BRN Discussion Ongoing
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Again, none of the Another Brain patent applications describe an NPU at the circuit level when talking about NNs. As this is the essential building block of a NN, they need to acquire this basic technology from someone if they are doing a silicon implementation.
Solid state LiDaR, no moving parts, electronically steered beam.
cosors
👀
Thank you, now I understand the award. I have read mechanics free LiDAR technology here already, but do not remember exactly where.
DingoBorat
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cosors
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Samsung kauft deutsche Firma – und wirft alle Mitarbeiter raus
Samsung Display hat die deutsche Firma Cynora übernommen, jetzt müssen alle der über 120 Mitarbeiter ihren Hut nehmen. Für Samsung ging..
This is German startup Culture
Sirod69
bavarian girl ;-)
this articel is from 2020:Ja, aber im Jahr 2019 haben sie 19 Millionen Euro gesammelt, um sie auf ASIC zu implementieren.
France’s AnotherBrain raises €19 million Series A for their “OrganicAI”.
Deep learning company AnotherBrain has announced the first closing of their Series A, to the…tech.eu
OrganicAI™ wird derzeit als Software geliefert, aber das Unternehmen plant, die Technologie bald auf einem KI-Chip verfügbar zu machen.
Ihre Technologie sieht ziemlich gut aus, also sollten wir graben, um zu sehen, ob sie es geschafft haben, einen Chip zu produzieren.
Brainchip is named as a startup, which works on a neuromorphic chip
and anotherbrain is developing a neuromorphic chip, too
Neuromorphes Computing als Zukunft der künstlichen Intelligenz
Deep-Learning-Techniken haben ihre Überlegenheit im KI-Bereich bewiesen. Ein Wettlauf um die Entwicklung neuer ICs für Deep Learning und Inferenz hat begonnen: für HPC, Server oder Edge-Anwendungen.
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Fact Finder
Top 20
Samsung Electronics
IP...Samsung kauft deutsche Firma – und wirft alle Mitarbeiter raus
Samsung Display hat die deutsche Firma Cynora übernommen, jetzt müssen alle der über 120 Mitarbeiter ihren Hut nehmen. Für Samsung ging..www.giga.de
This is German startup Culture
Samsung buys German company - and kicks out all employees
Simon Stich, 30. Jun. 2022, 3:30 pm
2 min reading time
Samsung has expanded its display department with a German company. (Image source: GIGA)
The joy of Samsung's interest had quickly disappeared: After Samsung Display took over the German company Cynora, the more than 120 employees had to take their hat off. The South Korean group only wanted patents and TADF technology.
Samsung Electronics
FACTS
Genres:Technology companies
More about Samsung Electronics: News, tips, videos, tests, specials, galleries
Samsung takes over Cynora and dismisses all
For a sum of around 300 million US dollars, Samsung's display department has taken over the German start-up Cynora from Bruchsal in Baden-Württemberg. However, Samsung was not interested in the developers and engineers, as it was clear a short time later. According to reports, all of the more than 120 employees were dismissed without further ado (source: Bloomberg).
Nevertheless, the takeover was worthwhile for Samsung. Cynora was considered an expert in organically emitting materials that can be used in OLED displays. The company, founded in 2013, had also attracted attention in the field of TADF technology (thermally activated delayed fluorescence). Samsung is likely to use the technology to reduce the power consumption of OLED components.
Cynora has been on the list of large corporations for a long time. LG Display and Samsung Venture Investment had already invested around 25 million euros in 2017 in the company, which was founded by former employees of the Karlsruhe Institute of Technology (KIT). The German development bank KfW had also supported Cynora in the past, in addition to various venture capital companies.
This is how LC and OLED displays differ:
00:00 / 06:19
LCD vs. OLED: Which is really better? - TECHfacts
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Cynora: Selling as a last chance?
Some insiders had long speculated that Cynora had to be sold in order to meet claims from donors. Allegedly, the start-up has run out of funds over time.
As recently as July 2020, Cynora Managing Director Gildas Sorin announced that the start-up is to become a unicorn. Unicon or unicorn are start-ups that come to a market capitalisation of one billion US dollars.
VictorG
Member
I stumbled across something that may or may not be useful to the 1000 eyes but it's certainly interesting. Hoping smarter minds than mine can dig deeper for any relevance to BRN.
Start by listening to Jordan Perterson interview on the Josh Rogan podcast, 2 minute mark.
I looked up Jim Keller, Peterson's brother in-law, he joined a new start up in Canada called Tenstorrent. Keller by the way is renowned as the golden child in chip design. See Tenstorrent partner page link below.
tenstorrent.com
I recognise a few of their partners.
I don't see any edge activity with Tenstorrent although they are working in the AI neuromorphic space.
This could be a waste of time but better to be sure.
Start by listening to Jordan Perterson interview on the Josh Rogan podcast, 2 minute mark.
I looked up Jim Keller, Peterson's brother in-law, he joined a new start up in Canada called Tenstorrent. Keller by the way is renowned as the golden child in chip design. See Tenstorrent partner page link below.
Partners
tenstorrent.com
I recognise a few of their partners.
I don't see any edge activity with Tenstorrent although they are working in the AI neuromorphic space.
This could be a waste of time but better to be sure.
Fact Finder
Top 20
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
My opinion only DYOR
FF
AKIDA BALLISTA
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
My opinion only DYOR
FF
AKIDA BALLISTA
buena suerte :-)
BOB Bank of Brainchip
Love a drop of Guinness ... one for the pot and one for the Chef
Cheers
buena suerte :-)
BOB Bank of Brainchip
AWESOME find FF ... very nice ... love this bit! (I personally am thinking large Aerospace companies jumping on board) VERY EXCITING
Have a great weekend Chippers
Rskiff
Regular
Wow to you @Fact Finder and to NASA with a goal of its rovers to do 20km per hour. They will definitely need Akida to achieve this self driving.
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Boab
I wish I could paint like Vincent
My mind immediately thinks who else has read this nugget of a find. Nice work FF.
Facts found by the Finder. Great stuff FF. Don’t doubt the technology people. We got 12 winning months ahead of us this financial year.
Boab
I wish I could paint like Vincent
I should add that my old boss who was a mentor to me always said that word of mouth was the best business. It's so simple that if you do the right thing with a particular client others will talk and sing your praises. Akida/Brainchip is being sung loudly
.
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