BRN Discussion Ongoing
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SharesForBrekky
Regular
May be of interest:
www.theverge.com
"The US federal circuit court has confirmed that AI systems cannot patent inventions because they are not human beings."
"Abbott told the publication: “It ignores the purpose of the Patent Act and the outcome that AI-generated inventions are now unpatentable in the United States. That is an outcome with real negative social consequences.”
AI systems can’t patent inventions, US federal circuit court confirms
The US federal circuit court has ruled that AI systems can’t hold patents. It’s the latest confirmation of this reading of the US Patent Act in a series of legal battles led by computer scientist Stephen Thaler.
"The US federal circuit court has confirmed that AI systems cannot patent inventions because they are not human beings."
"Abbott told the publication: “It ignores the purpose of the Patent Act and the outcome that AI-generated inventions are now unpatentable in the United States. That is an outcome with real negative social consequences.”
Makeme 2020
Regular
NVISO INKS TWO NEW AUTOMOTIVE DEALS
Subject: NVISO inks two new automotive deals
Dear Shane,
While the engineering team at NVISO has been hard at work (see BrainChip’s quarterly announcement on activities which offers huge potential in the Automotive EV space for in-cabin sensor monitoring), we are very pleased to see that commercial developments are also advancing successfully in parallel within the Automotive sector with Tier 1 and Tier 2 partners.
NVISO provides AI Solutions to premium Automotive OEMs looking to deliver the most robust safety features while innovating with convenience features for occupant monitoring systems. We are pleased to announce we have recently inked two new important automotive deals:
Automotive Tier 1 System Integrator: NVISO has successfully concluded a paid development license with a global automotive system integrator:
Automotive Tier 2 Semiconductor: NVISO has successfully executed a multi-year development license with a leading Tier2 automotive semiconductor vendor:
NVISO Human Behaviour AI as an indispensable component of intelligent driving and the smart cockpit of the future. Driven by a growing shift towards software defined automotive architectures and next generation in-vehicle computing platforms, OEMs are starting to move towards unlocking value through personalised and AI driven software. Some OEMs are even experimenting with “features on demand” to unlock new revenue streams with connected and EV vehicles.
Kind regards,
Timothy Llewellynn
Director
NVISO Australia Pty Ltd
(ACN 627 584 847)
Subject: NVISO inks two new automotive deals
Dear Shane,
While the engineering team at NVISO has been hard at work (see BrainChip’s quarterly announcement on activities which offers huge potential in the Automotive EV space for in-cabin sensor monitoring), we are very pleased to see that commercial developments are also advancing successfully in parallel within the Automotive sector with Tier 1 and Tier 2 partners.
NVISO provides AI Solutions to premium Automotive OEMs looking to deliver the most robust safety features while innovating with convenience features for occupant monitoring systems. We are pleased to announce we have recently inked two new important automotive deals:
Automotive Tier 1 System Integrator: NVISO has successfully concluded a paid development license with a global automotive system integrator:
- Targeting low power embedded hardware for intelligent cockpit applications.
- Allows system integrator to carry out demonstrations and pre-award work to secure design-wins with OEMs for embedding NVISO's Human Behaviour AI.
- Core component of the future of intelligent driving and smart cockpits.
Automotive Tier 2 Semiconductor: NVISO has successfully executed a multi-year development license with a leading Tier2 automotive semiconductor vendor:
- Access to low power edge computing software and hardware for porting of its Human Behaviour AI SDK to automotive grade platforms used by OEMs worldwide.
- Allows NVISO to continue to deliver easy to integrate AI Solutions directly for OEMs.
NVISO Human Behaviour AI as an indispensable component of intelligent driving and the smart cockpit of the future. Driven by a growing shift towards software defined automotive architectures and next generation in-vehicle computing platforms, OEMs are starting to move towards unlocking value through personalised and AI driven software. Some OEMs are even experimenting with “features on demand” to unlock new revenue streams with connected and EV vehicles.
Kind regards,
Timothy Llewellynn
Director
NVISO Australia Pty Ltd
(ACN 627 584 847)
Dhm
Regular
Hope you guys might be able to help me here. I am a retired banker so the BrainChip thing is amazing for me to understand (and most of I still don’t get) but being a shareholder is a privilege.
