wilzy123
Founding Member
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BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
This is the warning I got :
Dreddb0t: I am the law. Your post has been moderated, and you've been warned. Read the rules again and be vigilant - any further transgressions will lead to an automatic ban. Remember, ignorance is not an excuse.
Reason: The post contains a link to an external website without any context or explanation. This is considered spamming and is not allowed in the forum.
So posting a link is not good enough, you need to add context or explanation ....
wilzy123
Founding Member
I missed a letter ("t") in my highlighted response. Whoops. Doesn't change my response though.
You are 100% incorrect in saying there are rules for some and not for others on this forum.
By contrast, the crapper maintains a moderation behaviour that is inconsistent with their stated one, hence my comment.
If you continue with your tirade, this will not bode well for you here.
I was looking for Scarince.
That's funny. I just did a post about Wevolver's 2023 Edge AI technology Report which has a whole page on Akida in Chapter X: The Future of AI
https://www.wevolver.com/
but it's disappeared.
It refers to the Tensor NASA SBIR:
https://sbir.nasa.gov/SBIR/abstracts/20/sbir/phase1/SBIR-20-1-H6.22-6631.html
This led NASA to select BrainChip’s first silicon platform in 2021 to demonstrate in-space autonomy and cognition in one of the most extreme power- and thermalyly-constrained applications.
Similarly, Mercedes Benz demonstrated BrainChip in their EQXX concept vehicle that can go over 1000 km on a single charge.
In the latest generation, Brainchip has taken another big step of adding Temporal Event Based Neural Nets (TENNs) and complementary separable 3D convolutions that speed up some complex time-series data applications by 500x while radically reducing model size and footprint, but without compromising accuracy.
This enables a new class of compact, cost-effective devices to support high-res video object detection, security/ surveillance, audio, health, and industrial applications. While neuromorphic computing is still discussed as a future paradigm, BrainChip is already bringing this paradigm to market.
https://www.wevolver.com/
but it's disappeared.
It refers to the Tensor NASA SBIR:
https://sbir.nasa.gov/SBIR/abstracts/20/sbir/phase1/SBIR-20-1-H6.22-6631.html
This led NASA to select BrainChip’s first silicon platform in 2021 to demonstrate in-space autonomy and cognition in one of the most extreme power- and thermalyly-constrained applications.
Similarly, Mercedes Benz demonstrated BrainChip in their EQXX concept vehicle that can go over 1000 km on a single charge.
In the latest generation, Brainchip has taken another big step of adding Temporal Event Based Neural Nets (TENNs) and complementary separable 3D convolutions that speed up some complex time-series data applications by 500x while radically reducing model size and footprint, but without compromising accuracy.
This enables a new class of compact, cost-effective devices to support high-res video object detection, security/ surveillance, audio, health, and industrial applications. While neuromorphic computing is still discussed as a future paradigm, BrainChip is already bringing this paradigm to market.
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S
Straw
Guest
Totally memeingless fools?Fools smash brainchip as a meme stock but back an actual crypto meme coin.. wtf lol
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stockduck
Regular
Do you mean this article?
Boab
I wish I could paint like Vincent
Oh yes, this gives us a very nice plug.
The following is the paragraph that precedes @Diogenese earlier post.
Event-based Processing & Learning: BrainChip’s Neuromorphic AI Solution
BrainChip is one of the pioneers of bringing neuromorphic computing to the edge. While traditional neuromorphic approaches have used analog designs to mimic the neuron and synapse, BrainChip has taken a novel approach on three counts.
Firstly, their design is a fully digital design that is portable and reliable.
Secondly, not only do they support spiking neural nets, but they have applied event-based execution to traditional convolutional networks, thereby rendering neuromorphic computing mainstream today. This allows current CNN/RNN models to run much more efficiently and drives far more capable performance on extremely low-footprint, low-power devices at the sensor.
Thirdly, delivering on-device learning allows for personalization, customization, and other learning untethered from the cloud.
Brainchip’s Akida neural processor is offered as IP and is configurable from energy-harvesting applications at the sensor edge to high-performance yet power-efficient solutions at the network edge. It is sensor-agnostic and has been demonstrated on a variety of sensors.
As a self-managed neural processor that executes most networks completely in hardware without CPU intervention, it addresses key congestion and system bandwidth challenges in embedded SoCs while delivering highly efficient performance. With support for INT8 down to INT1 and skip connections, it handles most complex networks today, along with spiking neural nets.
