BRN Discussion Ongoing

The first exascale supercomputer in Europe could fire us to a quintillion ops​

Will McCurdy - 13h ago

https://www.msn.com/en-au/news/tech...sedgntp&cvid=f7f92080b8a64aa8a0b9e9b7d5be2a88

A machine in the exascale class is a significant accomplishment even by supercomputer standards, representing computing power greater than five million modern laptops or PCs, and equal to the neural processing power of the human brain according to the Human Brain Project.
...

The exact hardware specifications of the JUPITER have not been shared yet, however EuroHPC claim the machine has strong renewable credentials and will need just 15MW of energy, which will be sourced from renewable projects.

Now if only they'd uses an Akida accelerator front end ...
I might be able to scrap together the half a billion dollars to buy one but the 15 million watts of power an hour to run it would not be available in my area even with 3 phase power so I might have to wait until they get one at the Council Library.

My opinion only DYOR
FF

AKIDA BALLISTA
 
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Diogenese

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I might be able to scrap together the half a billion dollars to buy one but the 15 million watts of power an hour to run it would not be available in my area even with 3 phase power so I might have to wait until they get one at the Council Library.

My opinion only DYOR
FF

AKIDA BALLISTA
I think it can run on gas.
 
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Diogenese

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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


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ULTRA LOW-POWER

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 low-power IoT 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.

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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.

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Smart Living is a solution that aims to make an environment of the future that improves people’s quality of life. Smart devices enabled by multimedia, artificial intelligence (AI), and Internet of Things (IoT) are constantly emerging and are becoming more popular, smart devices will continue to interconnect and converge, making people's lives smarter and more convenient.
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COMPANION ROBOTS​

Supporting the interaction of companion robots with their owners in their daily lives. Detect presence and identity through facial recognition. Anticipate and react to owner needs by observing head and eye movements, by tracking head pose and gaze. Pay attention to and appropriately adjust to mood through observation of owner’s emotional state.
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METAVERSE​

The metaverse is a concept of a 3D digital world. To offer an immersive metaverse virtual experience, tech companies are incorporating cutting-edge technologies to power the 3D world’s development. Such technologies include blockchain, augmented reality (AR) and virtual reality (VR), 3D reconstruction, artificial intelligence (AI), and the Internet of things (IoT).
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Companion robots are designed to interact naturally with humans, with the ability to perceive and respond to a user’s mental state, behaviours and commands. With these capabilities they can assist in combating loneliness and detecting depression along with helping in keeping people healthy at home through the remote monitoring of vital signs. This is achieved through visual comprehension and NVISO’s human behavioural analytics AI systems have the capabilities to deliver this. NVISO’s solutions do this through its range of AI Apps providing visual observation, perception and semantic reasoning capabilities, the results of which can be used in identifying issues, in decision making processes and in supporting autonomous “human like” interactions.


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Capture video or images locally on device using off-the-shelve and commodity cameras or sensors (see details) and provide the sensor data to the SDK for processing. No calibration of the sensor or scene is required.

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Process captured data from a camera in real-time on-device (see supported devices) with our SDK to extract desired signals (see available signals). SDK runs efficiently on the CPU, GPU, NPU or state-of-the-art Neuromorphic processor cores for various performance / power tradeoffs.

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Access the provided signals on-device or transmit them to other devices and then act on them to deliver innovative product features. Analyze the results for real-time interactions or integration with application services without storing or transmitting P-II data.

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INTERIOR MONITORING SYSTEMS​

NVISO’s Human Behaviour AI SDK is already being used in advanced vehicle prototypes for interior camera monitoring systems. By incorporating NVISO’s Human Behaviour artificial intelligence, it adds a new layer of safety, security, and personalization by monitoring and analyzing implicit behavior of the driver and passengers. Learn More.
Smart Health

PATIENT MONITORING AND ASSESSMENT​

NVISO’s Human Behaviour AI SDK provides innovative secure solutions that can help medical professionals around the world improve patient quality of life through real-time intelligent devices that understand patients' state for improved assessments and monitoring of advanced emotions and patient vital signs. Learn More.

CLIENTS & PARTNERS​

Darwin

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Brainchip

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BON
Thanks pmel,

How significant is that top box showing generic CPU, GPU, NPU, and AKIDA Neuromorphic?!
 
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... but we do scroll by in the "Clients & Partners" cavalcade at the bottom of this page:

https://www.nviso.ai/en/technology
It is important to understand that when particular language is used by a startup funded by venture capital it is most likely highly significant. The following definition of the term ‘milestone’ as used by Nviso takes on greater significance:

“Startup Milestones are 'tracking marks' for both Startups and Venture Capitalists.
They are crucial for raising the desired funds from VCs. As it defines how much a startup has struck off its key goals to prove its competence to potential investors.14 Jan 2021”

As I mentioned before Tim Llewellyn stated quite clearly that AKIDA technology is the only technology powerful enough at ultra low power to run all their Apps at the Edge for in cabin monitoring.

