Townyj
Ermahgerd
Sheesh.. Renesas.. Brainchip @ CES. Some more solid exposure coming up. Excited to see if anything new is revealed.. *cough* Akida 2K plz.
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Sheesh.. Renesas.. Brainchip @ CES. Some more solid exposure coming up. Excited to see if anything new is revealed.. *cough* Akida 2K plz.
TechGirl
Founding Member
Proga
Regular
It's a bit confusing. BMW will be using Valeo's Domain Controller powered by Qualcomm Snapdragon SoCs. The ADAS domain controller will host Valeo’s software platform for low-speed maneuvering (sounds like Valeo's Valet Service), as well as software assets from BMW and Qualcomm for driving automation. BMW “Neue Klasse” will also feature the next generation of Valeo’s ultrasonic sensors, the full set of surround view cameras, as well as a new multifunctional interior camera that will contribute to improved safety and create a new level of user experience.” No LidarDid someone reconize this developement?
I found it in social media like twitter and so on.... and I read that BMW and valeo has relationchips even to quallcom.
Autobrains News - Autobrains Technologies
Autobrains Technologies News. Industry insights, news, and updates.autobrains.ai
Autobrains Announces $120 Million Series C Funding Bringing Self-Driving Into Full Autonomy, Solving the 'Impossible' 1% Error Margin
Autobrains, an AI-pioneer mobility company that develops revolutionary self-learning technology for advanced driving assisted systems and autonomous driving, today announced the final closing of Series C funding amounting to $120 million led by Temasek together with both existing partners...finance.yahoo.com
Autobrains Announces $101 Million Series C Funding Led by Temasek
/PRNewswire/ -- Autobrains, developer of first-of-its-kind self-learning artificial intelligence technology for assisted and autonomous driving, today...www.prnewswire.com
"New and current investors also participated in the round, including Knorr-Bremse AG, VinFast, BMW and long-term partner, Continental AG"
Valeo signs major contract with the BMW Group in advanced driving assistance systems
Valeo and the BMW Group have entered into a major collaboration for which Valeo will provide the ADAS domain controller, sensors and software for parking and maneuvering for BMW's upcoming platform generation "Neue Klasse"*, due to launch in 2025.www.valeo.com
google translator:
Welcher Autobauer hat beim autonomen Fahren die Nase vorn?
Die Autohersteller tasten sich technologisch an das vollautonome Fahrzeug heran. In unserem Überblick erfahren Sie den aktuellen Stand.www-automotiveit-eu.translate.goog
Sorry if mentioned before.....
Most of the sensors are Valeo's which will hopefully incorporate Akida IP. Controlling the volume of data from the sensors/cameras etc to the domain controller is the key so you don't overload it with useless data. Valeo said they will develop and produce the ADAS domain controller capable of managing all data flows from all ADAS sensors (does this include from SNN from their own sensors/cameras) in BMW Group vehicles based on the “Neue Klasse” platform. They seem to be making a point in emphasising all when they could have easily said - Valeo will develop and produce the ADAS domain controller capable of managing data flows from ADAS sensors
This was an interesting paragraph - "Equipped with some of the most powerful automotive processors in the market (not the most), the system being developed by Valeo, BMW Group and Qualcomm is able to obtain real-time mapping and understanding of the car’s surroundings as well as the interior of the vehicle. New features and upgrades will be added throughout the car’s lifecycle".
I think they are too far down the road in developing Snapdragon to go back and be ready by 2025 which seems to be the date every luxury producing automaker is trying to meet with their new science fiction vehicles. There is an almighty existential race going on with automakers new and old atm to grab EV market share as ICE vehicles in most western countries will soon be banned and they're also worried the dates could be moved forward depending on global warming.
Following on, there was an article in the Automotive News Europe on the 17th of March which said - BMW and Qualcomm have both said that automakers should not develop unique software systems that cannot be shared - I believe they are having a dig at Mercedes-Benz because they're behind the 8-ball. As we know MB are developing their own OS as well. BMW has backed the wrong horse and they know it. Sharing with other automakers sounds like trying to keep them at BMW's level and not surpass them with a superior ADAS like MB. Stellantis haven't fallen for it.
BMW, Qualcomm to offer autonomous-driving platform to third parties
After the platform is used in BMW vehicles, it will be offered to other automakers and suppliers.
