • Industrial robots and factory automation: ultra-low-power vision tasks (defect detection, motion tracking)
  • Smart cameras and wearables: always-on sign-language translators and interactive HMI
• Likelihood of Adoption • High. Tata Elxsi’s current partnership with BrainChip targets medical and industrial segments, indicating strong commercial intent.
• Timeframe
  1. 2024: Edge-AI dev kits with Akida engines for select OEMs
  2. 2025–2026: Full-scale deployment in automotive ADAS modules and factory vision systems
  3. 2026–2028: Consumer-grade wearables and AR/VR devices with embedded spiking-NN inference

3. Real-Time Gesture Recognition in Human-Machine Interfaces​

Demo: NeurIPS 2019 hands-on (DVS camera → Akida SNN)

• Use Cases
  • Touchless controls in smart homes, medical consoles, and public kiosks
  • VR/AR gesture interfaces with sub-millisecond response
  • Sign-language detection for accessibility tools
• Likelihood of Adoption • Medium. While the demo proves feasibility, embedding into mass-market devices requires partnerships with HMI vendors and UI standards bodies.
• Timeframe
  1. 2024: Pilot integrations with niche HMI/medical console suppliers
  2. 2025–2026: SDK release for consumer-electronics partners
  3. 2026–2027: Products shipping with turnkey gesture-AI features

Summary Table​

By capitalizing on its R&D white papers, NeurIPS demonstrations and strategic partnerships, Tata stands poised to deliver ultra-efficient, neuromorphic-powered solutions across space, industry and consumer markets within the next 2–4 years. Would you like deeper insight into any specific vertical’s go-to-market strategy?

I believe this confirmation of an “active alliance” with BrainChip is new on the Tata Elxsi website?

“Why Tata Elxsi?

(…)

• Active alliances with Brainchip for neuromorphic computing and IISc Bangalore for edge cybersecurity.”

Frangipani said:

Today, Axel von Arnim shared more information and photos about what fortiss and Interactive Wear were exhibiting at TechHub SVI 2025 earlier this week :

“Showcasing our neuromorphicly gesture-driven virtual mule robot for defence applications at the#TechHub-SVI defence conference in Munich. Together with our partners [sic] #InteractiveWear, we deliver wearable smart sensing solutions for defence and the medtech industry.”

While it doesn’t look like Akida was already part of that collaboration (not surprisingly, given the partnership between fortiss and BrainChip appears to be still quite young) and I can only spot Loihi, the showcase nevertheless demonstrates what fortiss mean when they say about themselves:

“As the Research Institute of the Free State of Bavaria for software-intensive Systems, fortiss stands for application-oriented cutting-edge research and sets standards in the research and transfer of highly innovative technologies. In close cooperation with academic and practice-oriented partners, we act as a bridge between science and industry and develop excellent solutions for the most pressing challenges of the digital world.”


On second thought: Have a look at the last two photos. Could that possibly be an Akida M.2 factor on the very left of the screen, which shows the Sensor Fusion Development Plattform MHX?
Doesn’t look identical, but similar?

Showcasing our neuromorphicly gesture-driven virtual mule robot for defence applications at the #TechHub-SVI defence conference in Munich. | Axel von Arnim

Showcasing our neuromorphicly gesture-driven virtual mule robot for defence applications at the #TechHub-SVI defence conference in Munich. Together with our partners #InteractiveWear, we deliver wearable smart sensing solutions for defence and the medtech industry.

www.linkedin.com

View attachment 88361

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Click to expand...

So the gentleman standing next to Axel von Arnim in the photo from the defense tech conference he posted yesterday is Michael Meinl, the German Director of the French-German Research Institute of Saint-Louis (ISL), a binational institution jointly operated by the French and German Ministries of Defence. (There is also a French Director).

Another ISL name that we may want to keep an eye on.

ISL’s mission is “to develop technological innovations for the armed forces and security issues”.

manny100 said:

We know that Tata is committed to using AKIDA.
" Tata Elxsi’s partnership with BrainChip will be driving Akida™ technology into medical devices and industrial applications by leveraging BrainChip’s first-to-market, fully digital, neuromorphic technology to provide intelligent, low-power solutions to these demanding target markets."
link: https://brainchip.com/brainchip-and-tata-elxsi-partner-to-provide-intelligent-ultralow-power-solutions/#:~:text=Laguna Hills, Calif. – August 28, 2023 –,as a partner to its Essential AI ecosystem.