So finding Brainchip was crucial and has meant that:

NVISO achieves another milestone with Interior Monitoring System running on Neuromorphic computing

16th May, 2022​

We have reached another important milestone after showcasing the world’s first commercial grade emotion recognition AI App designed for neuromorphic processing, this technology has been integrated into our test vehicle and is now accelerating automotive interior monitoring systems addressing both driver and occupant monitoring systems. DMS being 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. Advanced driver monitoring systems (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. This feedback enables the driver and vehicle to take action before safety is compromised. While in occupant monitoring systems, it is not only the driver who is the focus of attention. The camera is positioned in such a way that all seats are in its field of vision. The system can detect the presence of any other occupant, front passengers, and can thus deactivate the airbag if, for instance, a child safety seat is present. IMS uses machine learning to enable in-vehicle systems to sense their occupants’ emotional states and gestures to provide personalized experiences in the transition to automated driving”

Blind Freddie claims he can see this as clear as day but it is my opinion only so DYOR.
FF

AKIDA BALLISTA
 
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It is important to understand that when particular language is used by a startup funded by venture capital it is most likely highly significant. The following definition of the term ‘milestone’ as used by Nviso takes on greater significance:

“Startup Milestones are 'tracking marks' for both Startups and Venture Capitalists.
They are crucial for raising the desired funds from VCs. As it defines how much a startup has struck off its key goals to prove its competence to potential investors.14 Jan 2021”

As I mentioned before Tim Llewellyn stated quite clearly that AKIDA technology is the only technology powerful enough at ultra low power to run all their Apps at the Edge for in cabin monitoring.

So finding Brainchip was crucial and has meant that:

NVISO achieves another milestone with Interior Monitoring System running on Neuromorphic computing

16th May, 2022​

We have reached another important milestone after showcasing the world’s first commercial grade emotion recognition AI App designed for neuromorphic processing, this technology has been integrated into our test vehicle and is now accelerating automotive interior monitoring systems addressing both driver and occupant monitoring systems. DMS being 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. Advanced driver monitoring systems (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. This feedback enables the driver and vehicle to take action before safety is compromised. While in occupant monitoring systems, it is not only the driver who is the focus of attention. The camera is positioned in such a way that all seats are in its field of vision. The system can detect the presence of any other occupant, front passengers, and can thus deactivate the airbag if, for instance, a child safety seat is present. IMS uses machine learning to enable in-vehicle systems to sense their occupants’ emotional states and gestures to provide personalized experiences in the transition to automated driving”

Blind Freddie claims he can see this as clear as day but it is my opinion only so DYOR.
FF

AKIDA BALLISTA
From the EURO NCAP 2025 Roadmap:

“PRIMARY SAFETY

Driver Monitoring (2020)

More than ninety percent of road accidents are caused by “human mistakes”. In general, two kinds of mistakes can be observed: violations, of which speeding and driving under the influence of alcohol or drugs are most common; and human “errors”, in which the driver state - inattentiveness, fatigue, distraction - and inexperience play an important role. In an aging society, sudden medical incapacitation is also a growing cause of road crashes.

Already, driver advisory systems such as Speed Assistance Systems (SAS) and Attention Assist target the human ele- ment in crashes by alerting the driver in critical situations and, ultimately, by supporting the driver to improve his behaviour. In addition, adapting intervention criteria to individual drivers and the driver’s state may provide a significant potential for earlier interventions in the future without compromising false-positive levels.

Euro NCAP envisages an incentive for driver monitoring systems
that effectively detect impaired and distracted driving and give appropriate warning and take effective action e.g. initiating a safe evasive manoeuvre, limp home mode, increased increasing sensitivity of Electronic Stability Control, lane support, speed, etc. Implementation in the overall rating is planned in phases, starting with systems that have already entered the market.

The assessment will evolve around how reliably and accurately the status of the driver is detected and what action the vehicle takes based on the information.

Other aspects, such as driver position monitoring, could be added in future iterations of the protocol.

Effective driver monitoring will also be a prerequisite for automated driving, to make sure that, where needed, control can be handed back to a driver who is
fit and able to drive the vehicle.

This item will be taken on board under the HMI requirements for Automated Driving.”
 
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Diogenese

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Another market for nviso and you-know-who:

Solving the digital identity dilemma

Bringing greater trust and transparency to online dealings is something of a digital holy grail, estimated to be worth US$49.5 billion in 2026.


https://www.theaustralian.com.au/sp...5FEW5Q_TOQfON8i0bOR5yHx5yDh71QopYC7idfLj-bXAQ

The goal of creating a simple yet robust and consistent method of digital identification has been the recipient of billions of dollars in research and investment, including more than $600 million being spent by the Australian Government on its federated digital identity system.

However, this is a drop in the ocean compared to global efforts to bring greater trust and transparency to online dealings, with a February 2021 study from Statista suggesting the global digital identity solution market is projected to grow from US$23.3 billion in 2020 to US$49.5 billion in
2026.
 
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From the EURO NCAP 2025 Roadmap:

“PRIMARY SAFETY

Driver Monitoring (2020)

More than ninety percent of road accidents are caused by “human mistakes”. In general, two kinds of mistakes can be observed: violations, of which speeding and driving under the influence of alcohol or drugs are most common; and human “errors”, in which the driver state - inattentiveness, fatigue, distraction - and inexperience play an important role. In an aging society, sudden medical incapacitation is also a growing cause of road crashes.

