BRN Discussion Ongoing

[Fact Finder]

I suspect we could do this. We can identify wines, beers and a whole lot more, so.....

Already proven:

https://ro.ecu.edu.au/cgi/viewcontent.cgi?article=8241&context=ecuworkspost2013

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Steve10]

ChatGPT response when asked about high volume edge AI applications.

Here are some examples of high volume edge AI applications:

1. Smart Homes: AI-enabled devices such as smart thermostats, lighting systems, security cameras, and home assistants are increasingly being used in homes to improve convenience and safety.
2. Autonomous Vehicles: Self-driving cars use a variety of AI technologies, including computer vision, natural language processing, and machine learning, to perceive their surroundings and make decisions in real-time.
3. Industrial Automation: Edge AI can be used to monitor and control complex industrial processes, such as manufacturing assembly lines, power plants, and oil refineries.
4. Retail Analytics: Retailers are using edge AI to track and analyze customer behavior in stores, such as tracking foot traffic, identifying popular products, and analyzing customer demographics.
5. Healthcare Monitoring: Edge AI can be used in wearable devices to monitor vital signs, such as heart rate, blood pressure, and oxygen saturation, to provide real-time health data to healthcare providers.
6. Agriculture: Edge AI can be used in precision agriculture to monitor crops and soil conditions, optimize irrigation, and detect pests and diseases early.
7. Smart Cities: Edge AI can be used to manage traffic flow, optimize energy consumption, and monitor air and water quality in cities.

These are just a few examples of the many high-volume edge AI applications that are currently being developed and deployed.

I reviewed some high volume consumer electronics markets & smartphones are number one followed by headphones/earphones.

Smartphones = 1.2B
Headphones/Earphones = 1.1B
Home Audio = 585M
Wearables = 492M
TV's = 250M
Laptops/PC's = 250M
Cookers/Ovens = 250M
Washers/Dryers = 170M
Vacuum Cleaners = 150M
Air Conditioners = 140M
Cars/Commercial Vehicles = 125M
Printers/Copiers = 110M
Motorcycles = 60M
Refrigerators = 40M
Video Game Consoles = 22M

The above add up to approx. 5B devices per year.

If 10% of the above devices adopt BRN edge AI equates to 500M pa x 30c IP royalty = $150M pa revenue.

There will also be many new consumer products released in future including household & personal robots.

The large numbers are in the following markets:
- IoT Devices = 15B in 2023 & 30B in 2030
- MCU's = 30B in 2021 & 71B in 2030

The big target markets are the 101B IoT devices & MCU's in 2030.

If 10% of the above devices adopt BRN edge AI equates to 10.1B pa x 30c IP royalty = $3.03B pa revenue.

Potential BRN revenue of circa $3.2B pa in 2030 x 60% EBITDA = $1.92B EBITDA less tax $403M-$576M depending on whether it will be taxed in US or Australia = $1.344B to $1.517B NPAT x PE100 = $134.4B to $151.7B MC / 1.8B SOI = $74.67 to $84.28 SP.
(Used PE100 as Nvidia is currently trading at PE 147.65)

 

[Deleted member 118]

And there we go again Brainchip identifying Renesas as a “KEY PARTNER.”

Prophesee is also described as a “KEY PARTNER” which I find confusing given Luca Verre’s comment about hoping to one day come to a commercial agreement.

All very strange and to this old retired lawyer who admittedly does get confused by the ways of the young lawyer, but even so how can someone or something be ‘KEY’ to the development of a commercially released product and there not be the scratch of a pen anywhere even one of those chook scratches on an iPad screen that looks nothing at all like the persons signature and could never be used as proof of anything. (Old technophobe rant)


“I’d like to personally thank the BrainChip teams as well as our key partners who are working with us on this journey, Renesas Electronics, Intel Corporation foundry services, PROPHESEE, Edge Impulse, SiFive, Ai Labs who are all a part of this announcement and BrainChip’s growth path.”

How can they be part of Brainchip’s growth path without at least an understanding of what that growth path is and in the normal course of business such an understanding used to be reduced to writing and called a ‘Memorandum of Understanding’ and the authorised officer from each party would dip their quills in ink and sign next to the pencil marked “X” placed their by the lawyers who have drawn the document.

