White Horse
Regular
Hope this works. Up till recently you had to go to linkedIn to play. Note the voice he used.
https://kevindjohnson.org/videos/RAGTrustPipeline.mp4
https://kevindjohnson.org/videos/RAGTrustPipeline.mp4
BRN Discussion Ongoing
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Just for clarification it appears that an AKIDA/Quadric/Symphony combination would likely come together initially in the form of a type of Edge box for robotics and other mobile assets - if it ever does. Maybe later as chiplets?
Its an exciting concept.
This is just my personal opinion!
I’ve marked the next targets to break out of the triangle in red. All on the daily chart. The rising green trendline remains active as long as the price doesn’t sustainably fall below 0.125 after the mid-April high. The important 200-day moving average is also waiting at 0.18. So there’s still a lot to do here. I’m hoping for some volume to support this. At some point, I also expect a larger correction. But we’re still a long way from that. Any other thoughts on this? Bring them on!
I’ve marked the next targets to break out of the triangle in red. All on the daily chart. The rising green trendline remains active as long as the price doesn’t sustainably fall below 0.125 after the mid-April high. The important 200-day moving average is also waiting at 0.18. So there’s still a lot to do here. I’m hoping for some volume to support this. At some point, I also expect a larger correction. But we’re still a long way from that. Any other thoughts on this? Bring them on!
Attachments
We have covered this extensively via posing a month or more ago.
There is no dot joining - you just omitted the self research element before guessing/doubting and posting aggressively rather than just simply requesting a link. That is called a 'shooting yourself in the foot'.
The Nara Institute of science and technology and Megachips co wrote this Robotics paper 23rd August 2024.
See quote below from the paper. AKIDA is involved.
Basically the paper says Akida delivers ultra‑low‑power, event‑driven, on‑device intelligence with the ability to learn and adapt — making it ideal for IoT, robotics, metering, and edge autonomy.
It would be impossible for Megachips to evaluate the results carefully, reject AKIDA, source another chip (time consuming on its own), go through at least 18 months of testing, package it and fit it into a robot for Showroom demonstrations (which they did) from September 2025 all in 13 months.
"This section describes the construction of the proposed framework shown in Fig. 2. We utilized a desktop PC equipped with a GPU (Nvidia RTX3090) for updating the policies and an Akida Neural Processor SoC as a neurochip [9, 12]. The robot was controlled by the policies implemented in the neurochip. SNNs were implemented to the neurochip by a conversion executed by the MetaTF of Akida that converts the software [9, 12]. Samples were collected by the SNN policies in both the simulation tasks and the real-robot tasks since the target task is neurochip-driven robot control. For learning, the GPU updates the poli cies based on the collected samples in the real-robot environment. Concerning the SNN structure, the quantization of weights ws described in Eq. (16) and the calculation accuracy of the activation functions described in Eq. (17) are verified in a range from 2- to 8-bits; they are the implementation constraints of the neurochip [9]."
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Bravo
Meow Meow 🐾
View attachment 96751
Wilmington, DE, USA, 1st April 2026 - The global neuromorphic chip market is valued at USD 42.6 million in 2025 and is projected to reach approximately USD 8,136.3 million by 2035, expanding at a remarkable CAGR of 69.1% during the forecast period (2025-2035). The market is being shaped by the rising demand for energy-efficient artificial intelligence (AI) hardware, increasing adoption of edge computing, and the need for real-time data processing across connected devices. Neuromorphic chips, designed to mimic human brain functions, are gaining traction due to their ability to deliver low-latency, event-driven computing with minimal power consumption.
The evolution of AI-driven ecosystems is further accelerating demand for neuromorphic chips, particularly in consumer electronics, healthcare, robotics, and autonomous systems. As industries shift toward decentralized computing, these chips are becoming essential for enabling on-device intelligence, reduced cloud dependency, and enhanced privacy. Advancements such as Intel's Loihi 2, IBM's NorthPole chip, and BrainChip's Akida processor are redefining performance benchmarks, making neuromorphic computing a transformative force in next-generation AI infrastructure.
