BRN Discussion Ongoing
- Thread starter TechGirl
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Boab
I wish I could paint like Vincent
Reuben
Founding Member
A year from now, I reckon there will be a few who say I wish I bought it under a dollar.....
You never know
Labsy
Regular
Just to be clear and for others not quite following,
Is there a possibility that the ARM M4 contains AKIDA IP???, (used as illustrated in some context in the above infeon patent which describes a neural network) and hence explaining the low power consumption?
And the fact that no NN details are provided just means you can't tell what's running the NN?
Ps I know I'm just repeating the above post but just dumbing it down so it can sink in for everyone. Correct me if I'm wrong.
Akida Ballista!!!
D
Deleted member 118
Guest
I did say previously I think the podcasts have run there time, this is probably the most response we got from people for a while, maybe they should temp @Fact Finder onto the next podcast for us investors, that would be interesting.
D
Deleted member 118
Guest
Not many shares needed the last week or so to get our SP moving in either direction quite a lot.
Fact Finder
Top 20
WHITE PAPER
Neuromorphic Computing Brings AI to the Edge
How conventional processor architecture is becoming a thing of the past
Connected devices driven by 5G and the Internet of Things (IoT) are everywhere from autonomous vehicles, smart homes, healthcare to space exploration. Devices are becoming more intelligent. Massive amounts of data from multiple sources need to be processed quickly, securely, and in real time, having low latency. Cloud-based architecture may not fulfil these needs of futuristic AI-based systems, that require intelligence at the edge and the ability to process sparse events. Neuromorphic computing resolves the issues of the conventional processor architecture or the von Neumann architecture by separating processing and memory units. It mimics the human brain and its cognitive functions such as interpretation, autonomous adaptation; as well as supports in-memory processing at higher speeds, complexity, and better energy efficiency. As research continues, neuromorphic processors will advance edge computing capabilities and bring AI closer to the edge.
Click on the "Read More" button to read the entire whitepaper.
Click on the contact icon at the bottom right to talk to our subject matter experts.
Read More
Arijit Mukherjee
Senior Scientist, TCS Research
Sounak Dey
Senior Scientist, TCS Research
Vedvyas Krishnamoorthy
Business Development Manager, Technology Business Unit, TCS
S
Straw
Guest
I think I'd be truly happy if I were Mr Bean
(if not slightly sociopathic)
Dozzaman1977
Regular
Yes it's factual
The interviewer asked the question about when the breakeven will occur
Sean answered the question ( when the employee headcount reaches 100 at the end of this year will be around the time of revenue greater than expenses.
Keeping it real???? Yes
I guess it's better to listen to you saying "shit going to happen big time " than listen carefully to what the CEO of brainchip is saying
D
Deleted member 118
Guest
Got a nice Guinness stew and dumplings cooking for later, that should cheer me upI guess someone got up on the wrong foot
AusEire
Founding Member.
Was saying this exact thing to one of the guys last night. This is shorts playing with themselves for sure. The trading volume is incredibly low.
Heavily manipulated
Fullmoonfever
Top 20
I have been wondering too if that is an option with the M4 for those clients wanting an AI accelerator or add on white label IP (Akida) for their "own" NPU.
Here is another case I'm trying to see how is set up but only just started digging.
These recent boards and latest NPUs from Kneron just come out the past month or so.
Maybe @Diogenese could cast an eye if it hasn't already been looked at or discussed yet?
Was something the in the wording of their new board which I've highlighted.
The NPU designed by ARM architecture...huh. Makes sense to say that about the M4 but the NPU?
Couple links below and the site has datasheet etc but doesn't explain much around the NPU and runs 2 X M4.
Did notice though the reference to LTSM in support models so maybe not related at all?
Mini-AI-720
AI Edge Computing Module with Kneron KL720 NPU
Overview
AI Edge Computing Module with Kneron KL720 NPUFeatures
- Kneron KL720 NPU (Designed by ARM architecture)
- Mini card (PCIe[x1] interface,Full size)
- Accelerator for AI Edge Computing
- Enhanced performance to process high resolution video and graphic related computing
AI Edge Computing Module with Kneron KL720 NPU
AI Edge Computing Module with Kneron KL720 NPU
www.aaeon.com
Kneron edge AI chips: local AI, private and secure
Kneron's edge AI SoCs enable low power AI processing on any device with a sensor. Since none of the data collected goes to the cloud to be inferred, data is private and secure. Contact us to learn more.
Last edited:
Boab
I wish I could paint like Vincent
A little bit more info about the upcoming interview/podcast
Laguna Hills, Calif. – June 30, 2022 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of neuromorphic AI IP, today announced that Chief Marketing Officer, Jerome Nadel is the featured guest on the latest “This is our Mission” podcast. Nadel joins Vice President of Worldwide Sales, Rob Telson to discuss the opportunities for BrainChip’s neuromorphic technology to become the de facto standard in AI at the Edge. The podcast will be available Wednesday, July 6, 2022, at 3:00 PDT on BrainChip’s website and across popular podcast platforms.