Boab
I wish I could paint like Vincent
cosors
👀
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Machine Learning Transforms the Internet of Things
The integration of machine learning into IoT is sparking exponential growth and shaping a dynamic ecosystem.
www.arm.com
Unlocking the potential of ML and IoT
Over time, it is expected that all IoT devices will run some sort of ML on the device. This is the reason Arm enables a wide range of ML devices – ranging from silicon deployed to run tiny sensors with Cortex-M CPUs, Cortex-M CPUs paired with custom ML accelerators, Cortex-A CPUs, Cortex-A CPUs paired with custom ML accelerators including GPUs with more and more devices coming in the future.
The integration of ML into the IoT is revolutionizing industries and livelihoods.
Bennysmadness
Regular
What is your buy price?
Bennysmadness
Regular
There is no decimal point! It's $581
HopalongPetrovski
I'm Spartacus!
|
| Hi, I'd like to invite you to our upcoming webinar next Wednesday (Aug 23) in partnership with Modzy, titled "Seamless Edge Intelligence: Scaling Applications at the Edge". The future of AI lies at the edge, and our webinar aims to provide you with the essential knowledge and best practices to build edge AI applications for scale. |
Date: August 23rd, 2023 |
Time: 9 AM PDT |
Duration: 1 Hour |
DISCUSSION TOPICS INCLUDE: |
|
WEBINAR SPEAKERS: |
|
|
Seth Clark Founder & Head of Product Modzy |
Brad Munday Head of ML Engineering Modzy |
| I look forward to seeing you there! Best, Ed Ed Nelson Portfolio Director AI Hardware & Edge AI Summit |
Not interested this year? Click here. |
| Hi all. Sorry if already posted and I have missed it but this Modzy group is a new name to me. Don't know if they are serious competition or quite what they do but it seems they are playing in our bailiwick anyways. Anyone had a look at them yet? |
HopalongPetrovski
I'm Spartacus!
Modzy is apparently a software company in Virginia USA, so probably no threat.
More and more talk about Edge intelligence cropping up.
Starting to become quite a theme.
Oh well, more water being prepared for us to make a big splash in.
More and more talk about Edge intelligence cropping up.
Starting to become quite a theme.
Oh well, more water being prepared for us to make a big splash in.
There is no decimal point! It's $581
MDhere
Top 20
morning fellow brners
ok I have a theory (one of many mind you) right,
With Arms ipo when that lifts off all the major players will buy a piece of the pie. Now, brn is in that pie so heres my theory... Nvidia wanted to buy arm but couldn't, sooo Nvidia like the others buys shares in Arm (with brn in their), SOFTBANK who ultimately owns Arm will offer to buy Brn at say no less then $6 or give shareholders or option to convert their shares into Arm shares and hey presto Brn is sold and joins the Arm forces becoming one big major ip ecosystem!
Now if my theory is correct who would sell at
(A) $6 and who would
(B) convert to arm shares (or their may also be a combo
(C) $4 and arm shares)
hmmmm my answer if this theory was correct i would unfortunately fold at $6 and watch arm double
or we hit double digits and fly along side of Arm helping each others success as seperate necessary ip working together.
just a theory.
ok I have a theory (one of many mind you) right,
With Arms ipo when that lifts off all the major players will buy a piece of the pie. Now, brn is in that pie so heres my theory... Nvidia wanted to buy arm but couldn't, sooo Nvidia like the others buys shares in Arm (with brn in their), SOFTBANK who ultimately owns Arm will offer to buy Brn at say no less then $6 or give shareholders or option to convert their shares into Arm shares and hey presto Brn is sold and joins the Arm forces becoming one big major ip ecosystem!
Now if my theory is correct who would sell at
(A) $6 and who would
(B) convert to arm shares (or their may also be a combo
(C) $4 and arm shares)
hmmmm my answer if this theory was correct i would unfortunately fold at $6 and watch arm double
or we hit double digits and fly along side of Arm helping each others success as seperate necessary ip working together. just a theory.
Hi MD, I like your quote. could you also explain why we BRNERS get benefits from ARM IPO. There are plenty arm partners , we they get the same?morning fellow brners
ok I have a theory (one of many mind you) right,
With Arms ipo when that lifts off all the major players will buy a piece of the pie. Now, brn is in that pie so heres my theory... Nvidia wanted to buy arm but couldn't, sooo Nvidia like the others buys shares in Arm (with brn in their), SOFTBANK who ultimately owns Arm will offer to buy Brn at say no less then $6 or give shareholders or option to convert their shares into Arm shares and hey presto Brn is sold and joins the Arm forces becoming one big major ip ecosystem!
Now if my theory is correct who would sell at
(A) $6 and who would
(B) convert to arm shares (or their may also be a combo
(C) $4 and arm shares)
hmmmm my answer if this theory was correct i would unfortunately fold at $6 and watch arm double
just a theory.
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