BRN Discussion Ongoing

[Makeme 2020]

Socionext promoting BRAINCHIP at the upcoming CES
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Home > Spotlights > Leading-Edge Automotive Custom SoC Solutions at CES 2023

Leading-Edge Automotive Custom SoC Solutions at CES 2023​

Featuring advanced technologies in automotive display, AI, and smart sensing​

Overview​

Socionext showcases its automotive custom SoC technologies at the CES 2023 Vehicle Tech and Advanced Mobility Zone, located in the Las Vegas Convention Center, North Hall, Booth 10654. CES runs from January 5-8, 2023.
Socionext’s advanced custom solutions are designed to help OEMs and tier-one automakers achieve complete ownership of key differentiating technologies with an added competitive edge.
These custom SoCs enable a wide range of applications, including ADAS sensors, central computing, networking, in-cabin monitoring, satellite connectivity, and infotainment.

Socionext’s Automotive Custom SoC Solutions and Services

Product Spotlight​

Electronic Products Article
Download

Videos​

• Splash video
• Advanced Custom SoC

Featured Technologies and Solutions​

Smart Display Controller for Automotive Remote Display​

Socionext's highly integrated ISO26262-certified SC1721/ SC1722/ SC1723 Series Graphics Display Controllers feature built-in safety mechanisms that enable error-free, safety-critical content to meet the safety standards required by today’s multi-display cockpit applications.

Collateral​

• Indigo Graphics Display Controller Signature Units
• Indigo3-X Smart Cluster Demonstrator
• Graphic Display Controllers: SC172x Series
• Indigo4 Presentation

Low Power 60GHz RF CMOS Radar Sensors with Embedded Sensing Engine and Built-in Antenna for In-Cabin Monitoring​

Socionext has created a variety of smart RADAR solutions, including 24GHz and 60GHz, and has developed a roadmap showcasing future technologies.
The Socionext 60GHz RF CMOS sensor has features and capabilities to support multiple in-cabin uses, including seat occupancy monitoring, child presence detection, and theft prevention

Videos​

• Socionext Radar Sensing Solutions
• Low-Power RF CMOS Sensor for Automotive Applications (Extended Version)

Collateral​

• 60GHz CMOS Radar – In Cabin Sensing Solutions
• 60GHz CMOS Radar – 3D Sensing Solutions

Advanced AI Solutions for Automotive​

Socionext has partnered with artificial intelligence provider BrainChip to develop optimized, intelligent sensor data solutions based on Brainchip’s Akida® processor IP.
BrainChip’s flexible AI processing fabric IP delivers neuromorphic, event-based computation, enabling ultimate performance while minimizing silicon footprint and power consumption. Sensor data can be analyzed in real-time with distributed, high-performance and low-power edge inferencing, resulting in improved response time and reduced energy consumption.

Videos & Links​

• Brainchip MetaTF Development Environment
• Brainchip Youtube Channel
• Brainchip Enablement Products

CES 2023 Visitor Registration Form​

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[Stable Genius]

I found this article interesting and talks about the market depth for our partnership with prophesee and MagikEye (not directly).

There is also a big list at the bottom of a multitude of fields Brainchip could be included in.

Enjoy

Smart Machine Vision Comes to the Edge, With Close to 200 Million Cameras to be Deployed by 2027​

Smart machine vision is on the job in factories, warehouses, and shipping centers, and ripe for development in smart cities, smart healthcare, and smart transportation

22 Dec 2022
Machine Vision (MV) uses technology that enables industrial machines to “see” and analyze tasks and make rapid decisions based on what the system sees. MV is fast becoming one of the most central technologies in automation. Given that now this technology is merging with Machine Learning (ML) to lead the transition to Industry 4.0, the possibilities are enormous, especially at the edge. According to global technology intelligence firm ABI Research, forecasts that by 2027, total shipments of camera systems will reach 197 million, with revenue of US$35 billion.

“The shift from machines that can automate simple tasks to autonomous machines that can “see” to optimize elements for extended periods will drive new levels of industrial innovation. This is the innovation that ML offers to MV (also often known as computer vision). ML can augment classic machine vision algorithms by employing the range and reach of neural network models, thus expanding machine vision far beyond visual inspection and quality control, the locus classicus of good, old-fashioned computer vision,” explains David Lobina, Artificial Intelligence and Machine Learning Analyst at ABI Research.
Of all the trends in the ML market, at the edge of computing has the most exciting applications and benefits – namely, in those devices that are part of embedded systems and the Internet of Things.