Nadel is well known for his in-depth and keen understanding of technology with experience in the semiconductor, software, and security industries. With a focus on end-user perspective to technology, and how technology and storytelling go hand in hand, Nadel shares his thoughts about how customers will interface and engage with technology, how sensors have made the digital world easier to use, and how a light, minimalistic approach to learning at the Edge will provide a dramatic impact on society.
“Since joining BrainChip 6 months ago, among other achievements, Jerome has led the company’s rebrand, and reinforced our positioning around Essential AI,” said Telson. “This podcast provides a first-hand, deep dive into Jerome’s mindset about the role of sensors and AI in digital user experience, and how the near future will see end-user improvements inconceivable only years ago.”
The “This is Our Mission” podcast provides AI industry insight to listeners including users, developers, analysts, technical and financial press, and investors. Past episodes are available here.
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY)
BrainChip is the worldwide leader in edge AI on-chip processing and learning. The company’s first-to-market neuromorphic processor, AkidaTM, mimics the human brain to analyze only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Keeping machine learning local to the chip, independent of the cloud, also dramatically reduces latency while improving privacy and data security. In enabling effective edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com.
Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc
Follow BrainChip on LinkedIn: https://www.linkedin.com/company/7792006
###
Media Contact:
Mark Smith
JPR Communications
818-398-1424
Investor Contact:
Mark Komonoski
Laguna Hills, Calif. – June 30, 2022 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of neuromorphic AI IP, today announced that Chief Marketing Officer, Jerome Nadel is the featured guest on the latest “This is our Mission” podcast. Nadel joins Vice President of Worldwide Sales, Rob Telson to discuss the opportunities for BrainChip’s neuromorphic technology to become the de facto standard in AI at the Edge. The podcast will be available Wednesday, July 6, 2022, at 3:00 PDT on BrainChip’s website and across popular podcast platforms.
Nadel is well known for his in-depth and keen understanding of technology with experience in the semiconductor, software, and security industries. With a focus on end-user perspective to technology, and how technology and storytelling go hand in hand, Nadel shares his thoughts about how customers will interface and engage with technology, how sensors have made the digital world easier to use, and how a light, minimalistic approach to learning at the Edge will provide a dramatic impact on society.
“Since joining BrainChip 6 months ago, among other achievements, Jerome has led the company’s rebrand, and reinforced our positioning around Essential AI,” said Telson. “This podcast provides a first-hand, deep dive into Jerome’s mindset about the role of sensors and AI in digital user experience, and how the near future will see end-user improvements inconceivable only years ago.”
The “This is Our Mission” podcast provides AI industry insight to listeners including users, developers, analysts, technical and financial press, and investors. Past episodes are available here.
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY)
BrainChip is the worldwide leader in edge AI on-chip processing and learning. The company’s first-to-market neuromorphic processor, AkidaTM, mimics the human brain to analyze only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Keeping machine learning local to the chip, independent of the cloud, also dramatically reduces latency while improving privacy and data security. In enabling effective edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com.
Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc
Follow BrainChip on LinkedIn: https://www.linkedin.com/company/7792006
###
Media Contact:
Mark Smith
JPR Communications
818-398-1424
Investor Contact:
Mark Komonoski
After the most recent AGM, I would have expected to see some sizable increase in the upcoming BRN company 4C revenue report especially given the fact that Sean H was so adamant at that meeting that we were to start now watching the quarterly results for anticipated financial progress.Goodbye to that Financial year...I'd suggest a lot of us made some profit, but I personally am not expecting to see any
revenue of any substance in the upcoming 4c being delivered later next month..if products had been released in the
previous 3 months, well, we would or someone would have that information and divulged it by now.
The only revenue would be from IP Licences...correct me if I've forgotten something, which does happen quite a bit these days, as in,
what did I come into this room for ?!!!
Depending on all this shorting behaviour and the "washing" that's been taking place this month (in my opinion) the share price could
well take another hit in late July, as the recurring pattern of no revenue, seems to send a message to shorters, downrampers to try to
savage our stock once again, and (in my opinion) this pattern will only change once "explosive revenue" shows it's face, and is repeated
quarter on quarter....which I'm expecting like many of you.
My love affair with Brainchip is as strong as ever, too emotional for some ?....that thought just makes me laugh
From a perfect clear evening in Perth (but cool).....Tech x
Yes correct @Stable Genius i am also wants to listen to this guy specially after joining BRN! I listened to all his speeches and talks before joining our company and he was great!
