BRN Discussion Ongoing

[Boab]

Lukas Timm (Automotive LIDAR Expert) • Follower:inBringing automotive LIDAR to market Love ASPICE Configuration Management @12 Min. •

It really took my breath the other day….

Reading about Innoviz Technologies and how they struck a 4 billion $ deal with Volkswagen AG and CARIAD as their system integrator!
And this all as #tier1!

I‘be been following automotive #lidar industrie’s progress very closely the last couple years. And I’ve noticed this shift of basically „startups“ becoming awarded tier1‘s starting literally from 0 with regards to processes, quality landscape etc…

Yet still they‘re beating well established rivals like Continental ZF Group Bosch etc….

Impressive and really signifying a paradigm shift in the whole industry. That have to watch out as fast moving new are taking their slots

Congrats to Omer David Keilaf and whole team at Innoviz Technologies

Yes, and after that announcement their share price went from $4 to $5.30 in the next 2 days. Wow.

 

[alwaysgreen]

Yes, and after that announcement their share price went from $4 to $5.30 in the next 2 days. Wow.

Even after the new contract, they are still only valued at around $1 billion .

 

[Boab]

Even after the new contract, they are still only valued at around $1 billion .

They only have 134 million shares

 

[Bigfella195]

I've been asked to post the following on our forum, I've put it all through the translator:

Where could the Akida chip technology be installed soon????

BrainChip Partners with Prophesee

BrainChip Partners with Prophesee Optimizing Computer Vision AI Performance and Efficiency

www.prophesee.ai

BrainChip partners with Prophesee to optimize the performance and efficiency of Computer Vision AI
Laguna Hills, California - June 14, 2022 - BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world's first commercial neuromorphic AI IP manufacturer, and Prophesee , the inventor of the world's most advanced neuromorphic vision systems, today announced a technology partnership that will provide next-generation platforms for OEMs looking to integrate event-based vision systems with high AI performance coupled with ultra-low-power technologies.

Inspired by human vision, Prophesee's technology uses a patented sensor design and AI algorithms that mimic the eye and brain to reveal what was previously invisible using standard frame-based technology. Prophesee's computer vision systems unlock new potential in areas such as autonomous vehicles, industrial automation, IoT, security and surveillance, and AR/VR.

Akida, BrainChip's first-to-market neuromorphic processor, mimics the human brain to analyze only the essential sensory inputs at the point of acquisition and process data with unprecedented efficiency, precision and power savings. Keeping AI/ML local to the chip, independent of the cloud, also drastically reduces latency.

"We successfully ported data from Prophesee's neuromorphic camera sensor to process inference on Akida with impressive performance," said Anil Mankar, co-founder and CDO of BrainChip. "This combination of intelligent vision sensors with Akida's ability to process data with unparalleled efficiency, precision and energy savings at the point of capture truly advances cutting-edge AI enablement, providing manufacturers with an out-of-the-box solution."

CAUTION!! Absolutely the most informative section of the report:

“By combining our Metavision solution with Akida-based IP, we are better able to provide a complete high-performance, ultra-low-power solution to OEMs looking to leverage edge-based visual technologies as part of their product offering,” said Luca Verre, CEO and co-founder of Prophesee.”

For more information on the BrainChip and Prophete partnership, contact sales@brainchip.com.

"We successfully ported data from Prophesee's neuromorphic camera sensor to process inference on Akida with impressive performance," said Anil Mankar, BrainChip co-founder and CDO. "This combination of intelligent vision sensors with Akida's ability to process data with unparalleled efficiency, precision and energy savings at the point of capture truly advances cutting-edge AI enablement, providing manufacturers with an out-of-the-box solution."

“By combining our Metavision solution with Akida-based IP, we are better able to provide a complete high-performance, ultra-low-power solution to OEMs looking to leverage edge-based visual technologies as part of their product offering,” said Luca Verre, CEO and co-founder of Prophesee."

Remember the keyword Metavision!!