Smart manufacturing is perhaps the most straightforward case, where smart cameras, embedded sensors, and powerful computers can bring ML analyses to every process step. Smart machine vision is on the job in factories, warehouses, and shipping centers, aiding and assisting human workers by handling the more mundane tasks, freeing workers to use their expertise to focus on the essential parts.

The market is also ripe for development in smart cities, smart healthcare, and smart transportation, with ATOS (in cities), Arcturus(in healthcare), and Netradyne (in transportation) as some of the key vendors in these sectors.

As in other cases of edge ML applications, the best way for the technology to advance is through a combination of hardware and software solutions and employing information-rich data. It is through a holistic approach of how all these factors can merge and combine that will achieve fruitful results. Vendors are aware that they need to provide a competitive product. In cases involving sensitive or private data, such as healthcare, a whole package should provide hardware (cameras, chips, etc.), software, and an excellent way to analyze the data. The “whole package” approach is perhaps not the most common example in the market. Still, vendors must be increasingly aware of how their offerings can mesh with other solutions, often requiring hardware-agnostic software and software-agnostic data analysis. “This is a crucial point in the case of smart cities, healthcare, and transportation, especially regarding what machine vision can achieve in all these settings. For edge MV, software and hardware vendors, as well as service providers, will start taking an expansive view of the sector,” Lobina concludes.
These findings are from ABI Research’s Edge ML-Based Machine Vision Software and Services application analysis report. This report is part of the company’s Artificial Intelligence and Machine Learning research service, which includes research, data, and ABI Insights. Based on extensive primary interviews, Application Analysis reports present an in-depth analysis of key market trends and factors for a specific technology.
About ABI Research
ABI Research is a global technology intelligence firm delivering actionable research and strategic guidance to technology leaders, innovators, and decision makers around the world. Our research focuses on the transformative technologies that are dramatically reshaping industries, economies, and workforces today.
ABI Research提供开创性的研究和战略指导，帮助客户了解日新月异的技术。 自1990年以来，我们已与全球数百个领先的技术品牌，尖端公司，具有远见的政府机构以及创新的贸易团体建立了合作关系。 我们帮助客户创造真实的业务成果。
For more information about ABI Research’s services, contact us at +1.516.624.2500 in the Americas, +44.203.326.0140 in Europe, +65.6592.0290 in Asia-Pacific, or visit www.abiresearch.com.

Contact ABI Research​

Media Contacts​

Americas: +1.516.624.2542
Europe: +44.(0).203.326.0142
Asia: +65 6950.5670

Related Research​

Edge ML-Based Machine Vision Software and Services​

Research Report | 4Q 2022 | AN-4957

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AI & Machine Learning​

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5G Devices, Smartphones & Wearables

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Edge Impulse on LinkedIn: Smart Machine Vision Comes to the Edge, With Close to 200 Million Cameras…

Smart machine vision is on the job in factories, warehouses, and shipping centers, and ripe for development in smart cities, healthcare, and transportation…

www.linkedin.com

 

[Fact Finder]

The following paper is a good read and while it does not mention the name of the spike provider AKIDA is part of the SCaN program and is also linked to cognitive communications in other NASA proposals.

The Brainchip Patent approved mid this year allowing for encrypted communications between AKIDA chips also fits nicely in what is to be a closed secure communications network. The decision not to announce this Patent also fits with it being of interest to NASA.

Also for @MC🐠 there is a mention of his Amazon Web Services.

