BRN Discussion Ongoing

[Fact Finder]

FROM A MAINLAND CHINA Automotive Lovers Magazine:

Comparison of Love Cars

Focussing on self-driving BrainChip works with NVISO

Clz1232022-05-21 [Comparison of favourite cars] 15 people have gathered around

[Information] According to foreign media reports, BrainChip, a commercial manufacturer of neural AI IP and chips, announced that it has reached a cooperation with nViso SA (NVISO), an AI company for human behaviour analysis, to focus on battery power applications in the field of robotics and mobile travel/automatic driving. To meet the needs of high-level artificial intelligence performance using ultra-low power consumption technology. In the initial stage of cooperation, the two sides will apply NVISO's AI solution to BrainChip's Akida processor for social robots and in-vehicle monitoring systems.

Developers of automotive and consumer technologies are working hard to develop devices that can better respond to human behaviour, so tools and applications are needed to explain human behaviour captured from cameras and sensors on devices. However, these environments may be limited by limited computing performance, power consumption and cloud connection failures. With high performance and ultra-low power consumption (micro to milliwatts), as well as AI/ML processing of visual/image, motion and sound data directly on the device rather than in the remote cloud, Akida can deal with the above problems. Because information is not sent outside the device, the privacy and security of users are also protected.

NVISO technology can analyse the signals of human behaviour, such as facial expressions, emotions, identity, head posture, gaze, gestures, activities and objects that interact with users. In robotics and on-board applications, human behaviour analysis can detect the emotional state of users to provide personalised, adaptive, interactive and safe devices and systems. The results of the cooperation between NVISO and BrainChip are expected to achieve more advanced, powerful and accurate artificial intelligence in consumer products.

Tim Llewellynn, CEO of NVISO, said: "This cooperation will meet the demanding power/cost/performance needs of AI by OEMs. Even in the case of mass production and scale, OEMs can benefit from faster and more efficient development cycles. Edge-based ultra-low-power consumer processing is expected to provide a smarter and more personalised user experience, and we believe that AI solutions running our social robots and in-vehicle monitoring systems on Akida will provide a competitive advantage for common customers to meet their requirements such as low-power budgets and continuous functions. ."

Sean Hehir, CEO of BrainChip, said: "NVISO's human behaviour analysis AI system can provide more possibilities for homes, cars, buildings, hospitals, etc. We are keen to realise the above functions through BrainChip's processing performance and energy efficiency. This cooperation will promote the development of artificial intelligence through the edge AI device platform, so as to explain human behaviour and improve product performance and user experience. ( Compilation/Zhou Yi)

 

[Fact Finder]

Disrupting industries that do not yet exist:

Neuromarketing Technology Market to See Booming Growth : Neurospire, Nviso, Sr Labs​