Arijit Mukherjee of Tata (TCS) co authored several papers that focus on BrainChip’s Akida neuromorphic platform and Edge AI.
I asked AI " What are the potential uses that TATA can put the findings of the reports to and what is the liklihood of this happenning and timeframes for development up to commercial launch"
Its AI so take care especially with estimated dates of commercial readiness of products.
The real take away is it gives us confidence that Tata will produce the 'goods' as it said in the partnership ann.
Text below:

Potential Applications of the Findings​

Below is an overview of how Tata (TCS/Tata Elxsi) can leverage each report’s results, the likelihood of adoption, and estimated timelines from development to commercial rollout.

1. On-board Cloud-Cover Detection for Small Satellites​

Key Capability: Real-time, low-power filtering of cloudy frames before downlink using Akida’s spiking neural network.

• Use Cases
  • Earth-observation nanosatellite constellations for agricultural monitoring, disaster response and environmental sensing
  • Unmanned aerial vehicles (UAVs) performing on-the-fly scene selection to conserve bandwidth
• Likelihood of Adoption • Medium – High. TCS has deep ties with satellite integrators and government space programs; initial pilots likely within R&D divisions.
• Timeframe
  1. 2024–2025: Prototype integration on demonstration CubeSat platforms
  2. 2026–2027: First commercial small-sat constellations offering “smart downlink” as a service

2. Embedded Edge-AI Engines for Autonomous Systems​

Based on: “Creating Futuristic Edge Systems with Neuromorphic Computing” white paper

• Use Cases
  • Autonomous vehicles: event-driven obstacle and gesture detection to boost safety and reduce latency
  • Industrial robots and factory automation: ultra-low-power vision tasks (defect detection, motion tracking)
  • Smart cameras and wearables: always-on sign-language translators and interactive HMI
• Likelihood of Adoption • High. Tata Elxsi’s current partnership with BrainChip targets medical and industrial segments, indicating strong commercial intent.
• Timeframe
  1. 2024: Edge-AI dev kits with Akida engines for select OEMs
  2. 2025–2026: Full-scale deployment in automotive ADAS modules and factory vision systems
  3. 2026–2028: Consumer-grade wearables and AR/VR devices with embedded spiking-NN inference

3. Real-Time Gesture Recognition in Human-Machine Interfaces​

Demo: NeurIPS 2019 hands-on (DVS camera → Akida SNN)

• Use Cases
  • Touchless controls in smart homes, medical consoles, and public kiosks
  • VR/AR gesture interfaces with sub-millisecond response
  • Sign-language detection for accessibility tools
• Likelihood of Adoption • Medium. While the demo proves feasibility, embedding into mass-market devices requires partnerships with HMI vendors and UI standards bodies.
• Timeframe
  1. 2024: Pilot integrations with niche HMI/medical console suppliers
  2. 2025–2026: SDK release for consumer-electronics partners
  3. 2026–2027: Products shipping with turnkey gesture-AI features

Summary Table​

Application Domain	Likelihood	Prototype Phase	Commercial Launch
Satellite cloud-cover filtering	Medium–High	2024–2025	2026–2027
Edge-AI for autonomous vehicles & industry	High	2024	2025–2026 (industry), 2026–2028 (consumer)
Real-time touchless gesture recognition	Medium	2024	2025–2027

By capitalizing on its R&D white papers, NeurIPS demonstrations and strategic partnerships, Tata stands poised to deliver ultra-efficient, neuromorphic-powered solutions across space, industry and consumer markets within the next 2–4 years. Would you like deeper insight into any specific vertical’s go-to-market strategy?

Click to expand...

Hi Manny,

Agreed!

Tata (TCS/Tata Elxsi) + BrainChip.

It's a matter of when, not if IMO.

Frangipani said:

I believe this confirmation of an “active alliance” with BrainChip is new on the Tata Elxsi website?

“Why Tata Elxsi?

(…)

• Active alliances with Brainchip for neuromorphic computing and IISc Bangalore for edge cybersecurity.”

