BRN Discussion Ongoing

Diogenese

Top 20
An offer too good to refuse ...

https://www.linkedin.com/in/sally-ward-foxton-663a883/?originalSubdomain=uk

Sally Ward-Foxton
@sallywf
Hold on to your hats: The AI Hardware Summit is coming to LONDON in 2024! Excited forthis event on home turf and looking forward to showing some of you around my favourite pubs. Oh, and I may also be appearing on stage at some point.


See you there!
lnkd.in/es2EBsDr
 
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Mccabe84

Regular
Not to sure if this has been posted here but this is from BRN Facebook group
IMG_6228.jpeg
 
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Taproot

Regular
Yes great technology, but is it BrainChip?
No,
In - Cabin monitoring gaining some media attention.
It's just a taste of things to come.
Every vehicle on the planet will have this tech incorporated at some point.
BrainChip will play a part in such tech.
To what degree is anyone's guess.
1% should take us to promised land.
 
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What are the chances, that we have relationships with all the Company's on that graphic? 🤔...

or, ....is it more about the implied nature of ARM being powered by Brainchip !! which in turn has the relationship / partnering with ALL these companies...

i love the tag line ...... ""stealthily powered by Brainchip"" (low this low that...... you know the rest !)
 
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or, ....is it more about the implied nature of ARM being powered by Brainchip !! which in turn has the relationship / partnering with ALL these companies...

i love the tag line ...... ""stealthily powered by Brainchip"" (low this low that...... you know the rest !)
"(low this low that...... you know the rest !)"

Actually, you've lost me there 🤔...

But yeah, the graphic strongly implies that..

We've known about Renesas, now Infineon.
We are/have been working shoulder to shoulder with NVIDIA (on the Mercedes EQXX at the very least).

None of the other Companies, are out of the question...

Looks like BrainChip, is giving this "Ubiquitous" thing, a good crack! 😉
 
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Slade

Top 20
Just to add to what you’re saying FF-

We know Brainchip are their first strategic IP partner, we know they love us, the CRO of edge impulse has said he sees us being adopted by every silicon vendor.
I encourage everybody to look at these 3 screenshots I am going to post.

View attachment 56809 View attachment 56810 View attachment 56812
Thank you for sharing this Jesse. This is very significant. Grouping Arm with BrainChip and placing them at the side of the graph is significant. Nvidia is not competition for BrainChip. Akida is the add on that is going to supercharge ARM and Nvidia’s AI offerings. We are Ubiquitous (edit: just read Dio’s post below… I meant versatile, ubiquitous can come later).
This is a very beautiful plan that is unfolding before our eyes. I better stop, I’m getting teary.
 
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Adam82

Member
No,
In - Cabin monitoring gaining some media attention.
It's just a taste of things to come.
Every vehicle on the planet will have this tech incorporated at some point.
BrainChip will play a part in such tech.
To what degree is anyone's guess.
1% should take us to promised land.
 

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Diogenese

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"(low this low that...... you know the rest !)"

Actually, you've lost me there 🤔...

But yeah, the graphic strongly implies that..

We've known about Renesas, now Infineon.
We are/have been working shoulder to shoulder with NVIDIA (on the Mercedes EQXX at the very least).

None of the other Companies, are out of the question...

Looks like BrainChip, is giving this "Ubiquitous" thing, a good crack! 😉
Hi DB,

Going ubiquitous will take time.

If we are working with ARM, Intel, Nvidia, Tata ..., they have in-house NN expertise and may not need too much support, but providing the support they need will be critical to success.

Then there are companies like Valeo, Prophesee, etc, who have a fair understanding of NNs, but not to the same level as the first group, so they will need additional support. We have joint development projects with many of these.

After them, there are those who understand the advantages of NNs, but do not have any real in-house expertise, and these will require much more support.

BRN will no doubt be guarding against spreading itself too thinly, as it would be difficult to find sufficient staff with the requisite expertise. The BrainChip University program will in time go some way to addressing the shortfall and spreading the skills throughout industry.

