BRN Discussion Ongoing

[Proga]

Yeah they had agreement back in 2010 for the initial platform & licencing. Don't know if still working with them but only a quick glance so far.

Saw some staff there worked with Valeo previously.

Valeo Leads Deployment And Industrialization Of Automotive LiDAR

The business of LiDAR is poised to transition from hype, speculation and technology roadmaps into products, revenues and execution. A critical success factor is the ability to meet the demanding requirements of automotive deployment. Valeo is leading this effort.

www.forbes.com

View attachment 9414

A great example @Fullmoonfever at how long companies have been working on trying to perfect ADAS.

 

[Taproot]

Yes ZF took a 40% stake in Ibeo.
This is the future of Lidar
Ibeo's 4D Solid State Lidar sensor system.

All Products

MicroVision offers a family of automotive lidar sensors and solutions for advanced driver-assistance systems (ADAS), autonomous vehicles, and non-automotive applications, including industrial, smart infrastructure, and robotics.

www.ibeo-as.com

Based solely on a semiconductor solution
No moving parts
Size of a credit card

 

[Pandaxxx]

There is really only one way atm, the 1000 eyes can continue to investigate and provide very much appreciated dots in every facet of existing and nascent technology in all the fields of electronics.. it doesn’t matter though, all roads will eventually lead to Akida - what other technology currently exists that could make performance improvements like this
“Our third-generation Valeo SCALA LiDAR offers a resolution nearly 50 times that of the second-generation device.” A 5000% improvement when other ‘latest’ technologies are claiming the sorts of 10-30% improvements.

Evening all. Like all of us, I’m really hoping Scala 3 is Akida!! But if it’s not, who could it be? There’s us, then daylight, right??

Panda

 

[cosors]

I can't find StradVision here yet. In 2019, they have established a collaboration. Unfortunately, I don't have time right now to check if Akida plays a role in StradVision. Maybe the 1000 eyes can take a look?

"Renesas, StradVision team on smart cameras for next-gen ADAS​

By Spencer ChinSep 26, 2019 08:02pm
Semiconductor supplier Renesas Electronics Corporation has announced an agreement with StradVision, Inc., a vision processing technology solutions provider, to jointly develop a deep learning-based object recognition solution for smart cameras used in next-generation advanced driver assistance system (ADAS) applications and cameras for ADAS Level 2 and above autonomous vehicles.


StradVision’s deep learning–based object recognition software has been optimized for Renesas R-Car automotive system-on-chip (SoC) products R-Car V3H and R-Car V3M, which have an established track record in mass-produced vehicles. These R-Car devices incorporate a dedicated engine for deep learning processing called CNN-IP (Convolution Neural Network Intellectual Property), enabling them to run StradVision’s SVNet automotive deep learning network at high speed with minimal power consumption. The object recognition solution realizes deep learning–based object recognition while maintaining low power consumption, suiting it for mass-produced vehicles and encouraging ADAS adoption.

StradVision’s SVNet deep learning software is highly regarded for its recognition precision in low-light environments and its ability to deal with occlusion when objects are partially hidden by other objects. The basic software package for the R-Car V3H performs simultaneous vehicles, person and lane recognition, processing the image data at a rate of 25 frames per second, enabling swift evaluation and POC development. Using these capabilities as a basis, developers can customize the software with the addition of signs, markings and other objects as recognition targets.


In addition to the CNN-IP dedicated deep learning module, the Renesas R-Car V3H and R-Car V3M feature the IMP-X5 image recognition engine. Combining deep learning-based complex object recognition and highly verifiable image recognition processing with man-made rules allows designers to build a robust system. In addition, the on-chip image signal processor (ISP) is designed to convert sensor signals for image rendering and recognition processing, making it possible to configure a system using inexpensive cameras without built-in ISPs, reducing the overall bill-of-materials (BOM) cost."
https://www.fierceelectronics.com/e...advision-team-smart-cameras-for-next-gen-adas
https://stradvision.com/

added:
2020

StradVision to collaborate with leading custom SoC supplier Socionext to provide efficient ADAS solutions​

"StradVision's software is being deployed on 9 million vehicles worldwide and is serviced by their over 120 employees in Seoul, San Jose, Tokyo, and Munich. The company received the 2020 Autonomous Vehicle Technology ACES Award in Autonomy (Software Category)."

