toasty
Regular
You are forgetting that MH's options lapsed some time ago. Once options have lapsed, that's it, they're gone. So this cannot possibly be the conversion of MH's options as they no longer exist.................
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
cosors
👀
Thank you! Very interesting to look at the person behind the holdings.
e.g. Rebecca Osseiran-Moisson · Curtin University · Western Australian Centre for Cancer and Palliative Care
or Paul Hunter Executive General Manager at Hunter Financial Solutions (WA) Pty Ltd t/as Hunter Insurance Solutions
Please read Ann: May 29th, 2023 issue of RSU for Manny per AGM vote, referenced to Ann Oct 14, 2022
GStocks123
Regular
I’ve never understood why BRN can’t release top tier demos with their current partners (or without dishonouring NDA’s)
If there are in fact “numerous NDA’s” active, why can’t this be provided to investors to prove we’re a top/leading competitor in the neuromorphic space??
Humble Genius
Regular
When I see stuff like this come out, I don't understand what we are waiting for.......
www.linkedin.com
The company has installed a prototype acoustic sensor system on a Tesla Model 3 and is developing a scoring model that will be able to predict potential malfunctions by the sound of the vehicle.
The next step for V2M, based in New York, is to purchase two vehicles with internal combustion engines and one hybrid vehicle for product testing to show that the product is equally suitable for every type of car/engine.
Data shows that 27% of malfunctions that led to accidents could be prevented if the noise car was making were noticed and recognized on time.
The ultimate aim is to work with Tier 1 automakers to create a one-time implementation into the vehicle as a part of the standard equipment.
The V2M team has developed a methodology based on a multilayer neural network that determines the presence of patterns of faulty sound and concludes which malfunction is on board. The system recognizes malfunction sounds even when the car is on the road loaded with noise.
One MEMS microphone is located in front of the car, the second in the back and both sensors are connected to the multiplexer board via an I2S link. A third sensor in a middle of the car. The software detects the sound and concludes what type of malfunction is occurring with 98% accuracy within 2s.
The system then notifies the driver (or somebody else, it depends of the client) about the malfunction and completes a report.
Initially the system is connected to the cloud via an eSIM but V2M also could be 100% on-board system without any kind of M2M communications.
www.v2minc.com
www.eenewseurope.com
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V2M in the US has developed AI-based acoustic sensor monitoring to detect faults in all kinds of vehicles for preventive maintenance.
The company has installed a prototype acoustic sensor system on a Tesla Model 3 and is developing a scoring model that will be able to predict potential malfunctions by the sound of the vehicle.
The next step for V2M, based in New York, is to purchase two vehicles with internal combustion engines and one hybrid vehicle for product testing to show that the product is equally suitable for every type of car/engine.
Data shows that 27% of malfunctions that led to accidents could be prevented if the noise car was making were noticed and recognized on time.
- Infineon leads EU project developing future ‘digital ear’
- Sensata partners with Nanoprecise on AI driven predictive maintenance
- Improving uptime in industrial robotic systems
The ultimate aim is to work with Tier 1 automakers to create a one-time implementation into the vehicle as a part of the standard equipment.
The V2M team has developed a methodology based on a multilayer neural network that determines the presence of patterns of faulty sound and concludes which malfunction is on board. The system recognizes malfunction sounds even when the car is on the road loaded with noise.
One MEMS microphone is located in front of the car, the second in the back and both sensors are connected to the multiplexer board via an I2S link. A third sensor in a middle of the car. The software detects the sound and concludes what type of malfunction is occurring with 98% accuracy within 2s.
The system then notifies the driver (or somebody else, it depends of the client) about the malfunction and completes a report.
Initially the system is connected to the cloud via an eSIM but V2M also could be 100% on-board system without any kind of M2M communications.
www.v2minc.com
AI diagnoses a vehicle by its sound
V2M has installed a prototype AI acoustic sensor system on a Tesla Model 3 to predict potential malfunctions by the sound of the vehicle.
www.eenewseurope.com
JoMo68
Regular
I was getting worried that we hadn’t heard from you for a while. Glad you’re backHowdy All,
Here's an article from Samsung Newsroom, dated 1 September 2022. I found the description of the relationship between Arm and Samsung EXTREMELY INTERESTING!
View attachment 39274
[All About Exynos] ② An Upgraded Mobile Experience: The Important Role of CPU and NPU in Smartphones
Equipped With a Brain That Surpasses Computers: Strengthening Cooperation With for CPU In this second series installment, Samsung Newsroomnews.samsung.com
JoMo68
Regular
Why was he banned? I still haven’t figured out who the other Jekyl/Hyde person was who is also now banned. I must be a bit slow…
robsmark
Regular
I’m not sure to be honest.