Last edited:
Space Cadet
Regular
I'm also going to keep an eye on continental on media day Jan 4.How nice would it be sneaking a little space in the Vehicle Tech area given last year and these guys are again one of the featured
Vehicle Tech at CES 2023
The greatest innovators in automotive come to CES to show the world their creations.exhibit.ces.tech
CES 2023
VEHICLE TECH
FEATURED EXHIBITORS
View attachment 23918
https://conti-engineering.com/camera-sensors/
They do mention neural networks in their camera sensors for automotive.
One ould only hope.
SC
Proga
Regular
Yeah. I wonder if Braichip plan to do the big 2K reveal @ CES to gain maximum exposure.
Pretty good price action based on the extremely low volume, if you ask me. The glorious days you are referencing had 20, 30 or even 40 times yesterday's ASX volume, too. And don't even get me started on the (pathetic - my opinion only) OTC volumes in the USA.
Regards, Mr. Positive (smiley face)
Fullmoonfever
Top 20
Yeah, was checking them out earlier.
Appears Ambarella in as a minimum.
SafetyWissen
Yeah, was checking them out earlier.
Appears Ambarella in as a minimum.
SafetyWissen
www.safetywissen.com
View attachment 23934
Ambarella:
US2022147753A1 METHOD TO IMPROVE ACCURACY OF QUANTIZED MULTI-STAGE OBJECT DETECTION NETWORK
*
RCNN = region-based CNN
region proposal network (RPN)
directed acyclic graph (DAG) memory
The blocks 92 a - 92 n may implement hardware resources (or engines). The block 94 may implement a shared memory circuit. The block 98 may implement a directed acyclic graph (DAG) memory. In an example embodiment, one or more of the circuits 92 a - 92 n may comprise blocks (or circuits) 110 a - 110 n. In the example shown, circuits 110 a and 110 b are implemented.
[006] ... The memory may be configured to store image data of an input image. The processor may be configured to detect one or more objects in the input image using a quantized multi-stage object detection network, where quantization of the quantized multi-stage object detection network includes
(i) generating quantized image data by performing a first data range analysis on the image data of the input image,
(ii) generating a feature map and proposal bounding boxes by applying a region proposal network (RPN) to the quantized image data,
(iii) performing a region of interest pooling operation on the feature map and a plurality of ground truth boxes corresponding to the proposal bounding boxes generated by the RPN,
(iv) generating quantized region of interest pooling results by performing a second data range analysis on results from the region of interest pooling operation, and
(v) applying a region-based convolutional neural network (RCNN) to the quantized region of interest pooling results.
[0040] In an example embodiment, the circuit 110 a may implement convolution operations. In another example, the circuit 110 b may be configured to provide pooling operations. The circuit 110 b may be configured to provide ROI pooling operations in accordance with an example embodiment of the invention (e.g., using ground truth inputs as part of a quantization process). The convolution and pooling operations may be used to perform computer (or machine) vision tasks (e.g., as part of an object detection process, etc.). In yet another example, one or more of the circuits 92 c - 92 n may comprise blocks (or circuits) 110 c - 110 n (not shown) to provide convolution calculations in multiple dimensions.
RCNN applies CNN to selected regions of the field of view delineated by bounding boxes (BB), so the RPN first has to identify objects to draw the BBs around.
As they say, there's more than one way to skin a cat, but I don't think tweezers is one of them - that'll just pluck it.
Last edited:
One thing that manufacturers dabbling with Snapdragon 8 gen 2 will need to be wary of is the ARM/Qualcomm litigation. This could be the fly in the ointment if Qualcomm loses. This adds a little extra piquancy to the BMW/Qualcomm plea for sharing.It's a bit confusing. BMW will be using Valeo's Domain Controller powered by Qualcomm Snapdragon SoCs. The ADAS domain controller will host Valeo’s software platform for low-speed maneuvering (sounds like Valeo's Valet Service), as well as software assets from BMW and Qualcomm for driving automation. BMW “Neue Klasse” will also feature the next generation of Valeo’s ultrasonic sensors, the full set of surround view cameras, as well as a new multifunctional interior camera that will contribute to improved safety and create a new level of user experience.” No Lidar
Most of the sensors are Valeo's which will hopefully incorporate Akida IP. Controlling the volume of data from the sensors/cameras etc to the domain controller is the key so you don't overload it with useless data. Valeo said they will develop and produce the ADAS domain controller capable of managing all data flows from all ADAS sensors (does this include from SNN from their own sensors/cameras) in BMW Group vehicles based on the “Neue Klasse” platform. They seem to be making a point in emphasising all when they could have easily said - Valeo will develop and produce the ADAS domain controller capable of managing data flows from ADAS sensors
This was an interesting paragraph - "Equipped with some of the most powerful automotive processors in the market (not the most), the system being developed by Valeo, BMW Group and Qualcomm is able to obtain real-time mapping and understanding of the car’s surroundings as well as the interior of the vehicle. New features and upgrades will be added throughout the car’s lifecycle".