 

[Rise from the ashes]

Yes ZF took a 40% stake in Ibeo.
This is the future of Lidar
Ibeo's 4D Solid State Lidar sensor system.

All Products

MicroVision offers a family of automotive lidar sensors and solutions for advanced driver-assistance systems (ADAS), autonomous vehicles, and non-automotive applications, including industrial, smart infrastructure, and robotics.

www.ibeo-as.com

Based solely on a semiconductor solution
No moving parts
Size of a credit card

Wideye selected to supply key protective optical components for the “ibeoNEXT” | AGC Glass Europe

Wideye® by AGC is very proud to announce it has been officially selected by Ibeo Automotive Systems GmbH to supply key protective optical components for the production of the “ibeoNEXT” LiDAR system. The “ibeoNEXT” has two variants, a 60° field of view for short range applications and a 11.2°...

www.agc-glass.eu

 

[Mws]

Just in case you were wondering this is one persons take on what this all means:

An existential theory of truth
Dale Cannon
Western Oregon State College, USA

Abstract
This article is an attempt to present a simplified account of the theory of truth expressed in the writings of certain existentialist writers - namely, Kierkegaard, Heidegger, Jaspers, and Marcel. It is designed to serve as a supplement to conventional textbook treatments of the nature of truth, which typically ignore the contributions that existentialists have made to the topic. An existential theory of truth stresses the epistemological (not ontological) indeterminateness of meaning and truth, apart from one’s personal participation in determining them. Contrary to superficial interpretations, this theory does not do away either with a transcendent reality or with objectivity. What is rejected is anything that would circumvent the necessary task of participating, oneself, in the epistemological determination of truth.

So now you know.

Regards
FF

AKIDA BALLISTA

Ok

 

[cosors]

Ooh Anastasia, you had me at grey matter ….

 

[Rise from the ashes]

View attachment 9432

That voice would give me nightmares.

 

[Fact Finder]

Video: The Future of Manufacturing is Neural​

SPONSORED​

danataggart​

---

10th November 2021
The future of manufacturing is neural.

TCS’ Neural Manufacturing thought leadership framework helps manufacturers become future-ready by building connected, cognitive, and collaborative ecosystems. With value-adding capabilities such as cognition, self-healing, and autonomous decision making, manufacturing businesses can become intelligent, resilient, adaptive, and purpose driven.

With neural manufacturing, your company can adapt to the future and build value-chains with an intelligent edge.

Watch and Learn:

• What neural manufacturing means
• How neural manufacturing prepares companies for the future of manufacturing
• How to prepare for the future by using connected, cognitive, and collaborative ecosystems

Brought to you by:

 

[cosors]

That voice would give me nightmares.

Why, why did you have to make me press play?!

 

[Fact Finder]

Video: The Future of Manufacturing is Neural​

SPONSORED​

danataggart​

---

10th November 2021
The future of manufacturing is neural.

TCS’ Neural Manufacturing thought leadership framework helps manufacturers become future-ready by building connected, cognitive, and collaborative ecosystems. With value-adding capabilities such as cognition, self-healing, and autonomous decision making, manufacturing businesses can become intelligent, resilient, adaptive, and purpose driven.

With neural manufacturing, your company can adapt to the future and build value-chains with an intelligent edge.

Watch and Learn:

• What neural manufacturing means
• How neural manufacturing prepares companies for the future of manufacturing
• How to prepare for the future by using connected, cognitive, and collaborative ecosystems

Brought to you by:

TCS AutoscapeTM – A Neural Automotive solution for Autonomous Vehicles​

SPONSORED​

---

5th November 2021
In their endeavor to shape the future of mobility, global car manufacturers are racing to develop SAE Level 5 autonomous vehicles (AV). To develop fully autonomous vehicles, manufacturers must efficiently manage myriad technology and business challenges.

