White Horse
Regular
Good pick up.Interesting interview for sure, but he is talking about Renaissance technologies at 17.40...not Renesas.
That being the case, they could use Akida to refine their compute process.
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
That being the case, they could use Akida to refine their compute process.
Tothemoon24
Top 20
A second generation of our system #MBUX for the New EQS SUV. 
Thanks to an adaptive #logiciel, the display and control concept adapts completely to its users. Personalized suggestions are offered by artificial intelligence to manage the infotainment and comfort functions of the vehicle. Key applications are thus directly accessible depending on the situation and context.
Visit our website to discover the New EQS SUV in detail: https://lnkd.in/gY9FiizD
#EQS #EQS #MercedesEQ #ProgressiveLuxury SUV
Thanks to an adaptive #logiciel, the display and control concept adapts completely to its users. Personalized suggestions are offered by artificial intelligence to manage the infotainment and comfort functions of the vehicle. Key applications are thus directly accessible depending on the situation and context.
Visit our website to discover the New EQS SUV in detail: https://lnkd.in/gY9FiizD
#EQS #EQS #MercedesEQ #ProgressiveLuxury SUV
Intellisense to use neuromorphic AI for next generation cognitive radio chip
Intellisense to use neuromorphic AI for next generation cognitive radio chip
Intellisense Systems is to use neuromorphic AI technology from BrainChip to improve cognitive radio system on spacecraft and robotics.
www.eenewseurope.com
Intellisense Systems is to use neuromorphic AI technology from BrainChip to improve cognitive radio system on spacecraft and robotics.
Intellisense’s intelligent radio frequency (RF) system enable wireless devices and platforms to sense and learn the characteristics of the communications environment in real time, providing enhanced communication quality, reliability and security. By integrating BrainChip’s Akida neuromorphic processor, Intellisense can deliver even more advanced, yet energy efficient, cognitive capabilities to its RF system solutions.
One such project is the development of a new Neuromorphic Enhanced Cognitive Radio (NECR) device to enable autonomous space operations on platforms constrained by size, weight and power (SWaP).
- NASA looks to BrainChip’s spiking neural network chip
- BrainChip integrates Akida AI core with ARM Cortex-M85
- BrainChip tapes out its AI chip in 22nm FD SOI
“By integrating BrainChip’s Akida processor into our cognitive radio solutions, we will be able to provide our customers with an unparalleled level of performance, adaptability and reliability,” said Frank Willis, President and CEO of Intellisense.
“Intellisense provides advanced sensing and display solutions and we are thrilled to be partnering with them to deliver the next generation of cognitive radio capabilities,” said Sean Hehir, CEO of BrainChip. “Our Akida processor is uniquely suited to address the demanding requirements of cognitive radio applications and we look forward to continue partnering with Intellisense to deliver cutting-edge embedded processing with AI on-chip to their customers.”
www.brainchip.com
Can someone dig a little bit deeper…
www.eenewseurope.com
POLYN Technology has introduced VibroSense, a Tiny AI chip for vibration monitoring sensor nodes. VibroSense greatly reduces the amount of sensor data transmitted to the cloud, saving on power consumption and enabling energy-harvesting designs.
VibroSense extracts unique patterns from sensor’s raw signal and passes the valuable data only for classification at the next compute point. It smoothly and simply integrates into existing solutions to improve the ROI and OPEX of the deployment. It is particularly suited to Industry 4.0 applications.
“PdM solutions usually require cloud services and are resource-hungry,” said Eugene Zetserov, Vice President of Marketing for POLYN. “The sensor node consumes a lot of electricity on vibration data transmission. Collecting data from many sensors requires considerable resources such as the sensor node itself, radio bandwidth, data processing and storage in the cloud
“VibroSense reduces the need for these resources through a thousandfold reduction of sensor data to be sent for analysis in the central cloud or at the edge.”
POLYN provides a framework for trained neural networks conversion into an analog neuromorphic chip for inference. It supports a hybrid architecture where unique patterns of the specific signal extracted in the analog portion, leaving classification for the digital element. In this way VibroSense supports flexibility along with power consumption savings and specific machine adaptation to allow various deployments within the same chip.
“VibroSense is the only analog neuromorphic product on the market today that extracts vibration signal patterns at the sensor level. It not only saves IIoT network bandwidth and reduces total cost of ownership, it enables faster adaptation of predictive maintenance systems, better performance and sustainability,” Zetserov said.
