BRN Discussion Ongoing

[chapman89]

View attachment 10597
20 Nodes for this NASA application ?

Think akida can run up to 80 nodes?

 

[Earlyrelease]

Yes, and it will go even faster than that when it travels downhill.

Maybe go faster on the second lap once it has mapped it the first time. Bit like the race track all those years back

 

[Kachoo]

Don’t be sorry. I’m still in a state of disbelief.

That's some nice validation. All this info slowly leaking tells me to be patient. IMO Things should only grow from here!

 

[Bravo]

I found an interesting article/interview published a few days ago with Jean-Rene Leuepeys who is the deputy director and CTO at CEA-Leti. He says they are preparing the next generation of their own neuromorphic chip which will have "more than 100,000 neurons on a chip and more than 75 million synapses". I'm thinking Jean-Rene must have missed the memo about AKIDA and it's 1.2 million neurons and 10 billion synapses.

CEA-Leti and the Silicon Valleys of Grenoble, France | Computer Weekly

At the intersection of three valleys in the French Alps lies the city of Grenoble, a hotbed of microelectronics, where much of the innovation is fuelled by CEA-Leti.

www.computerweekly.com

 

[Diogenese]

Think akida can run up to 80 nodes?

I node that 1 node is 4 NPUs.

 

[TasTroy77]

So when do we actually get paid by NASA ?

Or have they paid the early access program fees for testing @Fact Finder

 

[Diogenese]

So when do we actually get paid by NASA ?

Or have they paid the early access program fees for testing @Fact Finder

Hi Tas,

The SBIR is between Vorago and NASA, so we probably won't get paid by NASA, but I guess we would have had to work with Vorago on the RadHard Hardisil, because the Akida circuit IP is encrypted, so there would need to be some agreement to allow Vorago to access the circuit design and probably to receive engineering support from BRN. We would also need NASA security clearance to work on the project.

And than there's the third party money ...

 

[@ladenbauer]

Wann kommt Elon auf den Zug BRN , Mercedes rennt ihm davon wenn man das so verfolgt ! https://thestockexchange.com.au/threads/brn-discussion-2022.1/post-95800

@NASA hat @Brainchip als die Technologie identifiziert, die ihnen hilft, ihre Ziele für ihren autonomen Rover zu erreichen. „Aktuelle Routing-Methoden begrenzen Geschwindigkeiten auf 4 cm/s, during sterben NASA das Ziel hat, autonome Rover mit Geschwindigkeiten von bis zu 20 km/h

Um das vergleichbar zu machen: Das bedeutet von 0,144 km/h auf 20 km/h. Das bedeutet eine Steigerung um schnell das 140-fache(!)

 

[@ladenbauer]

Wann kommt Elon auf den Zug BRN , Mercedes rennt ihm davon wenn man das so verfolgt ! https://thestockexchange.com.au/threads/brn-discussion-2022.1/post-95800

@NASA hat @Brainchip als die Technologie identifiziert, die ihnen hilft, ihre Ziele für ihren autonomen Rover zu erreichen. „Aktuelle Routing-Methoden begrenzen Geschwindigkeiten auf 4 cm/s, during sterben NASA das Ziel hat, autonome Rover mit Geschwindigkeiten von bis zu 20 km/h

Um das vergleichbar zu machen: Das bedeutet von 0,144 km/h auf 20 km/h. Das bedeutet eine Steigerung um schnell das 140-fache(!)

Wenn man bedenkt , dass eine Steigerung von 140% auf dem Mars in Aussicht steht beim autonomen bedienen! Will ich gar nicht wissen was auf der Erde möglich ist wenn man daneben sitzt Mercedes wird ihm weg rennen im Sprint

 

[VictorG]

Wann kommt Elon auf den Zug BRN , Mercedes rennt ihm davon wenn man das so verfolgt ! https://thestockexchange.com.au/threads/brn-discussion-2022.1/post-95800

@NASA hat @Brainchip als die Technologie identifiziert, die ihnen hilft, ihre Ziele für ihren autonomen Rover zu erreichen. „Aktuelle Routing-Methoden begrenzen Geschwindigkeiten auf 4 cm/s, during sterben NASA das Ziel hat, autonome Rover mit Geschwindigkeiten von bis zu 20 km/h

Um das vergleichbar zu machen: Das bedeutet von 0,144 km/h auf 20 km/h. Das bedeutet eine Steigerung um schnell das 140-fache(!)