I haven't seen any more recent employment numbers or the breakdown of tasks since we hit about 80.

A lot of the support work will be in providing appropriate data models for the customer projects. This may involve converting existing CNN models to SNN (CNN2SNN), and tweaking these models for the specific purpose, or it may involve producing new models which is a quite intensive undertaking.

When we achieve ubiquity, the customers will be producing their own SNN models.
 
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Hi DB,

Going ubiquitous will take time.

If we are working with ARM, Intel, Nvidia, Tata ..., they have in-house NN expertise and may not need too much support, but providing the support they need will be critical to success.

Then there are companies like Valeo, Prophesee, etc, who have a fair understanding of NNs, but not to the same level as the first group, so they will need additional support. We have joint development projects with many of these.

After them, there are those who understand the advantages of NNs, but do not have any real in-house expertise, and these will require much more support.

BRN will no doubt be guarding against spreading itself too thinly, as it would be difficult to find sufficient staff with the requisite expertise. The BrainChip University program will in time go some way to addressing the shortfall and spreading the skills throughout industry.

I haven't seen any more recent employment numbers or the breakdown of tasks since we hit about 80.

A lot of the support work will be in providing appropriate data models for the customer projects. This may involve converting existing CNN models to SNN (CNN2SNN), and tweaking these models for the specific purpose, or it may involve producing new models which is a quite intensive undertaking.

When we achieve ubiquity, the customers will be producing their own SNN models.
 
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Earlyrelease

Regular
Nvidia TAO -Taking Akida Onboard
 
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White Horse

Regular
Hi all,
I noticed a late trade of 500k at 4.28 PM.
I wonder what tomorrow has in store.?
 
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Boab

I wish I could paint like Vincent
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View attachment 56872

Just on Teksun.

Webinar from about a week ago gives a great insight to their algo Dev work for NPU, GPU etc.

Around 22 min mark I liked the real time face detection product on the edge no cloud....hmmmm.






Also, can see on the Indian copyright site I've posted before, they've got a lot of recent lodgement activity on the Telep system including AI aspects.

On phone so hard to post snips as a lot of companies but link below and just search Teksun as a keyword not via the sites search bar.


Oh...and must say, great week so far.

Work just been crazy so skim reading as I could.
 
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MDhere

Regular
What are the chances, that we have relationships with all the Company's on that graphic? 🤔...
Very high! as you can see our name tied together with Arm in the bottom right corner.
 
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cosors

👀
TMH, owned by HC, did that exact thing, when they pinned a trashy write up, to the top of the forum thread, smearing BrainChip and loaded with underhanded, skewed interpretations, on how the Company was run and what it had to offer.

It made a Motley Fool article, look like a respected publication.

The end result of which, produced this forum 👍
They (TMH) have changed their name in the hope that it will help.)

In November 2023, the company announced it would rebrand to The Market Limited
https://en.wikipedia.org/wiki/hotcrapper
 
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As everyone is going on so much about Arm

 
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Tothemoon24

Top 20

IMG_8373.jpeg

Chiplets are emerging as a key solution to the ever more complex AI-accelerated computing landscape.

To accelerate the chiplet market, we're excited to announce two new initiatives to deliver the common frameworks:
✨ Arm Chiplet System Architecture (Arm CSA) to enable greater use of components between suppliers to cover multiple markets from mobile to automotive
✨ Updating AMBA to standardize protocols for chiplets

Our investments in AMBA and Arm CSA will enable partners to decompose Arm-based systems across multiple chiplets. While mass market adoption of chiplets will take time, the Arm platform is enabling the chiplet ecosystem today. We're looking to the future of the market, built

Arm Ecosystem Collaborates on Standards to Enable a Thriving Chiplet Market​

Arm and ecosystem partners are looking to accelerate the next evolution of silicon.


key challenge our partners are consistently looking to solve is: How can we continue to push performance boundaries, with maximum efficiency, while managing costs associated with manufacturing and yield? Today, as the ever more complex AI-accelerated computing landscape evolves, a key solution emerging is chiplets.