Get Sample copy of the Report: https://marketgenics.co/download-report-sample/neuromorphic-chip-market-62622
Key Findings of the Neuromorphic Chip Market Report:
• Incremental opportunity of approximately USD 8,093.7 million by 2035
• Consumer electronics segment accounts for approximately 42% of the global market share
• North America accounts for over 63.5% of the global market share in 2025
• Top five players account for over 55% of total market share
Analyst Viewpoint:
The neuromorphic chip market is transitioning from an experimental computing paradigm to a core enabler of next-generation artificial intelligence systems. As demand for real-time, low-power AI processing increases, neuromorphic architectures offer a scalable alternative to traditional GPUs and CPUs. The convergence of edge AI, autonomous systems, and intelligent sensors is significantly expanding the market's addressable scope. Companies that successfully integrate hardware innovation with developer ecosystems and software platforms will be best positioned to lead in this rapidly evolving landscape.
Segmental Insights & Growth Anchors:
Consumer Electronics (~42% Market Share) Driving Demand
The consumer electronics segment dominates the global neuromorphic chip market, accounting for approximately 42% of the market share in 2025. This dominance is driven by increasing demand for real-time, energy-efficient processing in compact devices such as smartphones, wearables, and smart home systems. Neuromorphic chips enable faster decision-making, reduced latency, and improved battery efficiency, making them ideal for always-on AI applications. Their integration into edge devices is transforming consumer electronics into intelligent, responsive systems capable of advanced functionalities.
North America (63.5% Market Share) Leading Global Expansion
North America leads the global neuromorphic chip market, accounting for approximately 63.5% of the total market share in 2025, with a market value of USD 27.1 million. The region's dominance is driven by strong investments in AI research, strategic collaborations, and government-backed innovation initiatives. Developments such as BrainChip's collaboration with the U.S. Air Force Research Laboratory and deployment of advanced neuromorphic systems like SpiNNaker2 highlight the region's leadership in scaling brain-inspired computing technologies.
Competitive Landscape & Key Players
Top Companies in the Neuromorphic Chip Market (2025)
• BrainChip Holdings Ltd.
• Intel Corporation
• IBM Corporation
• NVIDIA Corporation
• Qualcomm Technologies
The global neuromorphic chip market is moderately consolidated, with the top five players accounting for over 55% of the market share. Companies are focusing on ultra-low power AI chips, edge computing solutions, and integrated software ecosystems to strengthen their competitive positioning.
Recent Developments and Strategic Direction:
• In September 2025, BrainChip Holdings Ltd. launched the Akida Cloud platform, enabling developers to accelerate neuromorphic model development through cloud-based access
️
• In May 2024, Honda Motor Company partnered with IBM Corporation to advance neuromorphic and chiplet technologies for software-defined vehicles (SDVs)
Neuromorphic Chip Market Opportunity:
Expansion in Edge AI and Autonomous Systems
The global neuromorphic chip market is expected to create a total forecasting opportunity of approximately USD 8,093.7 million by 2035, driven by increasing deployment in edge AI devices, autonomous robotics, and smart sensors. Neuromorphic chips enable real-time processing, energy efficiency, and adaptive learning, making them ideal for applications requiring continuous operation and minimal power consumption.
Neuromorphic Chip Market Trends & Innovations:
Brain-Inspired Computing Architectures
The market is witnessing a shift toward spiking neural networks and brain-inspired architectures, enabling adaptive learning and real-time decision-making in AI systems.
Ultra-Low Power Edge AI Processing
Neuromorphic chips are increasingly designed for low-power, on-device computation, reducing reliance on cloud infrastructure and improving efficiency.
Nvidia had $215B revenue in 2025.