Xperi Develops World-first Neuromorphic In-cabin Monitoring Technologies

Xperi develops world-first neuromorphic driver monitoring solution (DMS), powered by Prophesee Metavision® - Event-Based Vision sensor.

www.prophesee.ai

ABOUT PROPHESEE
Prophesee is the inventor of the world's most advanced neuromorphic vision systems.

The company has pioneered an event-based vision approach to machine vision. This new category of vision enables a significant reduction in power, latency and data processing requirements to reveal what was previously invisible to traditional frame-based sensors.

Prophesee's patented Metavision® sensors and algorithms mimic how the human eye and brain work to dramatically improve efficiency in areas such as autonomous vehicles, industrial automation, IoT, security and surveillance, and AR/VR.

Xperi Develops World-first Neuromorphic In-cabin Monitoring Technologies

Xperi develops world-first neuromorphic driver monitoring solution (DMS), powered by Prophesee Metavision® - Event-Based Vision sensor.

www.prophesee.ai

New sensor technologies complement the capabilities of standard vision systems, improve occupant safety, enable greater personalization and expand today's cabin experience into tomorrow's third room experience
CALABASAS, California – April 21, 2021 – DTS® , a global leader in next-generation audio, imaging and sensing technology and a wholly owned subsidiary of Xperi Holding Corporation (NASDAQ: XPER) (“Xperi”), today announced a global first neuromorphic driver monitoring solution (DMS) powered by Prophesee Metavision® – Event-Based Vision Sensor .

Using the raw data from the Metavision® – Event-Based Vision sensor, the DTS AutoSense* team developed key driver monitoring functions such as gaze tracking, head posture, identification and eyelid opening.

With more than 20 years of world-leading experience in neural solutions and computer vision, and with billions of products powered by their solutions, the Xperi team maps and adapts interior surveillance (ICM) technologies to existing and future sensor-centric trends .

“Intelligent sensing is required for the next-generation cabin experience. The key way to get there is an advanced research strategy focused on sensor fusion,” said Petronel Bigioi, Chief Technology Officer, Xperi. "DTS AutoSense's advanced research team is focused on cutting-edge sensing solutions, and neuromorphic sensing is one of the technologies that can shape the future of the industry."

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.
Xperi's implementation has 12 patents pending and relies on an end-to-end data generation and training system designed to take into account the specifics of the sensor. The training dataset was generated based on Xperi's extensive computer vision infrastructure, reusing ground truths from the visible and near-infrared spectrum, synthesizing a completely novel approach in neuromorphic recognition.

"Being able to instantly recognize the most subtle, almost imperceptible facial and eye movements can be life-saving," Petronel Bigioi said. "The powerful low-light imaging capabilities, fast response times, and low-power operation that enable this groundbreaking neuromorphism-based technology application make it ideal for the safety-critical applications of driver monitoring systems, while expanding the possibilities for further enhancement and personalization of the vehicle cabin."

Xperi uses Prohesee's Metavision products.
Take a look at the customer list at Xperi, all the well-known car manufacturers in the world are there!

Connected Car - Xperi

Xperi is transforming the automotive experience by bringing high-quality multimedia and personalization to the connected car, just like at home.

xperi.com

What do you think?

Thanks Sirod, really appreciate the post and the links. For me Xperi is the most exciting news since the Mercedes announcement.

 

[Diogenese]

Thanks Sirod, really appreciate the post and the links. For me Xperi is the most exciting news since the Mercedes announcement.

Hi Bigfella,

In my role as annoying wet blanket, I previously pointed out that a recent patent of Xperi (FotoNation) invented by Xperi's now CTO P Bigioi (formerly of FotoNation) is based on CNN.

In addition, the timing of the two announcements is relevant:
Xperi/Peophesee announcement dated April 21, 2021,
Prophesee/Akida dated 14 June 2022;

so it is improbable that the Xperi/Prophesee announcement would have encompassed Akida.

PS: That's not to say that Akida is forever beyond Xperi's reach, if they can overcome the NIHS (Not Invented Here Syndrome).