By
ReleaseWire
Published
May 19, 2022



This press release was orginally distributed by SBWire
New Jersey, USA — (SBWIRE) — 05/19/2022 — The latest study released on the Global Neuromarketing Technology Market by AMA Research evaluates market size, trend, and forecast to 2027. The Neuromarketing Technology market study covers significant research data and proofs to be a handy resource document for managers, analysts, industry experts and other key people to have ready-to-access and self-analyzed study to help understand market trends, growth drivers, opportunities and upcoming challenges and about the competitors.
Key Players in This Report Include:
CSS/Data intelligence (United States), Merchant Mechanics (United States), Neurospire Inc. (United States), The Neilsen Company LLC, (United States), Nviso (Switzerland), Olson Zaltman Associates (United States), Behavior and Brain Lab (Italy), Sensomotoric Instruments GMBH (Germany), Sr Labs (Italy), Cadwell Industries Inc. (United States)
Download Sample Report PDF (Including Full TOC, Table & Figures) @ https://www.advancemarketanalytics.com/sample-report/71423-global-neuromarketing-technology-market-1
Definition:
Neuromarketing is the new discipline of neuroscience to marketing. It makes use of scientific laboratories and techniques that include direct use of brain imaging, scanning, or other brain activity measurement technology to measure a subject's response to specific products, packaging, advertising, or other marketing elements. The advancements in neural recording techniques and interpreting algorithms made it an effective tool for recognizing the unspoken response of consumers to the marketing stimuli.
Market Trends:
The use of electroencephalogram (EEG) over functional magnetic resonance imaging (fMRI) in video advertisement-based Neuromarketing experiments, due to its low cost and high time resolution advantages.
Market Drivers:
Rising Focus on to Quantify Emotional, Behavioral, and Cognitive Experience of Consumers such as Attention and Attitude Shift
Growing Adoption of Innovative Marketing Activities and Increasing Investment in Neuromarketing to Maximize Profitability.
Market Opportunities:
Growth in Future Applications such as Hormone Manipulation, Temporary Neural Inhibition, and Sleep Nudging
Advancements in Neural Recording Techniques and Interpreting Algorithms
The Global Neuromarketing Technology Market segments and Market Data Break Down are illuminated below:
by Type (Hardware, Software, Services), Application (Branding, Advertising, Product Testing, Others (Packaging, Point of Sale)), Technology (Functional Magnetic Resonance Imaging (fMRI), Electroencephalography (EEG), Magnetoencephalography (MEG), Eye Tracking, Facial Coding, Others (GSR, fERS)), Industry Vertical (Retail, Food & Beverages, Consumer Electronics, Education & Research, Others), End-User (Large Enterprises, Research & Consulting Firms, Others)
Global Neuromarketing Technology market report highlights information regarding the current and future industry trends, growth patterns, as well as it offers business strategies to helps the stakeholders in making sound decisions that may help to ensure the profit trajectory over the forecast years.


Read more: https://www.digitaljournal.com/pr/n...growth-neurospire-nviso-sr-labs#ixzz7TxvLXuZm

 

[Fact Finder]

Nviso and AKIDA are ready to allow automobile manufacturers to be EU complaint for Driver Monitoring:

HUMAN BEHAVIOUR
AI SDK​

NVISO empowers system integrators to build innovative solutions to transform our lives. Understand people and their behavior to make autonomous devices safe, secure, and personalized for humans.
REQUEST SDK

UNDERSTAND HUMANS
ONE POWERFUL API​

NVISO's Human Behaviour AI SDK key benefits include a single robust real-time human behavior API, flexible sensor integration and placement, integrated software/hardware with heterogenous computing optimization, and faster development cycles and time-to-value.
It provides robust embedded software solutions that can sense, comprehend, and act upon human behavior in real-world environments deployed at the extreme edge. It achieves this through real-time perception and observation of people and objects in contextual situations combined with the reasoning and semantics of human behavior based on trusted scientific research.
The SDK enables developers to build ready-to-integrate AI Solutions to efficiently provide industry specific reasoning and semantic layers addressing the needs of specific markets across multiple hardware platforms without vendor lock-in. The SDK is supported through a long term maintenance agreement for multi-party implementation of tools for AI systems development.


[See Larger Image] [Bonseyes] [Akida]

ULTRA LOW-LATENCY​

NVISO's technology is purpose built for a new class of ultra-efficient machine learning processors at the extreme edge (low power, on-device, without requiring an internet connection), while being compatible with Android and iOS mobile devices. Supporting a wide range of heterogenous computing platforms ranging from CPU, GPU, NPU, and Neuromorphic computing, NVISO is future proof and works best at the extreme edge.

PRIVACY PRESERVING​

Protects user privacy by design with advanced security and creates better user experiences due to lower latency of processing. Propelled by the deployment of 5G and Internet of Things devices (internet-connected devices) where ultra-low power machine learning processors allow analytics to be located close to where the data is created. Privacy can be further enhanced with on-device learning and federated learning.

NO CLOUD BY DESIGN​

Flexible sensor driven AI system architecture, where no internet connectivity is required and no cloud is needed for the product or service to operate unleashes the ultimate power of artificial intelligence. A configurable AI App catalogue for vision that applies computer vision and machine learning algorithms to perform a variety of perception and observation tasks available for Android and iOS running without an internet connection.