Even if we accept the starting point of $42M sales for neuromorphic in 2025, I think that their estimate of $8B in 10 years is way too low. That said, I don't know how they've calculated their forecast, and I have no expertise in forecasting, but a simple comparison with Nvidia, along with our knowledge of the technical advantages of Akida leads me to guess that the market will be more than 10 times their estimate in 10 years, and that's a conservative guess.
We know that Akida performs better than Jetson and the power squeeze alone will mandate neuromorphic not only for the edge, but all the way up the rainbow to the cloud. Of course there will be competition. Loihi 2 has a lot of weight behind it, but can a dinosaur like Intel really change its spots or will neuromorphic be their Cretaceous asteroid?
Kevin has also opened up new vistas for Akida to conquer, potentially dragging the IBM mammoth out of the tar pit.
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Neuromorphia
fact collector
thankyou @zeebot for your hard work keeping this website going
Still… Horoskope style talk here…. “Expect very good news today… maybe a call for a new job or a big win… but take care when receiving the call, not everyone want to help you”
Kevin
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Bravo
Meow Meow 🐾
View attachment 96751
Wilmington, DE, USA, 1st April 2026 - The global neuromorphic chip market is valued at USD 42.6 million in 2025 and is projected to reach approximately USD 8,136.3 million by 2035, expanding at a remarkable CAGR of 69.1% during the forecast period (2025-2035). The market is being shaped by the rising demand for energy-efficient artificial intelligence (AI) hardware, increasing adoption of edge computing, and the need for real-time data processing across connected devices. Neuromorphic chips, designed to mimic human brain functions, are gaining traction due to their ability to deliver low-latency, event-driven computing with minimal power consumption.
The evolution of AI-driven ecosystems is further accelerating demand for neuromorphic chips, particularly in consumer electronics, healthcare, robotics, and autonomous systems. As industries shift toward decentralized computing, these chips are becoming essential for enabling on-device intelligence, reduced cloud dependency, and enhanced privacy. Advancements such as Intel's Loihi 2, IBM's NorthPole chip, and BrainChip's Akida processor are redefining performance benchmarks, making neuromorphic computing a transformative force in next-generation AI infrastructure.
Get Sample copy of the Report: https://marketgenics.co/download-report-sample/neuromorphic-chip-market-62622
Key Findings of the Neuromorphic Chip Market Report:
• Incremental opportunity of approximately USD 8,093.7 million by 2035
• Consumer electronics segment accounts for approximately 42% of the global market share
• North America accounts for over 63.5% of the global market share in 2025
• Top five players account for over 55% of total market share
Analyst Viewpoint:
The neuromorphic chip market is transitioning from an experimental computing paradigm to a core enabler of next-generation artificial intelligence systems. As demand for real-time, low-power AI processing increases, neuromorphic architectures offer a scalable alternative to traditional GPUs and CPUs. The convergence of edge AI, autonomous systems, and intelligent sensors is significantly expanding the market's addressable scope. Companies that successfully integrate hardware innovation with developer ecosystems and software platforms will be best positioned to lead in this rapidly evolving landscape.
Segmental Insights & Growth Anchors:
Consumer Electronics (~42% Market Share) Driving Demand
The consumer electronics segment dominates the global neuromorphic chip market, accounting for approximately 42% of the market share in 2025. This dominance is driven by increasing demand for real-time, energy-efficient processing in compact devices such as smartphones, wearables, and smart home systems. Neuromorphic chips enable faster decision-making, reduced latency, and improved battery efficiency, making them ideal for always-on AI applications. Their integration into edge devices is transforming consumer electronics into intelligent, responsive systems capable of advanced functionalities.
North America (63.5% Market Share) Leading Global Expansion
North America leads the global neuromorphic chip market, accounting for approximately 63.5% of the total market share in 2025, with a market value of USD 27.1 million. The region's dominance is driven by strong investments in AI research, strategic collaborations, and government-backed innovation initiatives. Developments such as BrainChip's collaboration with the U.S. Air Force Research Laboratory and deployment of advanced neuromorphic systems like SpiNNaker2 highlight the region's leadership in scaling brain-inspired computing technologies.