I personally cannot believe that if this social media post is the truth that there are not one or more Memorandum of Understanding covering these KEY PARTNERSHIPS.

The ways of the modern world are certainly a mystery to which those attending the AGM may be able to find the key.

My opinion only DYOR
FF

AKIDA BALLISTA

Another great take.

 

[Fact Finder]

Already proven:

https://ro.ecu.edu.au/cgi/viewcontent.cgi?article=8241&context=ecuworkspost2013

My opinion only DYOR
FF

AKIDA BALLISTA

Actually to catch up on everything that Brainchip can sniff out this is where to go. The LinkedIn public page of Mr. Vanarse:

https://au.linkedin.com/in/anup-vanarse

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Deleted member 118]

And on a separate but significant enough to have its very own post point WHY does MegaChips not rate in this post as a KEY PARTNER when as they have said they were responsible for designing the backend of AKD1500. The only implication to be drawn is they had no part to play in the development of AKIDA 2nd gen.

Then again was it a simple omission or is it that AKIDA 2nd gen was a separate project that only involved the named KEY PARTNERS.

If so it was far more formal than a get together over a coffee where the subject of how to build AKIDA 2nd gen came up and a few ideas were chucked around by Brainchip with SIX KEY PARTNERS.

By the way did you know that social media in all its forms is riddled with FAKE news and huge numbers of researchers are working on ways to use Ai to identify visual and written FAKES without definitive success. The point being perhaps this post by a Brainchip employee is FAKE so DYOR at the AGM.

My opinion only DYOR
FF

AKIDA BALLISTA

The only thing fakes are these

 

[Fact Finder]

If you remember from the white paper published by Brainchip, it says and states that “automotive companies ARE ADOPTING akida for multiple use cases within the car”

It didn’t say potentially or it didn’t say we believe it can be adopted, it said automotive companies ARE ADOPTING AKIDA

And I am sure you remember that the Chief Financial Officer Ken Scarince made the point strongly to German investors that Brainchip was working with a number of automotive vehicle manufacturers.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[miaeffect]

Here is another thought.

In an early video by Alex the Rocket Scientist he stated that he considers Autonomous Vehicles, Drones etc as nothing more than robots. The point being that the same technology that will allow robots to function autonomously will be what makes autonomous vehicles possible.

So if you accept this logic how significant was the reveal by ANT61 that they were using AKIDA technology as the brain to allow their robot to act autonomously in space for the purpose of maintaining and repairing space craft.

Think about this idea. If ANT61 can do this using AKIDA technology in space would not AKIDA be able to hit valet parking in parking stations for six without the need for parking stations to install costly supporting infrastructure.

Would not AKIDA be able to undertake low speed hands off the wheel driving in congested tunnels or remote locations with poor connection like my carport here in Sydney.

My opinion only DYOR
FF

AKIDA BALLISTA

How about this traffic condition

 

[Deleted member 118]

View attachment 32567

Nandan Nayampally on LinkedIn: Akida 2nd Generation

Pretty big moment for BrainChip , and yet, just another step on our path to enabling the rapid growth in the #AIoT market. The 2nd generation #Akida platform…

www.linkedin.com

188 reactions and some interesting people that have reacted to the post, if anyone has looked

 

[Fact Finder]

How about this traffic condition
View attachment 32590

Yes of course more to the point AKIDA would not have created this mess in the first place.

 

[Fact Finder]

Yes of course more to the point AKIDA would not have created this mess in the first place.

And how can I be so confident. Like a bucket of water a road has a maximum capacity. Once a bucket is full it only takes one drop to over flow. Once a road is full it only requires one more car/vehicle to congest.

AKIDA would have been told by all the other AKIDA’s that the road was full and taken another route, stayed home or pulled into a coffee shop.

Simples.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Dozzaman1977]

Some interesting replies from ChatGPT about BRN partners.

Toshiba, Cisco, STMicroelectronics, NXP Semiconductor, Nordic Semiconductor, Texas Instruments, Nvidia, Qualcomm, Renesas, Socionext, Intel, ARM, Valeo, Synaptics & Epson are all partners.

Some mention product lines such as Qualcomm's Snapdragon, Nordic Semiconductor's nRF52 & nRF53, Intel's Movidius, Cisco's networking, NXP's i.MX family, Socionext's Milbeaut, ARM Cortex A/R/M range & Nvidia Jetson.