There are so many gossamer threads to the spider webs that are being revealed in all the connections that it seems inevitable that success has become entwined captured and devoured by the AKIDA Science Fiction Beast:

“Applying the Cognitive Space Gateway to Swarm Topologies

Abstract—NASA’s future vision for interplanetary networking includes a lunar network, Cube Satellite (CubeSat) constellations, and deep space robotic missions, comprising what could be viewed as a network of networks. Delay-tolerant networking (DTN) architecture and protocols provide a standard network layer among these varying scenarios and mitigate many chal- lenges of the space environment, such as long delays, unplanned service interruptions, and asymmetric links. The Cognitive Space Gateway (CSG) is a routing method in a DTN architecture that uses spiking neural networks as the learning element to optimize routing decisions in a complex environment.
This work aims to further develop cognitive networking technologies in several critical areas, including DTN, the CSG algorithm, SmallSat swarm topologies, and cloud services. The CSG algorithm is tested in a realistic scenario in which the emulated network topology is based on a SmallSat swarm. The emulation environment will be built upon a commercial cloud service, such as Amazon Web Services (AWS) Elastic Compute Cloud. This work investigates the ability of such a platform to enable a flexible, lower maintenance approach to creating a multi- hop network outside of a physical laboratory. The cloud platform will provide a secure environment allowing for collaboration among government and academic entities.
Index Terms—Cognitive Networking, CubeSat Swarms, Rout- ing, Network Modeling, Cloud Computing”

https://ntrs.nasa.gov/api/citations/20210014036/downloads/CCAAW_21_final.pdf

Merry Christmas to all visionary Brainchip shareholders.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[thelittleshort]

Katana mentioned a few times by posters previously

The video below sounds like they are directly describing Akida IP?

“Runs on battery - potentially for years”
“Analyses (the video) locally on the chip… it’s not streaming it off into the cloud for analysis”
“It’s power efficient to only stream that content when there’s something meaningful to be seen”

Edge Impulse on LinkedIn: Katana - a new super low-power Edge A.I device with huge capabilities

"[Synaptics Incorporated's] Katana looks very powerful, and it's something we'd love to get our hands on to try out. It's also supported by Edge Impulse…

www.linkedin.com

 

[Fact Finder]

I found this article interesting and talks about the market depth for our partnership with prophesee and MagikEye (not directly).

There is also a big list at the bottom of a multitude of fields Brainchip could be included in.

Enjoy

Smart Machine Vision Comes to the Edge, With Close to 200 Million Cameras to be Deployed by 2027​

Smart machine vision is on the job in factories, warehouses, and shipping centers, and ripe for development in smart cities, smart healthcare, and smart transportation

22 Dec 2022
Machine Vision (MV) uses technology that enables industrial machines to “see” and analyze tasks and make rapid decisions based on what the system sees. MV is fast becoming one of the most central technologies in automation. Given that now this technology is merging with Machine Learning (ML) to lead the transition to Industry 4.0, the possibilities are enormous, especially at the edge. According to global technology intelligence firm ABI Research, forecasts that by 2027, total shipments of camera systems will reach 197 million, with revenue of US$35 billion.

“The shift from machines that can automate simple tasks to autonomous machines that can “see” to optimize elements for extended periods will drive new levels of industrial innovation. This is the innovation that ML offers to MV (also often known as computer vision). ML can augment classic machine vision algorithms by employing the range and reach of neural network models, thus expanding machine vision far beyond visual inspection and quality control, the locus classicus of good, old-fashioned computer vision,” explains David Lobina, Artificial Intelligence and Machine Learning Analyst at ABI Research.
Of all the trends in the ML market, at the edge of computing has the most exciting applications and benefits – namely, in those devices that are part of embedded systems and the Internet of Things.

Smart manufacturing is perhaps the most straightforward case, where smart cameras, embedded sensors, and powerful computers can bring ML analyses to every process step. Smart machine vision is on the job in factories, warehouses, and shipping centers, aiding and assisting human workers by handling the more mundane tasks, freeing workers to use their expertise to focus on the essential parts.

The market is also ripe for development in smart cities, smart healthcare, and smart transportation, with ATOS (in cities), Arcturus(in healthcare), and Netradyne (in transportation) as some of the key vendors in these sectors.

