Just had another look at the Innoviz share price graph. They were over $15 back in Dec 2020 so it has been a long haul for Share holders.Yes, and after that announcement their share price went from $4 to $5.30 in the next 2 days. Wow.
@Diogenese
Just did a keyword search for Xilinx and saw your post. Didn't realise we working with them back in 2017.
As you say, hope we're still in their good books somewhere in the background.
Catalyst for the word search was this job ad I just saw from a couple of weeks ago with Bosch. Not sure if posted previously.
The experience / knowledge area examples pretty much encompasses a lot of Akida connections and not saying has to do with us but Xilinx was the only one I didn't realise we had some history with.
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Research Engineer - Deployment of Machine Learning Algorithms for Embedded Systems (f/m/div.)
jobs.smartrecruiters.com
Research Engineer - Deployment of Machine Learning Algorithms for Embedded Systems (f/m/div.)
- Robert-Bosch-Campus 1, 71272 Renningen, Germany
- Full-time
- Legal Entity: Robert Bosch GmbH
Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. Welcome to Bosch.
The Robert Bosch GmbH is looking forward to your application!
Job Description
Machine Learning and especially Deep Learning algorithms play an important role for future advanced driver assistance systems. To deploy these algorithms in a fast and reliable way on hardware components, automatic software solutions for HW/SW co-design are essential.
- Within our team you evaluate compiler frameworks for modern algorithms (e.g. Deep Neural Networks (DNNs)), and hardware platforms (e.g. dedicated accelerators, vector processors).
- You map embedded AI algorithms, especially DNNs, onto virtual prototypes, digital embedded systems and disruptive future hardware-technologies such as in-memory and neuromorphic computing devices.
- Furthermore, you are responsible for adapting open-source compiler frameworks (e.g., TVM, MLIR, etc.) onto target-specific ISA.
- You work with first-class academic partners in international projects and supervise students.
- Last but not least, you scout deployment solutions for disruptive technologies such as in-memory and neuromorphic computing regarding their practical applicability in Bosch products.
Qualifications
- Education: excellent Master/Diploma/PhD degree in Information Technology, Computer Science or a related field
- Personality: highly motivated and open for innovative and disruptive ideas
- Working Practice: independent and proactive team player with goal oriented working style and strong communication skills
- Experience and Knowledge:
- expert background in digital technology, computer systems and systems-on-chip (e.g., Xilinx, ARM, RISC-V) as well as programming experience (Python, C/C++) are required
- very good understanding of Machine Learning and Deep Neural Network frameworks is desired (e.g., PyTorch, Keras, TensorFlow),
- experience with compiler technologies
- Enthusiasm: keen interest in future technologies and trends with passion for innovation
- Languages: very good in English and German (written and spoken)
Additional Information
Help us Boosting Bosch with AI.
Apply today at the Bosch Center for Artificial Intelligence in just 3 minutes!
https://www.bosch-ai.com
www.bosch.com/research
Please submit all relevant documents (incl. curriculum vitae, motivation letter, certificates).
You want to work remotely or part-time - we offer great opportunities for mobile working as well as different part-time models. Feel free to contact us.
Need support during your application?
Kathrin Stipak (Human Resources)
+49(711)811-38015
Need further information about the job?
Falk Rehm (Functional Department)
+49 (711)811-11827
Job Location
"Petronel has more than 250 granted and published U.S. and international patents to date"Hi Sirod,
A bit of digging on Xperi found no relevant patents, but a search for their CTO Petronel Bigioi found several patents, including:
US11361525B2 Electronic device for performing biometric identification
View attachment 13388
View attachment 13385
This patent, priority 2019, names Petronel Bigioi (PB) as inventor, but the owner is FotoNation, an Irish company. Now there could be two PBs, but it is possible PB now works for Xperi. There may also be a licence agreement (takeover?) between Xperi and Fotonation.
The photosensor plate combines the normal RGB pixels with infrared pixels.
Quoting PB
"The neuromorphic sensors capture information at an equivalent frame rate of 10,000 frames per second without the need for active lighting. This enables better low-light performance for driver monitoring functions, as well as unprecedented features such as saccadic eye movements or micro-expressions, critical next steps for next-generation passenger experiences."
The low-light conditions imply infrared, so it is highly probable that PB is talking about the FotoNation patents.
Xperi are working in the same area as nViso, but that would not necessarily exclude Xperi having an Akida licence.