CREATE NEW USER EXPERIENCES
ROBUST AND SECURE​

SMART MOBILITY​

Next generation mobility requires AI, from self-driving cars to new ways to engage customers. Build and deploy robust AI-powered interior monitoring systems. The NVISO Human Behaviour SDK includes building blocks and tools that accelerate in-cabin monitoring developments that require the increased perception and interaction features enabled by AI including gaze and eye state tracking, body tracking, and activity and gesture recognition.

DRIVER MONITORING SYSTEM (DMS)​

A key feature expected to become a standard feature in new cars as a result of regulatory and rating agency requirements Euro NCAP 2025 Roadmap. DMS can detect distracted and drowsy drivers by accurately measuring eye and head position, attention, and fatigue. The DMS alerts the driver and integrated safety systems upon detection of a risk such as drowsiness or distraction before safety is compromised.

INTERIOR MONITORING SYSTEM(IMS)​

It is not only the driver who is the focus of attention. The camera can be positioned in such a way that all seats are in its field of vision. The system can detect the presence of any other occupant, and can thus deactivate the airbag if, for instance, a child safety seat is present. IMS enables in-vehicle systems to sense their occupants’ emotional states and gestures to provide personalized experiences in the transition to automated driving.

DESIGNED FOR THE REAL-WORLD
INTEGRATION READY​

EMBEDDING TOOLS​

Supporting prototype platforms (Intel) to production platforms from centralized computing (NVIDIA), multimedia computing (Qualcomm), to close-to-sensor computing (Arm A5x, A7x + NPU and Neuromorphic Accelerators).

SIMULATION TOOLS​

Camera sensor type and location play a critical role in system performance. 3D simulation tools provide a fast and effective design and verification platform.

MACHINE LEARNING TOOLS​

Data driven software development require automated data tools to enable full cycle development of AI systems cost effectively.

PERFORMANCE THAT SCALES
ANY SENSOR, ANY PLACEMENT​

The interior of a vehicle is an unpredictable environment. Typical constraints range from driving environmental unpredictability to drastic changes in ambient temperature. These factors drive the need for systems to include sufficient algorithms capable of handling tough environmental conditions and choice of camera placement is critical to enable the robust operation of AI systems. Another factor that adds to the system complexity is accommodating the cosmetic design of the vehicle.
Automotive designers constantly try to introduce new design concepts while also maximizing driver comfort features. These constraints require the position and location of the camera to often change. NVISO addresses these challenges through supporting flexible camera positioning anywhere between the A-pillar and the center stack which is critical to large scale adoption.

UNMATCHED EMBEDDING PERFORMANCE
LOW-POWER ARM CORTEX CPUS​

CASE STUDY
BONSEYES AI MARKETPLACE​

NVISO's is a founding member of the Bonseyes Community Associationwhich is a non-profit AI-focused association based in Switzerland. BCA was created and inspired by the H2020 Bonseyes AI Marketplace project to ensure that artificial intelligence benefits all of society through open, distributed, and decentralized platforms and technology. BCA’s mission is to ensure that artificial intelligence (in all forms from narrow to general) which will ultimately create highly autonomous systems benefits all of society – not just a select few.
It aims to directly build open technology platforms supporting distributed artificial intelligence marketplaces empowering innovators, data scientists, and developers to build and trade value creating, safe, and beneficial AI aligned with societal goals. Currently it is focused on supporting Extreme Edge AI technologies supporting ground-breaking technologies such as ultra-low-power machine learning processors and brain-inspired neuromorphic chips. For more information see the Bonseyes AI Marketplace.
Within the scope of the Bonseyes project, NVISO showcased how future in-car experiences would be centered around the driver-vehicle relationship, where AI would enable the car to have continuous learning, with the end goal to develop an understanding with the occupants that is both meaningful and human in nature.