Edge AI Solutions for Smarter Devices and Applications

Edge AI solutions optimize device performance with low-latency, secure AI processing. Explore its impact on industries like healthcare, retail, and electronics.

www.tataelxsi.com

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Click to expand...

Wow, great find Frangipani, basically confirms that Tata are on board big time. Its a wonder we have not seen posts on linked in or X.
Its on Tatsa's website so its not inside information.
The amount of information concerning neuromorphic Edge AI and Brainchip you find is increasing exponentially which in itself is an indicator that we are getting closer to success.

Bravo said:

Hi Manny,

Agreed!

Tata (TCS/Tata Elxsi) + BrainChip.

It's a matter of when, not if IMO.

Click to expand...

An example of Tata's confidence in BrainChip perhaps?

Once again, all in my opinion.

Arijit Mukherjee (Principal Scientist, Embedded Devices & Intelligent Systems at TCS Research) is pretty quick to let Cecilia Pisano (R&D Lead Engineer at Nurjana Technologies), know how much longer Tata have been researching BrainChip.

Not something you would publicly disclose unless you were confident, you would think.

Well, that's my take on it at least.

Baneino said:

I often see criticism of BrainChip for not communicating much no flashy press releases, no constant updates. But honestly? That’s exactly one of their biggest strengths in my view.
I understand how development cycles work, how sensitive partnerships are, and how important it is to protect confidentiality. Especially when you’re dealing with technologies meant for vehicles, medical devices, or safety-critical systems.
If you talk too much, you’re out.

Click to expand...

G'Day Baneino,

Yes- in total agreement with your statement-

Quote- " I often see criticism of Brainchip for not communicating much no flashy press releases, no constant updates. But honestly? That’s exactly one of their biggest strengths in my view."- unquote

One can use Accenture as an example as "Why is it so" - as per Prof Julius Sumner Milner

Brainchip put out this -

https://brainchip.com/brainchip-tal...icer-applied-intelligence-jean-luc-chatelain/


and there was this patent application with Akida being used -by ACCENTURE




BUT SO FAR - nothing further from ACCENTURE.

NOT EVEN A LISTING ON ACCENTURE /ECOSYSTEM PARTNERS.- ( they have tended to run with NIVIDA)- but the Von Neumann bottleneck will eventually sway in BRAINCHIP's favour.

So -DO YOUR OWN RESEARCH and have faith and belief on the technology.



The BRAINCHIP PATENTS are what will be the glue of the future to ensure BRAINCHIP success and survival- (starting from JAST - to TENNS for the groundbreaking systems)

Could it be?

KMuzza said:

G'Day Baneino,

Yes- in total agreement with your statement-

Quote- " I often see criticism of Brainchip for not communicating much no flashy press releases, no constant updates. But honestly? That’s exactly one of their biggest strengths in my view."- unquote

One can use Accenture as an example as "Why is it so" - as per Prof Julius Sumner Milner

Brainchip put out this -

https://brainchip.com/brainchip-tal...icer-applied-intelligence-jean-luc-chatelain/


and there was this patent application with Akida being used -by ACCENTURE

View attachment 88405


BUT SO FAR - nothing further from ACCENTURE.

NOT EVEN A LISTING ON ACCENTURE /ECOSYSTEM PARTNERS.- ( they have tended to run with NIVIDA)- but the Von Neumann bottleneck will eventually sway in BRAINCHIP's favour.

So -DO YOUR OWN RESEARCH and have faith and belief on the technology.

Ecosystem Partners

Accenture’s ecosystem partners and suppliers bring deep expertise and the right technology to our clients for lasting value and accelerate change. Learn more.

www.accenture.com

The BRAINCHIP PATENTS are what will be the glue of the future to ensure BRAINCHIP success and survival- (starting from JAST - to TENNS for the groundbreaking systems)

Click to expand...

Thank you very much for your feedback – I see it very much the same way.
The connction between BrainChip and Accenture through Jean-Luc Chatelain and the mentioned patent filing is certainly noteworthy. Even though no official partnership or integration has been announced yet, it’s fascinating to observe what strategic developments might already be quietly unfolding in the background.
I share your view that Akida will likely gain more traction as traditional Von Neumann architecures begin to reach their limits – especially in terms of energy efficiency and edge applications.
Until then, it seems we just need a bit of patience a close eye on developments, and trust in the substance of the technology without relying on marketing fireworks.

