BRN Discussion Ongoing

Sirod69

bavarian girl ;-)

Expanded access to Arm Virtual Hardware for the entire IoT ecosystem​


......
A little over a year ago, we extended the capabilities of AVH to address new uses cases and to enable a wider range of Arm processors and third-party hardware via Corellium’s hypervisor technology. This included adding hardware from partners NXP Semiconductors, STMicroelectronics and Raspberry Pi, as well as Arm models of Corstone-300, Corstone-310, and Cortex-M processors ranging from Cortex-M0 to Cortex-M33. Over the past year, hundreds of embedded and IoT developers across the Arm ecosystem have participated in a private beta with this powerful new AVH offering, incorporating it into their development workflows, CI/CD pipelines, IoT SaaS solutions, and development tools. Our private beta users have also provided invaluable feedback that has helped improve and enhance the AVH service.

Today we are pleased to announce that this service has transitioned from private beta to public beta and is now open to anyone with an Arm account to try out and use for commercial purposes. The public beta is available for a trial period of 30 days followed by a paid service based on usage per device-hour. Go to arm.com/virtual-hardware today to get started.
......
 
  • Like
  • Fire
  • Wow
Reactions: 19 users

Sirod69

bavarian girl ;-)
Are we inside?:unsure:

The Next Generation Smart Toothbrush with Neuton.ai

16. Mai 2023 17:00

Want to see a cool demo and learn some of the most innovative Tiny ML practices? Come to this Arm Tech Talk for a real-time demonstration of a next-gen smart toothbrush! The talk will feature a toothbrush tracking solution on a Smart Toothbrush leveraging Bosch’s BMI160 IMU and embedded to a PSoC 6 (Arm Сortex-M4) with an incredibly small total footprint of nearly 4 kb. This solution produced with Neuton.AI’s neural networks doesn't compromise functionality or quality while being the best in class when it comes to energy consumption. We will step into the next generation of smart devices while demonstrating how you can build solutions with complex functionality while consuming a minimum amount of energy and memory.

 
  • Like
  • Thinking
  • Haha
Reactions: 12 users

Bravo

If ARM was an arm, BRN would be its biceps💪!
Smart Eye making moves and I know from listening to a previous podcast/webinar of theirs that they explore and test a lot of different sensors.

Screen Shot 2023-05-11 at 11.04.15 pm.png
 
Last edited:
  • Like
  • Love
  • Fire
Reactions: 29 users

overpup

Regular
Are we inside?:unsure:

The Next Generation Smart Toothbrush with Neuton.ai

16. Mai 2023 17:00

Want to see a cool demo and learn some of the most innovative Tiny ML practices? Come to this Arm Tech Talk for a real-time demonstration of a next-gen smart toothbrush! The talk will feature a toothbrush tracking solution on a Smart Toothbrush leveraging Bosch’s BMI160 IMU and embedded to a PSoC 6 (Arm Сortex-M4) with an incredibly small total footprint of nearly 4 kb. This solution produced with Neuton.AI’s neural networks doesn't compromise functionality or quality while being the best in class when it comes to energy consumption. We will step into the next generation of smart devices while demonstrating how you can build solutions with complex functionality while consuming a minimum amount of energy and memory.

The BrainChip PCI Boards use M4's
1683817507689.png
 
  • Like
  • Fire
  • Thinking
Reactions: 24 users

Dallas

Regular
https://twitter.com/RenesasGlobal/status/1656660679909318656?t=w0yzhUyFey4Tvy0YZL5Ghw&s=19🥰🚀🙏🤖🤣🤠
 
  • Like
  • Fire
Reactions: 10 users

Glen

Regular
possible akida with m4 cortex
 
  • Like
Reactions: 5 users

Glen

Regular
  • Like
  • Thinking
Reactions: 7 users

Jchandel

Regular
Are we inside?:unsure:

The Next Generation Smart Toothbrush with Neuton.ai

16. Mai 2023 17:00

Want to see a cool demo and learn some of the most innovative Tiny ML practices? Come to this Arm Tech Talk for a real-time demonstration of a next-gen smart toothbrush! The talk will feature a toothbrush tracking solution on a Smart Toothbrush leveraging Bosch’s BMI160 IMU and embedded to a PSoC 6 (Arm Сortex-M4) with an incredibly small total footprint of nearly 4 kb. This solution produced with Neuton.AI’s neural networks doesn't compromise functionality or quality while being the best in class when it comes to energy consumption. We will step into the next generation of smart devices while demonstrating how you can build solutions with complex functionality while consuming a minimum amount of energy and memory.

