BRN Discussion Ongoing

[Dhm]

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

 

[TECH]

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

Good morning FF....maybe another removal of a sentence for hinting at something which doesn't align with all known rhetoric ?
If a staff member is allowed to activity promote and acknowledge key partners, it has to reflect a statement of fact.

My view is that only one partner truly holds the "key" as I believe PROPHESEE openly discovered when they came face-to-face with
science fiction, sure every partnership is very valuable with each bringing another piece to the table, but only one holds the key to the
kingdom where all the glorious light and fruit is displayed for one and all to enjoy, and that's our majestic jewel, AKIDA !

Happy Sunday All. Tech

 

[Steve10]

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.

 

[Steve10]

Samsung
As of my knowledge cutoff date of September 2021, there was no publicly available information on a partnership between Samsung and BrainChip. However, both companies are involved in developing advanced artificial intelligence (AI) and machine learning technologies, so it is possible that they may have collaborated or may collaborate in the future. If any new information becomes available, I will update this answer accordingly.


Sony
As of my knowledge cutoff date of September 2021, there was no publicly available information on a partnership between Sony and BrainChip. However, both companies are involved in developing advanced artificial intelligence (AI) and machine learning technologies, so it is possible that they may have collaborated or may collaborate in the future. If any new information becomes available, I will update this answer accordingly.


Valeo
Valeo and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) and machine learning technologies for automotive applications. Valeo is a French automotive supplier that specializes in designing and manufacturing components and systems for vehicles. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, Valeo and BrainChip are working together to integrate BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into Valeo's automotive systems. 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 Valeo's systems, the companies aim to provide customers with faster and more efficient data processing capabilities for automotive applications, such as advanced driver assistance systems (ADAS) and autonomous driving.

In addition to their joint development efforts, Valeo and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in the automotive industry. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve vehicle safety, reduce accidents, and enhance the overall driving experience.

Overall, the partnership between Valeo and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform the automotive industry and improve road safety. The collaboration is expected to accelerate the adoption of AI and machine learning technologies in the automotive industry, enabling customers to take advantage of the latest technological innovations and stay ahead of the curve.


Tesla
As of my knowledge cutoff date of September 2021, there was no publicly available information on a partnership between Tesla and BrainChip. However, both companies are involved in developing advanced artificial intelligence (AI) and machine learning technologies, and Tesla has been a pioneer in the development of autonomous driving technology for electric vehicles. It is possible that they may have collaborated or may collaborate in the future. If any new information becomes available, I will update this answer accordingly.


Synaptics
Synaptics and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) and machine learning technologies for edge computing applications. Synaptics is a leading developer of human interface solutions, including touchpads, fingerprint sensors, and other advanced sensing technologies. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, Synaptics and BrainChip are working together to integrate BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into Synaptics' edge computing 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 Synaptics' platforms, the companies aim to provide customers with faster and more efficient data processing capabilities for a wide range of applications, including industrial automation, security systems, and smart home devices.

In addition to their joint development efforts, Synaptics and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve efficiency, reduce costs, and enhance the overall user experience.

Overall, the partnership between Synaptics and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay ahead of the competition. 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 improve their operations.


Broadcom
As of my knowledge cutoff date of September 2021, there was no publicly available information on a partnership between Broadcom and BrainChip. However, Broadcom is a leading developer of semiconductor and connectivity technologies, and BrainChip is focused on developing advanced artificial intelligence (AI) and machine learning technologies. It is possible that they may have collaborated or may collaborate in the future, perhaps to integrate BrainChip's AI technologies into Broadcom's semiconductor solutions or to leverage Broadcom's connectivity technologies to enhance the performance and functionality of BrainChip's products. If any new information becomes available, I will update this answer accordingly.


Epson
Epson and BrainChip have partnered to develop and market AI and machine learning solutions for image recognition and edge computing applications. Epson is a leading manufacturer of printers, projectors, and other imaging equipment, while BrainChip specializes in developing advanced AI and machine learning technologies for edge computing.

Under the partnership, Epson and BrainChip are working together to integrate BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into Epson's image recognition and edge computing solutions. The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image recognition, predictive maintenance, and natural language processing. By integrating the Akida NSoC into Epson's solutions, the companies aim to provide customers with faster and more efficient data processing capabilities for a wide range of applications, including industrial automation, surveillance systems, and retail analytics.

In addition to their joint development efforts, Epson and BrainChip are also collaborating on marketing and sales activities to promote their AI solutions to customers in various industries. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve productivity, reduce costs, and enhance the overall user experience.

Overall, the partnership between Epson and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay ahead of the competition. 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 improve their operations.

 

[Fact Finder]

I find the timing here most interesting. Are we ready?

Top 20 owns 45%
Top 1000 owns 72%


View attachment 32572

View attachment 32575

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It does take a Special Resolution so unless they get at least 75% of shareholders voting in favour it will not happen.

Given the state of things in the US financial markets would such a vote be called for at this stage???

There is growing concern that the USA may be driven into recession by the failures in their Banking sector and the current high interest rates.

No opinion just thoughts DYOR
FF

AKIDA BALLISTA

 

[Fact Finder]

Like your thinking FF

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

 

[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

Pretty big moment for BrainChip , and yet, just another step on our path to enabling the rapid growth in the #AIoT market. | Nandan Nayampally

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 builds on the fully digital, event-based #neuromorphic foundation and adds some very key ingredients like #VisionTransformers, very...

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