Baneino said:

I often see criticism of BrainChip for not communicating much no flashy press releases, no constant updates. But honestly? That’s exactly one of their biggest strengths in my view.
I understand how development cycles work, how sensitive partnerships are, and how important it is to protect confidentiality. Especially when you’re dealing with technologies meant for vehicles, medical devices, or safety-critical systems.
If you talk too much, you’re out.
Discretion isn’t a weakness – it’s a core requirement.
If companies like Mercedes, Valeo or medical tech firms are working with BrainChip, they’re not looking for hype – they’re looking for reliability, maturity and trust. And that’s exactly what BrainChip delivers.
To me, this sends a clear message:
We’re not here to make noise. We’re here to deliver real solutions
People often forget: true industrial product cycles take 3–5 years, minimum especially in hardware. If you expect fireworks every month, you probably haven’t worked in this space – or you’re chasing short-term thrills. But that’s not how real value is built.

I don’t see BrainChip as a hype stock. I see a company that is slowly, solidly and respectfully building long-term partnerships with serious players. They’re not building castles in the air – they’re laying a foundation.

So let me ask do you want short-term PR or long-term substance?


I know which side I’m on.

Click to expand...

IF we are actively engaged and working with them, how come our revenues from providing engineering support is so tiny? Is that how development work where small tech firms don't charge much for their work for years and years with no promises?

Cardpro said:

IF we are actively engaged and working with them, how come our revenues from providing engineering support is so tiny? Is that how development work where small tech firms don't charge much for their work for years and years with no promises?.

Click to expand...

In the semiconductor and IP licensing world, especially with bleeding-edge technologies like neuromorphic computing, it’s not uncommon for smaller firms to collaborate for extended periods with large partners ( like Accenture, OEMs, or chipmakers) in a pre-commercial or evaluation phaseoften with very little revenue at first.
These engagements are typically strategic: The goal is to prove out integrationdemonstrate scalability and validate real-world use casesbefore any licensing or commercial contract ist finalized.
BrainChip seems to be following that pattern prioritizing long-term enablement over short-term service fees. While this may look like "no activity" on a financial level, it often reflects a high-trust, embedded collaboration behid the scenes.
It’s definitely not the traditional “consulting-for-hire” model. But if the tech proves itself, the leverage can be enormous once scaled.
So yes it’s not unusual in this field. Frustratingly quiet sometimes but not meaningless.
No matter the clouds we see today I firmly believe that beyond them, the sun is already shining waiting to warm us with its light. Patience is the gentle bridge to that bright horizon."I like to take on the role of motovating and encouriging othersespecialy at the right moments. I hope I’m not beeing intrusive, but rather contributng something positive. What I share here is my personal conviction, combinned with my experiences."

Diogenese said:

Hang on a sec, Felix - I haven't got the contact details yet.

Click to expand...

Never before has my ignore list grown as quickly as it has in the weeks since May.

Morning Chippers ,

USA, Pentagon just gave the ALL GO on drones.

Pentagon Just Made A Massive, Long Overdue Shift To Arm Its Troops With Thousands Of Drones https://share.google/csWNyipwLyXPcsNZt

Regards,
Esq.

Esq.111 said:

Morning Chippers ,

USA, Pentagon just gave the ALL GO on drones.

Pentagon Just Made A Massive, Long Overdue Shift To Arm Its Troops With Thousands Of Drones https://share.google/csWNyipwLyXPcsNZt

Regards,
Esq.

Click to expand...

Thanks for you post Esq 111.
Drones are volume consumables Ukraine churns out about 200k of drones per month According to the article.
Because they are unmanned testing will be fast tracked (fewer safety issues) and because they are cheap they will be continually updated.
Can only be good for BRN.

Cardpro said:

IF we are actively engaged and working with them, how come our revenues from providing engineering support is so tiny? Is that how development work where small tech firms don't charge much for their work for years and years with no promises?

Click to expand...

Remember the last 4C they noted we just missed out on 540K on engineering revenue. That 540K will appear on the upcoming 4C.