Competitive Landscape & Key Players
Top Companies in the Neuromorphic Chip Market (2025)
• BrainChip Holdings Ltd.
• Intel Corporation
• IBM Corporation
• NVIDIA Corporation
• Qualcomm Technologies
The global neuromorphic chip market is moderately consolidated, with the top five players accounting for over 55% of the market share. Companies are focusing on ultra-low power AI chips, edge computing solutions, and integrated software ecosystems to strengthen their competitive positioning.
Recent Developments and Strategic Direction:
• In September 2025, BrainChip Holdings Ltd. launched the Akida Cloud platform, enabling developers to accelerate neuromorphic model development through cloud-based access
• In May 2024, Honda Motor Company partnered with IBM Corporation to advance neuromorphic and chiplet technologies for software-defined vehicles (SDVs)
Neuromorphic Chip Market Opportunity:
Expansion in Edge AI and Autonomous Systems
The global neuromorphic chip market is expected to create a total forecasting opportunity of approximately USD 8,093.7 million by 2035, driven by increasing deployment in edge AI devices, autonomous robotics, and smart sensors. Neuromorphic chips enable real-time processing, energy efficiency, and adaptive learning, making them ideal for applications requiring continuous operation and minimal power consumption.
Neuromorphic Chip Market Trends & Innovations:
Brain-Inspired Computing Architectures
The market is witnessing a shift toward spiking neural networks and brain-inspired architectures, enabling adaptive learning and real-time decision-making in AI systems.
Ultra-Low Power Edge AI Processing
Neuromorphic chips are increasingly designed for low-power, on-device computation, reducing reliance on cloud infrastructure and improving efficiency.
I wonder if Kevin's work with Akida is part of this IBM / Honda MOU dated May 2024?
Honda taps IBM for neuromorphic AI silicon
Business news | May 16, 2024By Nick Flaherty
Automotive
Honda Motor has signed a deal with IBM for joint research and development of next-generation neuromorphic and chiplet technologies for software-defined vehicles (SDV).
The deal with IBM comes as Honda sees electric vehicles becoming mainstream by 2031, with a plan to cut battery production costs by at least 20% as part of a $64bn plan with digital twin technology. The company recently signed a strategi deal with Infineon Technologies for automotive silicon.The application of intelligence/AI technologies is expected to accelerate widely in 2030 and beyond, creating new opportunities for the development of SDVs.
Honda and IBM anticipate that SDVs will dramatically increase the design complexity, processing performance, and corresponding power consumption of semiconductors compared to conventional mobility products. IBM has a technology deal with Rapidus in Japan for 2nm process technology for high performance semiconductors.
In particular, the memorandum of understanding outlines areas of potential joint research of specialized semiconductor technologies such as neuromorphic computing and chiplet technologies, with the aim to dramatically improve processing performance while, simultaneously, decreasing power consumption.
Hardware and software co-optimization is important to ensure high performance and fast time to market. To achieve such benefits and manage design complexity for future SDVs, the two companies also plan to explore open and flexible software
Honda is developing its own operating system (OS) for AI-enable SoCs in is Series 0 flagship vehicles as part of a wider plan for EVs. These will use a centralized architecture to consolidate the multiple ECUs which are serving individual domains.
It is also setting up a vertically-integrated EV value chain with a central focus on batteries, as of 2030 to reduce battery costs by 20% and overall production cost by approximately 35%. Honda believes it has secured enough batteries for the planned production of approximately 2 million EVs per year.
The Honda 0 Series will be the flagship series of Honda EVs with a total of seven models to be launched globally by 2030.
Honda is planning to invest approximately 10 trillion yen ($64bn) over the 10-year period through FY2031, when the period of full-fledged popularization of EVs is expected to start. Honda will pursue both bold investments for future growth and shareholder returns.
