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Learning to the Top 🕵‍♂️
Not sure this has been posted.

A recent patent publication from TCS.
@Diogenese is this TSC patent using Brainchip's Akida?

Abstract
State of art techniques rely of FPGA based approaches when power efficiency is of concern. However, compared to SNN on Neuromorphic hardware, ANN on FPGA requires higher power and longer design cycles to deploy neural network on hardware accelerators. Embodiments of the present disclosure provide a method and system for energy efficient hierarchical multi-stage SNN architecture for classification and segmentation of high-resolution images. Patch-to-patch-class classification approach is used, where the image is divided into smaller patches, and classified at first stage into multiple labels based on percentage coverage of a parameter of interest, for example, cloud coverage in satellite images. The image portion corresponding to the partially covered patches is divided into further smaller size patches, classified by a binary classifier at second level of classification. Labels across multiple SNN classifier levels are aggregated to identify segmentation map of the input image in accordance with the coverage parameter of interest.


Learning 🏖
 
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Kachoo

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It would be amazing if it's in Scala 3... that would send this to the moon and make me regret for not picking up more at these level... but as I've been buying more to average down (as I averaged up over time) I am invested in brn too muchhhhh

Plzzzzz soooooon
Scala 3 is an interesting one we will have to see if we get any news on this one. We are still partnered and working with Valeo as it shows on our web site. Weather its the Scala 3 or something else or a futer iteration it's been in the works for 3 years a long time. If Valeo was to punt Akida it would have done so a long time ago.
 
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jtardif999

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Scala 3 is an interesting one we will have to see if we get any news on this one. We are still partnered and working with Valeo as it shows on our web site. Weather its the Scala 3 or something else or a futer iteration it's been in the works for 3 years a long time. If Valeo was to punt Akida it would have done so a long time ago.
Yeah and as LDN (our previous CEO) said back about 3 years ago ‘we are in a sweet spot for LiDAR’.
 
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IloveLamp

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For those like me who only have a rudimentary understanding on the industry supply chain, this was an interesting read.

Gives some perspective to the path to get to an end user.

Snip below and full read here...


Main Links of the Semiconductor Supply Chain​


Coming back to the semiconductor supply chain, it is extremely large and changes a lot over time as newer technologies are researched and older materials or techniques are exchanged for better ones. For context, the production of a single computer chip can require more than 1000 steps and close to 70 international border exchanges before it reaches the end customer.


semiconductor supply chain


Figure 2 – Semiconductor Supply Chain

First of all, there are three main sectors to the semiconductor supply chain: research and development, manufacturing, and end use. There is a new sector coming more and more into the picture, recycling, which is expected and needs to become an integral part of future semiconductor production plants if we are to meet the global green future standards.

The first sector, research and development (R&D), is the powerhouse behind the entirety of the semiconductor supply chain, as new research ideas and technologies directly impact all the other involved sectors. R&D includes both pre-competitive, exploratory studies and research on the fundamental technologies, and competitive research, which is more aimed at advancing the leading edge that the company has in the semiconductor industry.

Secondly, production or manufacturing consists of five major steps: design, fabrication, assembly, testing and packaging, with the last three usually being coupled together under the acronym ATP and often done by an OSAT company.

Companies have two possible routes that they can take: do everything in-house, i.e. being vertically integrated, in which case they become IDMs (Integrated Device Manufacturers) and sell the chip themselves; or design a certain IC and then outsource the rest, fabrication to foundries and ATP to OSAT (Outsourced Semiconductor Assembly and Testing) vendors, making them a fabless firm. For example, Intel is an IDM and AMD (their direct competition) is a fabless company, as they design products, but do not have the capabilities or facilities to manufacture them.

Regarding the inputs, the production of semiconductors has the raw materials, Semiconductor Manufacturing Equipment (SME for short), Electronic Design Automation (EDA) and the core Intellectual Property (IP).


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Figure 3 – Detailed Semiconductor Supply Chain

As for end user, this involves distributing the ICs to other companies or retail customers for integration within a product (like smartphone, laptop, automobile, server, appliance etc.).
 
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IG tipping us :)

Snip below.


5 of the top small-cap ASX stocks in June​

Small-cap stocks present the possibility of greater share price appreciation due to their growth potential. Here is a list of five of the top small-cap ASX stocks for traders to consider in June 2023.

While they involve greater risk than their large-scale peers, small-cap stocks also bring the promise of more lucrative rewards given their higher growth potential as modest-sized companies.

A small-cap stock is generally defined as a company with a market capitalisation of between several hundred million to $2 billion.

Here is a list of five of the top ASX small-cap stocks to consider, for those investors who consider them an acceptable choice given their current risk/reward preferences.