POLYN is a fabless semiconductor company providing application specific Neuromorphic Analog Signal Processing (NASP) technology and Neuromorphic Front End (NFE) chips for always-on sensor-level systems. NFE enables ultra-low power consumption, low latency, and high resiliency for novel AI products at the thin edge.
www.polyn.ai
Application-specific vibration pre-processing chip
Application-specific vibration pre-processing chip
AI chip enables a thousandfold reduction of vibration sensor data to be sent for analysis in the central cloud or at the edge.
www.eenewseurope.com
POLYN Technology has introduced VibroSense, a Tiny AI chip for vibration monitoring sensor nodes. VibroSense greatly reduces the amount of sensor data transmitted to the cloud, saving on power consumption and enabling energy-harvesting designs.
VibroSense extracts unique patterns from sensor’s raw signal and passes the valuable data only for classification at the next compute point. It smoothly and simply integrates into existing solutions to improve the ROI and OPEX of the deployment. It is particularly suited to Industry 4.0 applications.
“PdM solutions usually require cloud services and are resource-hungry,” said Eugene Zetserov, Vice President of Marketing for POLYN. “The sensor node consumes a lot of electricity on vibration data transmission. Collecting data from many sensors requires considerable resources such as the sensor node itself, radio bandwidth, data processing and storage in the cloud
“VibroSense reduces the need for these resources through a thousandfold reduction of sensor data to be sent for analysis in the central cloud or at the edge.”
POLYN provides a framework for trained neural networks conversion into an analog neuromorphic chip for inference. It supports a hybrid architecture where unique patterns of the specific signal extracted in the analog portion, leaving classification for the digital element. In this way VibroSense supports flexibility along with power consumption savings and specific machine adaptation to allow various deployments within the same chip.
“VibroSense is the only analog neuromorphic product on the market today that extracts vibration signal patterns at the sensor level. It not only saves IIoT network bandwidth and reduces total cost of ownership, it enables faster adaptation of predictive maintenance systems, better performance and sustainability,” Zetserov said.
POLYN is a fabless semiconductor company providing application specific Neuromorphic Analog Signal Processing (NASP) technology and Neuromorphic Front End (NFE) chips for always-on sensor-level systems. NFE enables ultra-low power consumption, low latency, and high resiliency for novel AI products at the thin edge.
www.polyn.ai
Don’t know if posted before
By Nick Flaherty
www.eenewseurope.com
ARM is to launch the latest version of its premium microcontroller development kit (MDK), adding support for the latest Cortex-M55 and M85 high performance microcontroller cores and Ethos-U microNPU machine learning cores as well as virtual hardware.
The Cortex-M processor family has over 9,500 different microcontrollers from 38 different silicon vendors available today, and the demand for more machine learning (ML) capabilities in IoT applications is growing exponentially. The focus on supporting embedded AI aims to counteract the success of the competing RISC-V core in this area, and the development tools are a key factor for this.
As IoT devices get smarter, developers are facing increasing software complexity that requires new development flows that create optimized ML models combined with efficient device drivers. It is therefore crucial that the software development platforms and tools we are providing to the ecosystem are evolving alongside our processor roadmap.
Keil MDK Version 6 includes Keil Studio Desktop, an extension pack for Microsoft Visual Studio Code (VS Code) provides an integrated development environment (IDE) for Cortex-M-based microcontrollers.
With full support of CMSIS workflows and an integrated debugger, it includes components to create, build, and test embedded applications on Windows, Linux, and macOS host computers. VS Code integrates with Git version control and offers a rich set of third-party extensions. This makes MDK Version 6 a flexible and extensible development platform for any embedded IoT or ML project.
CMSIS-based development flows with the CMSIS-Toolbox is a critical element of Keil MDK Version 6. It starts with a device or board selection that configures the complete toolchain including debug, and gives access to reusable software components including various RTOS kernels, device drivers, and middleware. CMSIS also provides compute and machine learning libraries that are optimized for the entire Cortex-M processor portfolio. The new CMSIS-View component implements event-based software verification including execution-time analysis which is also used to determine the best matching ML models for the application.
The Keil MDK integration supports test case development and verification on desktop systems. Combining desktop and cloud-based workflows allows developers to embrace CI/CD, DevOps, and MLOps core concepts and a software first development approach. AVH is available in multiple deployments such as GitHub, Qeexo AutoML, Keil Studio Cloud, and AWS AMI for flexible cloud access.