Already, driver advisory systems such as Speed Assistance Systems (SAS) and Attention Assist target the human ele- ment in crashes by alerting the driver in critical situations and, ultimately, by supporting the driver to improve his behaviour. In addition, adapting intervention criteria to individual drivers and the driver’s state may provide a significant potential for earlier interventions in the future without compromising false-positive levels.

Euro NCAP envisages an incentive for driver monitoring systems
that effectively detect impaired and distracted driving and give appropriate warning and take effective action e.g. initiating a safe evasive manoeuvre, limp home mode, increased increasing sensitivity of Electronic Stability Control, lane support, speed, etc. Implementation in the overall rating is planned in phases, starting with systems that have already entered the market.

The assessment will evolve around how reliably and accurately the status of the driver is detected and what action the vehicle takes based on the information.

Other aspects, such as driver position monitoring, could be added in future iterations of the protocol.

Effective driver monitoring will also be a prerequisite for automated driving, to make sure that, where needed, control can be handed back to a driver who is
fit and able to drive the vehicle.

This item will be taken on board under the HMI requirements for Automated Driving.”

No other company in the world has a product of any description that can match AKIDA’s ultra low power and performance.

As driver monitoring is to be compulsory at the same time as electric vehicles are being legislated AND as Mercedes Benz has proven range can be dramatically improved by reserving as much of the available battery power to turn the driving wheels it will make absolutely no sense not to adopt AKIDA technology for driver monitoring.

My opinion only DYOR
FF

AKIDA BALLISTA
 
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Tata Consulting Services remain in the shadows but the following link opens to a research paper which when you open the additional authors discloses all the know AKIDA technology fans. Unfortunately the paper is only available directly from the authors:


My opinion only DYOR
FF

AKIDA BALLISTA

PS: Posted here before but still of interest:

 
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Date : 17/12/2021

BrainChip, an unrivalled Neural Network Processing Technology​

Brainchip, an unrivalled neural network processing technology​

Just take a moment to think about a computer chip that can genuinely learn all by itself in a way that is like how we people can learn, for instance, by processing sound, vision, and touch, not just through the usual binary data such as zero and one, but through neuromorphic processing of these data which is named spikes, would that be a tech revolution? Know more about Brainchip, a new revolution.
Well, that is the technology that BrainChip (ASX: BRN) is developing right now. BrainChip is pushing the boundaries of Artificial Intelligence (AI). its flagship product, Akida is a Neuromorphic System on a Chip or in short NSoC. This technology has turned a few heads in various emerging industries, including the Internet of Things (IoT), self-driving car, and data centres to name a few. Thus, BrainChip is eyeing a wide array of applications with its unrivalled technology.
Since 2011, BrainChip focuses on the development of software and hardware-accelerated solutions for advanced artificial intelligence and machine learning applications. However, one product has emerged as the cornerstone for BrainChip, it is its star product named Akida. Akida is a Neuromorphic Processor. It emulates a similar concept to the human’s neural network to provide a complete ultra-low power and fast AI Edge Network for vision, audio, and smart transducer applications.
BrainChip shares have been a darling on the ASX for over a year now. The momentum has been taking BRN shares to new highs. Recently, BRN shares have hit $1.48 a share. This time, it may be a case of too much love. With history on our side as we make this recommendation, we believe it’s time to book profits and exit positions from BrainChip. The valuation seems too stretched at these prices and a similar pattern has emerged as it did in 2020 – suggesting that it can lead to a correction.

Why are BrainChip Shares Surging?​

First let’s look at why BrainChip shares are surging over 100% in the past month and over 58% over the past 1 week. While there were no market sensitive announcements made since the New Year to trigger a price rise of over 106% in 2022, BrainChip did point towards the appointment of a new non-executive chairman and a new customer for their Early Access Program to have been the cause for the recent spike in volume.
On the 4th of January, BrainChip announced that Pia Turcinov has been appointed as a non-executive director effective 04 January 2022. Pia Turcinov is an accomplished executive and non-executive director with broad and strategic experience across a range of industries. Ms. Turcinov manages a portfolio career, holding several positions with the common focus on the opportunities that innovation, technology, and diversification offer.
With more than 30 years’ industry experience, she has qualifications in law and business management, and shares her expertise as a strategic commercialisation advisor, innovation champion, mentor, facilitator and public speaker on topics relating to entrepreneurship, technological disruption and Science, Technology, Engineering and Mathematics (STEM). While this is a fantastic appointment, it does not warrant a 100% surge in the stock price in our opinion.
The second possible catalyst could have been on the 10th of January when the company issued a press release stating that an “Early Access Program” customer, Information Systems Laboratories, is using BrainChip technology in an artificial Intelligence-based radar research project for the Air Force Research Laboratory.
BrainChip went on to confirm that this does not materially impact its fundamentals as there is no commercialisation agreement in place with Information Systems Laboratories at this time. Therefore, this piece of news/information did not have to be announced to the ASX. This second possible catalyst looks to have just increased the hype and speculation around BrainChip, rather than materially impact its valuation/fundamentals.
Finally, in recent days BrainChip itself mentioned that there has been an increase in editorial tech media coverage regarding the AI market in various market segments where they operate. This coverage has grown since the completion of their chip. This increase in coverage could be a factor regarding increasing market confidence in their technology. While these media coverages do put an added positive spin on the stock’s potential, we would like to emphasize that their commercialisation potential has been accounted for in our valuation of BrainChip’s fair value.
To sum up, there is no catalyst for the 105% surge since the New Year. In fact, we can go on to add that the speculation has only increased during this time – leading to wild bets being made on BrainChip.
Small Cap stocks hardly trade on fundamentals in the short-term. But BrainChip is no longer a small cap stock on the ASX. At current levels, BrainChip is demanding a market capitalisation of $2.02 billion following recent surges. However, it seems that BrainChip shares are ignoring what is happening in the rest of the markets. Especially as technology stocks continue to be under pressure with the threat of interest rates pushing higher leading to higher risk-free rates and decreased valuations.

