smoothsailing18
Regular
Brilliant Bravo and to all the champions here thanks for all your efforts to keep the spirits alive, we are most definitely heading in the right direction 
.
.
BRN Discussion Ongoing
- Thread starter TechGirl
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Space Cadet
Regular
Space Cadet
Regular
Seems it is.
https://brainchip.com/adiuvo-engineering-test-drove-akida-and-heres-what-they-found/
I'm a bit behind.
SC
Things happening on the EDGE.
MegaportX
Great find Bravo,This press release on 11 July 2025 got me wondering whether Tata Exlsi was first introduced to BrainChip by Synopsys.
See the screenshot below showing a picture of BrainChip's Akida in Synopsys's "Corporate Overview for Investors May 2022"
BrainChip and Tata Elxsi officially announced their partnership on August 28, 2023, when Tata Elxsi joined BrainChip’s Essential AI ecosystem to integrate Akida neuromorphic technology into medical and industrial applications.
Tata’s continued collaboration with Synopsys (2025) builds upon their existing relationship with BrainChip, completing a triangle of opportunity IMO.
Synopsys + Tata could potentially model and test complex ECUs before production which is critical for SDV.
BrainChip + Tata could potentially allow these ECUs and future ECUs to embed real-time, energy-efficient AI inference.
IMO. DYOR.
Press Releases
Tata Elxsi and Synopsys Collaborate to Accelerate Software-Defined Vehicle Development through Advanced ECU Virtualization Capabilities
Date: Jul 11 2025
Integrated capabilities aim to simplify and speed software development and testing to help reduce related costs and de-risk production timelines
Bengaluru, India – July 11, 2025 — Tata Elxsi, a global leader in design and technology services, today announced the signing of a Memorandum of Understanding (MoU) with Synopsys, a leader in silicon to systems design solutions, to collaborate to deliver advanced automotive virtualization solutions. The MoU was signed at the SNUG India 2025 event in Bengaluru by senior leaders from both companies.
The collaboration will provide customers pre-verified, integrated solutions and services that make it easy to design and deploy virtual electronic control units (vECUs), a cornerstone technology critical for efficient software development and testing in today’s software-defined vehicles. The collaboration brings together Tata Elxsi’s engineering capabilities in embedded systems and integration with Synopsys’ industry-leading virtualization solutions that are used by more than 50 global automotive OEMs and Tier 1 suppliers to help reduce development complexity and cost, improve quality of software systems, and de-risk vehicle production timelines.
Together, the companies are already collaborating on programs with several global customers to enable vECUs, as well as software bring-up, board support package (BSP) integration, and early-stage software validation. These solutions are being deployed across vehicle domains such as powertrain, chassis, body control, gateway, and central compute, helping customers simulate real-world scenarios, validate software early, and reduce reliance on physical prototypes.
Through the collaboration, Synopsys and Tata Elxsi will further explore opportunities to scale and accelerate the deployment of electronics digital twins for multi-ECU and application specific systems.
“Our partnership with Synopsys reflects a future-forward response to how vehicle development is evolving. As OEMs move away from traditional workflows, there is growing demand for engineering services that are tightly integrated with virtualization tools. This strategic collaboration enables us to jointly address that shift with focus, flexibility, and domain depth,” said Sundar Ganapathi, Chief Technology Officer of Automotive, Tata Elxsi.
“The automotive industry’s transformation to software-defined vehicles requires advanced virtualization capabilities from silicon to systems. Our leadership enabling automotive electronics digital twins, combined with Tata Elxsi’s engineering scale and practical experience operationalising automotive system design, will simplify the adoption of virtual ECUs and thereby accelerate software development and testing to improve quality and time to market,” said Marc Serughetti, Vice President, Synopsys Product Management & Markets Group.