Along with newly introduced host support for Windows, Linux, and macOS, MDK Version 6 continues to include the µVision IDE for Windows and features for functional safety. Embedded systems frequently require several years of product longevity and MDK supports the entire product lifecycle from initiation to completion and maintenance. Keil Studio Cloud continues to complement the MDK desktop tools with a ready-to-use cloud-native development environment that requires no installation.
A preview of Keil MDK Version 6 is at Embedded World (EW2023) this week and the MDK naturally has support from across the industry including chip maker STMicroelectronics and cloud and RTOS provider Microsoft.
“Millions of developers and companies around the world rely on GitHub for software development, and coding standards compliance (e.g. AUTOSAR, CERT, & MISRA) across a range of applications. Combining Keil MDK, ARM Virtual Hardware, and GitHub CodeQL with GitHub Actions gives an efficient and lean CI/CD workflow for faster development of reliable embedded systems,” said Clay Nelson, Vice President of Sales, GitHub.
“Arm and Microsoft have a long-standing partnership on many fronts. We are excited that the Keil MDK extensions are available to millions of developers using Visual Studio Code. With the extensive CMSIS ecosystem and ARM Virtual Hardware support in GitHub Actions, this solution is ideal for embedded developers,” said Amanda Silver, Corporate Vice President at Microsoft.
“Qeexo AutoML is designed to make machine learning accessible to a wider range of users, including businesses, researchers, and developers who may not have deep knowledge of ML,” said Michael Gamble, Director Product Management, TDK Qeexo.
“Based on sensor data, Qeexo AutoML automatically builds machine learning solutions that are optimized for Arm processors and is used in building a wide variety of applications including: industrial, mobile, home IoT, medical, and automotive. Combined with Keil MDK and ARM Virtual Hardware, the complete end-to-end ML workflow for embedded developers is now easier than ever,”
“ST is committed to innovation and development accelerators that support our broad STM32 product portfolio, rich ecosystem, and application-support infrastructure. Keil MDK version 6 with its flexibility and wide set of extensions is an important development platform for our user base and the new enhancements will be valuable to the entire community,” said Daniel Colonna, Marketing Director Microcontrollers, STMicroelectronics.
www.arm.com
ARM adds AI, virtual hardware support to Keil MDK 6
New Products | March 13, 2023By Nick Flaherty
ARM adds AI, virtual hardware support to Keil MDK 6
ARM is to launch Keil MDK6 with support for the M55 and M85 Cortex cores, AI accelerators and virtual hardware.
www.eenewseurope.com
ARM is to launch the latest version of its premium microcontroller development kit (MDK), adding support for the latest Cortex-M55 and M85 high performance microcontroller cores and Ethos-U microNPU machine learning cores as well as virtual hardware.
The Cortex-M processor family has over 9,500 different microcontrollers from 38 different silicon vendors available today, and the demand for more machine learning (ML) capabilities in IoT applications is growing exponentially. The focus on supporting embedded AI aims to counteract the success of the competing RISC-V core in this area, and the development tools are a key factor for this.
As IoT devices get smarter, developers are facing increasing software complexity that requires new development flows that create optimized ML models combined with efficient device drivers. It is therefore crucial that the software development platforms and tools we are providing to the ecosystem are evolving alongside our processor roadmap.
- Custom instructions in M85 controller see RISC-V AI fightback
- BrainChip integrates Akida AI core with ARM Cortex-M85
- ARM battles RISC-V at Renesas
Keil MDK Version 6 includes Keil Studio Desktop, an extension pack for Microsoft Visual Studio Code (VS Code) provides an integrated development environment (IDE) for Cortex-M-based microcontrollers.
With full support of CMSIS workflows and an integrated debugger, it includes components to create, build, and test embedded applications on Windows, Linux, and macOS host computers. VS Code integrates with Git version control and offers a rich set of third-party extensions. This makes MDK Version 6 a flexible and extensible development platform for any embedded IoT or ML project.
CMSIS-based development flows with the CMSIS-Toolbox is a critical element of Keil MDK Version 6. It starts with a device or board selection that configures the complete toolchain including debug, and gives access to reusable software components including various RTOS kernels, device drivers, and middleware. CMSIS also provides compute and machine learning libraries that are optimized for the entire Cortex-M processor portfolio. The new CMSIS-View component implements event-based software verification including execution-time analysis which is also used to determine the best matching ML models for the application.
