BRN Discussion Ongoing

[Tothemoon24]

The perfect example of the ignore button

 

[Ian]

For someone who pretends to be a lawyer, your grammar is appalling. Maybe you‘re used to having a secretary re-write your letters.

“But you so often do can it be so hard perhaps I need to make my posts easier to understand.” WTF does that even mean?

Have you ever heard of a comma? Maybe use one occasionally.


The thing is, I’ve been invested in the stock market for over 40 years.
Im not one of the newbies that hangs on your every word to make them feel good about their investment decisions.

I’ve also noticed over the years how you arc up when someone takes you to task. If you don’t like my opinion, move on or put me on ignore.

Lawyers / Carsalesman, one and the same to me.

PS. Hope this doesn’t cause you to have another hissy fit and take your bat and ball and go home…….

Hey! Take that back! I'm a car salesman and if you ever purchase a quality used vehicle from me I will be sure to piss in your fuel tank and take a dump in the spare wheel well.

 

[Fact Finder]

Gee that was quick but just for the record I don’t pretend to be a lawyer I pretend to be a retired lawyer.

I do get tired of correcting your work.

Looks like another “Working to capacity” comment on your report card.

Regards
FF

AKIDA BALLISTA

 

[Slade]

Gee that was quick but just for the record I don’t pretend to be a lawyer I pretend to be a retired lawyer.

I do get tired of correcting your work.

Looks like another “Working to capacity” comment on your report card.

Regards
FF

AKIDA BALLISTA

I almost missed a good laugh because I already have that Troll on ignore. What a bitter little clown.

 

[Steve10]

60,000 developers now using Egde Impulse platform & they are working on 130,000 projects.

 

[Fact Finder]

60,000 developers now using Egde Impulse platform & they are working on 130,000 projects.

View attachment 31157
View attachment 31156

And on that note those 60,000 developers have access to:

We are pleased to announce official support for the BrainChip Akida platform including the integration of the MetaTF™ framework into the Edge Impulse Studio. This will enable our semiconductor partners that integrate BrainChip’s Akida fully-digital, event-based neuromorphic IP into their SoCs, as well as developers using the Akida™ PCIe board, making BrainChip the first strategic AI IP partner enabled on the Edge Impulse platform. BrainChip and Edge Impulse have taken a very unique approach to provide power into the hands of anyone who wants to apply and leverage the benefits of neuromorphic computing without being an expert in the field.

The Akida™ PCIe board uses the AKD1000, BrainChip’s first Akida-enabled device released in 2022. This board can be plugged into a developer’s existing system to unlock capabilities for a wide array of edge AI applications, including Automotive/Smart Transportation, Smart City, Smart Home (including health and wellness devices), and Smart Factory/Industrial use cases. Linux machines with the AKD1000 are supported by Edge Impulse so that you can sample raw data, build models, and deploy trained embedded machine learning models directly from Edge Impulse Studio to create the next generation of low-power, high-performance ML applications.

Neuromorphic computing is a completely different approach to AI. It often combines analog, digital, and mixed-signal architectures to construct physical artificial neurons inside the chip. It more closely resembles how the brain operates on a hardware level, rather than relying on emulating neuron activity in traditional von Neumann or Harvard architectures (the microprocessors and microcontrollers that are in use today). By reimagining the hardware for performing neural network computations, incredible power savings can be achieved.

BrainChip has avoided the analog/mixed-signal challenge and built a fully-digital, event-based neuromorphic IP platform which makes it extremely portable across foundries, and very configurable to fit specific footprint and power constraints. Akida is also the only available edge IP solution that supports one-shot/few-shot learning on device – untethered from the cloud.

Traditionally, to achieve these compelling power efficiencies, neuromorphic computing relies on spiking neural networks (SNNs), which operate unlike traditional artificial neural networks. SNNs use a leaky integrate-and-fire model, where individual neurons are only “activated” when a particular input potential threshold is reached from the various connected upstream neurons. Such activations are modeled as differential equations, which makes SNNs notoriously difficult to train.