REQUEST A DEMO​

 

[Fact Finder]

My brain ain’t working but I came across this article that uses Akida hardware I think.

https://mdpi-res.com/d_attachment/electronics/electronics-10-01912/article_deploy/electronics-10-01912-v2.pdf?version=1628581937

View attachment 7317

When you wake up this is a paper comparing (not very well) the AiML systems available in the market. Academics do these papers when they cannot think of an original research idea to keep their CV publication numbers up.

The great thing about this paper unlike many such papers is they refer to Brainchip.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Fact Finder]

Nviso and AKIDA are ready to allow automobile manufacturers to be EU complaint for Driver Monitoring:

HUMAN BEHAVIOUR​

AI SDK​

NVISO empowers system integrators to build innovative solutions to transform our lives. Understand people and their behavior to make autonomous devices safe, secure, and personalized for humans.
REQUEST SDK

UNDERSTAND HUMANS​

ONE POWERFUL API​

NVISO's Human Behaviour AI SDK key benefits include a single robust real-time human behavior API, flexible sensor integration and placement, integrated software/hardware with heterogenous computing optimization, and faster development cycles and time-to-value.
It provides robust embedded software solutions that can sense, comprehend, and act upon human behavior in real-world environments deployed at the extreme edge. It achieves this through real-time perception and observation of people and objects in contextual situations combined with the reasoning and semantics of human behavior based on trusted scientific research.
The SDK enables developers to build ready-to-integrate AI Solutions to efficiently provide industry specific reasoning and semantic layers addressing the needs of specific markets across multiple hardware platforms without vendor lock-in. The SDK is supported through a long term maintenance agreement for multi-party implementation of tools for AI systems development.


[See Larger Image] [Bonseyes] [Akida]

ULTRA LOW-LATENCY​

NVISO's technology is purpose built for a new class of ultra-efficient machine learning processors at the extreme edge (low power, on-device, without requiring an internet connection), while being compatible with Android and iOS mobile devices. Supporting a wide range of heterogenous computing platforms ranging from CPU, GPU, NPU, and Neuromorphic computing, NVISO is future proof and works best at the extreme edge.

PRIVACY PRESERVING​

Protects user privacy by design with advanced security and creates better user experiences due to lower latency of processing. Propelled by the deployment of 5G and Internet of Things devices (internet-connected devices) where ultra-low power machine learning processors allow analytics to be located close to where the data is created. Privacy can be further enhanced with on-device learning and federated learning.

NO CLOUD BY DESIGN​

Flexible sensor driven AI system architecture, where no internet connectivity is required and no cloud is needed for the product or service to operate unleashes the ultimate power of artificial intelligence. A configurable AI App catalogue for vision that applies computer vision and machine learning algorithms to perform a variety of perception and observation tasks available for Android and iOS running without an internet connection.

CREATE NEW USER EXPERIENCES​

ROBUST AND SECURE​

SMART MOBILITY​

Next generation mobility requires AI, from self-driving cars to new ways to engage customers. Build and deploy robust AI-powered interior monitoring systems. The NVISO Human Behaviour SDK includes building blocks and tools that accelerate in-cabin monitoring developments that require the increased perception and interaction features enabled by AI including gaze and eye state tracking, body tracking, and activity and gesture recognition.

DRIVER MONITORING SYSTEM (DMS)​

A key feature expected to become a standard feature in new cars as a result of regulatory and rating agency requirements Euro NCAP 2025 Roadmap. DMS can detect distracted and drowsy drivers by accurately measuring eye and head position, attention, and fatigue. The DMS alerts the driver and integrated safety systems upon detection of a risk such as drowsiness or distraction before safety is compromised.

INTERIOR MONITORING SYSTEM(IMS)​

It is not only the driver who is the focus of attention. The camera can be positioned in such a way that all seats are in its field of vision. The system can detect the presence of any other occupant, and can thus deactivate the airbag if, for instance, a child safety seat is present. IMS enables in-vehicle systems to sense their occupants’ emotional states and gestures to provide personalized experiences in the transition to automated driving.