- Hypervisor deal for IoT virtual hardware
- Virtual modelling toolchain to boost AIoT
- ARM details virtual model use for the IoT
The Keil MDK integration supports test case development and verification on desktop systems. Combining desktop and cloud-based workflows allows developers to embrace CI/CD, DevOps, and MLOps core concepts and a software first development approach. AVH is available in multiple deployments such as GitHub, Qeexo AutoML, Keil Studio Cloud, and AWS AMI for flexible cloud access.
Along with newly introduced host support for Windows, Linux, and macOS, MDK Version 6 continues to include the µVision IDE for Windows and features for functional safety. Embedded systems frequently require several years of product longevity and MDK supports the entire product lifecycle from initiation to completion and maintenance. Keil Studio Cloud continues to complement the MDK desktop tools with a ready-to-use cloud-native development environment that requires no installation.
A preview of Keil MDK Version 6 is at Embedded World (EW2023) this week and the MDK naturally has support from across the industry including chip maker STMicroelectronics and cloud and RTOS provider Microsoft.
“Millions of developers and companies around the world rely on GitHub for software development, and coding standards compliance (e.g. AUTOSAR, CERT, & MISRA) across a range of applications. Combining Keil MDK, ARM Virtual Hardware, and GitHub CodeQL with GitHub Actions gives an efficient and lean CI/CD workflow for faster development of reliable embedded systems,” said Clay Nelson, Vice President of Sales, GitHub.
“Arm and Microsoft have a long-standing partnership on many fronts. We are excited that the Keil MDK extensions are available to millions of developers using Visual Studio Code. With the extensive CMSIS ecosystem and ARM Virtual Hardware support in GitHub Actions, this solution is ideal for embedded developers,” said Amanda Silver, Corporate Vice President at Microsoft.
“Qeexo AutoML is designed to make machine learning accessible to a wider range of users, including businesses, researchers, and developers who may not have deep knowledge of ML,” said Michael Gamble, Director Product Management, TDK Qeexo.
“Based on sensor data, Qeexo AutoML automatically builds machine learning solutions that are optimized for Arm processors and is used in building a wide variety of applications including: industrial, mobile, home IoT, medical, and automotive. Combined with Keil MDK and ARM Virtual Hardware, the complete end-to-end ML workflow for embedded developers is now easier than ever,”
“ST is committed to innovation and development accelerators that support our broad STM32 product portfolio, rich ecosystem, and application-support infrastructure. Keil MDK version 6 with its flexibility and wide set of extensions is an important development platform for our user base and the new enhancements will be valuable to the entire community,” said Daniel Colonna, Marketing Director Microcontrollers, STMicroelectronics.
www.arm.com
D
Deleted member 118
Guest
Interesting article
amp.theguardian.com
‘Of course it’s disturbing’: will AI change Hollywood forever?
With the rise of AI-led services to write, voice and provide effects, industry experts express concern over the future
Humble Genius
Regular
What are peoples thoughts on these 2 camera applications:
1. Aqara:
2, Texas Instruments:
www.bisinfotech.com
1. Aqara:
Aqara Releases Video Doorbell G4 with Facial Recognition to Global Markets
Aqara announces the wide availability of the Company’s first smart video doorbell, the G4, on global markets.
www.businesswire.com
2, Texas Instruments:
AI in Smart Camera Applications with New Vision Processor Family
Texas Instruments (TI) has introduced a new family of six Arm® Cortex®-based vision processors that allow designers to add more vision and AI.
www.bisinfotech.com
VictorG
Member
Some old news to start a new week.
I'm gunning for 20% gain this week.
www.linkedin.com
I'm gunning for 20% gain this week.
Sign Up | LinkedIn
500 million+ members | Manage your professional identity. Build and engage with your professional network. Access knowledge, insights and opportunities.
Sirod69
bavarian girl ;-)
Top 5 Autonomous Vehicle Companies We Recently Studied
Mobileye....
Nvidia
...
Qualcom
...
Valeo
Valeo is a Tier One supplier that supports OEM customers in their autonomous vehicle ambitions. The French company provides end-to-end autonomous driving development applications up to L2+.And when it comes to specific components needed for self-driving cars, Valeo can support L3 to L4, which allows the company to maintain its position as a cooperative—not a competitive—partner.