Tata Elxsi & Synopsys Partner to Speed SDV with Advanced ECU Virtualization
Discover how Tata Elxsi and Synopsys are accelerating software-defined vehicle (SDV) innovation with advanced ECU virtualization for faster development and validation.www.tataelxsi.com
Reminder - #28,573
View attachment 88661
Synopsys and Tata Electronics signed a Memorandum of Understanding on June 25, 2024.
Synopsys and Tata Elxsi formalized their partnership on July 11, 2025. This MoU focuses on delivering pre-verified, integrated virtualization solutions (vECUs and electronics digital twins) to accelerate software-defined vehicle development.
Sounds like Tata may be fairly advanced.
Tata Elxsi & Synopsys Partner to Speed SDV with Advanced ECU Virtualization
Discover how Tata Elxsi and Synopsys are accelerating software-defined vehicle (SDV) innovation with advanced ECU virtualization for faster development and validation.
www.tataelxsi.com
In summary, BrainChip’s Akida IP injects ultra-low-power, real-time intelligence at the edge of every automotive system. When paired with Synopsys’ silicon-to-systems EDA and virtualization flows and Tata’s integration & manufacturing capabilities, the result is a next-generation automotive platform that is smarter, more efficient, and dramatically faster to market.
Wow, @Bravo ! thank you! I thought no one had even looked at my post…This press release on 11 July 2025 got me wondering whether Tata Exlsi was first introduced to BrainChip by Synopsys.
See the screenshot below showing a picture of BrainChip's Akida in Synopsys's "Corporate Overview for Investors May 2022"
BrainChip and Tata Elxsi officially announced their partnership on August 28, 2023, when Tata Elxsi joined BrainChip’s Essential AI ecosystem to integrate Akida neuromorphic technology into medical and industrial applications.
Tata’s continued collaboration with Synopsys (2025) builds upon their existing relationship with BrainChip, completing a triangle of opportunity IMO.
Synopsys + Tata could potentially model and test complex ECUs before production which is critical for SDV.
BrainChip + Tata could potentially allow these ECUs and future ECUs to embed real-time, energy-efficient AI inference.
IMO. DYOR.
Press Releases
Tata Elxsi and Synopsys Collaborate to Accelerate Software-Defined Vehicle Development through Advanced ECU Virtualization Capabilities
Date: Jul 11 2025
Integrated capabilities aim to simplify and speed software development and testing to help reduce related costs and de-risk production timelines
Bengaluru, India – July 11, 2025 — Tata Elxsi, a global leader in design and technology services, today announced the signing of a Memorandum of Understanding (MoU) with Synopsys, a leader in silicon to systems design solutions, to collaborate to deliver advanced automotive virtualization solutions. The MoU was signed at the SNUG India 2025 event in Bengaluru by senior leaders from both companies.
The collaboration will provide customers pre-verified, integrated solutions and services that make it easy to design and deploy virtual electronic control units (vECUs), a cornerstone technology critical for efficient software development and testing in today’s software-defined vehicles. The collaboration brings together Tata Elxsi’s engineering capabilities in embedded systems and integration with Synopsys’ industry-leading virtualization solutions that are used by more than 50 global automotive OEMs and Tier 1 suppliers to help reduce development complexity and cost, improve quality of software systems, and de-risk vehicle production timelines.
Together, the companies are already collaborating on programs with several global customers to enable vECUs, as well as software bring-up, board support package (BSP) integration, and early-stage software validation. These solutions are being deployed across vehicle domains such as powertrain, chassis, body control, gateway, and central compute, helping customers simulate real-world scenarios, validate software early, and reduce reliance on physical prototypes.
Through the collaboration, Synopsys and Tata Elxsi will further explore opportunities to scale and accelerate the deployment of electronics digital twins for multi-ECU and application specific systems.
“Our partnership with Synopsys reflects a future-forward response to how vehicle development is evolving. As OEMs move away from traditional workflows, there is growing demand for engineering services that are tightly integrated with virtualization tools. This strategic collaboration enables us to jointly address that shift with focus, flexibility, and domain depth,” said Sundar Ganapathi, Chief Technology Officer of Automotive, Tata Elxsi.