Fullmoonfever
Top 20
From the TCS 22/23 Ann Report release early June.
No reference to BRN directly however if we are to still believe we are connected (joint presso was like end 2019) then the neuromorphic references woulda, shoulda, coulda imply Akida
The Company expanded its space tech research, working on on-board computing for remote sensing satellites to reduce data and bandwidth for ground communication; it is also leveraging neuromorphic computing for low power computing at the edge. In the area of embedded devices and intelligent systems, research continued solving
customer problems in machine, material, infrastructure, and people sensing, using AIoT and edge computing.
Teams also worked on meta materials for next gen communications, computational sensing/imaging and neuromorphic computing.
Full report HERE
No reference to BRN directly however if we are to still believe we are connected (joint presso was like end 2019) then the neuromorphic references woulda, shoulda, coulda imply Akida
The Company expanded its space tech research, working on on-board computing for remote sensing satellites to reduce data and bandwidth for ground communication; it is also leveraging neuromorphic computing for low power computing at the edge. In the area of embedded devices and intelligent systems, research continued solving
customer problems in machine, material, infrastructure, and people sensing, using AIoT and edge computing.
Teams also worked on meta materials for next gen communications, computational sensing/imaging and neuromorphic computing.
Full report HERE
S
Straw
Guest
'The V2M team has developed a methodology based on a multilayer neural network that determines the presence of patterns of faulty sound and concludes which malfunction is on board. The system recognizes malfunction sounds even when the car is on the road loaded with noise.'When I see stuff like this come out, I don't understand what we are waiting for.......
LinkedIn Login, Sign in | LinkedIn
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View attachment 39307
V2M in the US has developed AI-based acoustic sensor monitoring to detect faults in all kinds of vehicles for preventive maintenance.
The company has installed a prototype acoustic sensor system on a Tesla Model 3 and is developing a scoring model that will be able to predict potential malfunctions by the sound of the vehicle.
The next step for V2M, based in New York, is to purchase two vehicles with internal combustion engines and one hybrid vehicle for product testing to show that the product is equally suitable for every type of car/engine.
Data shows that 27% of malfunctions that led to accidents could be prevented if the noise car was making were noticed and recognized on time.
“In the past I was a racing driver. In the summer of 2019 in front of my eyes the car crashed and burned (I was after two cars behind). Unfortunately, the driver died. His car had a malfunction with the rear axle. It’s a common case and for sure it had a noisy before finally jamming. Our solution could have saved his life,” said Peter Bakulov, CEO of V2M.
- Infineon leads EU project developing future ‘digital ear’
- Sensata partners with Nanoprecise on AI driven predictive maintenance
- Improving uptime in industrial robotic systems
The ultimate aim is to work with Tier 1 automakers to create a one-time implementation into the vehicle as a part of the standard equipment.
The V2M team has developed a methodology based on a multilayer neural network that determines the presence of patterns of faulty sound and concludes which malfunction is on board. The system recognizes malfunction sounds even when the car is on the road loaded with noise.
One MEMS microphone is located in front of the car, the second in the back and both sensors are connected to the multiplexer board via an I2S link. A third sensor in a middle of the car. The software detects the sound and concludes what type of malfunction is occurring with 98% accuracy within 2s.
The system then notifies the driver (or somebody else, it depends of the client) about the malfunction and completes a report.
Initially the system is connected to the cloud via an eSIM but V2M also could be 100% on-board system without any kind of M2M communications.
www.v2minc.com
AI diagnoses a vehicle by its sound
V2M has installed a prototype AI acoustic sensor system on a Tesla Model 3 to predict potential malfunctions by the sound of the vehicle.
I am not at all suggesting that Akida is at all involved. However I think it illustrates a phrasing format where a mostly 'silent' ubiquitous enabling tech can be utilised by numerous unrelated OEM's, eg ARM
I've asked numerous people if they know who ARM is and they had no idea.
Quite possibly I'm full of shit but it's just a thought after what was said at the AGM.
Last edited by a moderator:
Frangipani
Regular
Hey @TopCat, I reckon I’ve got exciting news to share! Keep your paws crossed that our sleuthing skills will soon be validated by an official announcement - I can already hear you happily purring away!
I only just found the time to watch the recorded CVPR 2023 Workshop presentations by Kynan Eng (CEO of iniVation) and Nandan Nayampally - they both have such wonderfully soothing voices, by the way.