What I'm really watching for in the upcoming 4C is whether that $540K is accompanied by additional engineering revenue, ideally another $500K+. Thats would be a good sign things are ramping up.

Can we expect to see anything financial due to be released this month ?.

BrainChip gets a mention here.

Neuromorphic-computing market projected at US $20.4 billion by 2031.

If we capture a mere 2% it would translate into approx $400 million in annual revenue.

A 5% portion would translate in approx 1 billion.

Neuromorphic Computing Market to Reach US$ 20.4 Billion by 2031 Fueled by AI and Edge Intelligence - Persistence Market Research​

07-11-2025 09:12 AM CET | IT, New Media & Software

Press release from: Persistence Market Research​

Neuromorphic Computing Market

Market Set to Expand at 20.9% CAGR Amid Rising Demand for Brain-Inspired Computing in AI and Robotics

According to the latest study by Persistence Market Research, the global neuromorphic computing market is projected to grow significantly from US$ 5.4 billion in 2024 to US$ 20.4 billion by 2031, exhibiting a robust CAGR of 20.9% over the forecast period. This surge is primarily driven by the growing demand for low-power, high-speed computing systems, especially in artificial intelligence (AI), edge computing, and advanced robotics. Neuromorphic systems mimic the architecture and operational principles of the human brain, enabling real-time data processing and cognitive functions with significantly reduced energy consumption.

Neuromorphic computing systems are rapidly gaining traction in industries that require ultra-efficient data processing such as defense, healthcare, automotive, and industrial automation. The market is being propelled by advances in hardware design, particularly the integration of neuromorphic chips with AI frameworks, enabling improved pattern recognition, decision-making, and adaptation in uncertain environments. The edge computing segment leads the market due to the rising need for real-time inference at the device level without relying heavily on cloud infrastructure. Geographically, North America dominates the neuromorphic computing landscape, largely due to its early adoption of AI technologies, strong presence of tech giants, and heavy R&D investments in next-generation computing platforms.

Get a Sample PDF Brochure of the Report (Use Corporate Email ID for a Quick Response): https://www.persistencemarketresearch.com/samples/34726

Key Market Insights

➤ The neuromorphic computing market is set to grow more than 3.7x by 2031, driven by AI and IoT integration.
➤ Edge computing is the dominant segment due to its synergy with neuromorphic hardware for real-time decision-making.
➤ North America leads globally, thanks to extensive research initiatives and a strong base of semiconductor innovation.
➤ Increasing deployment of neuromorphic processors in autonomous vehicles and robotic systems boosts market expansion.
➤ Startups and tech giants alike are investing in neuromorphic chip development for next-gen intelligent applications.

What is the future of neuromorphic computing in AI applications?

Neuromorphic computing is expected to play a pivotal role in advancing AI applications by offering real-time learning, adaptability, and energy efficiency, which traditional Von Neumann architectures cannot match. With AI models becoming more complex, neuromorphic systems provide faster processing at lower power, especially suitable for applications in autonomous driving, smart surveillance, robotics, and edge analytics. Their brain-inspired structure enables efficient handling of unstructured data, noise tolerance, and dynamic decision-making-traits essential for developing human-like machine intelligence. As demand for smarter, faster, and greener AI grows, neuromorphic computing will become central to the next wave of AI innovation.

Market Dynamics

Drivers: The surge in AI-driven applications, the growing use of smart sensors and devices, and the push toward efficient edge computing are key drivers for the neuromorphic computing market. These systems offer unparalleled processing efficiency and are ideal for real-time applications like smart surveillance, industrial robotics, and autonomous vehicles, where latency and power efficiency are critical.

Market Restraining Factor: Despite the promise, the market faces significant challenges in terms of scalability, software compatibility, and lack of standardized programming frameworks. Neuromorphic systems require a different approach than traditional computing models, which can slow down adoption among enterprises not equipped to handle such architectural shifts.

Key Market Opportunity: The most promising opportunity lies in the integration of neuromorphic hardware in edge AI systems, particularly in sectors such as defense, automotive, and healthcare. As edge devices become more autonomous, neuromorphic processors can offer localized intelligence with minimal power draw, enabling new applications in wearable tech, drones, and real-time diagnostics.