“The automotive industry’s transformation to software-defined vehicles requires advanced virtualization capabilities from silicon to systems. Our leadership enabling automotive electronics digital twins, combined with Tata Elxsi’s engineering scale and practical experience operationalising automotive system design, will simplify the adoption of virtual ECUs and thereby accelerate software development and testing to improve quality and time to market,” said Marc Serughetti, Vice President, Synopsys Product Management & Markets Group.
Tata Elxsi & Synopsys Partner to Speed SDV with Advanced ECU Virtualization
Discover how Tata Elxsi and Synopsys are accelerating software-defined vehicle (SDV) innovation with advanced ECU virtualization for faster development and validation.
Reminder - #28,573
View attachment 88661
So in the end, it all makes sense somehow.
Great research as always!!
Sorry if already posted, from 1 day ago.
www.linkedin.com
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smoothsailing18
Regular
Hi Rach2512,
Am I reading this correctly that metavisions XR glasses are using Propesse technology
Sounds very exciting if this is also a possibility for brn to be involved ?.
Am I reading this correctly that metavisions XR glasses are using Propesse technology
Sounds very exciting if this is also a possibility for brn to be involved ?.
Food4 thought
Regular
Is Sean running out of time
I am wondering will September be the month when thing heat up 9 million seconds to get it done
As much as I want BrainChip to have the revenue flowing to hopefully start the train moving and the rockets
flying ,it is starting to worry me when and if Sean hasn’t got the times correct
I am wondering will September be the month when thing heat up 9 million seconds to get it done
As much as I want BrainChip to have the revenue flowing to hopefully start the train moving and the rockets
flying ,it is starting to worry me when and if Sean hasn’t got the times correctsmoothsailing18
Regular
Timing correct ?, it's all about the edge and that's we're we sit, Timing is spot on.Is Sean running out of time
I am wondering will September be the month when thing heat up 9 million seconds to get it done
As much as I want BrainChip to have the revenue flowing to hopefully start the train moving and the rockets
Go brainchip
Is Sean running out of time
I am wondering will September be the month when thing heat up 9 million seconds to get it done
As much as I want BrainChip to have the revenue flowing to hopefully start the train moving and the rockets
Based on BrainChip's communication, I'm guessing that we won't even know whether or not they achieve the $9M target in bookings this year.
Food4 thought
Regular
But they promised at the AGM to actively engage and communicate with the shareholders. I am sure that AV said that they would and will do better.
So that empty promise is hopefully not the same as our commitment to revenue this year, but I guess they won’t be able to remember what they said or signed off on will they, going on past performance's.
But in saying that there sure has been plenty of progress and linked in stories, hopefully they can be believed and something good comes out of it.
Bravo really started something.
Tata Electronics and Synopsys collaborate to accelerate customer product design and ramp for India’s first fab
The Tats/Synopsys collaboration goes way past Auto.
Remember from my last post the 2022 Synopsys Artificial Intelligence pic shows a board containing an AKIDA chip.
In June 2024, Synopsys and Tata Electronics signed an MoU to support India’s first semiconductor fab in Dholera, Gujarat.
The partnership focuses on:
See link above.
Tata Electronics and Synopsys collaborate to accelerate customer product design and ramp for India’s first fab
The Tats/Synopsys collaboration goes way past Auto.
Remember from my last post the 2022 Synopsys Artificial Intelligence pic shows a board containing an AKIDA chip.
In June 2024, Synopsys and Tata Electronics signed an MoU to support India’s first semiconductor fab in Dholera, Gujarat.
The partnership focuses on:
- Advanced factory automation
- AI-enabled yield analytics
- TCAD flow setup
- Design enablement IP and DTCO methodologies
See link above.
There has been a bit of talk about Mercedes of late.