I think they are too far down the road in developing Snapdragon to go back and be ready by 2025 which seems to be the date every luxury producing automaker is trying to meet with their new science fiction vehicles. There is an almighty existential race going on with automakers new and old atm to grab EV market share as ICE vehicles in most western countries will soon be banned and they're also worried the dates could be moved forward depending on global warming.
Following on, there was an article in the Automotive News Europe on the 17th of March which said - BMW and Qualcomm have both said that automakers should not develop unique software systems that cannot be shared - I believe they are having a dig at Mercedes-Benz because they're behind the 8-ball. As we know MB are developing their own OS as well. BMW has backed the wrong horse and they know it. Sharing with other automakers sounds like trying to keep them at BMW's level and not surpass them with a superior ADAS like MB. Stellantis haven't fallen for it.
BMW, Qualcomm to offer autonomous-driving platform to third parties
After the platform is used in BMW vehicles, it will be offered to other automakers and suppliers.europe.autonews.com
Sirod69
bavarian girl ;-)
I'm always looking for one
verifiable connection from brn to qualcomm as i firmly believe that they are a customer of ours
I know @Diogenese say No
Qualcomm
1 Tag
We're pleased to share that Samsung Mobile is now the official smartphone partner of the Snapdragon Pro Series. Together, we're putting premium #Snapdragon powered Samsung Galaxy devices in the hands of billions of gamers around the world.
Qualcomm Announces Samsung as Presenting Partner of the Snapdragon Pro Series
DEC 7, 2022SAN DIEGO
Sirod69
bavarian girl ;-)
Arm Neoverse momentum continues across China! This week Baidu, Inc. announced Arm-based GR1 instances using the Ampere Altra CPU. Congratulations to Baidu and Ampere on the launch!
Baidu Smart Cloud has many years of experience in ARM architecture technology and will continue to participate in the more complete ARM ecosystem to help cloud users create excellent solutions on the more efficient Gr1 platform and achieve better cost performance. At the same time, Baidu Smart Cloud technology allows more small and medium-sized enterprises and software developers to participate in reducing carbon emissions.
baijiahao.baidu.com
Baidu Smart Cloud has many years of experience in ARM architecture technology and will continue to participate in the more complete ARM ecosystem to help cloud users create excellent solutions on the more efficient Gr1 platform and achieve better cost performance. At the same time, Baidu Smart Cloud technology allows more small and medium-sized enterprises and software developers to participate in reducing carbon emissions.
百度安全验证
baijiahao.baidu.com
JDelekto
Regular
If they get on the ball and finally get the DTC eligibility squared away, it might be more enticing to investors who want to take advantage of the currently low stock price but not have to shell out $50 US for every lot they purchase.
I cannot purchase large volumes at once since I only put aside a portion of my paycheck for investing. I have to wait to accumulate enough to make it worth my while. If this DTC eligibility would go through, I wouldn't have to pay a fee for every transaction and I would invest every paycheck.
The way it stands now, It makes sense to have one large transaction instead of several smaller transactions with such a usurious fee. That makes the times that I can purchase the stock few and far between. With that strategy, I usually can't get a price at which I am happy.
I tend to think if other US investors have the same amount of friction investing in BrainChip, they may not consider it worth their while.
Ameritrade charges $6.95/trade for BRCHF and always has at least for the past 12 months since my first purchase.
(As a completely irrelevant aside I am presently on Waiheke Island until Xmas and have never met anyone else who owns Brainchip...anybody here to say hello).
JDelekto
Regular
I wonder if the fee is still the same. I have a co-worker who also uses Ameritrade and says they were also paying a smaller fee. However, they also noted that the fee they had to pay for trades has increased recently.
My company has a Simple IRA plan through Fidelity where I can contribute funds pre-tax dollars, and they have to match up to 3%.
I considered opening an account with Ameritrade, but I was afraid of running into the same hassle I did with WeBull and Robin Hood, specifically those brokers waiting until the last possible minute to make my tax information available, or they didn't have an easy means to electronically transfer the tax information to the company I use for filing.