As in other cases of edge ML applications, the best way for the technology to advance is through a combination of hardware and software solutions and employing information-rich data. It is through a holistic approach of how all these factors can merge and combine that will achieve fruitful results. Vendors are aware that they need to provide a competitive product. In cases involving sensitive or private data, such as healthcare, a whole package should provide hardware (cameras, chips, etc.), software, and an excellent way to analyze the data. The “whole package” approach is perhaps not the most common example in the market. Still, vendors must be increasingly aware of how their offerings can mesh with other solutions, often requiring hardware-agnostic software and software-agnostic data analysis. “This is a crucial point in the case of smart cities, healthcare, and transportation, especially regarding what machine vision can achieve in all these settings. For edge MV, software and hardware vendors, as well as service providers, will start taking an expansive view of the sector,” Lobina concludes.
These findings are from ABI Research’s Edge ML-Based Machine Vision Software and Services application analysis report. This report is part of the company’s Artificial Intelligence and Machine Learning research service, which includes research, data, and ABI Insights. Based on extensive primary interviews, Application Analysis reports present an in-depth analysis of key market trends and factors for a specific technology.
About ABI Research
ABI Research is a global technology intelligence firm delivering actionable research and strategic guidance to technology leaders, innovators, and decision makers around the world. Our research focuses on the transformative technologies that are dramatically reshaping industries, economies, and workforces today.
ABI Research提供开创性的研究和战略指导，帮助客户了解日新月异的技术。 自1990年以来，我们已与全球数百个领先的技术品牌，尖端公司，具有远见的政府机构以及创新的贸易团体建立了合作关系。 我们帮助客户创造真实的业务成果。
For more information about ABI Research’s services, contact us at +1.516.624.2500 in the Americas, +44.203.326.0140 in Europe, +65.6592.0290 in Asia-Pacific, or visit www.abiresearch.com.

Contact ABI Research​

Media Contacts​

Americas: +1.516.624.2542
Europe: +44.(0).203.326.0142
Asia: +65 6950.5670

Related Research​

Edge ML-Based Machine Vision Software and Services​

Research Report | 4Q 2022 | AN-4957

Related Service​

AI & Machine Learning​

RESEARCH SERVICES

5G​

5G Core & Edge Networks

5G Devices, Smartphones & Wearables

5G Markets

5G & Mobile Network Infrastructure

CYBER & DIGITAL SECURITY​

Citizen Digital Identity

Cybersecurity Applications

Digital Payment Technologies

Industrial Cybersecurity

IoT Cybersecurity

Telco Cybersecurity

Trusted Device Solutions

INDUSTRIAL & MANUFACTURING​

Industrial, Collaborative & Commercial Robotics

Industrial & Manufacturing Markets

Industrial & Manufacturing Technologies

IOT​

IoT Hardware & Devices

IoT Markets

IoT Networks & Services

---

AI & Machine Learning

Augmented & Virtual Reality

Consumer Technologies

Distributed & Edge Computing

Location Technologies

Metaverse Markets & Technologies

Satellite Communications

Smart Homes & Buildings

Smart Mobility & Automotive

Smart Urban Infrastructure

Supply Chain Management & Logistics

Sustainable Technologies

Wi-Fi, Bluetooth & Wireless Connectivity

Edge Impulse on LinkedIn: Smart Machine Vision Comes to the Edge, With Close to 200 Million Cameras…

Smart machine vision is on the job in factories, warehouses, and shipping centers, and ripe for development in smart cities, healthcare, and transportation…

www.linkedin.com

200 million cameras at $10.00 each is a 2 billion dollar market but highly likely much larger as some cameras will be much more expensive but just one percent of a 2 billion dollar market is 20 million dollars.

Because some here are new to why I keep bringing up one percent a little bit of history.

Back at the HC cesspit a couple of the more intelligent worms attacked the idea that Brainchip would capture one hundred percent of the market faced with competition from the tech giants Nvidia, Intel, Samsung, Qualcomm, Google and Apple.

I approached this argument from the perspective that the Edge market both existing and still to be thought of was so huge that even capturing a tiny little one percent of that market was hugely rewarding for Brainchip with a profit margin of 97%.

I took this argument then to another level by issuing a challenge which was to put a compelling argument as to why Brainchip with the first commercial neuromorphic chip and IP in the market and a three year lead over its nearest competitor would not capture one percent of the addressable market.

Strangely no one ever took up this challenge.

Now one further point to consider and which I add to my one percent argument.

Development Time Lines:

We have seen from Sony and Prophesee, Brainchip and Renesas, Brainchip and Socionext that it takes approximately 3 years to develop a product from the point of technology adoption.

So consider this Brainchip stands with a three year technology lead soon to become five years with AKIDA 2.0.