Es gibt ein Gerücht, dass die Nasa die Akida-Flagge auf dem Mars Rover hissen wird

 

[Boab]

Hi Tas,

The SBIR is between Vorago and NASA, so we probably won't get paid by NASA, but I guess we would have had to work with Vorago on the RadHard Hardisil, because the Akida circuit IP is encrypted, so there would need to be some agreement to allow Vorago to access the circuit design and probably to receive engineering support from BRN. We would also need NASA security clearance to work on the project.

And than there's the third party money ...

This may help? Looks like we are at least recuperating our costs.

BrainChip and VORAGO Technologies Agree to Collaborate through the Akida™ Early Access Program
BrainChip and VORAGO Technologies Agree to Collaborate through the Akida™ Early Access Program
Agreement to Support Phase I of NASA Program for Radiation-Hardened Neuromorphic Processor

Aliso Viejo, California – September 2, 2020 – BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power high performance AI technology, today announced that VORAGO Technologies has signed the Akida™ Early Access Program Agreement. The collaboration is intended to support a Phase I NASA program for a neuromorphic processor that meets spaceflight requirements. The BrainChip Early Access Program is available to a select group of customers that require early access to the Akida device, evaluation boards and dedicated support. The EAP agreement includes payments that are intended to offset the Company’s expenses to support partner needs.

The Akida neuromorphic processor is uniquely suited for spaceflight and aerospace applications. The device is a complete neural processor and does not require an external CPU, memory or Deep Learning Accelerator (DLA). Reducing component count, size and power consumption are paramount concerns in spaceflight and aerospace applications. The level of integration and ultra-low power performance of Akida supports these critical criteria. Additionally, Akida provides incremental learning. With incremental learning, new classifiers can be added to the network without retraining the entire network. The benefit in spaceflight and aerospace applications is significant as real-time local incremental learning allows continuous operation when new discoveries or circumstances occur.

 

[@ladenbauer]

Es gibt ein Gerücht, dass die Nasa die Akida-Flagge auf dem Mars Rover hissen wird

ja habe davon gehört

 

[Terroni2105]

Write in English please

 

[@ladenbauer]

Schreiben Sie bitte auf Englisch

Nein

 

[VictorG]

Write in English please

Write in English please

He was only translating some posts for our German friends, nothing sinister.

 

[The Pope]

VictorG said:
Es gibt ein Gerücht, dass die Nasa die Akida-Flagge auf dem Mars Rover hissen wird

Translated means - there is a rumour that NASA will hoist the Akida flag on the Mars rover
(close enough to it)

 

[jla]

VictorG said:
Es gibt ein Gerücht, dass die Nasa die Akida-Flagge auf dem Mars Rover hissen wird

Translated means - there is a rumour that NASA will hoist the Akida flag on the Mars rover
(close enough to it)

We can only wish.

 

[Sirod69]

perhaps you all know?

NASA SBIR 2020-I Solicitation | H6.22-4509 - CNN RNN Processor | Proposal Summary

 

[Sirod69]

wa

We have long been looking for official confirmation of a successful NASA Vorago Brainchip Phase 1 project.
Well I have found it and it is copied with a link below.

Note:
1. Vorago is Silicon Space Technology Corporation for newer shareholders.
2. Vorago used the term CNN RNN to describe AKIDA not SCNN.

As you read through the extracts you will note the following:

A. Vorago met all of the Phase 1 objectives
B. Vorago has five letters in support of continuing to the next Phase 2 importantly/interestingly two of these letters offer funding for the Phase 2 independent of NASA - (I personally am thinking large Aerospace companies jumping on board)
C. Vorago has modelling which shows AKIDA will allow NASA to have autonomous Rovers that will achieve speeds of up to 20 kph compared with a present speed of 4 centimetres a second.

There is in my opinion no other company on this planet with technology that can compete with the creation of Peter van der Made and Anil Mankar.