Market Segmentation

The neuromorphic computing market is segmented by component, application, end-use industry, and deployment. By component, the market is categorized into hardware (neuromorphic chips and sensors) and software (learning algorithms and frameworks). Hardware holds the dominant share due to ongoing innovations in neuromorphic chips and their adoption in edge and AI devices. Neuromorphic sensors, capable of capturing data in a brain-like manner, are also seeing rapid uptake in autonomous navigation and surveillance applications.

Based on application, the market includes image recognition, signal processing, data mining, object detection, and others. Among these, image and signal recognition applications lead, particularly in automotive and healthcare sectors where real-time interpretation is crucial. In terms of end-use, automotive, aerospace & defense, healthcare, consumer electronics, and industrial automation are key sectors. Automotive, particularly in self-driving and driver-assistance systems, is leading due to the need for rapid, low-latency decision-making. Software advancements that enable real-time learning and self-optimization are also fostering deeper neuromorphic adoption across new AI use cases.

Regional Insights

North America remains the most dominant region in the neuromorphic computing market, supported by the presence of major semiconductor companies, high research investments, and rapid deployment of AI applications. The U.S. is leading the region with substantial funding for defense and AI-focused neuromorphic innovations, including partnerships between universities, startups, and government bodies.

Europe is showing strong momentum, particularly in automotive and robotics applications, with countries like Germany and the U.K. leading in research and development. Asia Pacific is an emerging hotspot, driven by rising tech adoption in China, Japan, and South Korea. These countries are heavily investing in AI, IoT, and next-gen chip manufacturing. Additionally, increased demand for smart electronics and autonomous technologies in the region presents significant future growth potential.

Competitive Landscape

The competitive landscape in the neuromorphic computing market is characterized by strategic collaborations, patent-driven innovation, and a race to commercialize neuromorphic hardware. Companies are also focusing on hybrid architectures that combine traditional and neuromorphic elements to ease the transition and expand use cases.

Company Insights

✦ Intel Corporation
✦ IBM Corporation
✦ BrainChip Holdings Ltd.
✦ Qualcomm Inc.
✦ Hewlett Packard Enterprise Development LP
✦ Samsung Electronics Co., Ltd.
✦ HRL Laboratories, LLC
✦ Nepes Corporation
✦ General Vision Inc.
✦ SynSense AG
✦ Applied Brain Research, Inc.

For Customized Insights on Segments, Regions, or Competitors, Request Personalized Purchase Options @ https://www.persistencemarketresearch.com/request-customization/34726

Key Industry Developments

Recent years have witnessed several key developments shaping the neuromorphic computing market. Intel's Loihi neuromorphic chip has been central to various research collaborations, showing promise in edge AI and robotics. IBM, through its TrueNorth chip project, continues to pioneer in neural-inspired computing, aiming to scale commercial applications. Meanwhile, BrainChip's Akida chip is gaining traction across smart home and security device manufacturers for its energy-efficient inference capabilities.

The market is also experiencing growing academic-industry collaborations. Universities and research labs are partnering with tech companies to develop programmable neuromorphic platforms, making it easier for developers to create applications that utilize spiking neural networks (SNNs). These developments are gradually making neuromorphic computing accessible to a broader tech community.

Innovation and Future Trends

Innovation in neuromorphic computing is centered on spiking neural networks (SNNs), 3D chip stacking, and on-device learning. Researchers are exploring how to develop chips that can learn from their environment in real time-much like biological brains. Unlike traditional AI models that require vast data centers, these innovations focus on real-world interaction and decision-making at ultra-low power, making neuromorphic devices ideal for mobile and wearable technologies.

Future trends indicate a shift toward neuromorphic-as-a-service platforms, where enterprises can access neuromorphic capabilities without building custom hardware. Furthermore, as AI grows increasingly decentralized, neuromorphic chips will be pivotal in enabling autonomous decision-making at the edge, reducing dependence on the cloud. Industries such as smart cities, healthcare, defense, and aerospace are expected to be early beneficiaries of these trends, paving the way for more human-like cognition in machines.

Explore the Latest Trending "Exclusive Article" @

Bravo said:

BrainChip gets a mention here.