Unfortunately not us, these guys use Syntiant/ Arduono NDP120
 
  • Like
  • Sad
Reactions: 5 users

stockduck

Regular
Sorry if mentioned before....maybe worth for reading:


Cadence Tools Paving the Way for the AI-at-the-Edge Transition​

10 May 2023 • 7 minute read
 
Last edited:
  • Like
Reactions: 3 users

IloveLamp

Top 20
  • Like
  • Thinking
Reactions: 7 users

stockduck

Regular
Sorry if mentioned before....maybe worth for reading:


Cadence Tools Paving the Way for the AI-at-the-Edge Transition​

10 May 2023 • 7 minute read

".....
Specialty technology is increasingly important: RF, CIS, PMIC, NVM, ULP, Auto (key: RF=radios, CIS=image sensors, PMIC=power management, NVM=non-volatile memory, ULP=ultra low power, auto=automotive).

Here are a few process names:

RF: N6RF, N6RF+, N4PRF (coming). Many customer tapeouts last year.

ULP: N22, N12e, N6e (coming).

....

But TSMC also invests in new variations on those processes too. In fact, TSMC's investment in specialty technology has grown (over the last 5 years) at a CAGR of 40%. For the first time ever, it is investing in building mature technology capacity and will expand by 1.5X over the next three years (this counts the TSMC/Sony/Denso fab in Kumamoto, Japan, which is all mature technology).

  • ULP solution. 55ULP, 40ULP, 22ULL (0.6-1V) N12e (0.45-1V), N6e.
  • RF connectivity. N6RF offers fast er performance with 49% power consumption reduction compared to 16FFC enhancement (benchmark half analog, half digital).
  • N4PRF most advanced RF CMOS technology. RF on top of logic for digital-intensive RF products. N4PRF vs N6RF logic density 1.77X, power reduction 45%
  • MCU is all about how to scale non-volatile memory. MRAM and RRAM in 28nm/22nm since 2019. 16/12nmsince 2022, and 6nm in planning.
  • 40RRAM And 28/22RRAM in volume production
  • 28RRAM achieves >10 years 125° retention (automotive grade)
  • 12RRAM to be released in 1Q2024
  • 22MRAM in production
  • 16MRAM consumer qualified in 2022, planned for automotive 2023.
  • Achieve >1M endurance cycle, 20 years 230 degrees retention.
  • Power management. Smart power IC drives BCD scaling.
    • N90 BCD+ since 2021.
    • N55 BCD+ SoI (pathfinding for automotive)
    • N50BCD+ with RRAM
  • CMOS image sensor. Resolution 50MP and beyond. Pixel size 11-1.4um. ISP (processor) N40 going to 12FFC.
  • Roadmap for CIS has two logic layers with advanced packaging. Allows for AI in the logic.
...."


What does this mean.....?
 
Last edited:
  • Like
Reactions: 2 users

Labsy

Regular
🤔😉👍

 
  • Like
Reactions: 22 users
I'm so bloody slow sometimes, only now it hit me that neuromorphic computing in a way solves the problem af scaling down the process node, by enabling more performance in different ways:
1) Now that we have such a low power consumption and dissipated heat, it must be possible to run them more agressively.
2) As I see it, neuromorphic computing lends itself perfectly to expanding the amount of silicon used, like connecting multiple chiplets to support greater models and/or running multiple models utilizing each other. They can even be stacked not to take up any significant space.
3) It's a young technology that is already beating the old technology and has a long runway of innovation ahead of it, like the jump from Akida 1 to 2. I bet that there's a vast space of possibilities to be explored, like hardware support for n-dimensional models.

While nVidia hit the brickwall and others are struggeling with Moores law, we just got started and are seemingly already way ahead of their Jetson.

So, now I think neuromorphic computing is going to be indespensable for future performance gains and it might branch out like the three suggestions above and combinations/more branches may appear.
 
  • Like
  • Fire
  • Love
Reactions: 55 users

buena suerte :-)

BOB Bank of Brainchip
  • Like
  • Fire
  • Love
Reactions: 26 users

mrgds

Regular
  • Like
  • Haha
Reactions: 12 users

Xhosa12345

Regular
If thats a "GIF " for the Unquoted Securities Announcement today, .................. very clever! :)
Yup sure was lol
 
  • Like
  • Haha
  • Love
Reactions: 7 users

davidfitz

Regular
Sorry if this has already been mentioned but I rarely visit the forum these days.


MANUFACTURING TECH DISRUPTOR OF THE YEAR

BrainChip Ltd. – Neuromorphic convolutional chip saves up to 97% of power while offering high performance Artificial Intelligence processing.

Phaos Technology

Porotech

SMARTECH Manewfacturing™ Technologies

MARCH 24​



Shortlist Announced



MAY 11​



Winners Announced

The Awards are judged by leading tech industry experts from around the world and judging is ethical, transparent and fair will all entrants receiving feedback on their submissions.
We didn't win in any of the 3 categories we were nominated for but I am happy to see the share price is holding up well despite any positive ASX announcements of late.
 
  • Like
  • Sad
  • Wow
Reactions: 13 users

MDhere

Regular
Megachips fiscal result comes out today 👍
 
  • Like
  • Fire
Reactions: 18 users
Top Bottom