The Original Phase 1:
"The ultimate goal of this project is to create a radiation-hardened Neural Network suitable for Ede use. Neural Networks operating at the Edge will need to perform Continuous Learning and Few-shot/One-shot Learning with very low energy requirements, as will NN operation. Spiking Neural Networks (SNNs) provide the architectural framework to enable Edge operation and Continuous Learning. SNNs are event-driven and represent events as a spike or a train of spikes. Because of the sparsity of their data representation, the amount of processing Neural Networks need to do for the same stimulus can be significantly less than conventional Convolutional Neural Networks (CNNs), much like a human brain. To function in Space and in other extreme Edge environments, Neural Networks, including SNNs, must be made rad-hard.Brainchip’s Akida Event Domain Neural Processor (www.brainchipinc.com) offers native support for SNNs. Brainchip has been able to drive power consumption down to about 3 pJ per synaptic operation in their 28nm Si implementation. The Akida Development Environment (ADE) uses industry-standard development tools Tensorflow and Keras to allow easy simulation of its IP.Phase I is the first step towards creating radiation-hardened Edge AI capability. We plan to use the Akida Neural Processor architecture and, in Phase I, will: Understand the operation of Brainchip’s IP Understand 28nm instantiation of that IP (Akida) Evaluate radiation vulnerability of different parts of the IP through the Akida Development Environment Define architecture of target IC Define how HARDSIL® will be used to harden each chosen IP block Choose a target CMOS node (likely 28nm) and create a plan to design and fabricate the IC in that node, including defining the HARDSIL® process modules for this baseline process Define the radiation testing plan to establish the radiation robustness of the ICSuccessfully accomplishing these objectives:Establishes the feasibility of creating a useful, radiation-hardened product IC with embedded NPU and already-existing supporting software ecosystem to allow rapid adoption and productive use within NASA and the Space community.\n\n\n\n\t Creates the basis for an executable Phase II proposal and path towards fabrication of the processor."

CNN RNN Processor
FIRM: SILICON SPACE TECHNOLOGY CORPORATION PI: Jim Carlquist Proposal #:H6.22-4509
NON-PROPRIETARY DATA
Objectives:
The goal of this project is the creation of a radiation-hardened Spiking Neural Network (SNN) SoC based on the BrainChip Akida Neuron Fabric IP. Akida is a member of a small set of existing SNN architectures structured to more closely emulate computation in a human brain. The rationale for using a Spiking Neural Network (SNN) for Edge AI Computing is because of its efficiencies. The neurmorphic approach used in the Akida architecture takes fewer MACs per operation since it creates and uses sparsity of both weights and activation by its event-based model. In addition, Akida reduces memory consumption by quantizing and compressing network parameters. This also helps to reduce power consumption and die size while maintaining performance.
Spiking Neural Network Block Diagram


ACCOMPLISHMENTS

Notable Deliverables Provided:
• Design and Manufacturing Plans
• Radiation Testing Plan (included in Final report)
• Technical final report


Key Milestones Met
• Understand Akida Architecture
• Understand 28nm Implementation
• Evaluate Radiation Vulnerability of the IP Through the Akida
Development Environment
• Define Architecture of Target IC
• Define how HARDSIL® will be used in Target IC
• Create Design and Manufacturing Plans
• Define the Radiation Testing Plan to Establish the Radiation
Robustness of the IC


FUTURE PLANNED DEVELOPMENTS

Planned Post-Phase II Partners

We received five Letters of Support for this project.

Two of which will provide capital infusion to keep the project going, one for aid in radiation testing, and the final two for use in future space flights.

Planned/Possible Mission Infusion

NASA is keen to increase the performance of its autonomous rovers to allow for greater speeds.

Current routing methodologies limit speeds to 4cm/sec while NASA has a goal to be able to have autonomous rovers traverse at speeds up to 20km/hr.

Early calculations show the potential for this device to process several of the required neural network algorithms fast enough to meet this goal.

Planned/Possible Mission Commercialization

A detailed plan is included in the Phase I final submittal to commercialized a RADHARD flight ready QML, SNN SoC to be available for NASA and commercial use.

This plan will include a Phase II plus extensions to reach the commercialization goals we are seeking.

CONTRACT (CENTER): SUBTOPIC:
SOLICITATION-PHASE: TA:
80NSSC20C0365 (ARC)
H6.22 Deep Neural Net and Neuromorphic Processors for In- Space Autonomy and Cognition
SBIR 2020-I4.5.0 Autonomy

https://techport.nasa.gov/file/141775

My opinion only DYOR
FF

AKIDA BALLISTA

@Factfinder whats the different between your PDF and this (https://sbir.nasa.gov/SBIR/abstracts/20/sbir/phase1/SBIR-20-1-H6.22-4509.html) I want to understand this

 

[Dang Son]

Think akida can run up to 80 nodes?

Hi Chappy
Is Renasas having a lend of us or taking the piss by licensing only 2 nodes?
As it doesn't seem to be a very serious undertaking.
And what do you think is the likelyhood they will need more nodes due to their customer requirements in the near future?
Cheers