As I usually tend to get a refund after filing, I like to file as early as possible so that I can get the refund and reinvest that amount.
Maybe in a couple of years, my investment in BrainChip will allow me to hire an accountant to do all of that clerical work for me.
Food4 thought
Regular
Charles
I have a place in surfdale on Waiheke
Wondering could you do me a favour
Send my place a little love while you’re there, it’s a beautiful place Waiheke
Trouble is I just don’t get over there enough, but I am seriously thinking about changing that.
2 Beresford Ave
Cheers
Fact Finder
Top 20
This is a Google translation from French to English of an interview in:
Renesas finalizes the design of a pulse neural network chip
Technologies | December 5, 2022
By A Delapalisse, Nick Flaherty
NEURAL NETWORKS MPUS/MCUS IA
Renesas is putting into production a chip using Pulse Neural Network (SNN) technology developed by Brainchip.
This is part of an initiative to improve the peak performance of its chips for the Internet of Things, said Sailesh Chittipeddi, who became Executive Vice President and Executive Director of the IoT and Infrastructure Business Unit at Renesas Electronics and former CEO of IDT (which was acquired by Renesas) to eeNews Europe and ECI News.
This strategy saw the company develop the first silicon for the M85 cores of ARM and RISC-V as well as new capacity and foundry offers.
"We are very happy to be at the forefront of technology and we have now made a quick transition to fill our shortage of ARM-based products, but we are aware of the challenges of the market and have introduced RISC-V products to ensure that we do not fall behind in new architectures," he said.
"Our next step is to use more advanced technological nodes to push microcontrollers into the gigahertz regime and this is where they overlap with microprocessors. The way I see it is that the important thing is above all the performance of the system.
"Now you have accelerators to drive AI with neural processing units rather than a dual-core processor. We are working with a third party to put a processor into production in December on a 22 nm CMOS process, "said Chittipeddi.
Brainchip and Renesas signed an agreement in December 2020 to implement pulse neural network technology. The tools are vital for this new field. "The partner gives us the training tools we need," he said.
The adoption of technology depends on market adoption, he says.
"We want to see where the market reception is highest, this is what determines whether we do things internally or through a third party. ”
He points out that he works with Andes on RISC-V hearts, then moves on to the development of his own hearts. "You will find something similar on the AI side where accelerators will be integrated internally and some not, it will be entirely based on market activity. Our general philosophy is to internalize things - it's very difficult, but that's what dictates where we put our money and investments.
User experience
"Now that we are starting to reconstruct the pieces of the puzzle, how can we dominate the ecosystem? This is how we assemble it - it's the user experience. How to make it transparent so that customer A and client Z can obtain the desired result transparently, from the availability and ease of use of machine learning models to the implementation of the microcontroller with the fewest clicks to access the cloud, "he said.
"For me, the next big step in the trip is the user experience. The ease of use of analytical data is beginning to matter - cloud providers have their own tools, but the question is how easy it is for our customers to use their tools. It is therefore the API and probably a set of things to help them create scripts.
"Ship and forget is the ideal model you want to access," he said. "Dino Arduino reaches 30 million users without being disturbed on a daily basis. This is something we can learn from, "he said.
Renesas had a good year, he says. "It was a story of good things and really difficult things," he said. " 2022 will be a satisfying year for us. I am not saying that we are immune to macroeconomic forces, but given the strengths in the supply chain, most customers have been relatively positive about our ability to supply them. Thus, our manufacturing, supply chain and sales teams have done a very good job to satisfy customers. ”
"Our internal capacity needs are always tight at 40, 55 and 60 nm and some of our products are still there, it's slowing down a little. What we did, what could be different, is that we signed long-term agreements with clients, so we invested in capital with our partners to commit ourselves to capacity for a horizon of three to five years. It's not just an internal discussion. Whether it's new lines or new fabs, there are a bit of both.
There are fabs to come in 2024 and 2025 with a foundry partner and a new 300 mm fab for the MF3 and MF4 process for microcontrollers with integrated flash, as well as a new 200 mm capacity. He also reopens his Kofu fab for power composers.
Old fabs never die – Renesas reopens fab for 300mm power silicon
"In our plans, we see an ongoing need for sustained investment," he said. "The capacity constraint is still there in the world of IoT. This is where the greatest consumption of silicon ends up occurring.