Tata Elxsi Partners with Mercedes-Benz R&D India for SDV and Vehicle Software Engineering
On 14th May 2025 Tata Elxsi announced via press release:
" Bangalore, India, May 14, 2025: Tata Elxsi, a global leader in design and technology services, has today announced that it has been selected by Mercedes-Benz Research and Development India for Vehicle Software Engineering and Software Defined Vehicles (SDV) development."
Its a small world when it comes to auto
We also know that the Mercedes Group is big on Neuromorphic computing.
See the link below from Merc. Pics featuring 'Neuromorphic and some commentary.
" Neuromorphic computing has the potential to reduce the energy required for data processing in autonomous driving by 90 per cent compared to current systems."
We have all seen the Sally Ward article from 2022. Interestingly Jan'22. I note the Synopsys presentation (with AKIDA chip pic) was for Q1 of 2022.
Mercedes Applies Neuromorphic Computing in EV Concept Car - EE Times
If you’re browsing LinkedIn, look for posts from Tata Elxsi, MBRDI, or even Manoj Raghavan himself (CEO of Tata Elxsi)—they’ve been sharing updates.
From Linked in MBRDI :
" At the intersection of artificial intelligence and automotive engineering, curiosity is not just an asset, it is a superpower. Shruthi Ananthachar, Deputy General Manager of Autonomous Driver Assistance Development at Mercedes-Benz Research and Development India (MBRDI), embodies this quality."
Tata Elxsi Partners with Mercedes-Benz R&D India for SDV and Vehicle Software Engineering
On 14th May 2025 Tata Elxsi announced via press release:
" Bangalore, India, May 14, 2025: Tata Elxsi, a global leader in design and technology services, has today announced that it has been selected by Mercedes-Benz Research and Development India for Vehicle Software Engineering and Software Defined Vehicles (SDV) development."
Its a small world when it comes to auto
We also know that the Mercedes Group is big on Neuromorphic computing.
See the link below from Merc. Pics featuring 'Neuromorphic and some commentary.
" Neuromorphic computing has the potential to reduce the energy required for data processing in autonomous driving by 90 per cent compared to current systems."
We have all seen the Sally Ward article from 2022. Interestingly Jan'22. I note the Synopsys presentation (with AKIDA chip pic) was for Q1 of 2022.
Mercedes Applies Neuromorphic Computing in EV Concept Car - EE Times
If you’re browsing LinkedIn, look for posts from Tata Elxsi, MBRDI, or even Manoj Raghavan himself (CEO of Tata Elxsi)—they’ve been sharing updates.
From Linked in MBRDI :
" At the intersection of artificial intelligence and automotive engineering, curiosity is not just an asset, it is a superpower. Shruthi Ananthachar, Deputy General Manager of Autonomous Driver Assistance Development at Mercedes-Benz Research and Development India (MBRDI), embodies this quality."
Bravo
Meow Meow 🐾
Beyond GPUs: Why Neuromorphic Chips Could Power the Future of AI
This investment landscape is already starting to take shape12h ago · By Luke Lango, InvestorPlace Senior Investment Analyst
Key Takeaways:
- Neuromorphic chips mimic the brain’s architecture, offering massive energy savings and real-time processing for edge AI applications.
- Companies like Intel, IBM, and BrainChip are pioneering the space, while suppliers like Analog Devices, Lattice, and Synopsys stand to benefit as adoption grows.
- As AI scales and power constraints increase, neuromorphic computing could become essential infrastructure, especially for robotics, healthcare, and smart devices.
Right now, AI is quickly transforming everything from content creation and cybersecurity to drug discovery and supply chains. But beneath all the buzz around ChatGPT, autonomous agents, and trillion-dollar GPU booms, a quieter revolution is forming – one that could reshape the very foundation of how machines learn, adapt, and think…
It’s called neuromorphic computing: a brain-inspired approach to building computers.
Instead of relying on traditional CPUs and GPUs that process information in a linear way, neuromorphic systems mimic the structure and function of biological neural networks.