Samsung, Sony, Tesla, Broadcom & Apple are not partners.

Toshiba
Toshiba and BrainChip Holdings Ltd are partners in developing and marketing advanced artificial intelligence (AI) technologies for edge computing and other applications. Toshiba is a Japanese multinational conglomerate that offers a wide range of products and services, including consumer electronics, industrial machinery, and energy systems. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, Toshiba and BrainChip have developed a range of AI-based solutions for edge computing, including the Akida™ Neuromorphic System-on-Chip (NSoC) and the Akida Development Environment. The Akida NSoC is a low-power, high-performance chip that can be used for a variety of edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. The Akida Development Environment is a software platform that allows developers to create and test AI models for the Akida NSoC.

In addition to their joint development efforts, Toshiba and BrainChip are also collaborating on marketing and sales activities to promote their AI solutions to customers in various industries, including industrial automation, automotive, and consumer electronics.

Overall, the partnership between Toshiba and BrainChip is aimed at providing customers with innovative and efficient AI technologies for edge computing and other applications, and leveraging the strengths of both companies to create value for customers and stakeholders.


Cisco
Cisco and BrainChip Holdings Ltd are partners in developing and promoting AI and machine learning technologies for various industries. Cisco is a multinational technology conglomerate that provides a wide range of products and services, including networking equipment, security solutions, and collaboration tools. BrainChip Holdings Ltd is an Australian-based company that specializes in developing advanced AI and machine learning technologies.

Under the partnership, Cisco and BrainChip have collaborated to integrate BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into Cisco's networking equipment. The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By integrating the Akida NSoC into Cisco's networking equipment, the companies aim to provide customers with faster and more efficient data processing capabilities.

In addition to their joint development efforts, Cisco and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries, including industrial automation, healthcare, and retail. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve their operations, increase efficiency, and reduce costs.

Overall, the partnership between Cisco and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay competitive in the rapidly evolving digital landscape.


STMicroelectronics
STMicroelectronics and BrainChip Holdings Ltd are partners in developing and marketing advanced artificial intelligence (AI) technologies for edge computing and other applications. STMicroelectronics is a multinational semiconductor company that offers a broad range of products and solutions, including microcontrollers, sensors, power management systems, and connectivity solutions. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, STMicroelectronics and BrainChip have developed the Akida™ Neuromorphic System-on-Chip (NSoC), a low-power, high-performance chip that can be used for a variety of edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. The Akida NSoC is designed to enable efficient and intelligent processing of data at the edge, without the need for a centralized server or cloud computing.

In addition to their joint development efforts, STMicroelectronics and BrainChip are also collaborating on marketing and sales activities to promote their AI solutions to customers in various industries, including industrial automation, automotive, and consumer electronics.

Overall, the partnership between STMicroelectronics and BrainChip is aimed at providing customers with innovative and efficient AI technologies for edge computing and other applications. By leveraging their respective strengths and expertise, the companies are working to create value for customers and stakeholders, and help them stay competitive in the rapidly evolving digital landscape.


Texas Instruments
Texas Instruments (TI) and BrainChip Holdings Ltd are partners in developing and marketing advanced artificial intelligence (AI) and machine learning technologies for edge computing and other applications. Texas Instruments is a multinational semiconductor company that offers a wide range of products and solutions, including microcontrollers, processors, and analog and digital signal processing solutions. BrainChip Holdings Ltd is an Australian-based company that specializes in developing advanced AI and machine learning technologies.

Under the partnership, TI and BrainChip have developed the Akida™ Neuromorphic System-on-Chip (NSoC), a low-power, high-performance chip that can be used for a variety of edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. The Akida NSoC is designed to enable efficient and intelligent processing of data at the edge, without the need for a centralized server or cloud computing.

In addition to their joint development efforts, TI and BrainChip are also collaborating on marketing and sales activities to promote their AI solutions to customers in various industries, including industrial automation, automotive, and consumer electronics.

Overall, the partnership between TI and BrainChip is aimed at providing customers with innovative and efficient AI and machine learning technologies for edge computing and other applications. By leveraging their respective strengths and expertise, the companies are working to create value for customers and stakeholders, and help them stay competitive in the rapidly evolving digital landscape.