Again, BrainChip has focused on developer simplicity with the innovative, free MetaTF tool that transparently converts advanced deep learning models such as feed-forward CNNs and recurrent RNNs networks into equivalent SNN networks to seamlessly run on Akida technology. MetaTF is integrated into the Edge Impulse Studio to provide developers the ability to build, train, and deploy models with limited to no code requirements. This captures the benefits of the “spiking” event-based computation while making it seamless for the developer to use their preferred environment and preferred models to tune them predictably on the platform. Most importantly, the developer does not need to learn the intricacies of neuromorphic compute or SNNs. BrainChip also has a free to use Akida Model Zoo that are Akida optimized networks of existing models to provide developers with examples and give them a head start into leveraging the neuromorphic technology”

Edge Impulse Launches Official Support for BrainChip Akida™ Platform

Edge Impulse announces official support for the BrainChip ADK1000 and MetaTF framework.

www.edgeimpulse.com

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Steve10]

And on that note those 60,000 developers have access to:

We are pleased to announce official support for the BrainChip Akida platform including the integration of the MetaTF™ framework into the Edge Impulse Studio. This will enable our semiconductor partners that integrate BrainChip’s Akida fully-digital, event-based neuromorphic IP into their SoCs, as well as developers using the Akida™ PCIe board, making BrainChip the first strategic AI IP partner enabled on the Edge Impulse platform. BrainChip and Edge Impulse have taken a very unique approach to provide power into the hands of anyone who wants to apply and leverage the benefits of neuromorphic computing without being an expert in the field.

The Akida™ PCIe board uses the AKD1000, BrainChip’s first Akida-enabled device released in 2022. This board can be plugged into a developer’s existing system to unlock capabilities for a wide array of edge AI applications, including Automotive/Smart Transportation, Smart City, Smart Home (including health and wellness devices), and Smart Factory/Industrial use cases. Linux machines with the AKD1000 are supported by Edge Impulse so that you can sample raw data, build models, and deploy trained embedded machine learning models directly from Edge Impulse Studio to create the next generation of low-power, high-performance ML applications.

Neuromorphic computing is a completely different approach to AI. It often combines analog, digital, and mixed-signal architectures to construct physical artificial neurons inside the chip. It more closely resembles how the brain operates on a hardware level, rather than relying on emulating neuron activity in traditional von Neumann or Harvard architectures (the microprocessors and microcontrollers that are in use today). By reimagining the hardware for performing neural network computations, incredible power savings can be achieved.

BrainChip has avoided the analog/mixed-signal challenge and built a fully-digital, event-based neuromorphic IP platform which makes it extremely portable across foundries, and very configurable to fit specific footprint and power constraints. Akida is also the only available edge IP solution that supports one-shot/few-shot learning on device – untethered from the cloud.

Traditionally, to achieve these compelling power efficiencies, neuromorphic computing relies on spiking neural networks (SNNs), which operate unlike traditional artificial neural networks. SNNs use a leaky integrate-and-fire model, where individual neurons are only “activated” when a particular input potential threshold is reached from the various connected upstream neurons. Such activations are modeled as differential equations, which makes SNNs notoriously difficult to train.

Again, BrainChip has focused on developer simplicity with the innovative, free MetaTF tool that transparently converts advanced deep learning models such as feed-forward CNNs and recurrent RNNs networks into equivalent SNN networks to seamlessly run on Akida technology. MetaTF is integrated into the Edge Impulse Studio to provide developers the ability to build, train, and deploy models with limited to no code requirements. This captures the benefits of the “spiking” event-based computation while making it seamless for the developer to use their preferred environment and preferred models to tune them predictably on the platform. Most importantly, the developer does not need to learn the intricacies of neuromorphic compute or SNNs. BrainChip also has a free to use Akida Model Zoo that are Akida optimized networks of existing models to provide developers with examples and give them a head start into leveraging the neuromorphic technology”

Edge Impulse Launches Official Support for BrainChip Akida™ Platform

Edge Impulse announces official support for the BrainChip ADK1000 and MetaTF framework.

www.edgeimpulse.com

My opinion only DYOR
FF

AKIDA BALLISTA

If 1% of the 130,000 Edge Impulse projects use Akida = 1,300 projects. That's a lot of projects.

And 0.1% = 130. That's still a lot of projects.

 

[Steve10]

BRN is similar to a miner. Resource identified & speculators hop on board. When it's time to build the mine the speculators depart. When it's time to commence operations at the mine the big money enters.

 

[Diogenese]

Hi @Beebo

I hope that my reputation for upramping as promoted on HC by the no need to name them trolls is strong enough to cope with a little bit of downramping.

I have great respect for @Diogenese and the capacity of ego over at Qualcomm, Samsung and Sony to not accept that Dio may be right that these three giants are prepared to ignore the bleeding obvious.

What I do believe is that as long as Luca Verre holds true and Prophesee and AKIDA combine and produce performance figures regarding latency and power consumption that it will be those figures which will eventually kick in the doors no matter how much ego is piled up on the other side trying to resist the ubiquitous.

Nviso’s numbers, Edge Impulses numbers and Mercedes Benz numbers lead me to only one conclusion Prophesee Brainchip numbers are going to blow everything else away.

I am also reminded that Samsung has previously got things wrong and literally had phones melt under the weight of Von Neumann technology processing load.