The 40nm RV40F process is used internally and at TSMC and it is being sought to extend it to other foundries as well, he says. "We are working with another partner to use the 40 nm process," he said.
Renesas finalizes the design of a pulse neural network chip
Technologies | December 5, 2022
By A Delapalisse, Nick Flaherty
NEURAL NETWORKS MPUS/MCUS IA
Renesas is putting into production a chip using Pulse Neural Network (SNN) technology developed by Brainchip.
This is part of an initiative to improve the peak performance of its chips for the Internet of Things, said Sailesh Chittipeddi, who became Executive Vice President and Executive Director of the IoT and Infrastructure Business Unit at Renesas Electronics and former CEO of IDT (which was acquired by Renesas) to eeNews Europe and ECI News.
This strategy saw the company develop the first silicon for the M85 cores of ARM and RISC-V as well as new capacity and foundry offers.
"We are very happy to be at the forefront of technology and we have now made a quick transition to fill our shortage of ARM-based products, but we are aware of the challenges of the market and have introduced RISC-V products to ensure that we do not fall behind in new architectures," he said.
"Our next step is to use more advanced technological nodes to push microcontrollers into the gigahertz regime and this is where they overlap with microprocessors. The way I see it is that the important thing is above all the performance of the system.
"Now you have accelerators to drive AI with neural processing units rather than a dual-core processor. We are working with a third party to put a processor into production in December on a 22 nm CMOS process, "said Chittipeddi.
Brainchip and Renesas signed an agreement in December 2020 to implement pulse neural network technology. The tools are vital for this new field. "The partner gives us the training tools we need," he said.
The adoption of technology depends on market adoption, he says.
"We want to see where the market reception is highest, this is what determines whether we do things internally or through a third party. ”
He points out that he works with Andes on RISC-V hearts, then moves on to the development of his own hearts. "You will find something similar on the AI side where accelerators will be integrated internally and some not, it will be entirely based on market activity. Our general philosophy is to internalize things - it's very difficult, but that's what dictates where we put our money and investments.
User experience
"Now that we are starting to reconstruct the pieces of the puzzle, how can we dominate the ecosystem? This is how we assemble it - it's the user experience. How to make it transparent so that customer A and client Z can obtain the desired result transparently, from the availability and ease of use of machine learning models to the implementation of the microcontroller with the fewest clicks to access the cloud, "he said.
"For me, the next big step in the trip is the user experience. The ease of use of analytical data is beginning to matter - cloud providers have their own tools, but the question is how easy it is for our customers to use their tools. It is therefore the API and probably a set of things to help them create scripts.
"Ship and forget is the ideal model you want to access," he said. "Dino Arduino reaches 30 million users without being disturbed on a daily basis. This is something we can learn from, "he said.
Renesas had a good year, he says. "It was a story of good things and really difficult things," he said. " 2022 will be a satisfying year for us. I am not saying that we are immune to macroeconomic forces, but given the strengths in the supply chain, most customers have been relatively positive about our ability to supply them. Thus, our manufacturing, supply chain and sales teams have done a very good job to satisfy customers. ”
"Our internal capacity needs are always tight at 40, 55 and 60 nm and some of our products are still there, it's slowing down a little. What we did, what could be different, is that we signed long-term agreements with clients, so we invested in capital with our partners to commit ourselves to capacity for a horizon of three to five years. It's not just an internal discussion. Whether it's new lines or new fabs, there are a bit of both.
There are fabs to come in 2024 and 2025 with a foundry partner and a new 300 mm fab for the MF3 and MF4 process for microcontrollers with integrated flash, as well as a new 200 mm capacity. He also reopens his Kofu fab for power composers.
Old fabs never die – Renesas reopens fab for 300mm power silicon
"In our plans, we see an ongoing need for sustained investment," he said. "The capacity constraint is still there in the world of IoT. This is where the greatest consumption of silicon ends up occurring.
The 40nm RV40F process is used internally and at TSMC and it is being sought to extend it to other foundries as well, he says. "We are working with another partner to use the 40 nm process," he said.
Last edited:
Fact Finder
Top 20
Hi @mrgds
You have proven the value of revisiting as this is an interview that was previously posted but it has been greatly enhanced with new graphics and production techniques so I thank you for posting and suggest it is definitely more entertaining and worth watching again.
Many thanks.
My opinion only DYOR
FF
AKIDA BALLISTA
stockduck
Regular
Similar threads