Part of the reason why Valeo is a leading autonomous vehicle platform provider is because of the firm's expertise in sensing technology. To remain relevant to L3 and L4 applications, Valeo focuses on market-leading Light Detection and Ranging (LiDAR) solutions and autonomous parking. LiDAR serves as a must-have tertiary sensor for unsupervised automation. Furthermore, Autonomous Valet Parking (AVP), a low-hanging fruit use case for driverless cars, is also supported by Valeo.
Like Waymo, Valeo scored well in our software platform maturity category (9/10), highlighting the company’s long-serving existence in the Advanced Driver-Assistance Systems (ADAS) market. For example, Valeo will produce another 9 million front camera systems in 2023 on top of the 13 million camera systems it has already produced to date.
Moreover, Valeo is a top player in the parking assistance and low-speed autonomous maneuvering space, in addition to the company’s leading role in LiDAR technoloheadquartered
Waymo
...
Top 5 Autonomous Vehicle Companies We Recently Studied
In this blog post, we list the top 5 autonomous vehicle companies providing manufacturers with robust self-driving platforms.
Stable Genius
Regular
Wow. Thanks for sharing that. He’s an absolute genius.
I’m so glad Brainchip has bought the JAST rules as they seem fundamental to his SNN approach so hopefully that give us some copyright protection/ownership of future competition in this field.
I only skimmed through it as I’m time poor at the moment but it is fascinating.
Still hopeful NVIDIA or similar decide to use Akida to reduce the power usage for processing CHATGPT or similar so it can be used on smaller devices at less cost and it’ll be really beneficial for humanity.
stockduck
Regular
This job description could give the impression that this company is interested in the development of a commercial chip and no longer just in research....
".....
Our goal is to exploit neuromorphic and related non-von Neumann architectures to solve real-world problems with orders of magnitude gains versus the best known conventional solutions in applications ranging from cloud to edge based systems.
As a senior researcher, you will prototype hardware-aware neuromorphic algorithms for use on real-world applications in partnership with external customers. You will be part of a diverse international team of engineers and researchers working together on our mission to demonstrate the commercial value of our technology. Your day to day work may range from designing new projects, gathering requirements for customer use cases,
......"
".....
Our goal is to exploit neuromorphic and related non-von Neumann architectures to solve real-world problems with orders of magnitude gains versus the best known conventional solutions in applications ranging from cloud to edge based systems.
As a senior researcher, you will prototype hardware-aware neuromorphic algorithms for use on real-world applications in partnership with external customers. You will be part of a diverse international team of engineers and researchers working together on our mission to demonstrate the commercial value of our technology. Your day to day work may range from designing new projects, gathering requirements for customer use cases,
......"
Pope (and TECH)
No, .....I'm disappointed to say that TECH didn't reply back with respect to his specific use of the January 1 2025 date.
It cannot be a Nasdaq listing celebration because the Nasdaq is closed that day.
Let me opine that TECH was likely suggesting that in a bit more than a year and one half Brainchip will be making significantly more revenue than it ever has and that our stock price will be significantly higher as a result. His citing the January 1 day is probably nothing more than a symbolic turning of a calendar page into the year 2025 when the revenue floodgates really open up.
Maybe that is his planned retirement date,...Or maybe that is when he plans to attend the iconic Rose Parade in person in Pasadena, CA.
Who knows?
I'm still curious though. I'd love to hear what he has to say in lieu of me putting words in his mouth, so to speak.
Regards, dippY
All in my opinion,....no investment advice intended.
Sirod69
bavarian girl ;-)
Artificial Intelligence (AI) Future Opportunities
To summarize, As a visionary, I see the future of AI as a world of abundance, opportunity, and possibility. A world where AI enables us to solve the most pressing challenges of our time, from climate change and poverty to disease and inequality. A world where AI empowers us to achieve our wildest dreams and create a future that is beyond our imagination. The future of AI is bright and promising. As a society, we have the power to shape its trajectory and ensure that it serves our collective interests and values. So let us embrace the potential of AI while also being mindful of its risks and challenges and work together to create a future that is truly worthy of our aspirations.
stuart888
Regular
More from the 9 million microprocessors-shipping-per-day Renesas! 