As Peter van der Made said two years ago we are only just getting started.

My opinion only DYOR
FF

AKIDA BALLISTA

I agree it's just a matter of "when", not "if". It's just that my "when" is bigger than yours.

 

[Fact Finder]

I agree it's just a matter of "when", not "if". It's just that my "when" is bigger than yours.

That is said with a degree of assurance that must mean you peaked.

 

[Fact Finder]

View attachment 31163

I wonder if 22 indicates the number of different identities it occupies?

 

[White Horse]

Anil Mankar likes this





Raul Vergara • 3rd+ Executive Vice President Growth at Edge Impulse
5h • Edited •
5 hours ago

I am very excited with the response for this year's Edge ML series. As we get closer to the event I wanted to share with you a preview of the agenda (check the link!) great content from Demystifying Edge ML to hands on workshops using the best HW out there to run your IoT + ML Applications (TI, Nordic, Alif and brainchip). If you are not technical but still want to learn what it takes to build, join me and one of out experts and let's walk together through the workshops and get an inside view.

March 27 is just around the corner for San Jose and Amsterdam! register int he link below (now with agenda!!!!)
https://lnkd.in/g5aNn6rn
#ml #iot #edge


The program on the Edge Impulse site also mentions Sony.

12:00–13:00 Lunch (demo area)‍
Demos from TI, BrainChip, Alif, Nordic, Sony, MemryX, and NovTech

 

[MDhere]

I was reading something interesting today, well it was interesting to me. It is said that Toyota have a philosophy of asking the why question 5 times on their manufacturing problem solving.
I'm assuming they found their answers now.

 

[Fact Finder]

Anil Mankar likes this





Raul Vergara • 3rd+ Executive Vice President Growth at Edge Impulse
5h • Edited •
5 hours ago

I am very excited with the response for this year's Edge ML series. As we get closer to the event I wanted to share with you a preview of the agenda (check the link!) great content from Demystifying Edge ML to hands on workshops using the best HW out there to run your IoT + ML Applications (TI, Nordic, Alif and brainchip). If you are not technical but still want to learn what it takes to build, join me and one of out experts and let's walk together through the workshops and get an inside view.

March 27 is just around the corner for San Jose and Amsterdam! register int he link below (now with agenda!!!!)
https://lnkd.in/g5aNn6rn
#ml #iot #edge


The program on the Edge Impulse site also mentions Sony.

12:00–13:00 Lunch (demo area)‍
Demos from TI, BrainChip, Alif, Nordic, Sony, MemryX, and NovTech

Sixty thousand ENGINEERS being reminded by Edge Impulse that Brainchip exists.

That one percent is looking achievable.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Steve10]

In 2021, about 1.15 trillion semiconductor units were shipped all over the world - another year where shipments exceeded one trillion. Semiconductors are a crucial element of modern electronic devices. In 2021, the global semiconductor industry registered a year-on-year revenue growth rate of 26.2 percent, substantial growth following the sharp decline in 2019. Growth is expected again in 2022, with forecasts suggesting a figure of around 10.4 percent.

Samsung, the world’s largest semiconductor chip maker as of 2021, had 12.3 percent of the total semiconductor market share. The company's biggest competitor in the market is Intel who occupied 12.2 percent of the market in 2021. Intel’s main business lies in the design and manufacturing of semiconductor chips, accounting for a significant portion of Intel's net revenue.

Global semiconductor unit shipments 2021| Statista

In 2021, about 1.15 trillion semiconductor units were shipped all over the world - another year where shipments exceeded one trillion.

www.statista.com

1% of 1.15 trillion is a lot of chips.

ARM sold 8 billion last quarter x 4 = 32B / 1.15T = 2.78%.

Samsung's 12.3% market share = 141.45B chips & Intel's 12.2% market share = 140.3B chips.

Samsung's annual revenue is AUD $344,579,703,720 & the MC is AUD $462,103,694,917.

Intel's annual revenue is AUD $93,146,917,500 & the MC is AUD $161,356,167,000. Intel may have smaller market share now as revenue was AUD $116,740,197,000 in 2021.

1,150,000,000,000 chips per year / 365 days = 3,150,684,931 chips per day / 24 hours = 131,278,538 per hour / 60 = 2,187,975 per minute / 60 = 36,466 chips being shipped every second globally.

 

[White Horse]

Nice accolade.
Love the press.




Rob Telson likes this





PROPHESEE 7,446 followers
1d •
1 day ago



We won Best of #MWC23 !
Our collaboration with Qualcomm Snapdragon to unlock a new image quality paradigm for #smartphone photography was the talk of #MWC this year including winning #BestofMWC2023 from Android Authority.