Their blurb:
https://s201.q4cdn.com/428489777/fi...-for-Driver-and-Occupancy-Monitoring-2022.pdf
Xperi Launches Revolutionary Single Camera Solution for Driver and Occupancy Monitoring 1/5/2022
states that:
DTS AutoSense Single Camera Driver and Occupancy Sensing:
...
uses proprietary AI/ML technology to ensure the quality and reliability of drowsiness or attentiveness analytics
However, FotoNation has several other patents invented by PB, including:
EP3408798A1 A CONVOLUTIONAL NEURAL NETWORK dating from 2016
View attachment 13391
which relates to CNN and definitely does not use Akida.
Here is another trick which PB invented for biometric sensing:
US10310145B2 Image acquisition system
View attachment 13394
An image acquisition system for acquiring iris images for use in biometric recognition of a subject includes an optical system comprising a cluster of at least 2 lenses arranged in front of a common image sensor with each lens optical axis in parallel spaced apart relationship. Each lens has a fixed focus and a different aperture to provide a respective angular field of view. The lens with the closest focus has the smallest aperture and the lens with the farthest focus has the largest aperture so that iris images can be acquired across a focal range of at least from 200 mm to 300 mm.
So,
View attachment 13395
EDIT: Petronel Bigioi is from FotoNation:
https://investor.xperi.com/governan...x?ItemId=40b9411f-6d57-421e-84db-9edad7dde0d7
Petronel has more than 250 granted and published U.S. and international patents to date. Petronel is an IEEE fellow with over 20 years of experience in the digital still camera and mobile phone industries, working in both signal processing and connectivity. A co-founder of several successful companies (including FotoNation), he is also a pioneer of digital camera connectivity, a co-author and actively involved in the picture transfer protocol (PTP) and PTP-over-IP networks communication standards.
EDIT2: Fotonation bought by Tessera - Tessera changes name to Xperi.
Tessera to Acquire FotoNation
Jan. 31, 2008-Tessera Technologies, Inc. (Nasdaq:TSRA), a leading provider of miniaturization technologies for the electronics industry, today announced it has entered into a definitive agreement to acquire FotoNation, a leading provider of embedded imaging solutions for digital still camera and...investor.xperi.com
SAN JOSE, Calif.--(BUSINESS WIRE)--Jan. 31, 2008--Tessera Technologies, Inc. (Nasdaq:TSRA), a leading provider of miniaturization technologies for the electronics industry, today announced it has entered into a definitive agreement to acquire FotoNation, a leading provider of embedded imaging solutions for digital still camera and mobile phone applications.
https://investor.xperi.com/news/new...Name-Change-to-Xperi-Corporation/default.aspx
Tessera Holding Corporation Announces Name Change to Xperi Corporation
February 22, 2017
Hey Sly, the autonomous trap was a fake..I live outside a major metropolis, Ubers and taxis are bloody difficult to find at the best of times. Will this be better or worse with fully autonomous Uber? I expect they’ll be restricted to well-defined roads in the larger cities and don’t expect them to reach most parts of Australia. Not even outer suburbia.
Kids in Australia will be drawing salt lines around autonomous vehicles, and on roads, to trap them.
Autonomous trap
Hence, I firmly believe car manufacturers should concentrate on sensors that make driving safer and more pleasurable (as in less taxing driver assist type stuff), and not spend so much time on fully autonomous vehicles.
Will any sensor ever be able to solve the floating piece of plastic/floating balloon problem?
But I also know it will all come down to dollars and the “value of a life” figure insurance companies use.
I rang Rehm Falk at Bosch to see about any Akida type knowledge needed in the job description, but it went to voicemail. If Rehm returns my call I will report back. I’m still in Europe at present, back home soon.@Diogenese
Just did a keyword search for Xilinx and saw your post. Didn't realise we working with them back in 2017.
As you say, hope we're still in their good books somewhere in the background.
Catalyst for the word search was this job ad I just saw from a couple of weeks ago with Bosch. Not sure if posted previously.
The experience / knowledge area examples pretty much encompasses a lot of Akida connections and not saying has to do with us but Xilinx was the only one I didn't realise we had some history with.
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Research Engineer - Deployment of Machine Learning Algorithms for Embedded Systems (f/m/div.)
jobs.smartrecruiters.com
Research Engineer - Deployment of Machine Learning Algorithms for Embedded Systems (f/m/div.)
