The only issue I take with his summary is that it was 1,024 AKD1,000’s that could be connected but in the end for the markets they are serving they went with the capacity to COTS up to 64.FF
Found a workaround to the original Turchin paper reference.
![]()
Alexey Turchin, Assessing the future plausibility of catastrophically dangerous AI - PhilPapers
In AI safety research, the median timing of AGI creation is often taken as a reference point, which various polls predict will happen in second half of the 21 century, but ...philpapers.org
Couldn't locate any ref to biometrics however his comments on Akida:
View attachment 2635
Hi Chilling,Right everyone is avoiding it but what is a realistic bottom to this share price?
Semiconductors are up on the Nasdaq but somehow we continue to slide.
Hi SG,Morning all,
Valeo received an award for their Lidar 3.
Isn’t it wonderful to be a known partner with Valeo (and possibly part of this lauded innovative technology).
Future looks good!
Valeo Lauded by Frost & Sullivan for Delivering Cutting-edge 3D Sensors and Related Software Perception Stack to the Automotive Industry
Valeo is currently the only automotive supplier commercializing mass-produced automotive-grade LiDAR sensors, with the perception software included.
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San Antonio — March 15, 2022 — Based on its recent analysis of the global automotive light detection and ranging (LiDAR) industry, Frost & Sullivan recognizes Valeo with the 2022 Global Market Leadership Award for strengthening its global market presence with pioneering automotive 3D sensors. Valeo is a globally renowned company with 99 years of expertise in the automotive sector and one of the biggest automotive suppliers worldwide.![]()
Click here to view the full multimedia release: https://best-practices.frost.com/valeo/
Valeo’s advanced systems promote intuitive and effective driving, facilitating autonomous vehicle (AV) adoption. The company recently launched a new flagship product, SCALA®, which offers highly differentiated 3D sensing that enable superior autonomy, resolution, distance and speed measurement, pedestrian detection, and autonomous emergency braking, among other features.
“The company manufactures SCALA®, the automotive industry’s first commercial 3D LiDAR sensor for AV applications. Valeo SCALA® is a 3D mechanical scanning LiDAR sensor that offers a wide Field of View (FoV) of up to 145 degrees. Its AI-based integrated software detects, recognizes, and classifies static and dynamic objects up to a distance of 200 meters in all weather and lighting conditions,” said Kamalesh Mohanarangam, Research Manager at Frost & Sullivan. “Valeo’s sensor portfolio includes ultrasonic sensors, cameras, and radars, providing intelligent sensing solutions for advanced driver-assistance systems (ADAS) and autonomous applications.”
Valeo seeks to be a key player in the future of global mobility while addressing the current environmental and societal challenges. To this end, the company leverages its solid market position to work closely with automakers, new mobility players, and technology partners and meet customer demands with breakthrough solutions that improve driving-assistance systems, telematics, lighting setup, interior control software, and much more.
The company is committed to research and development and has 63 research centers working to create cutting-edge, advanced technologies at industry-standard costs. To date, Valeo’s strategy of innovating forward-looking products enabled it to maintain its market leadership and the company is expected to continue leading the LiDAR industry in the long term.
“Valeo’s growth strategy focuses on innovation in solutions and market expansion in high-growth countries. The company positions itself as a technology company for electric and AV applications and has solidified its market leadership by equipping one-third of global electric and AV volumes with innovative solutions,” noted Mohanarangam. “With innovation as its key growth strategy, Valeo will strengthen its global market presence and extend its solution offerings in the electric and AV market.”
Each year, Frost & Sullivan presents this award to the company that has developed an innovative element in a product by leveraging leading-edge technologies. The award recognizes the value-added features/benefits of the product and the increased ROI it offers customers, which, in turn, raises customer acquisition and overall market penetration potential.
Frost & Sullivan Best Practices awards recognize companies in various regional and global markets for demonstrating outstanding achievement and superior performance in leadership, technological innovation, customer service, and strategic product development. Industry analysts compare market participants and measure performance through in-depth interviews, analyses, and extensive secondary research to identify best practices in the industry.
Peace
Hi DioHi SG,
I think this is unalloyed good news.
In 2019, a paper was published by Valeo on the subject of SNNs:
https://arxiv.org/abs/1903.02080
Exploring Deep Spiking Neural Networks for Automated Driving Applications
Sambit Mohapatra1 , Heinrich Gotzig1 , Senthil Yogamani2 , Stefan Milz3 and Raoul Zollner ¨ 4
1Valeo Bietigheim, Germany
2Valeo Vision Systems, Ireland
3Valeo Kronach, Germany
4Heilbronn University, Germany
{sambit.mohapatra,heinrich.gotzig,senthil.yogamani,stefan.milz}@valeo.com, raoul.zoellner@hs-heilbronn.de
Keywords: Visual Perception, Efficient Networks, Automated Driving.
Abstract: Neural networks have become the standard model for various computer vision tasks in automated driving including semantic segmentation, moving object detection, depth estimation, visual odometry, etc. The main flavors of neural networks which are used commonly are convolutional (CNN) and recurrent (RNN). In spite of rapid progress in embedded processors, power consumption and cost is still a bottleneck. Spiking Neural Networks (SNNs) are gradually progressing to achieve low-power event-driven hardware architecture which has a potential for high efficiency. In this paper, we explore the role of deep spiking neural networks (SNN) for automated driving applications. We provide an overview of progress on SNN and argue how it can be a good fit for automated driving applications.
...