Neuromorphic Computing Market to Reach US$ 20.4 Billion by 2031 Fueled by AI and Edge Intelligence - Persistence Market Research​

07-11-2025 09:12 AM CET | IT, New Media & Software

Press release from: Persistence Market Research​

Neuromorphic Computing Market

Market Set to Expand at 20.9% CAGR Amid Rising Demand for Brain-Inspired Computing in AI and Robotics

According to the latest study by Persistence Market Research, the global neuromorphic computing market is projected to grow significantly from US$ 5.4 billion in 2024 to US$ 20.4 billion by 2031, exhibiting a robust CAGR of 20.9% over the forecast period. This surge is primarily driven by the growing demand for low-power, high-speed computing systems, especially in artificial intelligence (AI), edge computing, and advanced robotics. Neuromorphic systems mimic the architecture and operational principles of the human brain, enabling real-time data processing and cognitive functions with significantly reduced energy consumption.

Neuromorphic computing systems are rapidly gaining traction in industries that require ultra-efficient data processing such as defense, healthcare, automotive, and industrial automation. The market is being propelled by advances in hardware design, particularly the integration of neuromorphic chips with AI frameworks, enabling improved pattern recognition, decision-making, and adaptation in uncertain environments. The edge computing segment leads the market due to the rising need for real-time inference at the device level without relying heavily on cloud infrastructure. Geographically, North America dominates the neuromorphic computing landscape, largely due to its early adoption of AI technologies, strong presence of tech giants, and heavy R&D investments in next-generation computing platforms.

Get a Sample PDF Brochure of the Report (Use Corporate Email ID for a Quick Response): https://www.persistencemarketresearch.com/samples/34726

Key Market Insights

➤ The neuromorphic computing market is set to grow more than 3.7x by 2031, driven by AI and IoT integration.
➤ Edge computing is the dominant segment due to its synergy with neuromorphic hardware for real-time decision-making.
➤ North America leads globally, thanks to extensive research initiatives and a strong base of semiconductor innovation.
➤ Increasing deployment of neuromorphic processors in autonomous vehicles and robotic systems boosts market expansion.
➤ Startups and tech giants alike are investing in neuromorphic chip development for next-gen intelligent applications.

What is the future of neuromorphic computing in AI applications?

Neuromorphic computing is expected to play a pivotal role in advancing AI applications by offering real-time learning, adaptability, and energy efficiency, which traditional Von Neumann architectures cannot match. With AI models becoming more complex, neuromorphic systems provide faster processing at lower power, especially suitable for applications in autonomous driving, smart surveillance, robotics, and edge analytics. Their brain-inspired structure enables efficient handling of unstructured data, noise tolerance, and dynamic decision-making-traits essential for developing human-like machine intelligence. As demand for smarter, faster, and greener AI grows, neuromorphic computing will become central to the next wave of AI innovation.

Market Dynamics

Drivers: The surge in AI-driven applications, the growing use of smart sensors and devices, and the push toward efficient edge computing are key drivers for the neuromorphic computing market. These systems offer unparalleled processing efficiency and are ideal for real-time applications like smart surveillance, industrial robotics, and autonomous vehicles, where latency and power efficiency are critical.

Market Restraining Factor: Despite the promise, the market faces significant challenges in terms of scalability, software compatibility, and lack of standardized programming frameworks. Neuromorphic systems require a different approach than traditional computing models, which can slow down adoption among enterprises not equipped to handle such architectural shifts.

Key Market Opportunity: The most promising opportunity lies in the integration of neuromorphic hardware in edge AI systems, particularly in sectors such as defense, automotive, and healthcare. As edge devices become more autonomous, neuromorphic processors can offer localized intelligence with minimal power draw, enabling new applications in wearable tech, drones, and real-time diagnostics.

Market Segmentation

The neuromorphic computing market is segmented by component, application, end-use industry, and deployment. By component, the market is categorized into hardware (neuromorphic chips and sensors) and software (learning algorithms and frameworks). Hardware holds the dominant share due to ongoing innovations in neuromorphic chips and their adoption in edge and AI devices. Neuromorphic sensors, capable of capturing data in a brain-like manner, are also seeing rapid uptake in autonomous navigation and surveillance applications.