Think of it like this: while a traditional chip acts like a calculator, a neuromorphic chip behaves more like a brain. It uses spiking neurons that fire only when triggered, operates in parallel across massive arrays, and consumes dramatically less power.
This kind of architecture is particularly well-suited for AI tasks like pattern recognition, sensor fusion, real-time decision-making, and low-power inference at the edge (meaning directly on devices like smartphones, sensors, or robots, without needing to send data back to a distant cloud server).
In short, this seems like a revolution waiting to happen.
If you’re looking for the next big thing in AI infrastructure – the kind of leap that could enable robots to think like humans, edge devices to learn on the fly, and AI systems to run 100x more efficiently – this could very well be it…
The Next Frontier in AI: Why Neuromorphic Chips Matter Now
From where we sit, the timing for neuromorphic computing couldn’t be better.AI workloads are exploding. Edge devices are proliferating. Power consumption is becoming a major bottleneck. And everyone from chipmakers to neuroscientists is looking for the next leap forward beyond brute-force deep learning.
Neuromorphic computing could be that leap.
And this is more than a hypothetical; these devices have already been built. And while early and small, they are showing lots of promise.
According to Intel (INTC), its experimental Loihi 2 neuromorphic chip has demonstrated energy savings of up to 100x over conventional CPUs and GPUs for certain inference tasks. And Cortical Labs’ DishBrain system, which combines living neurons with silicon, has already shown the ability to learn simple games like Pong in real time.
But these achievements could be just the tip of the iceberg for what’s to come.
Where Neuromorphic AI Could Deliver the Biggest Impact
Though not yet at scale, we see real-world application potential across multiple high-growth sectors, like:- Edge AI: Neuromorphic chips are ideal for smart sensors, drones, autonomous vehicles, robotics – any system that needs to make decisions locally, with minimal power draw. For instance, they can enable drones to recognize obstacles and adjust flight paths in real time without draining battery life. In autonomous vehicles, these systems can process inputs from cameras, radar, and lidar to make split-second decisions while conserving energy.
- Healthcare: These chips could be used in portable diagnostic devices that monitor patient vitals and detect anomalies instantly, such as wearable ECG monitors that flag irregular heart rhythms. They could also power adaptive prosthetics that respond to neural signals from the user’s body, creating more intuitive movement. Researchers are also exploring neuromorphic processors as the backbone of brain-computer interfaces to achieve more seamless two-way communication between humans and machines.
- Cybersecurity: Since neuromorphic systems excel at detecting subtle patterns and anomalies, they are well-suited for identifying unusual behavior in data traffic that may signal a cyberattack.
- Finance: In the financial sector, neuromorphic processors could be used to analyze high-frequency trading data or detect fraud in complex, noisy data streams – i.e. identifying unusual patterns in credit card transactions or spotting early signs of market manipulation.
- Energy efficiency: As AI workloads grow exponentially – particularly in data centers – power consumption has become a major concern. Neuromorphic chips, modeled after the brain’s energy-efficient architecture, can dramatically reduce the power needed for tasks like image recognition or language processing.
Who’s Building Neuromorphic Chips – And Who Stands to Profit
A small but growing group of companies is building the neuromorphic future. Some are public. Most are still private. But the investment landscape is already starting to take shape.There is BrainChip Holdings (BRCHF): the purest publicly traded neuromorphic play – albeit a very risky one. The company makes the Akida chip, a neuromorphic processor designed for ultra-low-power edge AI. It’s already being used in smart sensors and defense applications.
BrainChip also holds IP licensing and development agreements with major entities (including Renesas, MegaChips, Mercedes, NASA, and Raytheon, as well as a cybersecurity project with Quantum Ventura tied to the U.S. Department of Energy).
Revenue is still modest, and the company is largely unproven. But if neuromorphic computing hits an inflection point, the potential upside could be massive.
