BRN Discussion Ongoing
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Dhm
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Great find @stuart888
So we are partnering Teksun in providing AI for Toshiba, Cisco and Linaro. Very exciting. But just how far have we gone with Teksun? Surely a price sensitive ASX announcement should already out, or at least very soon?
Learning
Learning to the Top 🕵♂️
Maybe I have selective hearing. Just my thought on the podcast.
"Ecosystem" = Essential in the tech industries
"Believes" = Benefits = Results AKD1000 AKD1500, AKD 2.0.
"Developer's" = Just Edge Impulse alone, 60000 developer's.
"Focus" = Management is focused in growing the business.
"Partners" ARM, Intel, SiFi, MegaChips, Socionext and more!
"AI is the most disruptive technology we are seeing in our lifetime"
"Inferencing" @ low-power at the edge= Akida
"Telchnology for today and tomorrow"
"Transformer" more to come
"Exciting year"
"Will take time" = Patience will be require.
Learning 🏖
Last edited:
TechGirl
Founding Member
Probably posted before but good to see Micron was looking into us all the way back in 2018
10.11.2018
SAN FRANCISCO — Micron Technology announced a $100 million venture fund with a focus on AI at a coming-out party for its new chief executive here. Sanjay Mehrotra, former CEO and co-founder of SanDisk, vowed to accelerate new product introductions at the company best known as one of the survivors of consolidation in commodity DRAMs.
It’s a challenging time for the memory and storage giant that trails larger rivals Samsung, SK Hynix, and Toshiba. Breakout products such as the Hybrid Memory Cube and Automata processor failed to gain significant traction and 3DXPoint memories co-designed with Intel hit delays, with revenues for Micron now pushed out to 2020.
On the positive side, the company hopes to sample 3DXPoint devices late next year. It will also enter the market for high-bandwidth memory stacks, initially with HBM2 in 2019.
In its core business, Micron has a DRAM-like product in the lab that it aims to sample in 2021. It has a process technology roadmap with three new nodes ramping into production. In addition, it is privately showing customers software to accelerate NAND storage performance 3x to 5x.
At the event here, executives made the case that the rise of deep learning will help drive demand for memory and storage. Its new fund aims to help it ride the wave with future investments in hardware, software, and services.
“This is not just about the money, but technology partnerships as well,” said Sumit Sadana, Micron’s chief business officer and a former executive at SanDisk, Freescale, and IBM. “We have some emerging memory technologies not yet in production that we will seek partners to help bring to market.”
Micron researchers are exploring the kinds of processor-on-memory architectures that startups such as Mythic and Syntiant hope to pioneer.
They are also bullish on so-called neuromorphic chips that use a mesh of synapse-like cores that companies such as BrainChip are pursuing.
It’s unclear when or how Micron will be able to turn the concepts into products.
“We have a lot of innovative work in memory and future architectures, some of them are focused on deep learning,” said Sadana. “We have grants from the U.S. government to investigate frontiers of processing in memory and deep-learning acceleration, but a lot of the work is extremely sensitive and confidential.”
It’s still early days for machine learning, said speakers from Amazon and Microsoft.
For example, developers are working to enable Amazon’s Alexa to understand context as well as multiple commands in a sentence, said Prem Natarajan, who heads up natural language work for the web giant. Microsoft recently released a service to let companies create their own voice assistants and aims to enable them to someday engage in realistic conversations, said Lili Cheng, who leads Microsoft’s AI research.
AI training could require 7x more DRAM and 2x more NAND in future servers. (Image: Micron)
Related IoT Content: ‘We think AI has a natural relationship with IoT,’ says top Microsoft exec
Micron execs remain bullish on its core DRAM roadmap as well as the outlook for 3DXPoint in both main memory and storage.
The company expects to use 3DXPoint in both dense, fast main memory products and storage that delivers lower latency than Intel’s current Optane drives. Micron’s stated plan of sampling in late 2019 for revenues in 2020 suggests that it is waiting for a second-generation 3DXPoint device that it is co-developing with Intel.