Based on application, the market includes image recognition, signal processing, data mining, object detection, and others. Among these, image and signal recognition applications lead, particularly in automotive and healthcare sectors where real-time interpretation is crucial. In terms of end-use, automotive, aerospace & defense, healthcare, consumer electronics, and industrial automation are key sectors. Automotive, particularly in self-driving and driver-assistance systems, is leading due to the need for rapid, low-latency decision-making. Software advancements that enable real-time learning and self-optimization are also fostering deeper neuromorphic adoption across new AI use cases.

Regional Insights

North America remains the most dominant region in the neuromorphic computing market, supported by the presence of major semiconductor companies, high research investments, and rapid deployment of AI applications. The U.S. is leading the region with substantial funding for defense and AI-focused neuromorphic innovations, including partnerships between universities, startups, and government bodies.

Europe is showing strong momentum, particularly in automotive and robotics applications, with countries like Germany and the U.K. leading in research and development. Asia Pacific is an emerging hotspot, driven by rising tech adoption in China, Japan, and South Korea. These countries are heavily investing in AI, IoT, and next-gen chip manufacturing. Additionally, increased demand for smart electronics and autonomous technologies in the region presents significant future growth potential.

Competitive Landscape

The competitive landscape in the neuromorphic computing market is characterized by strategic collaborations, patent-driven innovation, and a race to commercialize neuromorphic hardware. Companies are also focusing on hybrid architectures that combine traditional and neuromorphic elements to ease the transition and expand use cases.

Company Insights

✦ Intel Corporation
✦ IBM Corporation
✦ BrainChip Holdings Ltd.
✦ Qualcomm Inc.
✦ Hewlett Packard Enterprise Development LP
✦ Samsung Electronics Co., Ltd.
✦ HRL Laboratories, LLC
✦ Nepes Corporation
✦ General Vision Inc.
✦ SynSense AG
✦ Applied Brain Research, Inc.

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Key Industry Developments

Recent years have witnessed several key developments shaping the neuromorphic computing market. Intel's Loihi neuromorphic chip has been central to various research collaborations, showing promise in edge AI and robotics. IBM, through its TrueNorth chip project, continues to pioneer in neural-inspired computing, aiming to scale commercial applications. Meanwhile, BrainChip's Akida chip is gaining traction across smart home and security device manufacturers for its energy-efficient inference capabilities.

The market is also experiencing growing academic-industry collaborations. Universities and research labs are partnering with tech companies to develop programmable neuromorphic platforms, making it easier for developers to create applications that utilize spiking neural networks (SNNs). These developments are gradually making neuromorphic computing accessible to a broader tech community.

Innovation and Future Trends

Innovation in neuromorphic computing is centered on spiking neural networks (SNNs), 3D chip stacking, and on-device learning. Researchers are exploring how to develop chips that can learn from their environment in real time-much like biological brains. Unlike traditional AI models that require vast data centers, these innovations focus on real-world interaction and decision-making at ultra-low power, making neuromorphic devices ideal for mobile and wearable technologies.

Future trends indicate a shift toward neuromorphic-as-a-service platforms, where enterprises can access neuromorphic capabilities without building custom hardware. Furthermore, as AI grows increasingly decentralized, neuromorphic chips will be pivotal in enabling autonomous decision-making at the edge, reducing dependence on the cloud. Industries such as smart cities, healthcare, defense, and aerospace are expected to be early beneficiaries of these trends, paving the way for more human-like cognition in machines.

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Has this patent from Valeo been shared before?

JB49 said:

Has this patent from Valeo been shared before?

https://patentimages.storage.googleapis.com/da/ee/5b/2f2f9cbab704fe/WO2024160994A1.pdf

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Hi @JB49,

Here's the link #89,847 to Diogenese last post about this patent.

Valeo have publicly stated that SCALA 3 is capable of 3D object detection, prediction, and fusion of Lidar, radar, camera, and ultrasonic data. This kind of multi-modal sensor fusion would definitely benefit from state-space models like TENNs that can model long-range temporal dependencies efficiently.

Diogenese has also previously said that "SCALA 3 is just the lidar electro-optical transceiver. They use software to process the signals. TENNS could be in the software."