I am on holiday presently in Seville, and I met a bloke who is the CTO of The Linux Foundation in the US.
https://www.linuxfoundation.org/.
He is telling me of Open Source computing and how it is vital in the current evolution of computing. I suggested Brainchip was too, but was out of my depth in keeping up with him. Can anyone guide me to anything that might help my understanding of where Open Source fits in, and is it relevant to us?
Oh, I just heard Olivia Newton John just passed away. I am crying, especially with Judith Durham a few days ago
I am on holiday presently in Seville, and I met a bloke who is the CTO of The Linux Foundation in the US.
https://www.linuxfoundation.org/.
He is telling me of Open Source computing and how it is vital in the current evolution of computing. I suggested Brainchip was too, but was out of my depth in keeping up with him. Can anyone guide me to anything that might help my understanding of where Open Source fits in, and is it relevant to us?
Oh, I just heard Olivia Newton John just passed away. I am crying, especially with Judith Durham a few days ago
supersonic001
Regular
New Demo - BrainChip Demonstrates Gesture Recognition with Prophesee EV4 Development Camera https://lnkd.in/gGMMifUG #AI #neuromorphic #processor #IBMdataset | BrainChip
New Demo - BrainChip Demonstrates Gesture Recognition with Prophesee EV4 Development Camera https://lnkd.in/gGMMifUG #AI #neuromorphic #processor #IBMdataset
MDhere
Top 20
And Stable do you remember when @butcherano put up the slide on M33 it had the words SENSOR FUSION.Especially when it got down to discussing the ARM M33 which the Renesas CTO said we were going in. And the next post in that conversation had their phase 2 product on an M33.
Very exciting: I won’t be able to sleep tonight.
Congratulations everyone: to all those who waired patiently for all those years. Hopefully tomorrow will see some reward.
At the Agm i remember Sean using these exact words. i don't have the exact script notes but it was something like "Sensor Fusion" That's all that got slotted in my brain memory area but it was firmly planted there so your recent remention of Renesas air quality product, Butcheranos slides and @Diogenese producing no ogre and also mentioning m33 some time ago, I will go with yr hunch and add that we are the sensor fusion.
chef
Emerged
it's not an easy topic as you have to understand a lot of the nerd corner.Hope you guys might be able to help me here. I am a retired banker so the BrainChip thing is amazing for me to understand (and most of I still don’t get) but being a shareholder is a privilege.
I am on holiday presently in Seville, and I met a bloke who is the CTO of The Linux Foundation in the US.
https://www.linuxfoundation.org/.
He is telling me of Open Source computing and how it is vital in the current evolution of computing. I suggested Brainchip was too, but was out of my depth in keeping up with him. Can anyone guide me to anything that might help my understanding of where Open Source fits in, and is it relevant to us?
Oh, I just heard Olivia Newton John just passed away. I am crying, especially with Judith Durham a few days ago
random general summary: https://www.makeuseof.com/open-source-vs-closed-source-software-difference/
ARM vs RISC-V: https://www.digitaltrends.com/computing/arm-vs-risc-v/
a more precise question would be easier to answer
Slymeat
Move on, nothing to see.
That should be a sufficiently strong, and convincing, argument to dissuade people from buying the flood of EVs that will emanate from out of China. Remember Huwawai and the G5 fiasco. Once spyware was confirmed nations forbid importing their products.
Privacy should be on the top of everyone’s mind, and Akida can help assure this. That should be on a slogan somewhere!
Remove the fog, dissipate the cloud, improve privacy by keeping edge processing where it belongs.
The AIoT needs no uncontrolled, nor any constant, connection to the internet. Only connect when you chose to be securely connected for secure upgrades.
Stable Genius
Regular
Good morning @uiux
Is that a technical way of saying no, it’s not Akida?
If so, appreciate you keeping it real. It can be quite draining having to temper others expectations. So sorry about that!
If so forgive my exuberance. I was really just very happy for everyone involved: the founders; staff and us shareholders!
I’ll put my excitement back in it’s box, close the lid on it and wait patiently.
If this product doesn’t include Akida it’s not the end of the world.
Renesas have still licensed 2 nodes to release on an Arm M33 product with us at some stage as their CTO told us so!
Every days a fresh start, enjoy!
uiux
Regular
Was just highlighting this feature:
All algorithms feature an automated baseline
correction function, ensuring that the module can learn from its environment and distinguish elevated levels of gases under all conditions.