If a company wants to implement a neuromorphic solution today it will be three years before they can buy an alternative solution to AKIDA and then a further three years to develop the desired product.

What this means is that failure to take up an AKIDA solution today by a company will mean a potential delay of six years or more until they can bring their product idea to market.

A company in the technology space that waits six years to capitalise on a product idea will most likely have badly missed the boat.

So while I use the one percent argument I personally like many here have much higher expectations than one tiny percent of the addressable market.

Indeed realistically if you consider Renesas, Socionext, MegaChips and Prophesee as standalone engagements I believe it is reasonable to argue they have secured for Brainchip already a percentage of market share over the next year or so far greater than one percent.

I will leave it to others to ponder the percentage points Edge Impulse, ARM and Intel will add to this secured percentage over the same time frame before Mercedes Benz, Valeo and Ford start to contribute in 2024.

It all comes together to make having a plan for ‘when not if’ compulsory.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Deleted member 118]

 

[Evermont]

Merry Christmas to TSE and everyone at BrainChip.

Thanks for the great contributions this year, tipping we will have double the pages to scroll through next year.

Looking forward to the many insights CES may have to offer.

Be safe and hope you all get a bit of a break over the next week or so.

Cheers.

 

[Gemmax]

Well, Xmas Eve upon us again.
Merry Xmas and all the best.
Things are getting interesting chippers.
Good health to all and perhaps a bit of a boost to the share price.
Thanks to all for your tireless efforts and contributions.
But the manipulators can GGF!

 

[Realinfo]

Don’t ya just luv a little pillow talk?

It is perhaps debatable if the following comes under the banner of Beneficial AI, but it’s my attempt at combining dot joining and a touch of ‘fly on the wall’…

While most of the public attention has been on Australia’s intention to acquire eight nuclear powered subs, the AUKUS security partnership is much more. The US, UK and Oz are also collaborating on advanced technologies like hypersonic weapons, undersea intelligence, surveillance and reconnaissance capabilities, to name but a few areas of interest. Other countries are likely to be invited to join the party.

According to my mates in Russell, AI will be front and centre in the development of these advanced technologies…the project is known as PILLAR 2.

Merry Christmas everybody…me myself personally will ‘be seeing my dad, my brother and sister, my gran and my mum…we’ll be drinking white wine in the sun’

 

[Fact Finder]

Great catch @Rocket77

Must Listen.

A commercial Loihi chip may be years away.

Loihi challenge is to develop a simpler way to program Loihi 1 & 2 that is not painful and requires you to have a PhD.

On top of this in a private communication between myself Tony Dawe and Peter van der Made stated that Loihi 2 runs at 1.5 to 3 watts and AKIDA 1.0 runs at uW’s to mW’s.

Six to eight years if you want to use Loihi 2 in your tech product. Sounds like the way to tech obscurity.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Tothemoon24]

Wishing all holders a very Merry Chipmas

It’s truely an outstanding forum , one that certainly keeps me in a very calm & confident head space with my investment in Brainchip .

The achievements this year of the mighty chip in my view have been outstanding, particularly the partnerships formed with Arm & intel recently has in my viewed cemented the future of the company & confirmed to me it’s a future Blue Chip certainly.

Perhaps the performance of our CEO has been a little overlooked with all that’s been happening.
From an outside view , this guy has rolled up the sleeves & given the company a direct path to what he views successful commercialisation.

He’s identified the need for key personnel & gone out and successfully employed industry leaders , this to me is the mark of a very driven & respected man .

Merry Christmas

 

[Esq.111]

Don’t ya just luv a little pillow talk?

It is perhaps debatable if the following comes under the banner of Beneficial AI, but it’s my attempt at combining dot joining and a touch of ‘fly on the wall’…

While most of the public attention has been on Australia’s intention to acquire eight nuclear powered subs, the AUKUS security partnership is much more. The US, UK and Oz are also collaborating on advanced technologies like hypersonic weapons, undersea intelligence, surveillance and reconnaissance capabilities, to name but a few areas of interest. Other countries are likely to be invited to join the party.

According to my mates in Russell, AI will be front and centre in the development of these advanced technologies…the project is known as PILLAR 2.