Why BrainChip’s Akida is a revolutionary product?​

One key question arises from the market? What exactly consists of the Akida technology and how it will drive substantial earnings growth?
BrainChip is developing a solid-state architecture that resembles the neuron in the human brain. The company has assembled 1.2 million of these neurons accompanied by synapses on a computer chip named Akida NSoC. The technology processes events or spikes. This differentiates from conventional data processing which made Akida so different from its competitions. Hence, this concept has some big advantages. The technology, known as the Spiking Neural Network (SNN) is much faster and consumes only a fraction of power whilst processing events compared to traditional technologies processing data.
BrainChip expects to mass commercialise the technology at a considerably lower price point. The company has many design wins and more than five hundred commercial prospects for its solutions. What we like about the Akida product is that it has the potential to generate three rock-solid revenue streams.
The first one is through its Intellectual Property (IP) license. BrainChip is expected to selectively license its IP associated with Akida to other players in the semiconductor industry. These licensing revenues will be non-recurring in nature. The second approach to revenue is via the collection of royalties. Once the licensing is completed and customer’s transition into commercial production, royalties will be paid to the company by chip manufacturers for each chip they sell which includes Akida IP. These royalties are a percentage of the selling prices and will be recurring in nature. And last but not least is the revenue from direct sales. BrainChip also intends to sell directly to end customers in select locations.
Overall, what we like about BrainChip’s Akida cutting edge tech is its differentiation as opposed to most chips used in AI applications today. Generally, in the industry, central processing units need frequent communications with the data centre. On the other hand, Akida functions in a similar fashion as the human brain, hence, operates as an event-based processor. This way, the chip consumes very little electrical power. As such, we have recognised that Akida’s largest market opportunity could be the Edge Computing sector. In our view, most Edge devices rely heavily on sensors that capture and process real-world data with limited power sources. Edge devices are pieces of equipment that provide an entry point into enterprise or service provider core networks, for instance, routers, routing switches, integrated access devices etc.
Diagram Description automatically generated

Fig.1 BrainChip’s Akida key product differentiations
Most of the chips used in Edge applications today are power-hungry general-purpose chips, such as Graphics Processing Units (GPUs) that consume approximately 1,000 times more power than the Akida chip. Or they are low-power Digital Signal Processors (DSPs) that use a similar amount of power to Akida, but with about 1/60th of the performance of Akida. And these DSPs have very high latency, so they can only perform relatively simple tasks. Akida’s low power consumption, reduced need for internet bandwidth and improved latency provides faster response times within a system, making Akida an ideal solution for Edge devices and for the use of the Internet of Things, such as sensors in autonomous vehicles.
As of today, there are three key technological challenges which we believe BrainChip’s Akida could solve. Akida will address these technological issues through its four key differentiations (Fig.1), (1) Low power consumption, (2) Small and lightweight, (3) On-chip fast learning and interference, and (4) Low heat generation.

BrainChip is on the verge of mass commercialisation of its flagship Akida chip​

BrainChip is very active and keen to accelerate its Akida chip commercialisation. Hence, the company has been active in discussions with various prospective customers to deploy its technology, including tier-1 automotive suppliers and manufacturers and smart home equipment manufacturers. Furthermore, BrainChip is also partnering with other chip companies. A few deals that we have seen since last year are the evaluation deal with Ford, and the NASA deal. These are perfect examples of what future applications could look like. With Ford, it is the implementation of neuromorphic computing technology to cars to propel autonomous vehicles. With NASA it is to test the use of Akida chip in spaceflight.
But one of the major milestones BrainChip has reached is the recent deal made with the Japanese semiconductor firm, MegaChips. Hence, BrainChip has just signed a four-year licensing deal with its Japanese counterpart that should bring in at least two million us dollars in the next twelve months. It is also worth noting that this will come along with royalties and additional license fees in the years thereafter.
As part of this new business relationship, MegaChips will utilise BrainChip Akida IP to support the development of AI-based solutions for edge computing.
MegaChips is a notable brand within the tech industry. The company maintains a reputation for designing microchips with low-energy consumption and powerful performance. Brainchip recently gained notoriety as well, due to the success of the Akida platform, which allows developers to create applications for a few smart devices and highly advanced IoT tech across a diverse range of industries.
Through this partnership, MegaChips developers are now capable of developing a wider range of sophisticated solutions and applications. This is made possible through the scalability and flexibility of the Akida technology.
We believe the recent deal with MegaChips is a mega step in the right direction, but the market will want to see a few more deals before it can value BrainChip for a dollar-per-share in our opinion. Although, we could see the shares starting to creep up. This might be the market expecting additional deals to materialise soon. However, many investors will continue to consider BrainChip as a “Speculative” bet for a bit longer in the absence of at least a handful of commercial deals.

