What about Japanese toilets????????
BRN Discussion Ongoing
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TheDrooben
Pretty Pretty Pretty Pretty Good
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Dr E Brown
Regular
Doing a bit of background on Microchips. PVDM said people don't understand the importance of this partnership, (or words to that effect). Re-listening to the podcast at CES 2024 with Yann Le Fao, I attach a blog of his which when combined with the interview I found incredibly interesting and exciting.
As a note, I have listened again to a number of podcasts in sequence from Sean and others relating to BRN and the market. It is clear the trajectory we are on. It is clear the trajectory the technology is on.
We have moved from interesting topic to we can use for to easier tools to implement and are at the inflexion point of implementation. I am excited by the next 6 to 12 months for our company.
That is my opinion from my research, please don't take my word for anything.
Here is another link to a Microchip ecosystem member https://www.221e.com/blog/technology-ecosystem/221e-mpe-x-microchip-pic32-mcus?utm_source=MCarticle
As a note, I have listened again to a number of podcasts in sequence from Sean and others relating to BRN and the market. It is clear the trajectory we are on. It is clear the trajectory the technology is on.
We have moved from interesting topic to we can use for to easier tools to implement and are at the inflexion point of implementation. I am excited by the next 6 to 12 months for our company.
That is my opinion from my research, please don't take my word for anything.
Here is another link to a Microchip ecosystem member https://www.221e.com/blog/technology-ecosystem/221e-mpe-x-microchip-pic32-mcus?utm_source=MCarticle
ndefries
Regular
hi - i think PVDM comments about the market and underestimating were in relation to MegaChip?
Do you have a link, can't find it anywhere, thanks.
Excellent, thanks.Just open the page and the screen will refresh every few seconds to show various pages.
Home
Unlock the power of AI with BrainChip. Enhance data processing, Edge apps and neural networks at the speed of tomorrow. Explore now!brainchip.com
I must still be sleeping.
FiveBucks
Regular
Hopefully their bank account gets an update too!
I hope we can get them into BRN's University AI Accelerator Program, that would be fantastic.
Close to BRN headquarter so no excuses, fire up the Tesla and go and speak with them Sean or maybe Kris Carlson now you are there.
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Townyj
Ermahgerd
Couple of nice pics from the #AIHWEdgeAISummit event.
www.linkedin.com
#aihwedgeaisummit #edgeai #aitech | BrainChip
What an exciting day for us here at #AIHWEdgeAISummit - presentations, demos and a buzzing booth were highlights of the day! Stop by and see us at Booth 58 throughout the rest of the Summit. #EdgeAI #AITech
GStocks123
Regular
Akida v von Neumann
von Neumann computers have hardware processor and two types of "soft" inputs - programs (application programs) and data. In addition, the processor has its internal program (operating system) to control the implementation of the application program. vN computers usually use 32-bit data or higher, although some microprocessors may use 16 or even 8 bits.
The application program determines the processor steps which are to be performed with the data.
In Akida SNN, the models must be adapted to the appropriate format (1, 2, or 4-bit).
Before the chip is utilized, the NN must be configured, and this depends on the particular use - audio, video, etc. Usually the models will relate to subsets of these categories. For example, an agricultural model may have images to distinguish crops and weeds, an autonomous driving model may distinguish between fixed and mobile objects, etc.
Configuration involves determining the number of layers of the NN, the number of NPUs in each layer, the interconnections (synapses) between the NPUs of the adjacent layers, and the weights to be applied to the synaptic values.
Configuration does involve the associated CPU.
Once the NN is configured, the input data is processed entirely in silicon in accordance with the configuration without the involvement of the CPU.
The configuration determines how the input (video, audio, etc.) is processed. So, in a sense, configuration of the NN may be considered as analogous to programming in a von Neumann processor. The difference is that, in vN, the processor has to repeatedly retrieve instructions and data from memory, whereas Akida automatically performs the required oprations on the real time input data stream as determined by the configuration which is resident in the processor itself.
Just so it does not appear too daunting a task to set up Akida, BRN has compiled many "standard" Akida models which are available together with appropriate configurations, and these can also be adapted for specific tasks if necessary.
von Neumann computers have hardware processor and two types of "soft" inputs - programs (application programs) and data. In addition, the processor has its internal program (operating system) to control the implementation of the application program. vN computers usually use 32-bit data or higher, although some microprocessors may use 16 or even 8 bits.
The application program determines the processor steps which are to be performed with the data.
In Akida SNN, the models must be adapted to the appropriate format (1, 2, or 4-bit).
Before the chip is utilized, the NN must be configured, and this depends on the particular use - audio, video, etc. Usually the models will relate to subsets of these categories. For example, an agricultural model may have images to distinguish crops and weeds, an autonomous driving model may distinguish between fixed and mobile objects, etc.
Configuration involves determining the number of layers of the NN, the number of NPUs in each layer, the interconnections (synapses) between the NPUs of the adjacent layers, and the weights to be applied to the synaptic values.
Configuration does involve the associated CPU.
Once the NN is configured, the input data is processed entirely in silicon in accordance with the configuration without the involvement of the CPU.
The configuration determines how the input (video, audio, etc.) is processed. So, in a sense, configuration of the NN may be considered as analogous to programming in a von Neumann processor. The difference is that, in vN, the processor has to repeatedly retrieve instructions and data from memory, whereas Akida automatically performs the required oprations on the real time input data stream as determined by the configuration which is resident in the processor itself.
Just so it does not appear too daunting a task to set up Akida, BRN has compiled many "standard" Akida models which are available together with appropriate configurations, and these can also be adapted for specific tasks if necessary.
GStocks123
Regular
I’m sure this has already been posted of the 2024 (April) internship but worth a read 
Looks like BC are up to project TENN.
Will project 1 be successful enough to attract MS, QC/Prophesee…
Looks like BC are up to project TENN.Will project 1 be successful enough to attract MS, QC/Prophesee…
Attachments
Frangipani
Top 20
I’m sure this has already been posted of the 2024 (April) internship but worth a read
Will project 1 be successful enough to attract MS, QC/Prophesee…
Project 9 (out of 7
) appears to be the one behind the new demo I spotted in the picture of the BrainChip booth at the Hardware & Edge AI Summit 2024:From the AI hardware summit. “select appliance” I would love to know what this is about..
Looks like Samsung's smart fridge
Qualcomm Is About To Acquire Intel? Here's What We Know
Last year, Intel’s PC client business saw an 8 per cent decline in revenue, dropping to $29.3 billion, reflecting overall weakness in the PC market.
CHIPS
Regular
I’m sure this has already been posted of the 2024 (April) internship but worth a read
Will project 1 be successful enough to attract MS, QC/Prophesee…
And again ... Doesn't anybody proofread such documents before publishing? See page 9, right side. There is something broken/missing.
So that's an "F" for project 3?
Looks like the top margin has been expanded on the template, pushing some content down, as seen on other slides.
Whatever it was they intended to put in the top margin has been omitted.
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