DESIGNED FOR THE REAL-WORLD​

INTEGRATION READY​

EMBEDDING TOOLS​

Supporting prototype platforms (Intel) to production platforms from centralized computing (NVIDIA), multimedia computing (Qualcomm), to close-to-sensor computing (Arm A5x, A7x + NPU and Neuromorphic Accelerators).

SIMULATION TOOLS​

Camera sensor type and location play a critical role in system performance. 3D simulation tools provide a fast and effective design and verification platform.

MACHINE LEARNING TOOLS​

Data driven software development require automated data tools to enable full cycle development of AI systems cost effectively.

​

PERFORMANCE THAT SCALES​

ANY SENSOR, ANY PLACEMENT​

The interior of a vehicle is an unpredictable environment. Typical constraints range from driving environmental unpredictability to drastic changes in ambient temperature. These factors drive the need for systems to include sufficient algorithms capable of handling tough environmental conditions and choice of camera placement is critical to enable the robust operation of AI systems. Another factor that adds to the system complexity is accommodating the cosmetic design of the vehicle.
Automotive designers constantly try to introduce new design concepts while also maximizing driver comfort features. These constraints require the position and location of the camera to often change. NVISO addresses these challenges through supporting flexible camera positioning anywhere between the A-pillar and the center stack which is critical to large scale adoption.

​

UNMATCHED EMBEDDING PERFORMANCE​

LOW-POWER ARM CORTEX CPUS​

​

CASE STUDY​

BONSEYES AI MARKETPLACE​

NVISO's is a founding member of the Bonseyes Community Associationwhich is a non-profit AI-focused association based in Switzerland. BCA was created and inspired by the H2020 Bonseyes AI Marketplace project to ensure that artificial intelligence benefits all of society through open, distributed, and decentralized platforms and technology. BCA’s mission is to ensure that artificial intelligence (in all forms from narrow to general) which will ultimately create highly autonomous systems benefits all of society – not just a select few.
It aims to directly build open technology platforms supporting distributed artificial intelligence marketplaces empowering innovators, data scientists, and developers to build and trade value creating, safe, and beneficial AI aligned with societal goals. Currently it is focused on supporting Extreme Edge AI technologies supporting ground-breaking technologies such as ultra-low-power machine learning processors and brain-inspired neuromorphic chips. For more information see the Bonseyes AI Marketplace.
Within the scope of the Bonseyes project, NVISO showcased how future in-car experiences would be centered around the driver-vehicle relationship, where AI would enable the car to have continuous learning, with the end goal to develop an understanding with the occupants that is both meaningful and human in nature.

REQUEST A DEMO​

It is like an @MC🐠 they are all working with Brainchip DREAM dinner party Intel, Nvidia, Qualcom, ARM:


“Supporting prototype platforms (Intel) to production platforms from centralized computing (NVIDIA), multimedia computing (Qualcomm), to close-to-sensor computing (Arm A5x, A7x + NPU and Neuromorphic Accelerators)”

My opinion only DYOR
FF


AKIDA BALLISTA

 

[Fact Finder]

It is like an @MC🐠 they are all working with Brainchip DREAM dinner party Intel, Nvidia, Qualcom, ARM:


“Supporting prototype platforms (Intel) to production platforms from centralized computing (NVIDIA), multimedia computing (Qualcomm), to close-to-sensor computing (Arm A5x, A7x + NPU and Neuromorphic Accelerators)”

My opinion only DYOR
FF


AKIDA BALLISTA

And through out the entire meal on loop the following will be playing:



My opinion only DYOR
FF

AKIDA BALLISTA

 

[Fact Finder]

We knew this already but it is great to see academics catching on to what Peter van der Made proposed over 20 years ago:

“To conclude, the presented results contribute to a growing body of research addressing the open question of how infor- mation can be encoded in the temporal domain of spikes. In contrast to rate-based algorithms, purely spike time-dependent methods have the potential of enabling highly energy effi- cient realizations of artificial intelligence algorithms for edge applications, such as autonomous decision making and data processing in uncrewed spacecraft [41]. Thus, by making novel data structures, methods and applications accessible to SNNs, the presented results are especially interesting for upcoming neuromorphic technologies [40], [42]–[48], unlocking the po- tential of joining event-based computing and relational data to build powerful and energy efficient artificial intelligence applications and neuro-symbolic reasoning systems.
ACKNOWLEDGMENT
The author thanks Alexander Hadjiivanov and Gabriele Meoni for useful discussions and feedback on the paper. He further thanks his colleagues at ESA’s Advanced Concepts Team for their ongoing support. This research made use of the open source libraries PyKEEN [49], libKGE [18], PyTorch [50], Matplotlib [51], NumPy [52] and SciPy [53].”

https://arxiv.org/pdf/2205.09140

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Fact Finder]

This would be interesting to know but I suspect it will be impossible to know the exact % of extension to battery life Akida would provide. Only Mercedes would know this and I doubt that they would make such details public knowledge.
Perhaps some of the more technically minded contributors would like to comment.

The last Brainchip perspectives paper by Rob Telson provides part of the answer to improved battery performance/life due to AKIDA.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Fact Finder]

Further confirmation that Brainchip, AKIDA, Peter van der Made and Anil Mankar are leading the field by at least their 3 years:

https://inf.news/en/science/1f092cda1c9f1c740037d2ca2dea2c9f.html

Energy saving 1000 times!The artificial brain nerve chip runs ...

3 days ago — The researchers say their neural network achieves the same accuracy on speech and vision tasks as top spiking

“The team's ultimate goal is to make spiking neural networks train and run on a neuromorphic chip from start to finish, without the need for a traditional computer.

However, designing and producing the required next-generation chips could take years”

The headline to mislead and get you to read then in the final two paragraphs the sad truth.

To anyone who might doubt the incredible work shared by @Diogenese regarding analogue this article does explain very well all the issues that need to be overcome before analogue can become a competitive threat to the AKIDA Technology Revolution.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Fact Finder]

The CEO Sean Hehir referred to Jerome Nadel having something big planned to announce Brainchip and AKIDA to Industry. The following is completely new and clearly part of what he was foreshadowing:

BrainChip

www.brainchipinc.com/ BrainChip is the worldwide leader in edge AI on-chip processing and learning. The company’s first-to-market, fully digital,

www.edge-ai-vision.com

I absolutely recommend opening the link to see how Jerome Nadel is positioning Brainchip.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Dozzaman1977]

hi Hopalong.

Tricky question with a real hard to define answer so I just estimate only.

$5 for me means we have a $9 Bil MC. The Management have said 2025 (?) before breakeven but I believe strongly this is very much overrated! Far to conservative. Try end 2023.

We are doing what about $15 Mil(?) aprox year cost (not looking it up ok) which includes R & D as well as usual running costs , wages etc.
Ok so even if we just get $550 Mil in Revenue by the time we are at $5 SP, then spend $50 Mil on Costs (IP is 98% Profit) leaving roughly $500 mil that still gives us $0.25c Dividend.
When we reach $1 Bil in Revenue that should be my target of $0.50c Div reached and I will be very happy.
Come up with a figure, as all would now be just guesses anyway.

The Projected numbers which Management must have would be constantly being updated and changing as everything is moving ahead much quicker than anticipated by all. The new EU Law is an example of how that helps push our product into service very quick.

All figures are extremely rubbery and just wild guessing at best, but one thing is for sure and that is IP Revenue is going to be enormous very quickly and much sooner than we thought it would be!

The company can only "spend" so much on running itself, and then a major portion of leftover profits will have to be distributed via a Dividend.
Some money will be kept in the "kitty" as a reserve, maybe towards future acquisitions?

And ALL Management now have large holdings of Shares, so they will want Dividends as much as we do!

