Dougie54
Regular
Coupala daaaays
BRN Discussion Ongoing
- Thread starter TechGirl
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I'll see your: "process inference on Akida", and raise:
"We've successfully ported the data from Prophesee's neuromorphic-based camera sensor to process inference on Akida with impressive performance," said Anil Mankar, Co-Founder and CDO of BrainChip. "This combination of intelligent vision sensors with Akida's ability to process data with unparalleled efficiency, precision and economy of energy at the point of acquisition truly advances state-of-the-art AI enablement and offers manufacturers a ready-to-implement solution."
I think the first "process" could be replaced by "perform" or "carry out" without altering the meaning.
Also "to process inference on Akida with impressive performance" implies that the inferencing was carried out on an Akida SoC rather than in software simulation, and, as far as we know, there is only Akida 1000 SoC.
I rest my briefs.
PS: As to "speculation" consider it a pre-emptive ogre.
Fact Finder
Top 20
Well they do not appear on their list of partners. If Brainchip fills the gap on the list over the next week or so then I suspect they have moved on.
Perhaps SynSense web site will tell the story.
My opinion only DYOR
FF
AKIDA BALLISTA
Build-it
Regular
JK200SX
Regular
Last edited:
Fact Finder
Top 20
Therein lies the weakness of your argument ‘as far as we know’.
Given we all know we do not know everything that is taking place behind the Brainchip veil your certainty is certainly misplaced.
If you read what Anil Mankar said at 2021 Ai Field Day he left wide open the opportunity that LSTM could be added to AKD1000 neural fabric by software without changes to the fabric as it already uses ‘itegrate and fire neuron’.
So put your briefs back on for the moment my speculation is still taking up the surface of the table.
My opinion only DYOR
FF
AKIDA BALLISTA
More importantly this partnership once again imo validate's our AI / IP technology with a well known and well connected Co.
butcherano
Regular
Yeah…interesting that SynSense aren’t listed as a partner on the About tab here…https://www.prophesee.ai/about-prophesee/
But they’re still listed as a partner on the homepage here…. https://www.prophesee.ai/
Will be interesting to see if they’re still there when Brainchip make an appearance on the list…
Reuben
Founding Member
imagine renault using akida, phew
By 2017, the Renault–Nissan–Mitsubishi Alliance had become the world's biggest seller of light vehicles.[12]
I think our Co name would look a lot better if it was placed at the "top" of the partners lists.... lolThis looks better
View attachment 9679
DYOR, I've saved the hard work for Prophesee, by showing how nice their page would look like with our company logo.
butcherano
Regular
Could we be in this?…possibly the driver for announcing the partnership if they’re starting to make some sales?…
Prophesee launches EVK4 based on new Sony IMX636ES HD sensor
First EVK for immediate evaluation of Sony IMX636ES HD sensor - industry’s only commercial-grade Event-Based Vision stacked sensor.
Fact Finder
Top 20
If you take the following part of Prophesee’s statement above:
“"By combining our Metavision solution with Akida-based IP, we are better able to deliver a complete high-performance and ultra-low power solution to OEMs”
with what they said when they partnered with SynSense in October, 2021 it is clear that SynSense was not all they thought it was going to be:
SynSense and Prophesee develop one-chip event-based smart sensing solution
Partnership leverages respective leadership in neuromorphic computing and sensing to realize on-sensor processing integration leading to small form-factor, low-power and cost-effective IoT solutions
If you were SynSense you would cringe at the statement that Brainchip is ‘better able’ to do what they were supposed to in the above announcement.
Ubiquitous. DEFAULT STANDARD.
My opinion only DYOR
FF
AKIDA BALLISTA
wilzy123
Founding Member
WASCA - What's a SynSense Chip AnywayIf you take the following part of Prophesee’s statement above:
“"By combining our Metavision solution with Akida-based IP, we are better able to deliver a complete high-performance and ultra-low power solution to OEMs”
with what they said when they partnered with SynSense in October, 2021 it is clear that SynSense was not all they thought it was going to be:
SynSense and Prophesee develop one-chip event-based smart sensing solution
Partnership leverages respective leadership in neuromorphic computing and sensing to realize on-sensor processing integration leading to small form-factor, low-power and cost-effective IoT solutionswww.prophesee.ai
If you were SynSense you would cringe at the statement that Brainchip is ‘better able’ to do what they were supposed to in the above announcement.
Ubiquitous. DEFAULT STANDARD.
My opinion only DYOR
FF
AKIDA BALLISTA
IndepthDiver
Regular
Hi FF,
Personally I disagree with all the comments said here about this. The word inference has different meanings depending on which industry you are referring to. In the context of machine learning, inference refers to the data being fed into the machine learning model or algorithm (see link below).
So in the context here, processing inference simply refers to processing sensor data. Nothing further to read here, definitely no reference to LSTM's.
On top of this, since English isn't Anil's primary language, I think some leniency may be required, so there's not much point reading too deeply into how his sentences are structured.
Pure speculation, DYOR
Model inference overview | BigQuery | Google Cloud
Machine learning inference is the process of running data points into a machine learning model to calculate an output such as a single numerical score. This process is also referred to as “operationalizing a machine learning model” or “putting a machine learning model into production.”