Nordic Semiconductor
Nordic Semiconductor and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) technologies for edge computing and other applications. Nordic Semiconductor is a multinational semiconductor company that specializes in developing wireless communication technologies, including Bluetooth Low Energy (BLE) and cellular IoT solutions. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, Nordic Semiconductor and BrainChip have integrated BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into Nordic Semiconductor's nRF52 and nRF53 Series of wireless System-on-Chips (SoCs). The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By integrating the Akida NSoC into Nordic Semiconductor's wireless SoCs, the companies aim to provide customers with faster and more efficient data processing capabilities.

In addition to their joint development efforts, Nordic Semiconductor and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries, including industrial automation, healthcare, and retail. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve their operations, increase efficiency, and reduce costs.

Overall, the partnership between Nordic Semiconductor and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay competitive in the rapidly evolving digital landscape.


Qualcomm
Qualcomm and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) and machine learning technologies for edge computing and other applications. Qualcomm is a multinational semiconductor and telecommunications equipment company that specializes in developing wireless communication technologies, including 5G and Internet of Things (IoT) solutions. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, Qualcomm and BrainChip are working together to integrate BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into Qualcomm's Snapdragon mobile platforms. The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By integrating the Akida NSoC into Snapdragon mobile platforms, the companies aim to provide customers with faster and more efficient data processing capabilities.

In addition to their joint development efforts, Qualcomm and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries, including automotive, healthcare, and consumer electronics. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve their operations, increase efficiency, and reduce costs.

Overall, the partnership between Qualcomm and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay competitive in the rapidly evolving digital landscape. The collaboration is expected to accelerate the adoption of AI and machine learning technologies in various industries, enabling customers to take advantage of the latest technological innovations and stay ahead of the curve.


NXP Semiconductor
NXP Semiconductors and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) and machine learning technologies for edge computing and other applications. NXP Semiconductors is a multinational semiconductor company that specializes in developing embedded systems, secure connectivity solutions, and other technologies for a wide range of industries. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, NXP Semiconductors and BrainChip are working together to integrate BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into NXP's i.MX family of processors. The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By integrating the Akida NSoC into i.MX processors, the companies aim to provide customers with faster and more efficient data processing capabilities.

In addition to their joint development efforts, NXP Semiconductors and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries, including automotive, industrial automation, and consumer electronics. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve their operations, increase efficiency, and reduce costs.

Overall, the partnership between NXP Semiconductors and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay competitive in the rapidly evolving digital landscape. The collaboration is expected to accelerate the adoption of AI and machine learning technologies in various industries, enabling customers to take advantage of the latest technological innovations and stay ahead of the curve.


Socionext
Socionext and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) and machine learning technologies for edge computing and other applications. Socionext is a multinational semiconductor company that specializes in developing system-on-chip (SoC) solutions, including graphics, imaging, and networking technologies. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, Socionext and BrainChip are working together to integrate BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into Socionext's Milbeaut imaging and video processing SoCs. The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By integrating the Akida NSoC into Milbeaut SoCs, the companies aim to provide customers with faster and more efficient data processing capabilities.

In addition to their joint development efforts, Socionext and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries, including automotive, industrial automation, and consumer electronics. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve their operations, increase efficiency, and reduce costs.

Overall, the partnership between Socionext and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay competitive in the rapidly evolving digital landscape. The collaboration is expected to accelerate the adoption of AI and machine learning technologies in various industries, enabling customers to take advantage of the latest technological innovations and stay ahead of the curve.


Intel
Intel and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) and machine learning technologies for edge computing and other applications. Intel is a multinational technology company that specializes in developing and manufacturing computer processors, memory chips, and other hardware components for a wide range of industries. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, Intel and BrainChip are working together to integrate BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into Intel's Movidius vision processing units (VPUs). The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By integrating the Akida NSoC into Movidius VPUs, the companies aim to provide customers with faster and more efficient data processing capabilities.

In addition to their joint development efforts, Intel and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries, including automotive, industrial automation, and consumer electronics. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve their operations, increase efficiency, and reduce costs.

Overall, the partnership between Intel and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay competitive in the rapidly evolving digital landscape. The collaboration is expected to accelerate the adoption of AI and machine learning technologies in various industries, enabling customers to take advantage of the latest technological innovations and stay ahead of the curve.