On the more stable side, we have Intel. The blue-chip tech giant is dabbling in neuromorphic computing.
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In a similar vein, there’s also IBM (IBM). Its TrueNorth chip helped pioneer the neuromorphic field. Today, IBM remains a powerhouse in brain-inspired computing, neurosynaptic research, and AI infrastructure.
It’s a slower-moving giant, but it’s quietly investing in the foundational tech of the future.
Potential Key Players Across the Neuromorphic Supply Chain
Further down the supply chain are Analog Devices (ADI) and Lattice Semiconductor (LSCC) – two potential supplier plays on neuromorphic computing.Since these systems rely heavily on analog signal processing and mixed-signal semiconductors, ADI could benefit greatly.
Meanwhile, Lattice is focused on low-power field-programmable gate arrays (FPGAs) for edge applications – essentially, customizable mini-computer chips that can be programmed to do specific tasks.
While not explicitly neuromorphic, Lattice is well-positioned to benefit from increased demand for adaptable, low-latency AI inference platforms at the edge.
There’s also Cadence (CDNS) and Synopsys (SNPS) to consider. After all, designing neuromorphic chips isn’t easy. It requires new tools, simulation software, and mixed-signal modeling. These electronic design automation (EDA) companies are the picks-and-shovels plays on the whole space.
Other picks-and-shovels plays?
- Specialty memory makers (Micron (MU), for resistive RAM and phase-change memory)
- Foundry toolmakers (Applied Materials (AMAT), Lam Research (LRCX))
- Sensor and signal companies (Ambarella (AMBA), Cognex (CGNX))
- AI edge infrastructure suppliers (Qualcomm (QCOM), Nvidia (NVDA))
Final Word: Brain-Inspired AI Is Coming Faster Than You Think
Neuromorphic computing isn’t just the next chip upgrade; it’s a radical leap forward. These brain-inspired systems promise to make machines smarter, faster, and far more energy-efficient.If they deliver, they won’t just improve AI… they’ll redefine it.
And like every breakthrough before it, the biggest gains go to those who get in before the crowd catches on.
This is the kind of opportunity that could turn small-cap pioneers into market leaders – and supercharge the incumbents building tomorrow’s AI infrastructure.
It may be early days for neuromorphic computing, but it’s no longer theoretical.
The seeds are planted. The architecture is real. And the use cases are arriving fast.
In fact, there’s one we’re particularly bullish on…
Humanoid robotics.
These machines demand the kind of real-time, low-power intelligence that neuromorphic chips are built to deliver.
As production scales and adoption accelerates, the companies developing this tech could be at the heart of a trillion-dollar disruption.
Right now, one company seems poised to win the robotics race. And we’re got our sights set on one little-known firm in its supply chain that could soar as a result.
Brain-Inspired AI Is Coming Faster Than You Think
Neuromorphic chips mimic the brain to deliver faster, lower-power AI. Explore where this next-gen tech could make the biggest impact.
investorplace.com
ooops Mercedes link mentioned above where they discuss Neuromorphic AI.
Neuromorphic computing: More energy efficiency in autonomous driving of the future | Mercedes-Benz Group > Innovations > Product innovation > Autonomous driving
Neuromorphic computing: More energy efficiency in autonomous driving of the future | Mercedes-Benz Group > Innovations > Product innovation > Autonomous driving
sure they said that, but in my opinion nothing has changed in their engagement with shareholders since the AGM, and we are left to assume that there has been progress and search LinkedIn for information every day.
I personally was hoping for better.
I have also emailed the company has received no replies, and the replies I have received from the new IR company, were not even worth the paper they were written on. Very disappointing all around!
I don't know why BRN would spend money engaging a new IR firm, when they just give stock standard replies, and in many cases (according to other shareholders), no replies at all!
Feels like groundhog day (in terms of IR).
Kingkong2015
Regular
in agm that old lawyer FF suggested them to hire a IR management company.
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