1. Temple & Webster Group Ltd (ASX: TPW)

2. Serko Ltd (ASX: SKO)

3. Adairs Ltd (ASX: ADH)

4. Universal Store Holdings (ASX: UNI)

5. Brainchip Holdings (ASX: BRN)

5. Brainchip Holdings: (ASX: BRN)​

Brainchip Holdings is an artificial intelligence company that claims to be the world's first commercial producer of neuromorphic processors that can mimic the way the human brain processes sensory inputs.

Brainchip's Akida neuromorphic processor has already found applications in the fields of smart car development and autonomous driving technology.

As an AI company, Brainchip's share price could receive a boost from the huge buzz surrounding the potential of generative AI technologies such as Chat GPT.
 
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Don't know who this is on twitter...small number followers but seems excited by Akida.

Looks like the team he mentions is something to do with Roko Legion or something?

I'm not on twitter so maybe someone who is might want to see what they up to?

Also mentions about the team thinking of buying some Prophesee EV kits at like $5.5k ea plus other AI players gear.


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Liked the bit I highlighted in one of the tweets. Obviously keeping tabs on that too.

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Apparently just released a prototype Akida robot into the Power Slap comp against a Shorter :ROFLMAO:


 
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Krustor

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Any update for the BRN Investor Podcast #2 that was supposed to be mid June?

18:50
 
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Sirod69

bavarian girl ;-)
Luca Verre

Luca VerreLuca Verre• 1.• 1.Co-Founder and CEO at PROPHESEE | WEF Technology Pioneer

Excited to announce that I'll be attending the World Economic Forum "Summer Davos" event in Tianjin! 🌍🚀
Joining this prestigious gathering as PROPHESEE has been recognized as 2023 Global Innovator. 🏆

Our 6-year journey with WEF began in 2017 when we were awarded as Technology Pioneer.
Since then, it has been an incredible experience contributing to the WEF agenda of improving the state of the world. 💡
I look forward to sharing insights on how neuromorphic technologies can enhance machine safety, intelligence, and efficiency.

Let's shape a brighter future together! ✨
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GStocks123

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When Are Car Manufacturers Required to Implement Driver Monitoring System (DMS) Technology?

The GSR states that all new type registeredmotor vehicles with four or more wheels, including personal cars, trucks, and buses, should be equipped with ADDW systems from July 7, 2024. By July 7, 2026, the regulations will apply to all new registered vehicles within these categories. This means that all new vehicle models put on the European market will need to be equipped with ADDW by mid-2024, until ADDW becomes mandatory for all new vehicles two years later.

Of course, developing and manufacturing new vehicle models is an elaborate process that takes years. As a rule of thumb, decisions made by car manufacturers today won’t show in the vehicles they produce until about three years later. So, in order to have their new models viable for type approval on the EU market by 2024, vehicle manufacturers had to initiate the process of putting sensors and DMS software in their cars back in 2021. This has led to a fast increase in the number of DMS system procurements settled in the last few years. And with just three years left to go until 2026, the market for DMS is bound to skyrocket in the near future.”
 
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Foxdog

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Has anyone been able to do a comparison between Akida & Seneca. More so, how our patents come in to play?


Risc-V-based digital neuromorphic processor
Notice how they don't compare it to AKIDA? Means one of two things imo: either they don't know about us (unlikely) or AKIDA is so much better that it would make them look inferior (highly likely). AKIDA is an unstoppable force and they all know it 😂
 
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Townyj

Ermahgerd

Has anyone been able to do a comparison between Akida & Seneca. More so, how our patents come in to play?


Risc-V-based digital neuromorphic processor

1.jpg

2.jpg



They don't even have Akida as a comparison...
 
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rgupta

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Dhm

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rgupta

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Another podcast with Qualcomm.
They are talking about looking into each pixel and the making decisions. Any expert here how can let us know if the same is possible without snn?
 
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buena suerte :-)

BOB Bank of Brainchip
IOT for all vid from about 3 weeks ago.

Not sure if posted previously.

Watch or skip to 19 min mark.

Gil Dror, CTO at SmartSense by Digi quite aware of BRN in the neuromorphic space....nice to hear.



Thanks for posting Fmf ..great vid .... as you say we get a mention nice to hear and he goes on to say about our neuromorphic chip...

"Brainchip is proven more than just a theory you can basically take that and execute it" :)
 
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rgupta

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Interesting comments on an arm tweet saying machine learning making it possible processing on edge.
Does someone know about arm ethos u55 board and how it can provide on chip processing from cortex m85.
Can it have akida in it?
 
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IloveLamp

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