ARM
Arm Holdings and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) and machine learning technologies for edge computing and other applications. Arm Holdings is a multinational technology company that specializes in developing and licensing microprocessor architecture and software. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, Arm and BrainChip are working together to optimize BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) for Arm-based devices, including Arm's Cortex-A, Cortex-R, and Cortex-M processors. The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By optimizing the Akida NSoC for Arm-based devices, the companies aim to provide customers with faster and more efficient data processing capabilities.

In addition to their joint development efforts, Arm and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries, including automotive, industrial automation, and consumer electronics. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve their operations, increase efficiency, and reduce costs.

Overall, the partnership between Arm and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay competitive in the rapidly evolving digital landscape. The collaboration is expected to accelerate the adoption of AI and machine learning technologies in various industries, enabling customers to take advantage of the latest technological innovations and stay ahead of the curve.


Nvidia
NVIDIA and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) and machine learning technologies for edge computing and other applications. NVIDIA is a leading graphics processing unit (GPU) manufacturer and is also a key player in the AI space, offering a range of hardware and software products for AI applications. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, NVIDIA and BrainChip are working together to integrate BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into NVIDIA's Jetson platform. The Jetson platform is an AI computing platform that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By integrating the Akida NSoC into the Jetson platform, the companies aim to provide customers with faster and more efficient data processing capabilities.

In addition to their joint development efforts, NVIDIA and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries, including automotive, industrial automation, and consumer electronics. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve their operations, increase efficiency, and reduce costs.

Overall, the partnership between NVIDIA and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay competitive in the rapidly evolving digital landscape. The collaboration is expected to accelerate the adoption of AI and machine learning technologies in various industries, enabling customers to take advantage of the latest technological innovations and stay ahead of the curve.


Renesas
Renesas Electronics Corporation and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) and machine learning technologies for edge computing and other applications. Renesas is a Japanese semiconductor manufacturer that offers a range of microcontrollers, microprocessors, and other integrated circuits for various applications. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, Renesas and BrainChip are working together to optimize BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) for Renesas microcontrollers and microprocessors. The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By optimizing the Akida NSoC for Renesas devices, the companies aim to provide customers with faster and more efficient data processing capabilities.

In addition to their joint development efforts, Renesas and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries, including automotive, industrial automation, and consumer electronics. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve their operations, increase efficiency, and reduce costs.

Overall, the partnership between Renesas and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay competitive in the rapidly evolving digital landscape. The collaboration is expected to accelerate the adoption of AI and machine learning technologies in various industries, enabling customers to take advantage of the latest technological innovations and stay ahead of the curve.

Part 2 follows as wouldn't let me post it all in one go.

Maybe you can ask the chatgpt when will brainchip be receiving revenue from all these partners/customers!!!!!!

 

[Pmel]

Actually to catch up on everything that Brainchip can sniff out this is where to go. The LinkedIn public page of Mr. Vanarse:

https://au.linkedin.com/in/anup-vanarse

My opinion only DYOR
FF

AKIDA BALLISTA

Thanks @Fact Finder . Just had a look. To the investers who needs more insight in to brainchip. Open brainchip in linkedin . You will see under the name how many employees work for brainchip. Just check few you would know bit more about the partnership. The one i saw with connection to cisco is below. He worked for cisco for 15 years

Dyor

https://www.linkedin.com/in/romankochan

 

[Steve10]

Maybe you can ask the chatgpt when will brainchip be receiving revenue from all these partners/customers!!!!!!

As an AI language model, I don't have access to specific information about BrainChip's financials or partnerships. However, BrainChip is a publicly traded company, and you can find information about their revenue and financial performance in their quarterly and annual financial reports. Additionally, the timing of revenue from partnerships may depend on various factors such as the terms of the agreement, the progress of the partnership, and market conditions. It's best to consult with BrainChip directly or refer to their public financial disclosures for the latest information.

As an AI language model, I don't have access to specific data on BrainChip's revenue modeling. However, I can suggest some general methods for revenue modeling that companies may use:

1. Top-down modeling: This approach involves estimating the total addressable market for a company's products or services and then determining the company's market share based on its competitive position. This model can be useful for identifying potential revenue opportunities and evaluating growth prospects.
2. Bottom-up modeling: This approach involves estimating the revenue potential of individual products or services based on factors such as pricing, sales volume, and market share. This model can be useful for evaluating the performance of specific products or services and identifying areas for improvement.
3. Discounted cash flow (DCF) modeling: This approach involves estimating the future cash flows of a company and discounting them back to their present value to determine the company's overall value. This model can be useful for evaluating a company's long-term revenue potential and estimating its intrinsic value.