“The environment surrounding automobile electrification is undergoing dramatic changes, and in some regions, the sense of a slowdown in EV market growth is gaining attention. Honda has not changed its belief that EVs are the most effective solution in the area of small mobility products such as motorcycles and automobiles. Looking at the trend from a longer-term perspective, Honda is confident that the EV shift will continue to proceed steadily,” said Toshihiro Mibe, global CEO of Honda.
“As of 2030, Honda plans to make EVs and FCEVs represent 40% of its global auto sales, and to produce more than 2 million units of EVs. Working toward this future, Honda will steadily pursue the establishment of a comprehensive EV value chain with a central focus on batteries and the advancement of EV production technologies and facilities.”
“The Honda 0 Series, which will play a key role in the Honda EV strategy, will be a completely new EV series. At CES, two concept models were unveiled, namely Saloon and Space-Hub. As for Saloon, which will become a flagship model of the series, Honda is planning for the market launch of a model very similar to this concept model, in 2026.”
A newly-developed compact e-Axle and an ultra-thin battery pack will reduce the thickness of the chassis to allow a lower height and more space in the vehicle.
“This includes optimization of the parts layout, reduction of the number of parts, as well as adoption of Honda’s original collision control technology, and the adoption of body frames that combine excellent design and performance,” he said.
“In addition to lighter body frames, the new EV series models will adopt an all-new power unit, which was made lighter and thinner by applying Honda’s original technologies amassed through the development of F1 machines and HEV models. This will enable Honda to reduce the overall vehicle weight by approximately 100kg compared to initial Honda EVs.”
Heavy components such as the battery and power unit will be placed low and in the centre of the vehicle body to realize a low centre of gravity, resulting in stable vehicle behaviour. The company is also using its robotics technology got a motion management system developed based on posture control technology.
Equipped with an original vehicle OS, Honda 0 Series models will offer a digital UX optimized for each individual customer, in conjunction with the advancement of connected technologies. Vehicle functions will be continuously updated with OTA (over-the-air) updates.
Honda will independently develop the underlying E&E architecture, the vehicle OS which is the upper layer of the overall architecture, as well as various applications that will be on the vehicle OS. Honda will customise the SoC with AI, which will be able to learn, says Mibe.
3 automated driving technology, and this will be used to make automated driving functions available in a broader speed range on expressways, as well as on regular roads as well as autonomous pickup arrangements and parking of the vehicle at places away from home.
A US joint venture EV battery plant with LG Energy Solution will begin production with a capacity of 40GWh of batteries per year in 2025 and Honda plans to expand into the battery life cycle business, which includes the areas of charging service, energy service and reuse/recycle.
In Canada, Honda will begin in-house production of the EV battery being co-developed with GS Yuasa. As for key battery materials, in Canada, Honda will proceed to internalize production by producing cathode materials with POSCO Future M, and separators with Asahi Kasei, at new joint venture plants to be constructed.
The battery pack assembly line will use Honda’s original Flex Cell Production System. This combines a modular configuration with a cell production system. A Digital Twin will reproduce real-life production line conditions in cyberspace in real time, the production efficiency in various aspects including the supply of parts to factories, production volume and speed will be optimized.
Honda taps IBM for neuromorphic AI silicon
Honda Motor has signed an R&D deal with IBM for neuromorphic and chiplet technologies for software-defined vehicles (SDV).
www.eenewseurope.com
Agree Dio, If Jetson, NVIDIA was up to it i am sure Kevin Johnson, CTO, IBM would be using it to WOW the world rather than AKIDA
smoothsailing18
Regular
This is exactly we're the chiplets will come into play imo. There is no reason why they won't,the timing is right with Brainchip latest designs.
All the ducks are linning up.
Dijon101
Regular
"BrainChip inks global Akida 2 IP license with EDGEAI, securing royalty-based revenue."