Merry Christmas everybody…me myself personally will ‘be seeing my dad, my brother and sister, my gran and my mum…we’ll be drinking white wine in the sun’

Morning Realinfo & fellow Chippers ,

Nothing specific on Brainchip in the paper today.

Interesting article on Australia's Land , Sea & Air roadmap ahead.

Regards,
Esq.

 

[Murphy]

Don’t ya just luv a little pillow talk?

It is perhaps debatable if the following comes under the banner of Beneficial AI, but it’s my attempt at combining dot joining and a touch of ‘fly on the wall’…

While most of the public attention has been on Australia’s intention to acquire eight nuclear powered subs, the AUKUS security partnership is much more. The US, UK and Oz are also collaborating on advanced technologies like hypersonic weapons, undersea intelligence, surveillance and reconnaissance capabilities, to name but a few areas of interest. Other countries are likely to be invited to join the party.

According to my mates in Russell, AI will be front and centre in the development of these advanced technologies…the project is known as PILLAR 2.

Merry Christmas everybody…me myself personally will ‘be seeing my dad, my brother and sister, my gran and my mum…we’ll be drinking white wine in the sun’

White Wine in the Sun by Tim Minchin would have to be my all-time favorite Christmas tune. Thanks for the reminder!
Thanks everyone, for your contributions to this sanctuary site. I know what I don't know so I need this intelligent input and logical analysis to sustain me through these more difficult times and empower me to hold tight til the upcoming payday. Tis a story I will regale my children and grandchildren with! Have a great Christmas and a safe and prosperous 2023 my fellow Chipsters.

If you don't have dreams, you can't have dreams come true!

 

[Diogenese]

Great catch @Rocket77

Must Listen.

A commercial Loihi chip may be years away.

Loihi challenge is to develop a simpler way to program Loihi 1 & 2 that is not painful and requires you to have a PhD.

On top of this in a private communication between myself Tony Dawe and Peter van der Made stated that Loihi 2 runs at 1.5 to 3 watts and AKIDA 1.0 runs at uW’s to mW’s.

Six to eight years if you want to use Loihi 2 in your tech product. Sounds like the way to tech obscurity.

My opinion only DYOR
FF

AKIDA BALLISTA

As I said before, we owe Intel a debt of gratitude for the red herring of Loihi which has diverted potential competitors of Akida up a blind alley.

 

[Xray1]

The good thing is after the whole video she talks about brainchip in the end. I would think Mike davies would have seen the whole video before it was published considering his position, he would like to know what is going to be published . He let her mention brainchip akida in the end. Seems like hmmmmm.

I have notice in the last few days on Sydney Commercial TV, that DELL and INTEL are promoting each other in a joint commercial ........... Seems IMO as though Intel wants to improve their net working / associations of late.

 

[VictorG]

As I said before, we owe Intel a debt of gratitude for the red herring of Loihi which has diverted potential competitors of Akida up a blind alley.

My nomination for TSEx Hall Of Fame 2022

 

[wilzy123]

Elon was live on twitter a few hours ago answering questions from listeners. People got to switch on their mics and speak to him. I logged on just as he mentioned energy efficiency and battery life. I clicked immediately to ask a question and braced myself, practicing what I was going to say about neuromorphic technology and whether he thought spiking neural networks would improve the performance of Tesla vehicles, but he stopped taking questions before they got to me.
I don’t know if I was devastated or relieved because I just about wet myself with nerves.
Anyway, just wanted to let you know that I could’ve had the answer to your question but instead I have a story about a missed opportunity of a lifetime

 

[charles2]

Wow, wow. wwwwow.

After listening to this EEJournal interview one doesn't need a PhD in neuromorphic inferencing to appreciate that Brainchip/Akida is light years ahead of Intel/Loihi for commercial implementation of neuromorphic whatever. I'm in a state of gobsmackery.......That is my favorite Australian state.

Curious to know how Intel handles their new formal relationship with Brainchip. Do they tout 'rival' technology. It will only bring more focus on how far behind they are. Do they buy Brainchip for what would have to be an outrageous sum....and fold on their Loihi aspirations. Do they suppress Akida's wonderfulness. What gives?

You can see that I am struggling mightily with this.

Help me find the roadmap.....to peace and prosperity and understanding

On a personal note.....leaving Waiheke Island tomorrow (it has been fabuloso)....for my home .. Mexico.