[see Table 1]:
Finally SNNs can be queried for results anytime after the first spikes are produced at the output since information processing is not frame based (Rueckauer et al., 2017). Several implementations of deep SNNs on neuromorphic hardware such as SpiNNaker and BrainChip have demonstrated sensor applications that support this potential of SNNs.
Now we looked at Spinnaker a couple of weeks ago. Spinnaker is a warehouse full of ARM processors used for research, so I doubt that Valeo is using that in their SCALA Lidar ADAS system.
Thanks Dio for the confirmation. I’ve been convinced for quite a while Brainchip is in Valero’s version 3 Lidar which is just one reason I have complete confidence in my investment. Just trying to allay the fears of others not so sure!Hi SG,
I think this is unalloyed good news.
In 2019, a paper was published by Valeo on the subject of SNNs:
https://arxiv.org/abs/1903.02080
Exploring Deep Spiking Neural Networks for Automated Driving Applications
Sambit Mohapatra1 , Heinrich Gotzig1 , Senthil Yogamani2 , Stefan Milz3 and Raoul Zollner ¨ 4
1Valeo Bietigheim, Germany
2Valeo Vision Systems, Ireland
3Valeo Kronach, Germany
4Heilbronn University, Germany
{sambit.mohapatra,heinrich.gotzig,senthil.yogamani,stefan.milz}@valeo.com, raoul.zoellner@hs-heilbronn.de
Keywords: Visual Perception, Efficient Networks, Automated Driving.
Abstract: Neural networks have become the standard model for various computer vision tasks in automated driving including semantic segmentation, moving object detection, depth estimation, visual odometry, etc. The main flavors of neural networks which are used commonly are convolutional (CNN) and recurrent (RNN). In spite of rapid progress in embedded processors, power consumption and cost is still a bottleneck. Spiking Neural Networks (SNNs) are gradually progressing to achieve low-power event-driven hardware architecture which has a potential for high efficiency. In this paper, we explore the role of deep spiking neural networks (SNN) for automated driving applications. We provide an overview of progress on SNN and argue how it can be a good fit for automated driving applications.
...
[see Table 1]:
Finally SNNs can be queried for results anytime after the first spikes are produced at the output since information processing is not frame based (Rueckauer et al., 2017). Several implementations of deep SNNs on neuromorphic hardware such as SpiNNaker and BrainChip have demonstrated sensor applications that support this potential of SNNs.
Now we looked at Spinnaker a couple of weeks ago. Spinnaker is a warehouse full of ARM processors used for research, so I doubt that Valeo is using that in their SCALA Lidar ADAS system.
See the down-rampers are starting to migrate.Suspect it will move down to 50c range given they don't allow announcements of any kind. Running blind apart from speculative commentary.
Thanks JK I could not remember the third one Ultrasound. I know I saw somewhere a reference to infrared technology and AKIDA and this would fit with the post by @Alfie above and the part I have extracted below. Will throw it over to the 1,000 Eyes and keep looking.
I would not be surprised if Magik Eye and BrainChip worked together to provide a solution for Valeo. We haven't heard a peep out of Magik Eye (I think Magik Eye technology is suited to Valeo's Near Field Lidar system)Thanks Dio for the confirmation. I’ve been convinced for quite a while Brainchip is in Valero’s version 3 Lidar which is just one reason I have complete confidence in my investment. Just trying to allay the fears of others not so sure!
Of course I could be wrong: I rather humiliatingly only got 3/8 right in the NRL tips last week
Just got to wait until 2024 for the unveiling however I’m confident the returns will be huge and worth it regardless of what’s going on now!
Peace
Hi SladeI would not be surprised if Magik Eye and BrainChip worked together to provide a solution for Valeo. We haven't heard a peep out of Magik Eye (I think Magik Eye technology is suited to Valeo's Near Field Lidar system)
Back in August 2020 we had a BrainChip announcement that stated;
"MagikEye’s Invertible Light provides the smallest, fastest and most power-efficient 3D depth sensing. This is done using a standard CMOS image sensor and a regular dot projector along with a proprietary and patented technique to produce 3D point cloud data. Coupled with the Akida neuromorphic processor, the companies intend to jointly provide a total 3D vision solution to customers for fast 3D object detection and recognition in applications, including robotics, automotive and emerging consumer products, such as AR/VR and others. The MagikEye technology addresses the need for devices to see clearly and understand the surrounding environment, which is critical for new classes of 3D vision applications. The BrainChip Akida neuromorphic processor efficiently utilizes AI to gather new insights from the 3D data."
The terms of the agreement were stated as:
"This partnership is for one year and can be extended by mutual consent of the parties. It starts with joint marketing services to promote compatibility that could lead to customers for each company. The agreement does not define any material conditions that need to be satisfied by either company."
I would love to know if the partnership with Magik Eye has been extended. Does anyone know?
This paper and many others make clear there is nothing about infrared vision cameras that would preclude AKIDA technology being used to process these images:Thanks JK I could not remember the third one Ultrasound. I know I saw somewhere a reference to infrared technology and AKIDA and this would fit with the post by @Alfie above and the part I have extracted below. Will throw it over to the 1,000 Eyes and keep looking.
"From a technical standpoint, the facial recognition system works via near-infrared technology, to enable diver identification at night or in other unfavorable lighting conditions."
By the way I have no doubt AKIDA would work with infrared technology but it would be great to have a specific reference.
I might flick a question to Brainchip as well.
My opinion only DYOR
FF
AKIDA BALLISTA
This paper and many others make clear there is nothing about infrared vision cameras that would preclude AKIDA technology being used to process these images:
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My opinion only DYOR
FF
AKIDA BALLISTA