Facilitating the development of AVs is the TCS Autoscape which uses leading-edge technologies such as Artificial Intelligence (AI) and Machine Learning (ML) to transform the car into an agile, customer-centric product, and improve the productivity and quality of vehicle data management services.

What’s Inside:

• Leading domain and technology expertise
• Industry partnership and alliance
• Comprehensive Autonomous Vehicle portfolio

Brought to you by:

 

[mcm]

Some honey for you in the form of confidence in these hard days. It seems especially the Germans like Brainchip.
I notice that the order has changed and Brainchip now comes first before Infineon and Co.

"15.06.2022 | 05:58

SAP, BRAINCHIP HOLDINGS, INFINEON - CHIP STOCKS AHEAD OF THE NEXT WAVE!​

The current interest rate decision is casting its shadow, and market participants are unsettled by the horrendously rising inflation rates. In the fight against inflation, the U.S. Federal Reserve is likely to further reduce its balance sheet and introduce more aggressive interest rate cuts. However, there is then a risk of significantly weakening the economy. This would seriously worsen the macroeconomic picture and significantly increase the risk of the USA sliding into recession. The biggest losers from a major interest rate hike are likely to remain interest rate-sensitive growth stocks. However, such a scenario is already priced in for many stocks.

BRAINCHIP HOLDINGS - ANOTHER EXCLAMATION MARK
With some stocks, one is glad when a stronger correction takes place. Especially if you missed the first upward move. The performance of the Australian growth company BrainChip is symptomatic of this. After a price rally from the equivalent of around EUR 0.30 to EUR 1.75 at the high, the share price corrected by around 70%. One share of the developer of the highly innovative Akida chip currently costs the equivalent of 0.57 EUR.

Fundamentally, the IP company keeps putting exclamation points confirming the quality of the Akida chip. The inclusion in the AI partner program of the global semiconductor giant ARM underpins this once again. The U.K.-based company's partner program is an ecosystem of hardware and software specialists designed to enable developers to build the next generation of AI solutions, according to a statement. Mohamed Awad, vice president of IoT and embedded at ARM, made the following comments: "As part of ARM's AI Partner Program, BrainChip will enable developers to address the need for high-performance and ultra-low-power edge AI inference, enabling new innovation opportunities."

The "Akida" neuromorphic processor could become the new standard for the semiconductor industry. The advantages are that it is very low-power, high-performance, and promotes the growth of edge AI technology by using a neuromorphic architecture, a type of artificial intelligence inspired by the biology of the human brain.

The most efficient solution ever produced - if you listen to the opinions of experts - learns on its own and is predestined for future topics such as the Internet of Things, autonomous driving or robotics. Should commercial production continue and Akida conquer the mass market, the current market capitalization of the equivalent of EUR 1 billion is unlikely to last much longer.
..."
https://www.inv3st.de/kommentare/sap-brainchip-holdings-infineon-chip-aktien-vor-der-nachsten-welle

Definitely honey … thanks so much for posting! Sellers at the current price simply have no idea what they are doing …. Especially the shorters who will suffer massive pain when an announcement suddenly appears one morning. For mum and dad investors selling out of fear … really do some extra research because that is the way to lose money. BrainChip will generate revenue and make some eye watering announcements in the second half of this year. Hold tight amigos!

 

[cosors]

I can't find StradVision here yet. In 2019, they have established a collaboration. Unfortunately, I don't have time right now to check if Akida plays a role in StradVision. Maybe the 1000 eyes can take a look?

"Renesas, StradVision team on smart cameras for next-gen ADAS​

By Spencer ChinSep 26, 2019 08:02pm
Semiconductor supplier Renesas Electronics Corporation has announced an agreement with StradVision, Inc., a vision processing technology solutions provider, to jointly develop a deep learning-based object recognition solution for smart cameras used in next-generation advanced driver assistance system (ADAS) applications and cameras for ADAS Level 2 and above autonomous vehicles.