How is BrainChip valued vis-à-vis its competition?​

Despite BrainChip is in fact a unique business that has developed an unrivalled technology, we have assessed the company against what we believe to be competitors that operate in the same space (Fig.2).
Graphical user interface, application, table, Excel Description automatically generated

Fig.2 BrainChip FCF valuation, and relative valuation, DUG and SMX
When we look at BrainChip’s multiples we can realise how the company has a solid foundation for further growth. Hence, BrainChip (BRN) has an EV Long-term revenue above its peers. Furthermore, its Price to book is 43.3 times which is much higher than DUG Technology (DUG) and Security Matters (SMX) which P/B are -3,382 times and 4 times, respectively. According to our projection, we forecast BRN’s free cash flow to reach $127 million by FY25 and a terminal FCF at circa $33 million. This led us to conclude an implied FCF Fair Value of $1.06 per share, which is an impressive 50% upside potential. On the other hand, the EV/REV and P/B brought a more conservative valuation. Overall, we are projecting BrainChip share price to be valued at 75 cents per share, which is a conservative 7% upside potential.
Now, we are not saying that BrainChip will rerate to that valuation level just like that. The company will need to close a lot more commercial deals. This should comprise outright sales of its Akida product, license income, and royalties. We believe the deal with MegaChips is a big step in the right direction, but the market will want to see a few more deals before it rerates BrainChip. We can see recently that BRN shares are starting to gain momentum, though, in anticipation of these additional deals. Furthermore, based on the company’s announcements around discussions it is having with prospective customers in various industries, we think that BrainChip is definitely on the right track, which is why we love this stock.
Graphical user interface, chart Description automatically generated

At the time of writing, BrainChip shares are changing hands for 70 cents apiece. Year-to-date, BRN gained an impressive 67% largely outperforming its peers SMX and DUG which shares lost 34% and 55%
 
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Build-it

Regular
Another market for nviso and you-know-who:

Solving the digital identity dilemma

Bringing greater trust and transparency to online dealings is something of a digital holy grail, estimated to be worth US$49.5 billion in 2026.


https://www.theaustralian.com.au/sp...5FEW5Q_TOQfON8i0bOR5yHx5yDh71QopYC7idfLj-bXAQ

The goal of creating a simple yet robust and consistent method of digital identification has been the recipient of billions of dollars in research and investment, including more than $600 million being spent by the Australian Government on its federated digital identity system.

However, this is a drop in the ocean compared to global efforts to bring greater trust and transparency to online dealings, with a February 2021 study from Statista suggesting the global digital identity solution market is projected to grow from US$23.3 billion in 2020 to US$49.5 billion in
2026.


Interesting article considering some of the big retailers Bunnings, K mart & Good Guys were reported this week to have facial recognition cameras in some of their stores.

Main St weren't to impressed claiming concerns regarding data collection

The retailers response was the cameras were used for repeat offenders being tracked by facial recognition to avoid thefts from occurring.

Maybe any concerns by the people entering these stores could be forewarned and advised that all images are kept on the camera using Edge technology big data centres are not involved (big brother).

Of course the irony is it is probably all ready occurring when driving/walking to the stores and as per the article in the Australian which Dio has posted.

Australians might be able to shop, work, learn, pay taxes and even find love online, but for the organisations they are interacting with, trust can be hard to establish.

Ha also Dio not sure if you spotted my post & comment re the camera washer that Valeo are using but I noticed there was no ogre.

Edge Compute.
 
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Terroni2105

Founding Member
Someone on facebook page mentioned this NVISO demo happening next week. He also mentioned they are using brainchip. Didn't see brainchip mentioned myself.I dont know how true it is. I dont want to take the credit but hasn't been shared here so sharing it.