Feliz Navidad a todos y hasta pronto

TBC

 

[Boab]

Wow, wow. wwwwow.

After listening to this EEJournal interview one doesn't need a PhD in neuromorphic inferencing to appreciate that Brainchip/Akida is light years ahead of Intel/Loihi for commercial implementation of neuromorphic whatever. I'm in a state of gobsmackery.......That is my favorite Australian state.

Curious to know how Intel handles their new formal relationship with Brainchip. Do they tout 'rival' technology. It will only bring more focus on how far behind they are. Do they buy Brainchip for what would have to be an outrageous sum....and fold on their Loihi aspirations. Do they suppress Akida's wonderfulness. What gives?

You can see that I am struggling mightily with this.

Help me find the roadmap.....to peace and prosperity and understanding

On a personal note.....leaving Waiheke Island tomorrow (it has been fabuloso)....for my home .. Mexico.

Feliz Navidad a todos y hasta pronto

TBC

You may be in a state of Gobsmackery but I think all the LTH'ers will soon be in a state of Peacockery.
I am not one to show off but I may allow my chest to puff out slightly and shake my tail feathers.

Regards and safe journey.
Boab

 

[Fact Finder]

Wow, wow. wwwwow.

After listening to this EEJournal interview one doesn't need a PhD in neuromorphic inferencing to appreciate that Brainchip/Akida is light years ahead of Intel/Loihi for commercial implementation of neuromorphic whatever. I'm in a state of gobsmackery.......That is my favorite Australian state.

Curious to know how Intel handles their new formal relationship with Brainchip. Do they tout 'rival' technology. It will only bring more focus on how far behind they are. Do they buy Brainchip for what would have to be an outrageous sum....and fold on their Loihi aspirations. Do they suppress Akida's wonderfulness. What gives?

You can see that I am struggling mightily with this.

Help me find the roadmap.....to peace and prosperity and understanding

On a personal note.....leaving Waiheke Island tomorrow (it has been fabuloso)....for my home .. Mexico.

Feliz Navidad a todos y hasta pronto

TBC

It will in my opinion be impossible for Intel to suppress "AKIDA's wonderfulness" given that they do not have an exclusive relationship.

If they tried to downplay its applications any semiconductor customer would clearly ask the question "Well if that's the case why does ARM promote the use of AKIDA across virtually every use case you can possibly imagine???"

They may even ask "Well why does Edge Impulse say that it outcompetes a GPU running at 900 gigahertz."

They may even ask "Why does Mercedes Benz use it for voice and claim that it is up to 10 times more efficient than competitor solutions???"

They may even ask "If it is like you say why do Valeo and NASA trust them???"

They may even ask "Why is MegaChips so heavily promoting Brainchip and its AKIDA solution???"

They may even ask "Why is Prophesee partnering with them for event based sensors???"

They may even ask "Why is Renesas taping out an intelligent AKIDA powered MCU for automotive???

They may even ask "Why has Socionext launched a new AKIDA powered semiconductor range???

Personally how Intel handles the problem is irrelevant the fact that they have brought Brainchip and AKIDA technology into the fold clearly indicates they understand that this was essential if they are to remain relevant in the neuromorphic chip space.

While Mike Davies is trying to talk the talk Brainchip and AKIDA are actually walking the walk and as I said earlier increasing the technology lead they have with every single step.

Loihi 1 & 2 with the release of the Renesas AKIDA MCU falls six years behind. Three years of technology lead plus three years of product development.

Loihi 1 & 2 with the release of the Socionext AKIDA offering falls six years behind. Three years of technology lead plus three years of product development.

Loihi 1 & 2 with the Mercedes Benz and Valeo AKIDA powered product offerings in 2024 falls six years behind. Two years of technology lead plus four years of product development. Product development could be even longer as we have some uncertainty around the exact date they became involved with Brainchip.

Whether they are speaking about it openly or not Blind Freddie is of the opinion that if he knows these obvious facts that Intel must know and have a very large file of documents in which they have debated their present course of action leading to the obvious conclusion that we cannot beat them so we just have to join them or go the way of Kodak where neuromorphic computing is concerned.

Have a very Merry Christmas back in Mexico.

My opinion only DYOR
FF

AKIDA BALLISTA