Space Cadet
Regular
Nice find. Maybe along these lines.
https://www.islinc.com/isl-selected-in-first-round-of-armys-xtechsearch7
SC
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
https://www.islinc.com/isl-selected-in-first-round-of-armys-xtechsearch7
SC
I would like to thank all in the forum for actually considering a conversation on all things Akida and be respectful. Not all have ulterior motives to question Management. We all hold shares in a company and its in our best interest to question, consider and act on these discussions. Maybe we are just around the corner of a big deal. Maybe we will never see another! I can't see the future but I stay invested because I believe that in time we will. Anyone that holds without this would be foolish.
Yes we will watch the financials and the market will react accordingly. Partnerships are great, lets hope some of them start to pay for that privilege, or maybe they already are? Good luck all, look forward to good discussion when needed.
Bravo
If ARM was an arm, BRN would be its biceps💪!
ISL Patent dated 22 Feb 2022.
Sensor could be a radar, sonar, lidar, etc.
Radio Frequency (RF) applications discussed.
A link to the patent can also be found on ISL's website. See "link" at blue Highlighted section.
Sensor could be a radar, sonar, lidar, etc.
Radio Frequency (RF) applications discussed.
A link to the patent can also be found on ISL's website. See "link" at blue Highlighted section.
Redirecting
www-forbes-com.cdn.ampproject.org
I'm not trying to get you enthused, much less jumping, but I find it enthusing.
I see it as being more significant when we see an Accenture patent application from a couple of years ago which mentions Akida alongside Loihi, and then, last week, one of the inventors of the patent writes an article which says that Accenture had tested Akida and found it to be several times better than any CPU or GPU.
That's not praise - that's fact.
This is a positive affirmation of Akida's capabilities from one of the largest IT consultancies. Accenture is a global adviser on IT including AI, so I think there's a better than even chance that they are boosting Akida to their clients as we speak, and have probably been doing it for some time.
toasty
Regular
Been hearing this story for 8 or so years now. I am a true AKIDA believer but am often disappointed that various management personnel make statements that do not come to fruition............thinking here of hockey sticks and sales explosions amongst more recent others.........Aggressively selling over the next 12 months not being followed up is your opinion only. You seem to measure the selling and whether it is aggressive by how many IP agreements we currently have? We would all love news of an IP signing. The company has been front and centre with all edge AI related engagements particularly this year and since CES, I think the foundation is being laid carefully and broadly for perhaps an avalanche of IP agreements over the next 12-18 months. The technical landscape is shifting to the edge. This is building and all of the pieces of the jigsaw puzzle are falling into place and BrainChip is set to capitalise on the shift. This year marks the beginning of this shift imo, the beginning of the next Industrial Revolution. BrainChip has the key enabling technology for this revolution imo and I believe a lot of things have started to fall into place creating unprecedented opportunity. Space tech, military tech, advanced driving, both general and cyber security, smart cities, smart homes and the list is ever increasing. As has been said before there’s use cases for Akida that haven’t been thought of yet. From the very small e.g. securing the 6G network to the very large like enabling autonomous ships to safely navigate the worlds oceans AI will pervade, we just need to be patient for a little longer and then I think things will start to get really exciting.
So you've found a couple of pictures of 3-handed cat's cradle on the interweb ...ISL Patent dated 22 Feb 2022.
Sensor could be a radar, sonar, lidar, etc.
Radio Frequency (RF) applications discussed.
View attachment 59822
A link to the patent can also be found on ISL's website. See "link" at blue Highlighted section.
View attachment 59823
OOPS! sorry, the ogre got loose again!
It's not only what is being said, it's who's saying it:
https://brainchip.com/akida-generations/
- Jean-Luc Chatelain, MD at Verax Capital Advisors, former MD and Global CTO at Accenture Applied Intelligence
That makes a trifecta of references and endorsements from Accenture.
Asking the question as I am definitely not an expert and would genuinely like to know.
Are the figures (Fig 1 to7) considered the drawings or is there more to it? Plus,
Would they not publish the patent without making this available?
AI_Inquirer
Regular
Fullmoonfever
Top 20
Nice to see them demo'ing in Perth and hope it went well.
Be good if could've had the edge box there to show, maybe they did but I can't see it.
Even better imo would have been a joint demo too with say Circle 8, being a Perth company as well and looking to commercially use our Akida.
Must say, gets a bit repetitive seeing the same ol plastic animals for how many years now?
jtardif999
Regular
I particularly like this claim (I like all the claims), this claim says this patent is Akida2
“[0081] The sound prediction learning rule minimizes or at least reduces the error between a prediction of the upcoming speech sounds generated by the acoustic model 124 (or a prediction of future feature coefficients that will be received by the acoustic model 124 ) and the actual observed speech sounds (or the actual feature coefficients). This can be important as it allows the speech processing engine 120 to operate in a fully self-supervised manner in which only the future speech of the user is needed to adjust the parameters of the acoustic model 124 . In addition, partial predictions can also be used to improve efficiency. For example, predicting the speech sounds of parts of speech while other parts are indecipherable due to background noise or an end of speech event is not detected reduces the latency in providing a response to the user. The sound prediction learning rule can be processed continuously by the neuromorphic processor 123 allowing for real-time and continuous self-learning of the acoustic model 124 . In this example, the acoustic model 124 is configured to output the predicted speech sounds and/or predicted feature coefficients for future utterances that the acoustic model 124 predicts the user to make. The acoustic model 124 can predict future utterances based on the predicted speech sounds. For example, the acoustic model 124 can predict the future utterances based on a probability of the future utterances following the predicted speech sounds output by the acoustic model 124 .”