Dyor

Hi Pmel, yes is was shared here by @chapman89 immediately after it was released and there was some talk then, i have registered for it and looking forward to hearing it as Nviso is clearly a fan of Akida tech
 
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Date : 17/12/2021

BrainChip, an unrivalled Neural Network Processing Technology​

Brainchip, an unrivalled neural network processing technology​

Just take a moment to think about a computer chip that can genuinely learn all by itself in a way that is like how we people can learn, for instance, by processing sound, vision, and touch, not just through the usual binary data such as zero and one, but through neuromorphic processing of these data which is named spikes, would that be a tech revolution? Know more about Brainchip, a new revolution.
Well, that is the technology that BrainChip (ASX: BRN) is developing right now. BrainChip is pushing the boundaries of Artificial Intelligence (AI). its flagship product, Akida is a Neuromorphic System on a Chip or in short NSoC. This technology has turned a few heads in various emerging industries, including the Internet of Things (IoT), self-driving car, and data centres to name a few. Thus, BrainChip is eyeing a wide array of applications with its unrivalled technology.
Since 2011, BrainChip focuses on the development of software and hardware-accelerated solutions for advanced artificial intelligence and machine learning applications. However, one product has emerged as the cornerstone for BrainChip, it is its star product named Akida. Akida is a Neuromorphic Processor. It emulates a similar concept to the human’s neural network to provide a complete ultra-low power and fast AI Edge Network for vision, audio, and smart transducer applications.
BrainChip shares have been a darling on the ASX for over a year now. The momentum has been taking BRN shares to new highs. Recently, BRN shares have hit $1.48 a share. This time, it may be a case of too much love. With history on our side as we make this recommendation, we believe it’s time to book profits and exit positions from BrainChip. The valuation seems too stretched at these prices and a similar pattern has emerged as it did in 2020 – suggesting that it can lead to a correction.

Why are BrainChip Shares Surging?​

First let’s look at why BrainChip shares are surging over 100% in the past month and over 58% over the past 1 week. While there were no market sensitive announcements made since the New Year to trigger a price rise of over 106% in 2022, BrainChip did point towards the appointment of a new non-executive chairman and a new customer for their Early Access Program to have been the cause for the recent spike in volume.
On the 4th of January, BrainChip announced that Pia Turcinov has been appointed as a non-executive director effective 04 January 2022. Pia Turcinov is an accomplished executive and non-executive director with broad and strategic experience across a range of industries. Ms. Turcinov manages a portfolio career, holding several positions with the common focus on the opportunities that innovation, technology, and diversification offer.
With more than 30 years’ industry experience, she has qualifications in law and business management, and shares her expertise as a strategic commercialisation advisor, innovation champion, mentor, facilitator and public speaker on topics relating to entrepreneurship, technological disruption and Science, Technology, Engineering and Mathematics (STEM). While this is a fantastic appointment, it does not warrant a 100% surge in the stock price in our opinion.
The second possible catalyst could have been on the 10th of January when the company issued a press release stating that an “Early Access Program” customer, Information Systems Laboratories, is using BrainChip technology in an artificial Intelligence-based radar research project for the Air Force Research Laboratory.
BrainChip went on to confirm that this does not materially impact its fundamentals as there is no commercialisation agreement in place with Information Systems Laboratories at this time. Therefore, this piece of news/information did not have to be announced to the ASX. This second possible catalyst looks to have just increased the hype and speculation around BrainChip, rather than materially impact its valuation/fundamentals.
Finally, in recent days BrainChip itself mentioned that there has been an increase in editorial tech media coverage regarding the AI market in various market segments where they operate. This coverage has grown since the completion of their chip. This increase in coverage could be a factor regarding increasing market confidence in their technology. While these media coverages do put an added positive spin on the stock’s potential, we would like to emphasize that their commercialisation potential has been accounted for in our valuation of BrainChip’s fair value.
To sum up, there is no catalyst for the 105% surge since the New Year. In fact, we can go on to add that the speculation has only increased during this time – leading to wild bets being made on BrainChip.
Small Cap stocks hardly trade on fundamentals in the short-term. But BrainChip is no longer a small cap stock on the ASX. At current levels, BrainChip is demanding a market capitalisation of $2.02 billion following recent surges. However, it seems that BrainChip shares are ignoring what is happening in the rest of the markets. Especially as technology stocks continue to be under pressure with the threat of interest rates pushing higher leading to higher risk-free rates and decreased valuations.