Chiplets are designed to be combined to create larger and more complex systems that can be packaged and sold as a single solution, made of a number of smaller dies instead of one single larger monolithic die. This creates interesting new design possibilities, with one of the most exciting being a potential route to custom silicon for manufacturers who historically chose off-the-shelf solutions. The excitement is focused on the concept of composability – putting together a bespoke complete solution by reusing a set of existing or standardized chiplets, each optimized for cost-performance. This reusability and standardization can lead to a multi-vendor chiplet supply chain that could enable both new and existing players to access performance and differentiation opportunities.

Delivering the common frameworks required to accelerate the chiplet market​

To realize this opportunity, designers will need alignment on many non-differentiating choices in chiplet partitioning, and the associated impact on interface standardization. A common framework is needed to enable the next generation of silicon designers, and requires significant and focused collaboration and investment. Today I’m excited to provide updates on two new initiatives that will help to deliver this framework:

  • Arm Chiplet System Architecture (CSA): Arm and a group of more than 20 partners are analyzing and defining optimal partitioning choices for chiplet-based systems. The goal is to develop the Arm Chiplet System Architecture (CSA), which will enable greater reuse of components (physical design IP, soft IP etc) between multiple suppliers. The group covers multiple market segments from mobile to automotive to infrastructure, exploring how we can better standardize around system design choices for different chiplet types, such as how to partition an Arm-based system across multiple chiplets, or their high-level properties (e.g. requirements for system memory or a Root of Trust).
  • Updating AMBA to standardize protocols for chiplets: For more than 27 years, AMBA has been a foundational open industry standard. AMBA specifications like AXI and CHI have been used in billions of devices.
    • AMBA CHI is high speed, credited, and packetized, which makes it ideal for chiplets. The previously announcedAMBA CHI C2C specification leverages the existing on-chip CHI protocol and defines how it is packetized, enabling it to be transported chip(let)-to-chip(let). We’re pleased to share today that the open specification is now formally released, after collaboration with a diverse set of partners across the industry. You can read more in this blog.
    • There are several existing AXI-based designs that are critical to enable in chiplets. We’ve committed to deliver an open AXI C2C specification that can be adopted by silicon vendors currently enjoying the benefits of AXI in their single chip designs.

Complex Problems Need Collaboration​

Our investments into AMBA and CSA will enable partners to decompose an Arm-based system across multiple chiplets, in the same way a monolithic chip is composed of IP blocks. Alongside these new standards, there are several Arm-specific and industry-wide layers we need to continue to collaborate on:

  • Physical layer: Industry standards. such as UCIe, are needed to define the physical layer for transporting data between chiplets within a package (for AMBA, PCIe and other protocols) and other non-differentiating aspects of system aggregation from chiplets.
  • Protocols: We expect industry standard protocols, such as PCIe and CXL, alongside on-SoC interconnect protocols like AMBA, to enable the market to aggregate well-defined peripherals from across a motherboard into a package.
  • High-level properties and partitioning: For Arm-based systems using AMBA protocols, there is an infinite flexibility to disaggregate the SoC into chiplets. CSA will help the Arm-ecosystem to reach consensus around the most valuable partitioning schemes to reduce fragmentation.

A diverse chiplet market, built on Arm​

While mass market adoption of chiplets is likely to take many years to reach mass-market adoption, we’re excited by the potential these standards have to expedite the journey towards chiplet-based systems. The flexibility of the Arm platform is enabling the emerging chiplet ecosystem today – it’s a natural progression in our heritage of enabling partners to build custom silicon solutions quickly with the flexibility they need. As we continue to deliver the compute, performance efficiency and software solutions the industry demands in an increasingly complex landscape, we are bringing the ecosystem together around new critical standards and programs, like the recently announced Arm Total Design, that will enable a thriving, diverse chiplet ecosystem built on Arm.

To get involved in Arm CSA, partners can reach out to csa-feedback@arm.com.
 
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