I think his marketing strategy and philosophy on value and product preposition based on collaboration between market technology participants and key players because he strongly believes that in today’s market you will never win the market share alone, you need to partner with other market players so everyone is winning & sharing and your business model is going to more durable and sustainable in the long term. Which is great strategy IMO and this is what BRN is doing and executing right now with forming all these partnerships so far.
Cheers
Well, back in 2016, Kneron had a synchronous NN:I have been wondering too if that is an option with the M4 for those clients wanting an AI accelerator or add on white label IP (Akida) for their "own" NPU.
Here is another case I'm trying to see how is set up but only just started digging.
These recent boards and latest NPUs from Kneron just come out the past month or so.
Maybe @Diogenese could cast an eye if it hasn't already been looked at or discussed yet?
Was something the in the wording of their new board which I've highlighted.
The NPU designed by ARM architecture...huh. Makes sense to say that about the M4 but the NPU?
Couple links below and the site has datasheet etc but doesn't explain much around the NPU and runs 2 X M4.
Did notice though the reference to LTSM in support models so maybe not related at all?
Mini-AI-720
AI Edge Computing Module with Kneron KL720 NPU
Overview
AI Edge Computing Module with Kneron KL720 NPU
Features
- Kneron KL720 NPU (Designed by ARM architecture)
- Mini card (PCIe[x1] interface,Full size)
- Accelerator for AI Edge Computing
- Enhanced performance to process high resolution video and graphic related computing
View attachment 10549
AI Edge Computing Module with Kneron KL720 NPU
AI Edge Computing Module with Kneron KL720 NPU
Kneron edge AI chips: local AI, private and secure
Kneron's edge AI SoCs enable low power AI processing on any device with a sensor. Since none of the data collected goes to the cloud to be inferred, data is private and secure. Contact us to learn more.www.kneron.com
US2017330069A1 MULTI-LAYER ARTIFICIAL NEURAL NETWORK AND CONTROLLING METHOD THEREOF
A multi-layer artificial neural network including a plurality of artificial neurons, a storage device, and a controller is provided. The plurality of artificial neurons are used for performing computation based on plural parameters. The storage device is used for storing plural sets of parameters, each set of parameters being corresponding to a respective layer. At a first time instant, the controller controls the storage device to provide a set of parameters corresponding to a first layer to the plurality of artificial neurons so that the plurality of artificial neurons form at least part of the first layer. At a second time instant, the controller controls the storage device to provide a set of parameters corresponding to a second layer to the plurality of artificial neurons so that the plurality of artificial neurons format least part of the second layer.
I see they also dabbled in MemRistors:
US10839893B2 Memory cell with charge trap transistors and method thereof capable of storing data by trapping or detrapping charges
A memory cell includes a first charge trap transistor and a second charge trap transistor. The first charge trap transistor has a substrate, a first terminal coupled to a first bitline, a second terminal coupled to a signal line, a control terminal coupled to a wordline, and a dielectric layer formed between the substrate of the first charge trap transistor and the control terminal of the first charge trap transistor. The second charge trap transistor has a substrate, a first terminal coupled to the signal line, a second terminal coupled to a second bitline, a control terminal coupled to the wordline, and a dielectric layer between the substrate of the second charge trap transistor and the control terminal of the second charge trap transistor. Charges are either trapped to or detrapped from the dielectric layer of the first charge trap transistor when writing data to the memory cell.
More recently, they have been dabbling in back propagation training for NNs, but that document is in Chinese:
CN113240075A MSVL-based BP neural network construction and training method, and MSVL-based BP neural network construction and training system
But do they have anything we need to worry about?
https://www.kneron.com/en/news/blog/106/
Kneron Unveils Next-Gen AI Chip — No Compromise AI For Smart Devices
Kneron’s KL720 chip provides best-in-class performance, energy-efficiency, privacy, and security for consumer smart devicesSan Diego, CA, August 27th, 2020
KL720 is not only the most powerful and energy-efficient chip Kneron has built, it also outclasses competing offerings. Compared to Intel’s Movidius AI chips, KL720 is twice as energy-efficient for similar performance and at half the cost. A DJI drone that currently uses a Movidius chip would double its battery life by using a Kneron chip, without any loss of power. Kneron’s solution can be used in devices that would not be practical for Intel’s chips, either because they’re too expensive or they require too much battery power to operate. KL720 is also 4x more efficient than Google’s Coral edge TPU according to MobileNetV2 benchmark results.
alwaysgreen
Top 20
I believe they sell 40 or 50 million-ish a year (they never release exact sales numbers). Akida inside would definitely make me switch from Google to Apple.
Fullmoonfever
Top 20
Thanks D.
So nothing to see here really unless their previous forays have been superceded with our IP?
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