- Robert-Bosch-Campus 1, 71272 Renningen, Germany
- Full-time
- Legal Entity: Robert Bosch GmbH
Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. Welcome to Bosch.
The Robert Bosch GmbH is looking forward to your application!
Job Description
Machine Learning and especially Deep Learning algorithms play an important role for future advanced driver assistance systems. To deploy these algorithms in a fast and reliable way on hardware components, automatic software solutions for HW/SW co-design are essential.
- Within our team you evaluate compiler frameworks for modern algorithms (e.g. Deep Neural Networks (DNNs)), and hardware platforms (e.g. dedicated accelerators, vector processors).
- You map embedded AI algorithms, especially DNNs, onto virtual prototypes, digital embedded systems and disruptive future hardware-technologies such as in-memory and neuromorphic computing devices.
- Furthermore, you are responsible for adapting open-source compiler frameworks (e.g., TVM, MLIR, etc.) onto target-specific ISA.
- You work with first-class academic partners in international projects and supervise students.
- Last but not least, you scout deployment solutions for disruptive technologies such as in-memory and neuromorphic computing regarding their practical applicability in Bosch products.
Qualifications
- Education: excellent Master/Diploma/PhD degree in Information Technology, Computer Science or a related field
- Personality: highly motivated and open for innovative and disruptive ideas
- Working Practice: independent and proactive team player with goal oriented working style and strong communication skills
- Experience and Knowledge:
- expert background in digital technology, computer systems and systems-on-chip (e.g., Xilinx, ARM, RISC-V) as well as programming experience (Python, C/C++) are required
- very good understanding of Machine Learning and Deep Neural Network frameworks is desired (e.g., PyTorch, Keras, TensorFlow),
- experience with compiler technologies
- Enthusiasm: keen interest in future technologies and trends with passion for innovation
- Languages: very good in English and German (written and spoken)
Additional Information
Help us Boosting Bosch with AI.
Apply today at the Bosch Center for Artificial Intelligence in just 3 minutes!
https://www.bosch-ai.com
www.bosch.com/research
Please submit all relevant documents (incl. curriculum vitae, motivation letter, certificates).
You want to work remotely or part-time - we offer great opportunities for mobile working as well as different part-time models. Feel free to contact us.
Need support during your application?
Kathrin Stipak (Human Resources)
+49(711)811-38015
Need further information about the job?
Falk Rehm (Functional Department)
+49 (711)811-11827
Job Location
Not sure what you are pointing out here?They only have 134 million shares
At the beginning it was shorts go up our price goes down, now we are seeing an increase in shorts and our price is also going up, looks like they are well and truly buggered and can’t get the price down.Reporting of shorts look dodge.
Below is high of day and % shorts.
You will see a number of points there was big moves in reported aggregate shorts that doesn't add up.
Most recent blip in data is
5 July 2022 78,396,923
4 July 2022 90,784,894
1 July 2022 78,539,907
yes sure, it went from 78M outstanding to 90M back to 78M the next day.....
View attachment 13440
Thank you, Dhm, this is amazingI rang Rehm Falk at Bosch to see about any Akida type knowledge needed in the job description, but it went to voicemail. If Rehm returns my call I will report back. I’m still in Europe at present, back home soon.
@cassip this is for you.
View attachment 13445
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Embedded World 2022 – the RISC-V genie is out of the bottle
After 2 years of absence, Embedded World 2022 was a very interesting conference and RISC-V was everywhere. Summary.codasip.com
I was aware of what has been said about the floating plastic bag problem. My thoughts about it are purely based on the fact that the human mind can’t yet solve that problem, along with the floating balloon that may be accompanied by a child running after it. The later being the more important problem.Hey Sly, the autonomous trap was a fake..
And not sure if you know about, what's been previously said, I think by Peter?, but AKIDA2000 or "Next Gen" with LSTM, is supposed to be able to solve the floating plastic bag problem..
Innoviz seem to be a one trick pony or should I say Clydesdale. Back in late 2020 their market cap was over 2 billion so they have some catching up to do.Not sure what you are pointing out here?
It does make me kind of nervous that a company with significant contracts in place is valued at half our market cap.
Another mention in the Herald Sun today, I think the reporter might be having a bit of a dig at BRN and its current market cap... View attachment 13448