Why BrainChip’s Akida is a revolutionary product?​

One key question arises from the market? What exactly consists of the Akida technology and how it will drive substantial earnings growth?
BrainChip is developing a solid-state architecture that resembles the neuron in the human brain. The company has assembled 1.2 million of these neurons accompanied by synapses on a computer chip named Akida NSoC. The technology processes events or spikes. This differentiates from conventional data processing which made Akida so different from its competitions. Hence, this concept has some big advantages. The technology, known as the Spiking Neural Network (SNN) is much faster and consumes only a fraction of power whilst processing events compared to traditional technologies processing data.
BrainChip expects to mass commercialise the technology at a considerably lower price point. The company has many design wins and more than five hundred commercial prospects for its solutions. What we like about the Akida product is that it has the potential to generate three rock-solid revenue streams.
The first one is through its Intellectual Property (IP) license. BrainChip is expected to selectively license its IP associated with Akida to other players in the semiconductor industry. These licensing revenues will be non-recurring in nature. The second approach to revenue is via the collection of royalties. Once the licensing is completed and customer’s transition into commercial production, royalties will be paid to the company by chip manufacturers for each chip they sell which includes Akida IP. These royalties are a percentage of the selling prices and will be recurring in nature. And last but not least is the revenue from direct sales. BrainChip also intends to sell directly to end customers in select locations.
Overall, what we like about BrainChip’s Akida cutting edge tech is its differentiation as opposed to most chips used in AI applications today. Generally, in the industry, central processing units need frequent communications with the data centre. On the other hand, Akida functions in a similar fashion as the human brain, hence, operates as an event-based processor. This way, the chip consumes very little electrical power. As such, we have recognised that Akida’s largest market opportunity could be the Edge Computing sector. In our view, most Edge devices rely heavily on sensors that capture and process real-world data with limited power sources. Edge devices are pieces of equipment that provide an entry point into enterprise or service provider core networks, for instance, routers, routing switches, integrated access devices etc.
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Fig.1 BrainChip’s Akida key product differentiations
Most of the chips used in Edge applications today are power-hungry general-purpose chips, such as Graphics Processing Units (GPUs) that consume approximately 1,000 times more power than the Akida chip. Or they are low-power Digital Signal Processors (DSPs) that use a similar amount of power to Akida, but with about 1/60th of the performance of Akida. And these DSPs have very high latency, so they can only perform relatively simple tasks. Akida’s low power consumption, reduced need for internet bandwidth and improved latency provides faster response times within a system, making Akida an ideal solution for Edge devices and for the use of the Internet of Things, such as sensors in autonomous vehicles.
As of today, there are three key technological challenges which we believe BrainChip’s Akida could solve. Akida will address these technological issues through its four key differentiations (Fig.1), (1) Low power consumption, (2) Small and lightweight, (3) On-chip fast learning and interference, and (4) Low heat generation.

BrainChip is on the verge of mass commercialisation of its flagship Akida chip​

BrainChip is very active and keen to accelerate its Akida chip commercialisation. Hence, the company has been active in discussions with various prospective customers to deploy its technology, including tier-1 automotive suppliers and manufacturers and smart home equipment manufacturers. Furthermore, BrainChip is also partnering with other chip companies. A few deals that we have seen since last year are the evaluation deal with Ford, and the NASA deal. These are perfect examples of what future applications could look like. With Ford, it is the implementation of neuromorphic computing technology to cars to propel autonomous vehicles. With NASA it is to test the use of Akida chip in spaceflight.
But one of the major milestones BrainChip has reached is the recent deal made with the Japanese semiconductor firm, MegaChips. Hence, BrainChip has just signed a four-year licensing deal with its Japanese counterpart that should bring in at least two million us dollars in the next twelve months. It is also worth noting that this will come along with royalties and additional license fees in the years thereafter.
As part of this new business relationship, MegaChips will utilise BrainChip Akida IP to support the development of AI-based solutions for edge computing.
MegaChips is a notable brand within the tech industry. The company maintains a reputation for designing microchips with low-energy consumption and powerful performance. Brainchip recently gained notoriety as well, due to the success of the Akida platform, which allows developers to create applications for a few smart devices and highly advanced IoT tech across a diverse range of industries.
Through this partnership, MegaChips developers are now capable of developing a wider range of sophisticated solutions and applications. This is made possible through the scalability and flexibility of the Akida technology.
We believe the recent deal with MegaChips is a mega step in the right direction, but the market will want to see a few more deals before it can value BrainChip for a dollar-per-share in our opinion. Although, we could see the shares starting to creep up. This might be the market expecting additional deals to materialise soon. However, many investors will continue to consider BrainChip as a “Speculative” bet for a bit longer in the absence of at least a handful of commercial deals.

How is BrainChip valued vis-à-vis its competition?​

Despite BrainChip is in fact a unique business that has developed an unrivalled technology, we have assessed the company against what we believe to be competitors that operate in the same space (Fig.2).
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Fig.2 BrainChip FCF valuation, and relative valuation, DUG and SMX
When we look at BrainChip’s multiples we can realise how the company has a solid foundation for further growth. Hence, BrainChip (BRN) has an EV Long-term revenue above its peers. Furthermore, its Price to book is 43.3 times which is much higher than DUG Technology (DUG) and Security Matters (SMX) which P/B are -3,382 times and 4 times, respectively. According to our projection, we forecast BRN’s free cash flow to reach $127 million by FY25 and a terminal FCF at circa $33 million. This led us to conclude an implied FCF Fair Value of $1.06 per share, which is an impressive 50% upside potential. On the other hand, the EV/REV and P/B brought a more conservative valuation. Overall, we are projecting BrainChip share price to be valued at 75 cents per share, which is a conservative 7% upside potential.
Now, we are not saying that BrainChip will rerate to that valuation level just like that. The company will need to close a lot more commercial deals. This should comprise outright sales of its Akida product, license income, and royalties. We believe the deal with MegaChips is a big step in the right direction, but the market will want to see a few more deals before it rerates BrainChip. We can see recently that BRN shares are starting to gain momentum, though, in anticipation of these additional deals. Furthermore, based on the company’s announcements around discussions it is having with prospective customers in various industries, we think that BrainChip is definitely on the right track, which is why we love this stock.
Graphical user interface, chart Description automatically generated

At the time of writing, BrainChip shares are changing hands for 70 cents apiece. Year-to-date, BRN gained an impressive 67% largely outperforming its peers SMX and DUG which shares lost 34% and 55%
I had no recall of seeing this article before but what struck me was a much better understanding about the technology than the WANCA class and the following extracted paragraph:

“BrainChip expects to mass commercialise the technology at a considerably lower price point.