Yak52

Hi Yak52
I'm pretty sure our CEO stated in a interview a while back he is expecting a breakeven point between revenue and expenses around the end of 2022.
The inspirational Fact Finder would be able to clarify if this was stated but I'm pretty confident this is correct.
Keep up the good analysis and discussion

 

[Dhm]

Following @Fact Finder ‘s advice I googled Brainchip perspective and a strange Brainchip website popped up. What do we make of this?
https://brainchip.com/about/

I google translated the foreign language and it apparently is Latin!

Sounds weird to me. Thoughts anyone?

 

[AJV]

Following @Fact Finder’s advice I googled Brainchip perspective and a strange Brainchip website popped up. What do we make of this?
https://brainchip.com/about/


View attachment 7322


I google translated the foreign language and it apparently is Latin!

View attachment 7323
Sounds weird to me. Thoughts anyone?

Is this just a stock template page and text from a website creator site? Common for these to have page templates with Latin text written on them.

 

[hotty4040]

Please ,No Politics in this thread.

Get off you're high horse sunny jim, " I said, get off your high horse sunny jim

What a fantastic result chippers, " I said, what a fantastic result chippers ( comrades )

Just like " BRAINCHIP " now for some innovation and honesty in government.

That's my last word on this subject matter, I'm as happy as Larry, I said, I'm as happy as larry


Akida Ballista >>>>>>> Hope the AGM goes well chippers, it will be a good one <<<<<<<

hotty...

 

[Dr E Brown]

Following @Fact Finder’s advice I googled Brainchip perspective and a strange Brainchip website popped up. What do we make of this?
https://brainchip.com/about/


View attachment 7322


I google translated the foreign language and it apparently is Latin!

View attachment 7323
Sounds weird to me. Thoughts anyone?

I

Following @Fact Finder’s advice I googled Brainchip perspective and a strange Brainchip website popped up. What do we make of this?
https://brainchip.com/about/


View attachment 7322


I google translated the foreign language and it apparently is Latin!

View attachment 7323
Sounds weird to me. Thoughts anyone?

its just an unfinished page.

 

[thelittleshort]

Here's one for all you aussies

 

[Violin1]

Following @Fact Finder’s advice I googled Brainchip perspective and a strange Brainchip website popped up. What do we make of this?
https://brainchip.com/about/


View attachment 7322


I google translated the foreign language and it apparently is Latin!

View attachment 7323
Sounds weird to me. Thoughts anyone?

Developers use Latin paragraphs while they are designing websites. So what you have found is a work in progress page. Clearly more is coming! Nice one.

 

[hotty4040]

The CEO Sean Hehir referred to Jerome Nadel having something big planned to announce Brainchip and AKIDA to Industry. The following is completely new and clearly part of what he was foreshadowing:

BrainChip

www.brainchipinc.com/ BrainChip is the worldwide leader in edge AI on-chip processing and learning. The company’s first-to-market, fully digital,

www.edge-ai-vision.com

I absolutely recommend opening the link to see how Jerome Nadel is positioning Brainchip.

My opinion only DYOR
FF

AKIDA BALLISTA

How sweet it is FF, onwards to new visions of spiking innovation.

Who was it that said, " It's great to be a shareholder " ? So far, it certainly is.

Thanks again FF for your " Oh so informative and inspiring " posts, they are truly magical.

Akida Ballista

hotty...

 

[Papacass]

The above extract is from today’s Sunday Telegraph (NSW). Not only does BrainChip have the world’s only COTS neuromorphic processor and a stated 3 year lead on the opposition it also has an iceberg load of commercial partnerships and connections. The above quote, although only one source, indicates we are in the right place at the right time. Fact Finders tipping point is no illusion. 1000 eyes rule. Cheers.

 

[Bravo]

Hmmmm...I know Intel are still working on Loihi 2, but this has got me thinking whether this is an admission that they need other AI solutions. Hello AKIDA!

AI Is Garnering a Bigger Role in Intel’s Future

Intel is moving the focus from its server CPUs to a growing roster of adjacent chips that are driving a fundamental shift in computing to AI in which

www.enterpriseai.news