--
Which is interesting if the system relies on a neural network for it's classifications, learning on the edge perhaps?
Dozzaman1977
Regular
Slymeat
Move on, nothing to see.
Exactly @cosors, with cloud based systems, that simply upload the raw data, privacy is a real concern. Once the transmitted images are in “The Cloud” who the hell knows what can be done with them.
Akida-based sensors, or just sensors that interact with Akida, only deal with meta data. Internal one-shot training is used to locally store the metadata required to do internal facial recognition. But even then, only meta data is stored and the individuals are anonymously known as person-1, person-2 etc. It is only for demonstrable effect that these are labelled as “Rob”, “Anil” etc.
For obstacles outside the vehicle, no facial recognition is required. Once again Akida-based sensors need only transmit metadata describing the type of obstacle, location, and motion (helped by LTSM). And once again, none of this info needs to be sent external to the vehicle and only needs to be stored locally, and then only for a few seconds.
Even when considering the possibility of “black boxes” for EVs, they need only store data pertinent to vehicle logistics and response based on type of obstacles in the immediate area. And maybe an anonymised LiDAR map when an accident happens. But then we have dash cam for that also—these are deemed less invasive for their lack of connectedness also. And a person is liable if they chose to manually upload images.
An EV that uses only metadata and transmits NOTHING externally, should not be subject to this legislation. Akida should rule this space. Akida is THE ANSWER to this space!
Bring on the legislation I say. I’d love to see it enforced everywhere. One could even say, I want this privacy legislation being ubiquitous.
Earlyrelease
Regular
Stable
While I agree that it would be very nice for our soul to see the SP gain a bit or lot. What I take out of this if it is us is the fact the competitors for these products will know they are using our products. So apart from the trickle of revenue slowing growing into a river, the snowball effect of new potential customers swamping our company is what gives me a little grin on my dial as I sit on the train heading to my 9-5 for one of hopefully a limited few more times.
Stay strong and stay long chippers
Dozzaman1977
Regular
All the applications this Renesas ZMOD4410 sensor can be used for is endless.
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equanimous
Norse clairvoyant shapeshifter goddess
jtardif999
Regular
With all due respect to ARM I think that Akida technology is a little more specialised and sophisticated than ARMs low power reduced instruction chip technology. IMO this should enable BRN to command a much higher price for their IP in each chip sold. Time will tell I guess.If ARM's total revenue amounts to 9.7c per chip shipped, why would we be any different?
Steve10
Regular
If ARM's total revenue amounts to 9.7c per chip shipped, why would we be any different?
The ARM revenue averages out at 9.7c per chip as there would be many older IP low cost chips as compared to their newer IP high cost chips.
ARM Example Royalties | |
| IP | Royalty (% of chip cost) |
| ARM7/9/11 | 1.0% - 1.5% |
| ARM Cortex A-series | 1.5% - 2.0% |
| ARMv8 Based Cortex A-series | 2.0% and above |
| Mali GPU | 0.75% - 1.25% adder |
| Physical IP Package (POP) | 0.5% adder |
You can see above an old ARM 7/9/11 IP chip has 1-1.5% royalty whereas a newer ARMv8 Cortex IP chip has 2% and above. Newer IP ARM chips will also have adders such as 0.75-1.25% for the Mali GPU + 0.5% adder for POP. The 0.5% adder for POP is usually paid by the foundry such as TSMC.
If you look at ARM's customer list TSMC is one of them due to the POP royalties.
Brainchip being revolutionary new AI IP should have royalties similar to new IP ARM chips at 2% and above. If chip cost is $15 x 2% = 30c per chip.
Bravo
If ARM was an arm, BRN would be its biceps💪!
There is a suspicion that Brembo may be using Akida in their Sensify braking system. They've been testing and demonstrating the system on Teslas in the US.
www.drive.com.au
Tech giant cuts the brakes on future cars
Radical new Brembo brakes remove traditional lines and fuel
alwaysgreen
Top 20
I recall 50 cents per chip being thrown around a while back. Pretty sure it came from management but take this with a grain of salt as I can't be certain. I think it was at the same time they mentioned that royalties will also be dependant on the final cost or quantity of the product it is being utilised in. I'll try and dig up the comments.
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