The company has many design wins and more than five hundred commercial prospects for its solutions.

What we like about the Akida product is that it has the potential to generate three rock-solid revenue streams.”


Given the relative accuracy of the whole article where did these numbers come from???




My opinion only DYOR
FF

AKIDA BALLISTA
 
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We are bringing the next generation of AI enabled user interaction to Mercedes-Benz cars using deep learning. As a machine learning platform engineer, you will develop platform software related components for one of the most innovative, cutting-edge and technologically advanced product.
 
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I had no recall of seeing this article before but what struck me was a much better understanding about the technology than the WANCA class and the following extracted paragraph:

“BrainChip expects to mass commercialise the technology at a considerably lower price point.

The company has many design wins and more than five hundred commercial prospects for its solutions.

What we like about the Akida product is that it has the potential to generate three rock-solid revenue streams.”


Given the relative accuracy of the whole article where did these numbers come from???




My opinion only DYOR
FF

AKIDA BALLISTA
I am a bit fixated on this statement:

“The company has many design wins and more than five hundred commercial prospects for its solutions.”

“Many design wins” -
The former CEO Mr. Dinardo spoke of design wins as being part of the process that Brainchip had to work through on the pathway to signing a commercial engagement.

“more than five hundred commercial prospects for its solutions” I recall Acting CEO Peter van der Made speaking about saturating the market and an explosion of sales. These statements were made in the six months leading up to the publication of this article.

On balance the terminology used and the circumstances leading up to it being made in my opinion gives it some significant credibility.

My opinion only DYOR
FF


AKIDA BALLISTA
 
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Good morning good night good evening I am in the US currently and will be speaking to the market owners to stop the bear market. I am going to NY today. Because of jetlag I have not slept
 
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Diogenese

Top 20
Good morning good night good evening I am in the US currently and will be speaking to the market owners to stop the bear market. I am going to NY today. Because of jetlag I have not slept
With your assistance, BrainChip is going to make Pamplona look like a walk in the park ...
 
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M_C

Founding Member
I am a bit fixated on this statement:

“The company has many design wins and more than five hundred commercial prospects for its solutions.”

“Many design wins” -
The former CEO Mr. Dinardo spoke of design wins as being part of the process that Brainchip had to work through on the pathway to signing a commercial engagement.

“more than five hundred commercial prospects for its solutions” I recall Acting CEO Peter van der Made speaking about saturating the market and an explosion of sales. These statements were made in the six months leading up to the publication of this article.

On balance the terminology used and the circumstances leading up to it being made in my opinion gives it some significant credibility.

My opinion only DYOR
FF


AKIDA BALLISTA
@Fact Finder @Diogenese can I get an opinion on this please? ( I know it says massive power consumption but it seems to me this is an assumption by the writer??)

Intel promises 100 billion transistors in the new Ponte Vecchio compute GPU to bring the company into more mainstream AI & high-performance computing applications​


 
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RobjHunt

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I am a bit fixated on this statement:

“The company has many design wins and more than five hundred commercial prospects for its solutions.”

“Many design wins” -
The former CEO Mr. Dinardo spoke of design wins as being part of the process that Brainchip had to work through on the pathway to signing a commercial engagement.

“more than five hundred commercial prospects for its solutions” I recall Acting CEO Peter van der Made speaking about saturating the market and an explosion of sales. These statements were made in the six months leading up to the publication of this article.

On balance the terminology used and the circumstances leading up to it being made in my opinion gives it some significant credibility.

My opinion only DYOR
FF


AKIDA BALLISTA

I agree with you FF, (which is not unusual as an understatement you generally put forward a persuasive argument). 😂

The language and accurate descriptions reveals some knowledge/research for the article which is far greater than some WANCA’s efforts.

I hope you’re right. Most are anticipating explosive growth; so 500 commercial prospects would be that big I don’t even have a word for it! (Most likely Wiltzy’s green baby flying a rocket ship would best fit) 😂

Realistically I think the term explosive growth reflects the contracts (with NDA’s and increased interest for Akida not necessarily product launches for the short term. Not that I think anyone is trying to mislead us at all, I think it’s perspective or context the term was used in. This is because of the long lead in times required for product design/manufacturing.

However I am expecting a few products e.g. Renasas and likely 2 or 3 unknowns throughout the year which will strengthen and grow the SP.

It’s boring I know and I have to work at keeping my wife (and adult children who have invested as well) as excited about this investment but I’m patiently waiting until 2024 to really see the SP go vertical via autonomous vehicles and Valeo.

When US Defence via contractors starts implementing products it will be massive also.

I believe it will be well worth the wait!

Thanks for all your posts though FF. I enjoy reading them as they are very entertaining and informative!

Cheers
 
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