It's important to note that revenue modeling involves a degree of uncertainty and requires assumptions about future market conditions and competitive factors. Therefore, revenue models should be regularly updated and revised based on new data and insights.

 

[Fact Finder]

I posted this research paper some time ago but the KEY PARTNERSHIP with PROPHESEE makes it more relevant:

https://hal.science/hal-03906970v1/preview/Rancon%20et%20al.%20-%202022%20-%20StereoSpike%20Depth%20Learning%20With%20a%20Spiking%20Neural%20Network%282%29.pdf

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Kachoo]

Interesting article and well worth a read. Thanks for sharing.

Yesterday Socionext’s absence from the website even though it is actively promoting automotive solutions for AKIDA technologies was discussed.

We do know for a fact that Socionext has a number of active engagements with Foxconn.

These two Facts AKIDA for Automotive via Socionext and Foxconn ties to Socionext make me wonder about the following extract from this article:

“As well as software and connectivity, technology companies can help automakers—especially startups—when it comes to mass production. Such a collaboration can be found with Fisker and Foxconn. The former is a Californian EV startup headed by former Aston Martin designer Henrik Fisker, and the latter is a Taiwanese company best known for assembling iPhones. The two plan to codevelop a circa-$30,000 EV due to go into production at a facility in Ohio in 2024.
Fisker said in 2021 that Foxconn will help with product development, sourcing, and manufacturing, and that the partnership will enable his company to deliver products “at a price point that truly opens up electric mobility to the mass market.”
Not wishing to put all of its automotive eggs in one basket, Foxconn is also involved in a joint venture with Chinese automotive giant Geely, parent of Volvo, Polestar, and Lotus among others.”

If you are building an affordable EV one way to reduce the BOM is to reduce the number of semiconductors required.

Peter van der Made is on the record from the 2019 AGM as saying he could provide all the compute for fully autonomous driving with 100 AKD1000 chips.

Logic says if you are building a reasonably priced small EV you would not be looking to full autonomy so considerably less than 100 AKD1000 chips would be required.

Less than 100 chips against many hundreds to thousands would when the chips are $US25.00 each and less as IP create considerable savings.

So I ask the question if Socionext based on AKIDA technology was engaged in such a project with Foxconn would it be something they would be hiding from public view to protect first to market advantage or shouting from the rooftops.

My opinion and speculation only so DYOR
FF

AKIDA BALLISTA

I do think this is the way to get the masses to recognize the full potential of Akida. It's to get a product which is better cheaper to build more competative that opens the eyes of the larger companies. Adopt or go to the pasture or spend billions reinventing the wheel.

 

[Deleted member 118]

Is it me or is the site bloody slow @zeeb0t

 

[HopalongPetrovski]

Is it me or is the server bloody slow

Yeah, its lagging for me too.
Assumed it was my wifi which is like the Melbourne weather.......unpredictable, changeable and generally unreliable.

 

[TopCat]

Is it me or is the site bloody slow @zeeb0t

I got a message from Telstra at 2pm saying there were internet outages. Not sure how widespread though.

 

[Dhm]

Already proven:

https://ro.ecu.edu.au/cgi/viewcontent.cgi?article=8241&context=ecuworkspost2013

My opinion only DYOR
FF

AKIDA BALLISTA

No doubt proven. But the frustration is that only Edge Impulse, Brainchip, Silicon Labs and the 1000 eyes know it is us. Like much that is published these days. Not a whinge (no, really) just an observation.

 

[thelittleshort]

Anyone know who’s HD camera is to be attached to the recently launched Axiom Extravehicular Mobility Unit (AxEMU) spacesuit for the Artemis 3 mission?

Axiom Space reveals next-generation spacesuit for astronauts returning to lunar surface — Axiom Space

When astronauts return to the Moon for the first time in over 50 years as part of NASA’s Artemis III mission, they will be wearing Axiom Space’s next-generation spacesuit to walk on the lunar surface.

www.axiomspace.com