The mosaic of conjecture we’ve both been creating over the past couple of weeks is almost complete; here are two more tiles to lay, one of them a shiny golden one.
While the videos’ tech content is way above my pay grade, both presentations were quite illuminating, nevertheless! Let me share with you what piqued my interest:
I first watched Kynan Eng’s talk on iniVation’s new Aeveon sensor:
The wallaby featured on the iniVation website must have hopped away and is now presumably roaming freely somewhere around Lake Zurich, as it didn’t make an appearance during the presentation. Instead, it had been substituted by a beautiful, iridescent hummingbird, legendary for its rapid wing beat, which is notoriously difficult to capture on regular camera without blurring.
Watch from 8 min onwards, where Kynan Eng starts to talk about the new, soon-to-be released Aeveon sensor:
„What‘s important to note here is, this is mainly digital. We‘ve moved quite a distance away from the analog circuit in current DVS pixels…“
And from 10:45 min onwards: „So the chip doesn’t exist, yet. We are getting very close to the first tape-out of it now, but because it is in digital, we are able to create an emulator for this, for the chip.”
Well, I immediately took a liking to the sound of “digital”, especially since Synsense, iniVation’s sister start-up and partner for their Speck SoC, is into analog SNNs, but it got even better, when I then listened to Nandan Nayampally’s virtual presentation (which explains why he was nowhere to be seen in the CVPR 2023 Workshop group photo - I had actually hoped to spot him next to the likes of Kynan Eng, Tobi Delbrück or André van Schaik, which could have hinted at the fact that he was in conversation with one of them just before the group photo was taken. Clever idea of mine, eh?!)
Just over a minute into the presentation, I couldn’t believe my ears: “Let me start with the key technology changes that we are making to support our partners like Prophesee, iniVation and other folks that are building not only event-based solutions…”
WHAT???!!! My real-time auditory sensor processing DID get that right, didn’t it?! Listen for yourself and correct me if I’m wrong…
Did he really just let slip that iniVation is indeed a Brainchip partner?!
They obviously didn’t get listed under “partners” on the “Brainchip at a glance” presentation slide, as there hasn’t been any official announcement so far, but IMO this (unintentionally) revealing statement strongly supports our hypothesis.
Admittedly, it could have been a lapsus linguae, a disclosure of our Brainchip CMO’s secretly harboured wish of teaming up with iniVation, but honestly, how probable is that?! Much more likely it was an inadvertent divulgence in front of a small audience of computer vision researchers, plus the Aeveon sensor screams Akida, doesn’t it?
I suppose we’ll find out soon, as “we are getting very close to the first tape-out” of the new wonder chip.
My opinion only, DYOR.
Good Morning Chippers,
RENESAS locking in wafer material.
Slooooooowly but surely.
Regards,
Esq.
RENESAS locking in wafer material.
Renesas and Wolfspeed Sign 10 Year Silicon Carbide Wafer Supply Agreement
Announced a wafer supply agreement and $2 bn deposit by Renesas to secure a 10 year supply commitment of silicon carbide wafers from Wolfspeed.
www.businesswire.com
Slooooooowly but surely.
Regards,
Esq.
That's what I call "right on the money" all the staff obviously know with whom we are dealing, so as in Nandan's case his subconscious was
talking to us....nice observations on your part, you got us
Good Morning Frangipani,
Top sleuthing, all very exciting.
Looking at their locations around the world , Australia certainly looks busy in all the right place's.
I have now included them on my list.
* From an investing framework point of view that now makes.. 32 GREEN FLAGS.
. Regards,
Esq.
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AMD Instinct MI300 is THE Chance to Chip into NVIDIA AI Share
The AMD Instinct MI300 is a family of CPU and GPU offerings that embodies a next-generation approach for AI and high-performance computing
MDhere
Regular
Find the below addition to Brainchip interesting. From Leapmind to Brainchip and Ceos recent visit to Japan.
Katsutoshi Yamazaki. ( He did get a mention a while back in april in here but i thought i would bring him to the forefront again as I am sure his addition is a important piece of the puzzle.
Katsutoshi Yamazaki. ( He did get a mention a while back in april in here but i thought i would bring him to the forefront again as I am sure his addition is a important piece of the puzzle.
Tothemoon24
Top 20
With Brainchip making a move recently into Israel , this grabbed my attention
www-timesofisrael-com.cdn.ampproject.org
Startup to build factory for 'wearable' that tracks oxygen consumption through sweat | The Times of Israel
www-timesofisrael-com.cdn.ampproject.org
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