MWC23 was a blast, thank you for this warm welcome and stay tuned for more!

Read all about it
Reuters https://lnkd.in/eCytgKqw
VentureBeat https://lnkd.in/eg7rFFAj
Android Authority https://lnkd.in/e5DXcrUQ
https://lnkd.in/eC2cJzRq
AndroidPolice.com https://lnkd.in/ePpUpFKu
Fierce Electronics https://lnkd.in/eFJwhADG
Le Figaro https://lnkd.in/e-HnddFz
L'Usine Digitale https://lnkd.in/e5Aw6p3u
Imaging and Machine Vision Europe https://lnkd.in/eGErd_ny
New Electronics https://lnkd.in/ePFXytyF
eeNews Europe https://lnkd.in/eD8VB63d

And more here https://lnkd.in/ekgwyCUg

#eventcamera #eventbasedvision #mobiletechnology #mobilephone #photography

 

[Quatrojos]

Our friends at Carnegie Melon are hard at work:

Can we build Cortical Columns Computing Systems (C3S) that possess brain-like capabilities as well as brain-like efficiency?

This chapter presents ongoing research in the Neuromorphic Computer Architecture Lab (NCAL) at Carnegie Mellon University (CMU) focusing on addressing this question. Our initial findings indicate that designing truly intelligent and extremely energy-efficient C3S-based sensory processing units, using off-the-shelf digital CMOS technology and tools, is quite feasible and very promising, and certainly warrants further research exploration.

Cortical Columns Computing Systems: Microarchitecture Model, Functional Building Blocks, and Design Tools

Reverse-engineering the human brain has been a grand challenge for researchers in machine learning, experimental neuroscience, and computer architecture. Current deep neural networks (DNNs), motivated by the same challenge, have achieved remarkable results in Machine Learning applications...

www.intechopen.com

STDP seems to be the best way forward. We have our fingers firmly around the AI bottleneck...

 

[Quatrojos]

This new trillion-dollar sector of the economy will be based onseveral key technologies which are coming to fruition at the same time: A) algorithmicdevelopments in artificial intelligence and machine learning, B) AI chips which are afundamental change in the nature of computing hardware, shifting from von Neumannarchitecture to distributed memory and computation mimicking neural structures of the brain (seefor example research and commercial projects in neuromorphic computing, Brainchips Akida,Intels Loihi, or Graphcore), C) 3D Sensors lidars, radars, and ultrasonic sensors can produce3D point clouds (azimuthal, elevation, and range), providing a new basis for precisionpositioning, object detection, classification, and tracking, and D) the electrification andoptimized coordination of vehicle fleets

(NEPTUNE) Threat Detection & Tracking for Vehicle Gunners - Dimensions

ABSTRACT: Vehicle gunners need to improve the speed and reliability of threat detection and targetacquisition/engagement. Lidar specifically designed for A) long-range, B) rapid, accurate, andflexible beam-steering, C) detection using laser pulse shapes, D) complementing cameraimaging, E)...

app.dimensions.ai

 

[Quatrojos]

Today’s smart devices, robots, and vehicles are becoming ever more autonomous and this places utmost importance on their reliability and safety. To meet these safety demands, light detection and ranging (LiDAR) systems have been used to make a 3D map of environment in order to navigate the autonomous agent and avoid collisions. A LiDAR measures the distance by illuminating a target with laser light and detects the reflection with a sensor. They are becoming an inevitable part of autonomous vehicles, drones, and robots by providing this vital sensing and imaging capability. However, today’s LiDARs also impose potential human and public safety threats due to their security vulnerabilities. For instance, an attacker can deliberately send a spoofing signal to the victim’s LiDAR which cannot differentiate the spoofing signal from the actual reflected signal. In doing so, attacker can overwrite the actual reflected signal. Eventually, the attacker can trick the victim by hiding or misrepresenting its actual location, leading to serious security and safety issues. While LiDAR systems are on the verge of commercialization, these scenarios are unavoidable and the prevention techniques have not been well studied and researched. This project aims at investigating these issues and proposing a new secure scheme based on frequency encryption.

We have a sweet spot with LIDAR...

EAGER: SARE: Secure LiDAR Systems with Frequency Encryption - Dimensions

Today’s smart devices, robots, and vehicles are becoming ever more autonomous and this places utmost importance on their reliability and safety. To meet these safety demands, light detection and ranging (LiDAR) systems have been used to make a 3D map of environment in order to navigate the...

app.dimensions.ai

 

[White Horse]

New article about 1500 tape-out.
https://www.electronics-lab.com/bra...-chip-on-globalfoundries-22nm-fd-soi-process/