The acoustic model being mentioned can be in the cloud or on the actual device.
This patent is a significant development in the company’s fortunes imo. Thank you @TECH for the find
“[0081] The sound prediction learning rule minimizes or at least reduces the error between a prediction of the upcoming speech sounds generated by the acoustic model 124 (or a prediction of future feature coefficients that will be received by the acoustic model 124 ) and the actual observed speech sounds (or the actual feature coefficients). This can be important as it allows the speech processing engine 120 to operate in a fully self-supervised manner in which only the future speech of the user is needed to adjust the parameters of the acoustic model 124 . In addition, partial predictions can also be used to improve efficiency. For example, predicting the speech sounds of parts of speech while other parts are indecipherable due to background noise or an end of speech event is not detected reduces the latency in providing a response to the user. The sound prediction learning rule can be processed continuously by the neuromorphic processor 123 allowing for real-time and continuous self-learning of the acoustic model 124 . In this example, the acoustic model 124 is configured to output the predicted speech sounds and/or predicted feature coefficients for future utterances that the acoustic model 124 predicts the user to make. The acoustic model 124 can predict future utterances based on the predicted speech sounds. For example, the acoustic model 124 can predict the future utterances based on a probability of the future utterances following the predicted speech sounds output by the acoustic model 124 .”
The acoustic model being mentioned can be in the cloud or on the actual device.
This patent is a significant development in the company’s fortunes imo. Thank you @TECH for the find
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Wags
Regular
Dio, I can see the drawings, ttl 7. Not that they mean anything to me, but I can see them. cheers
Yes - they are the titles of the drawings in the description. The drawings are in a separate file under a separate tab. It's just an administrative matter - they put the description and abstract first before posting the drawings as they are separate files. I was just remarking on how soon Tech found the abstract, which happened to be before the drawings were posted.
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I was only thinking today that I wondered what's happened with Dell......
Episode 6: The Outside Looking in - A Conversation with Rob Lincourt, Dell Technologies
In this episode, we continue with our “outside looking in” theme with this insightful conversation with Rob Lincourt
brainchip.com
Intel CEO Gelsinger proposes a fab tour for Elon Musk — could be an attempt to win orders from Tesla, other Musk companies
CHIP Act funding arrives, hastens the need to get IFS customers lined up.
Musk would surely be an excellent catch for IFS. This superrich entrepreneur has fingers in many tech pies that are highly reliant on processors, lots of state-of-the-art processors. Musk's firms buy AI accelerators from both AMD and Nvidia, for tasks like machine learning, computer vision, self-driving, Grok, and more, but the firm is also developing its own Dojo ASICs (Application-Specific Integrated-Circuits) with new generations in development.
Smoothsailing
Regular
Intel CEO Gelsinger proposes a fab tour for Elon Musk — could be an attempt to win orders from Tesla, other Musk companies
CHIP Act funding arrives, hastens the need to get IFS customers lined up.www.tomshardware.com
View attachment 59831
Musk would surely be an excellent catch for IFS. This superrich entrepreneur has fingers in many tech pies that are highly reliant on processors, lots of state-of-the-art processors. Musk's firms buy AI accelerators from both AMD and Nvidia, for tasks like machine learning, computer vision, self-driving, Grok, and more, but the firm is also developing its own Dojo ASICs (Application-Specific Integrated-Circuits) with new generations in development.
Rob said ….Dell has a plethora of products on the edge that brainchip could be apart of to reduce power.I was only thinking today that I wondered what's happened with Dell......
Episode 6: The Outside Looking in - A Conversation with Rob Lincourt, Dell Technologies
In this episode, we continue with our “outside looking in” theme with this insightful conversation with Rob Lincourt
Pretty cool comment from Apple from the interview linked below. Great to hear that mindset.
Senior Vice President Hardware Technologies of Apple Johnny Srouji made the following comment:
"Our aspiration is the product; we want to build the best products on the planet. As ta technology team, which also includes the chips. in this case, we want to build the best technology that would enable that vision. So, if there is a technology that we can buy off the shelf and that delivers to our objective for the product, we'll do it. Because I want to focus the team on what really, really matters on the most differentiating aspects of the chips. So, if there is a chip that we can buy and there is no differentiation in building internally, I would buy so we can focus our efforts on the things that really matter, and we maximise our benefits".
Senior Vice President Hardware Technologies of Apple Johnny Srouji made the following comment:
"Our aspiration is the product; we want to build the best products on the planet. As ta technology team, which also includes the chips. in this case, we want to build the best technology that would enable that vision. So, if there is a technology that we can buy off the shelf and that delivers to our objective for the product, we'll do it. Because I want to focus the team on what really, really matters on the most differentiating aspects of the chips. So, if there is a chip that we can buy and there is no differentiation in building internally, I would buy so we can focus our efforts on the things that really matter, and we maximise our benefits".
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