 

[Sirod69]

Fisker Ocean, built the first pre-series units. Sold-out launch edition​

05 August 2022

In total, the number of reservations for the Fisker Ocean - including those of the special launch edition - amounted to over 56,000 units as of August 1, 2022 . There are also more small details on PEAR , the second electric car that Fisker will build thanks to the collaboration with Foxconn. Apparently, it will be based on the SLV1 platform developed by Fisker whose specifications are not known at the moment. This car will be produced from 2024 at the Foxconn plant in Ohio (formerly Lordstown). Once fully operational, the aim is to produce 250,000 units per year of the PEAR model.

Fisker Ocean, costruiti i primi esemplari di pre-serie. Edizione di lancio sold-out | HDmotori.it

Tutto esaurito per l'edizione di lancio del SUV elettrico

www.hdmotori.it

 

[uiux]

Hi Bigfella,

In my role as annoying wet blanket, I previously pointed out that a recent patent of Xperi (FotoNation) invented by Xperi's now CTO P Bigioi (formerly of FotoNation) is based on CNN.

In addition, the timing of the two announcements is relevant:
Xperi/Peophesee announcement dated April 21, 2021,
Prophesee/Akida dated 14 June 2022;

so it is improbable that the Xperi/Prophesee announcement would have encompassed Akida.

View attachment 13443

PS: That's not to say that Akida is forever beyond Xperi's reach, if they can overcome the NIHS (Not Invented Here Syndrome).

"annoying wet blanket" lol




Always love reading your analysis Dio

 

[cassip]

Hi to all,
I was thinking of that beautiful Scottish golf-landcapes photos, that were posted here, when I read this (and I only hear "sensors" and "edge"):
"CalAmp’s firmware knowledge allowed FAIRWAYiQ to push its beeper functionality to the edge....Instead of waiting for the location data to travel to the cloud and back, the sensor begins to process it locally, so it knows almost immediately when a cart enters a restricted area."

Edge-To-Cloud Platform Helps Golf Course Intelligence Company Become a Market Leader

A flexible cloud platform and custom firmware from CalAmp enabled FAIRWAYiQ to simplify its technology stack and speed new features to market.

www.calamp.com

Could be Akida?
Have a good weekend.
Regards, cassip

 

[Fullmoonfever]

I wonder if we're still in Xilinks' good books.

https://brainchip.com/brainchip-int...n-of-neuromorphic-computing-brainchip-120917/

September 12, 2017

BrainChip Introduces World’s First Commercial Hardware Acceleration Of Neuromorphic Computing​

As the first commercial implementation of a hardware-accelerated spiking neural network system, BrainChip Accelerator is a significant milestone in the development of neuromorphic computing, a branch of artificial intelligence that simulates neuron functions. The processing is done by six BrainChip Accelerator cores in a Xilinx Kintex Ultrascale field-programmable gate array (FPGA). Each core performs fast, user-defined image scaling, spike generation, and spiking neural network comparison to recognize objects. Scaling images up and down increases the probability of finding objects, and due to the low-power characteristics of spiking neural networks, each core consumes approximately one watt while processing up to 100 frames per second. In comparison to GPU-accelerated deep learning classification neural networks like GoogleNet and AlexNet, this is a 7x improvement of frames/second/watt.

...

Christoph Fritsch, Senior Director for industrial, scientific and medical business at Xilinx, added, “Xilinx is at the forefront of artificial intelligence acceleration. BrainChip’s spiking neural network technology is unique in its ability to provide outstanding performance while avoiding the math intensive, power hungry, and high-cost downsides of deep learning in convolutional neural networks.”

Apparently Xilink is now called American Sun Components, and they have their fingers in lots of pies:

https://www.ascnow.com/what-we-do?msclkid=38f3bd13409a1221be92df938a18a7f3&gclid=

and have lots of friends:

View attachment 6680
especially in Texas.


Is it possible to have an avalanche on the tip of an iceberg?

@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.