Space Situational Awareness with event-based vision
There is a critical need for accurate detection and tracking of satellites. Greg Cohen and his team are harnessing neuromorphic technology and Event-Based Vision solutions to make this important job extremely efficient.
Neuromorphic Vision For Enhanced Robotics Capabilities
Researchers at National University of Singapore combined neuromorphic vision and touch to help robots grip and identify objects.
Microfluidic Analysis Makes Strides Using Event-Based Vision Capabilities
Aided by Prophesee's technology, researchers at the University of Glasgow and Heriot-Watt University have discovered ways to leverage Event-Based Vision's high-speed particle detection capabilities to perform microfluidic analysis.
Cambridge Consultants Prophesee Cell Therapy Event-Based Vision
Cambridge Consultants unlocked next-generation cell therapy through real-time cell batch sterility testing with Prophesee Metavision® sensing.
Fact Finder
Top 20
The following is dedicated to the folks at SynSense:
Fact Finder
Top 20
I am still speculating. The logic is that the next generation with LSTM has been available to early access customers and robotics needs LSTM and Prophesee have jumped ship mid voyage.Hi FF,
Personally I disagree with all the comments said here about this. The word inference has different meanings depending on which industry you are referring to. In the context of machine learning, inference refers to the data being fed into the machine learning model or algorithm (see link below).
So in the context here, processing inference simply refers to processing sensor data. Nothing further to read here, definitely no reference to LSTM's.
On top of this, since English isn't Anil's primary language, I think some leniency may be required, so there's not much point reading too deeply into how his sentences are structured.
Pure speculation, DYOR
Model inference overview | BigQuery | Google Cloud
cloud.google.com
Machine learning inference is the process of running data points into a machine learning model to calculate an output such as a single numerical score. This process is also referred to as “operationalizing a machine learning model” or “putting a machine learning model into production.”
I am joining the @MC🐠 school of early speculation.
Prove that Brainchip has not released LSTM to early access customers as it did with AKD1000 IP before announcing its availability to the market generally and I will give up speculating.
We both know you cannot anymore than I can prove it has been so I will continue to rely on the history of how Brainchip has done things in the past and the unusual language.
My opinion and speculation only so DYOR
FF
AKIDA BALLISTA
Proga
Regular
"offers manufacturers a ready-to-implement solution" is interesting. We might see revenue brought forwardGood morning
BrainChip Partners with Prophesee Optimizing Computer Vision AI Performance and Efficiency
LAGUNA HILLS, CA / ACCESSWIRE / June 19, 2022 / BrainChip Holdings Ltd (ASX:BRN)(OTCQX:BRCHF)(ADR:BCHPY), the world's first commercial producer of neuromorphic AI IP, and Prophesee, the inventor of the world's most advanced neuromorpcrweworld.com
Neuromorphic Vision For Enhanced Robotics Capabilities
Researchers at National University of Singapore combined neuromorphic vision and touch to help robots grip and identify objects.
Researchers at the Collaborative, Learning, and Adaptive Robots (CLeAR) Lab and TEE Research Group at National University of Singapore are taking advantage of the benefits of Event-Based Vision, in combination with touch, to build new visual-tactile datasets for the development of better learning systemsin robotics. The neuromorphic sensor fusion of touch and vision is being used to help robots grip and identify objects.
Their research work on ‘electronic skin’ includes Prophesee’s Metavision Event-Based Vision sensor, and demonstrates how touch and vision can be combined for enhanced capabilities in robotics.
This looks like it all ties in with TACNIQ which was founded by Benjamin Tee (TEE Research Group) which as we know, are currently evaluating Akida.
About Us | TacniQ
TacniQ is a spinoff resulting from a cross-disciplinary collaboration between the fields of computer science and bioengineering.
My opinion only.
DYOR
Hi IDD,Hi FF,
Personally I disagree with all the comments said here about this. The word inference has different meanings depending on which industry you are referring to. In the context of machine learning, inference refers to the data being fed into the machine learning model or algorithm (see link below).
So in the context here, processing inference simply refers to processing sensor data. Nothing further to read here, definitely no reference to LSTM's.
On top of this, since English isn't Anil's primary language, I think some leniency may be required, so there's not much point reading too deeply into how his sentences are structured.
Pure speculation, DYOR
Model inference overview | BigQuery | Google Cloud
Machine learning inference is the process of running data points into a machine learning model to calculate an output such as a single numerical score. This process is also referred to as “operationalizing a machine learning model” or “putting a machine learning model into production.”
You've left out the outference "to calculate an output".
The inference is the estimating of the output from the input data.
infer
[ɪnˈfəː]
VERB
- deduce or conclude (something) from evidence and reasoning rather than from explicit statements:
Inference, from my understanding, is the classification of an object from data which is similar to, but not identical with already known data.
Akida has been processing inference for donkeyears, as exemplified by the use of the word 11 times in this 2019 presentation.
https://brainchip.com/wp-content/uploads/2019/10/BrainChip-Linley-Akida-Presentation_v5.pdf
For example, Akida may determine the classification of an object if it has a sufficient percentage of similarities to a known object, or if a part of the new object is sufficiently similar to a corresponding part of a known object.
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