StradVision’s deep learning–based object recognition software has been optimized for Renesas R-Car automotive system-on-chip (SoC) products R-Car V3H and R-Car V3M, which have an established track record in mass-produced vehicles. These R-Car devices incorporate a dedicated engine for deep learning processing called CNN-IP (Convolution Neural Network Intellectual Property), enabling them to run StradVision’s SVNet automotive deep learning network at high speed with minimal power consumption. The object recognition solution realizes deep learning–based object recognition while maintaining low power consumption, suiting it for mass-produced vehicles and encouraging ADAS adoption.

StradVision’s SVNet deep learning software is highly regarded for its recognition precision in low-light environments and its ability to deal with occlusion when objects are partially hidden by other objects. The basic software package for the R-Car V3H performs simultaneous vehicles, person and lane recognition, processing the image data at a rate of 25 frames per second, enabling swift evaluation and POC development. Using these capabilities as a basis, developers can customize the software with the addition of signs, markings and other objects as recognition targets.


In addition to the CNN-IP dedicated deep learning module, the Renesas R-Car V3H and R-Car V3M feature the IMP-X5 image recognition engine. Combining deep learning-based complex object recognition and highly verifiable image recognition processing with man-made rules allows designers to build a robust system. In addition, the on-chip image signal processor (ISP) is designed to convert sensor signals for image rendering and recognition processing, making it possible to configure a system using inexpensive cameras without built-in ISPs, reducing the overall bill-of-materials (BOM) cost."
https://www.fierceelectronics.com/e...advision-team-smart-cameras-for-next-gen-adas
https://stradvision.com/

added:
2020

StradVision to collaborate with leading custom SoC supplier Socionext to provide efficient ADAS solutions​

"StradVision's software is being deployed on 9 million vehicles worldwide and is serviced by their over 120 employees in Seoul, San Jose, Tokyo, and Munich. The company received the 2020 Autonomous Vehicle Technology ACES Award in Autonomy (Software Category)."

What I forgot to mention, I stay on the ball after FF hint at ZF, so I only came across it because of researching ZF, not Renesas.

StradVision and ZF Partner to Accelerate The Future of Automated Driving Perception Technology​

For me ZF is a tough nut. Currently they are working with Nvidia and there is very little insight into their R&D regarding neuromorphic computing. More specific to the topic: In an old article, an employee notes that safety electronics or systems regarding autonomous driving cannot be retrofitted. ZF presents a lot, but real insights are rare, NC is not an open topic, therefore only passive to find out something. General statements like "the chip is the new gear" etc.

 

[Rise from the ashes]

WARNING TAD OVER 330 PAGES
But very interesting read. Sounds like a lot but it's not. 5.6 mb
https://ec.europa.eu/info/sites/inf...td_radical-innovation-breakthrough_052019.pdf

 

[Proga]

I can't find StradVision here yet. In 2019, they have established a collaboration. Unfortunately, I don't have time right now to check if Akida plays a role in StradVision. Maybe the 1000 eyes can take a look?

"Renesas, StradVision team on smart cameras for next-gen ADAS​

By Spencer ChinSep 26, 2019 08:02pm
Semiconductor supplier Renesas Electronics Corporation has announced an agreement with StradVision, Inc., a vision processing technology solutions provider, to jointly develop a deep learning-based object recognition solution for smart cameras used in next-generation advanced driver assistance system (ADAS) applications and cameras for ADAS Level 2 and above autonomous vehicles.


StradVision’s deep learning–based object recognition software has been optimized for Renesas R-Car automotive system-on-chip (SoC) products R-Car V3H and R-Car V3M, which have an established track record in mass-produced vehicles. These R-Car devices incorporate a dedicated engine for deep learning processing called CNN-IP (Convolution Neural Network Intellectual Property), enabling them to run StradVision’s SVNet automotive deep learning network at high speed with minimal power consumption. The object recognition solution realizes deep learning–based object recognition while maintaining low power consumption, suiting it for mass-produced vehicles and encouraging ADAS adoption.