Just thinking out loud here, however has anyone explored or thought about the option that EdgeAI is a shell company made to protect NDA's, IP and to keep product development or competitive edge a secret.. it also protects BRN from share manipulation i.e. "pump and dump" which happened with the merc announcement??
Honest, open question. Shut it down if not plausible, but my brain has been ticking away in the background thinking this is a possibility (or just wistful thinking)
I asked the question in chat
"Yes, companies use shell companies (or similar "paper" entities) for several strategic and protective reasons, including the ones you mentioned. While often associated with illicit activity, they have established legitimate roles in corporate security and asset management.
Protecting IP and Confidentiality
Shell companies can act as a shield for a parent company's most sensitive assets:
IP Segregation: Businesses often place patents, trademarks, and copyrights into a separate legal entity to protect them from the operational risks or lawsuits of the main trading company.
Secrecy in Development: A shell company can be used to acquire assets or enter contracts for new projects without tipping off competitors to the parent company's future plans.
Safe-keeping Trade Secrets: They can be used to keep sensitive business dealings private, mitigating the public release of information that holds competitive value.
Protecting Against Market Manipulation
While shell companies themselves can sometimes be tools for manipulation (like "pump and dump" schemes), their legitimate use can also offer protection:
Isolating Volatility: By using a shell as a vehicle for specific high-risk ventures or transactions, a parent company can prevent potential failure or negative news from directly impacting its main share price."
Just thinking out loud here, however has anyone explored or thought about the option that EdgeAI is a shell company made to protect NDA's, IP and to keep product development or competitive edge a secret.. it also protects BRN from share manipulation i.e. "pump and dump" which happened with the merc announcement??
Honest, open question. Shut it down if not plausible, but my brain has been ticking away in the background thinking this is a possibility (or just wistful thinking)
I asked the question in chat
"Yes, companies use shell companies (or similar "paper" entities) for several strategic and protective reasons, including the ones you mentioned. While often associated with illicit activity, they have established legitimate roles in corporate security and asset management.
Protecting IP and Confidentiality
Shell companies can act as a shield for a parent company's most sensitive assets:
IP Segregation: Businesses often place patents, trademarks, and copyrights into a separate legal entity to protect them from the operational risks or lawsuits of the main trading company.
Secrecy in Development: A shell company can be used to acquire assets or enter contracts for new projects without tipping off competitors to the parent company's future plans.
Safe-keeping Trade Secrets: They can be used to keep sensitive business dealings private, mitigating the public release of information that holds competitive value.
Protecting Against Market Manipulation
While shell companies themselves can sometimes be tools for manipulation (like "pump and dump" schemes), their legitimate use can also offer protection:
Isolating Volatility: By using a shell as a vehicle for specific high-risk ventures or transactions, a parent company can prevent potential failure or negative news from directly impacting its main share price."
Maybe we will see someone searching for a new job soon?
And of course someone who will get rich soon
dollar to me… Kevin is working hard huh
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Mazewolf
Regular
Working hard, and I feel this work will reach new audiences, highly positive for Akida...Kevin is working hard huh
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View attachment 96760
Ahh, yes the university paper from last year which is encouraging but far from any proof that Megachips are using Akida since there has been radio silence from them regarding BRN/AKD since 2022.
But I do hope you are right, but I remain skeptical which is my opinion, shooting myself in the foot or not.
If there are no press release, it's dot joining in my view, nothing wrong with that off course but at this time I am getting feed up with dot joining and want some results.
Generative AI is rapidly evolving beyond prediction and prompts toward systems that can reason, act autonomously, and interact with the physical world. At the edge, this shift introduces new… | EDGE AI FOUNDATION
Generative AI is rapidly evolving beyond prediction and prompts toward systems that can reason, act autonomously, and interact with the physical world. At the edge, this shift introduces new constraints and new opportunities, including low latency, energy efficiency, hardware diversity, privacy...
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