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​

 

[cassip]

SP in Germany today: very low volume (39k), 0,7725 EUR (Tradegate), 15:28 pm

 

[Boab]

Yes, and after that announcement their share price went from $4 to $5.30 in the next 2 days. Wow.

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.
Other LiDar stocks have also lost big time.
Good night

 

[Diogenese]

@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.

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​

Hi Fmf,

Yes there are certainly many intersections with Akida.

Interesting that they mention ARM and RISC-V in the same breath when we have just announced partnerships with both (RISC-V via SiFive). I'm still trying to untangle some crossed synapses in my wetware which link RISC-V and ARM, which seems to have been triggered by the proximate temporal overlap of the partnerships of BrainChip with ARM and SiFive, and the fact that SiFive's newest processor had been relegated to equivalence with a 2 year old ARM processor - before SiFive announced the Akida connexion - which made the ARM/Akida link inevitable in my mind.

Looking at a recent Bosch NN patent, you can see why they would be interested in getting some more current state-of-the-art input.


US10735660B2 Method and device for object identification: Priority 20180217

[0014] According to one specific embodiment, the input data signals are read in an RGB format or YUV format in the step of reading in, the input data signals being read in, in particular, with a resolution of 12 bits or 16 bits per color channel. The bit depth in this case relates to the number of color shades per color or shades of gray. The raw input data signals from the camera are generally provided in 12-16 bits. This range may be reduced to 8 bits by various transformations adapted over time by the camera control. The adaptation of the 16 bits to 8 bits in this case takes place dynamically within various control loops. In principle, however, a higher resolution of 12-16 bits is available for the artificial intelligence of the neural network.

It would probably be a few times faster and more energy-efficient if they had a 4-bit processor, with negligible loss of accuracy.

 

[DingoBorat]

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

"Petronel has more than 250 granted and published U.S. and international patents to date"

This Petronel guy, sounds incredibly intelligent..

And thanks for bursting our bubble again Diogenese!

No really, thanks..

 

[DingoBorat]

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.

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..

 

[Dhm]

@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.

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​

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.
@cassip this is for you.

 

[alwaysgreen]

They only have 134 million shares

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.

 

[Deleted member 118]

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

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.

 

[Deleted member 118]

SiFiveが日本支社設立へ、いずれは開発も視野に（EE Times Japan） - Yahoo!ニュース

　SiFiveは、RISC-Vの開発者らによって設立された企業だ。現在、300以上のデザインウィンを獲得し、100社以上の顧客を持つ。2022年3月にはシリーズFラウンドで1億7500万米ドルを調達

news.yahoo.co.jp

Posted on yahoo 3 days ago, so hopefully it’s not old news

SiFive, a RISC-V processor core IP (Intellectual Property), is preparing to establish a Japanese corporation. It is expected that the establishment will be completed within the next week or two at the earliest. The president of SiFive Japan was Mr. Sam Rogan, who was the president of Xilinx (acquired by AMD) and CEO of Xilinx Japan. He is currently the Vice President of Japan and South Korea at SiFive.

RISC-V Core Growth Forecast [Click to Expand] Source: SiFive

In Japan, "RISC-V Day Tokyo" has been held since 2017. Why did you establish a Japanese corporation now? Jack Kang, Senior Vice President of Business Development, Customer Experience and Corporate Marketing at SiFive, at a press conference held in Tokyo on July 28, 2022, “We’ve been working with RIS We’ve been involved with Japanese customers in various ways, including C-V Day Tokyo, but we believe that the establishment of a Japanese corporation is the best time,” he said. Japanese customers are somewhat conservative, and I think some of them were looking at the importance of RISC-V and market trends. But now it's exactly the watershed of RISC-V, and the Japanese market is in a state of "prepared" for the adoption of RISC-V."

Rogan emphasises, “Although we are still visiting manufacturers in various industries from automotive to communications, RISC-V is very “receive”.”