Their new Quick-Connect Studio looks impressive. https://www.renesas.com/us/en/software-tool/quick-connect-studio
Quick-Connect Studio is an online, cloud-based design platform that enables users to graphically build hardware and software to quickly validate prototypes and accelerate product development. With Quick-Connect Studio, engineers can visually drag and drop device and subsystem blocks on the Cloud to build their solution. The platform automatically generates, compiles, and builds software to enable no-code development. Users can build a full solution in the cloud and quickly deploy to hardware in less than 10 minutes. Quick-Connect Studio is built on the Quick-Connect IoT platform, which features industry-standard interfaces for designers to seamlessly connect and expand beyond Renesas.
The company investing money into this can only be great for low power edge AI/ML partner like Brainchip.
Not sure if this was posted either.
Their new Quick-Connect Studio looks impressive. https://www.renesas.com/us/en/software-tool/quick-connect-studioQuick-Connect Studio is an online, cloud-based design platform that enables users to graphically build hardware and software to quickly validate prototypes and accelerate product development. With Quick-Connect Studio, engineers can visually drag and drop device and subsystem blocks on the Cloud to build their solution. The platform automatically generates, compiles, and builds software to enable no-code development. Users can build a full solution in the cloud and quickly deploy to hardware in less than 10 minutes. Quick-Connect Studio is built on the Quick-Connect IoT platform, which features industry-standard interfaces for designers to seamlessly connect and expand beyond Renesas.
The company investing money into this can only be great for low power edge AI/ML partner like Brainchip.
Not sure if this was posted either.
stuart888
Regular
Brainchip's continued growth is this growth-rocket field is fascinating.
This is a nicely done IBM presentation on an important concept. I am not sure 90 days ago if I had ever heard of: Generative AI.
8 minutes, no commercials.
What are Generative AI models?
VictorG
Member
Brainchip's continued growth is this growth-rocket field is fascinating.
This is a nicely done IBM presentation on an important concept. I am not sure 90 days ago if I had ever heard of: Generative AI.
8 minutes, no commercials.
What are Generative AI models?
This presentation should be compulsory viewing. Thanks for sharing stuart888.
stuart888
Regular
The Ciovacco Capital weekly Saturday Morning video is A+. Thanks for sharing. Great to keep up on the market as a whole, all 9 core sectors, and semiconductors.
Another finance/economics knowledge passing winner, with nice charts, and a little humor is below. He is sharp; I aways learn.
thelittleshort
Top Bloke
Interest
With 468 new followers in the month, March 2023 proves that BrainChip continues to gain momentum among industry professionals - usurping the previous highest total of 431 back in May 2022*
*I started tracking in March 2022
Last edited:
stuart888
Regular
Thanks for all the info folks. Too much to follow!Top 5 Autonomous Vehicle Companies We Recently Studied
Mobileye
....
Nvidia
...
Qualcom
...
Valeo
Valeo is a Tier One supplier that supports OEM customers in their autonomous vehicle ambitions. The French company provides end-to-end autonomous driving development applications up to L2+.
And when it comes to specific components needed for self-driving cars, Valeo can support L3 to L4, which allows the company to maintain its position as a cooperative—not a competitive—partner.
Part of the reason why Valeo is a leading autonomous vehicle platform provider is because of the firm's expertise in sensing technology. To remain relevant to L3 and L4 applications, Valeo focuses on market-leading Light Detection and Ranging (LiDAR) solutions and autonomous parking. LiDAR serves as a must-have tertiary sensor for unsupervised automation. Furthermore, Autonomous Valet Parking (AVP), a low-hanging fruit use case for driverless cars, is also supported by Valeo.
Like Waymo, Valeo scored well in our software platform maturity category (9/10), highlighting the company’s long-serving existence in the Advanced Driver-Assistance Systems (ADAS) market. For example, Valeo will produce another 9 million front camera systems in 2023 on top of the 13 million camera systems it has already produced to date.
Moreover, Valeo is a top player in the parking assistance and low-speed autonomous maneuvering space, in addition to the company’s leading role in LiDAR technoloheadquartered
Waymo
...
Top 5 Autonomous Vehicle Companies We Recently Studied
In this blog post, we list the top 5 autonomous vehicle companies providing manufacturers with robust self-driving platforms.www.abiresearch.com
Here is a 60 second Valeo automatic parking example.
https://www.valeo.com/en/third-generation-valeo-lidar-interview-clement-nouvel/
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