StradVision’s SVNet deep learning software is highly regarded for its recognition precision in low-light environments and its ability to deal with occlusion when objects are partially hidden by other objects. The basic software package for the R-Car V3H performs simultaneous vehicles, person and lane recognition, processing the image data at a rate of 25 frames per second, enabling swift evaluation and POC development. Using these capabilities as a basis, developers can customize the software with the addition of signs, markings and other objects as recognition targets.


In addition to the CNN-IP dedicated deep learning module, the Renesas R-Car V3H and R-Car V3M feature the IMP-X5 image recognition engine. Combining deep learning-based complex object recognition and highly verifiable image recognition processing with man-made rules allows designers to build a robust system. In addition, the on-chip image signal processor (ISP) is designed to convert sensor signals for image rendering and recognition processing, making it possible to configure a system using inexpensive cameras without built-in ISPs, reducing the overall bill-of-materials (BOM) cost."
https://www.fierceelectronics.com/e...advision-team-smart-cameras-for-next-gen-adas
https://stradvision.com/

added:
2020

StradVision to collaborate with leading custom SoC supplier Socionext to provide efficient ADAS solutions​

"StradVision's software is being deployed on 9 million vehicles worldwide and is serviced by their over 120 employees in Seoul, San Jose, Tokyo, and Munich. The company received the 2020 Autonomous Vehicle Technology ACES Award in Autonomy (Software Category)."

Hi Cosors,

They're using a CNN-IP dedicated deep learning module for their cameras not SNN so I don't think they're using Akida. It looks like they are targeting cheaper models (niche market) not looking to go fully autonomous or past ADAS Level 3. Very basic hands off stuff and auto parking at this stage.

 

[JK200SX]

Ooh Anastasia, you had me at grey matter ….

She scares me in some sort of weird way!

 

[cosors]

Hi Cosors,

They're using a CNN-IP dedicated deep learning module for their cameras not SNN so I don't think they're using Akida. It looks like they are targeting cheaper models (niche market) not looking to go fully autonomous or past ADAS Level 3. Very basic hands off stuff and auto parking at this stage.

My thought exactly... But the R&D department at ZF does not stand still and it is almost impossible for me to find out anything. The info above was meant by me rather in the direction of competitors, even if they themselves write only software. Thanks for the hint! That's exactly what I meant with the request to the 1000 eyes. The articles are 2-3 years old and the development is crazy fast. I'm on the road and there is no fun in the research.

 

[BaconLover]

She scares me in some sort of weird way!

I usually watch her videos on mute

 

[cosors]

Hey all!

I've been working on a small project - hopefully something useful for you all and for future investors of BRN. It's a small website that has a BRN timeline of important past and future events, and a few links etc. I made it so that we can have a quick reference of important BRN information and an easy way to introduce people to BRN.

https://akida.io/

Hopefully it's going to be useful. I have done my best to include as much as I can initially and will keep adding as new things come up.

A big thank you to TSE's "Founding Members" for their ideas and support and also to @Esq.111 for providing a list of upcoming events and @Fact Finder for allowing me to share his "The Brainchip Story".

I have made it on behalf of and for all of us shareholders and BRN supporters, so if there's anything you would like added or changed feel free to let me know!

Also a big Thank You to all of the 1000 eyes, your work is amazing and I love reading it all every day!

AKIDA BALLISTA

GR.

@zeeb0t Is it possible to integrate this timeline or page and additionally the ICEBERG picture from @BaconLover in the BRN thread so that it is always visible like the MUST READ thread? Maybe two integrated buttons?

 

[Bravo]

I usually watch her videos on mute

Makes sense. Extremely intelligent women can be very intimidating to men. At least that’s what I’ve been told on more than one occasion.