At SiFive Japan, we will start selling and supporting RISC-V. Rogan said, “In the future, we are considering development as well. Japan is required to have very high quality, so we are also considering setting up a quality control department." In Japan, DTS Insight provides SiFive's IP, development boards, and services as the sole agent, but Rogan said that the agency agreement with DTS Insight will continue after the establishment of SiFive Japan.

SiFive is a company founded by developers of RISC-V. Currently, we have more than 300 design wins and have more than 100 customers. In March 2022, we raised US$175 million in Series F rounds, resulting in corporate value exceeding US$2.5 billion.

Although RISC-V is an open source ISA (instruction set architecture), it is also a great advantage to be able to cover various applications with a single ISA. Kang said: "Arm has released 17 ISAs over the last 16 years. RISC-V is a single ISA that can accommodate applications from small to large scale," he emphasises.

Currently, the processor family provided by SiFive is a 32-bit and 64-bit CPU core "Essential" for embedded applications, high-performance 64 for networking and infrastructure and enterprise Bit CPU core "Performance" and AI core "Intelligence" for training/inference in Edge AI (artificial intelligence) and cloud. There are 11, 4 and 2 product groups each. This is joined by the "Automotive" family, which is scheduled to be announced soon. Kang explains, “Compared to the same level of Armour core, the RISC-V core is 30-40% more power efficient,” Kang explains.

The growing RISC-V market

The RISC-V market is currently growing rapidly. Mr. Rogan says, "It's a high level of attention, especially in China and Korea." Furthermore, in China and India, we are supporting the introduction of RISC-V at the national level. The movement in China became the driving force for the formation of the RISC-V ecosystem" (Kang)

Semico Research predicts that a total of 62.4 billion RISC-V cores will be shipped by 2025. Shipments of SOCs (System on Chip) with RISC-V are expected to increase from 2020 to 2027, with an annual average annual growth rate of 73.6%. Kang said, "As we have already shipped 10 billion cores in the first half of 2022, it will probably be faster than 2025 to reach 62.4 billion."

The attention to RISC-V has increased with the announcement of the acquisition of ARM by NVIDIA. The acquisition was a breakthrough, but debates about the neutrality of CPU core vendors became vigourous, and many manufacturers began to look for “arm core alternatives.” Kang commented on this as "I think the sense of crisis has become apparent in the industry regarding the neutrality of CPU cores and ISA."

I wonder if Intel was also one of the manufacturers who felt such a sense of crisis. The company announced in February 2022 that it would join RISC-V International as a Premier (Premier) member. In addition, the development platform (development code: Horse Creek), which applies the "Intel 4" process, adopts the processor core "P550" which is the performance family of SiFive. Horse Creek is also scheduled to be released in late 2022.

Rogan emphasised that "SiFive has a chance." By establishing a Japanese corporation, we will contribute more strongly to Japanese customers."

 

[cassip]

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.
@cassip this is for you.
View attachment 13445

Thank you, Dhm, this is amazing

 

[Deleted member 118]

Interesting part in this other article I found (Intel 4)

Looks like it’s old news lol

SiFive Partners with Intel to Spark Innovation in High-Performance RISC-V Platforms

www.sifive.com

SiFiveが日本法人を開設、代表取締役社長にSam Rogan氏が就任

米SiFiveは7月28日に都内で記者会見を開催し、日本法人を近いうちに開設する事を発表した。

news.mynavi.jp

Also, the previous RISC-V International estimate was that a total of 60 billion RISC-V cores will be shipped by 2025, but recently it may be further revised upward and reach 100 billion. It was a story called Ru. Under these circumstances, SiFive's core is quite widely used. The most understandable one is Renesas, which announced in April 2021 that SiFive and the next-generation automotive processors will be jointly developed. Also, during Investor Meeting 2022, which was held in February this year, at the IFS (Intel Foundry Service), SiFive/Andes/Esperanto/Ventana Although it announced that it will support RISC-V IPs such as MicroSystems, in addition to this, SiFive announced that SoCs (codenamed Horse Creek) utilising P550 cores will be mass-produced in Intel 4. It's like announcing it.