Executives declined to provide any product details or market projections. “Our belief is that [3DXPoint] becomes a meaningful part of the data center hierarchy that will cannibalize a nibble on either side [of DRAM and NAND], but the aggregate market grows quite a bit,” said Tom Eby, who runs Micron’s compute and networking group.
“3DXPoint is still in its infancy compared to DRAM and NAND,” said Jeff VerHeul, who oversees Micron’s development for it and non-volatile memories. “It will evolve and become more efficient.”
In its core DRAM sector, “we see at least three technology nodes beyond the one we are working in now … we have more visibility than we have had in the last decade,” said Scott DeBoer, head of tech development at Micron. That said, “the cost reduction and bit-density increase per node is slowing and is not at the pace of the last 20 years.”
Micron’s DRAM roadmap does not require extreme ultraviolet lithography and is already using double- and quad-patterning. Advanced circuit designs are enabling operation with less charge stored in taller capacitors than used in the past, but otherwise, the overall architecture is a conventional one, added DeBoer.
Micron is already shipping DRAMs made in its sub-20-nm 1x process and expects first revenue for some made in its 1y process next quarter, said Eby. The transition to 16-Gbit chips from today’s mainstream 8-Gbit designs is near, but he would not comment on the viability of a 32G design.
— Rick Merritt, Silicon Valley Bureau Chief, EE Times
And in below screenshot BrainChips Update for the March 2019 Quarter Micron is mentioned
Micron Places $100 Million AI Bet
By Rick Merritt10.11.2018
SAN FRANCISCO — Micron Technology announced a $100 million venture fund with a focus on AI at a coming-out party for its new chief executive here. Sanjay Mehrotra, former CEO and co-founder of SanDisk, vowed to accelerate new product introductions at the company best known as one of the survivors of consolidation in commodity DRAMs.
It’s a challenging time for the memory and storage giant that trails larger rivals Samsung, SK Hynix, and Toshiba. Breakout products such as the Hybrid Memory Cube and Automata processor failed to gain significant traction and 3DXPoint memories co-designed with Intel hit delays, with revenues for Micron now pushed out to 2020.
On the positive side, the company hopes to sample 3DXPoint devices late next year. It will also enter the market for high-bandwidth memory stacks, initially with HBM2 in 2019.
In its core business, Micron has a DRAM-like product in the lab that it aims to sample in 2021. It has a process technology roadmap with three new nodes ramping into production. In addition, it is privately showing customers software to accelerate NAND storage performance 3x to 5x.
At the event here, executives made the case that the rise of deep learning will help drive demand for memory and storage. Its new fund aims to help it ride the wave with future investments in hardware, software, and services.
“This is not just about the money, but technology partnerships as well,” said Sumit Sadana, Micron’s chief business officer and a former executive at SanDisk, Freescale, and IBM. “We have some emerging memory technologies not yet in production that we will seek partners to help bring to market.”
Micron researchers are exploring the kinds of processor-on-memory architectures that startups such as Mythic and Syntiant hope to pioneer.
They are also bullish on so-called neuromorphic chips that use a mesh of synapse-like cores that companies such as BrainChip are pursuing.
It’s unclear when or how Micron will be able to turn the concepts into products.
“We have a lot of innovative work in memory and future architectures, some of them are focused on deep learning,” said Sadana. “We have grants from the U.S. government to investigate frontiers of processing in memory and deep-learning acceleration, but a lot of the work is extremely sensitive and confidential.”
It’s still early days for machine learning, said speakers from Amazon and Microsoft.
For example, developers are working to enable Amazon’s Alexa to understand context as well as multiple commands in a sentence, said Prem Natarajan, who heads up natural language work for the web giant. Microsoft recently released a service to let companies create their own voice assistants and aims to enable them to someday engage in realistic conversations, said Lili Cheng, who leads Microsoft’s AI research.
Next page: Bullish on 3DXPoint and process tech
Related IoT Content: ‘We think AI has a natural relationship with IoT,’ says top Microsoft exec
Micron execs remain bullish on its core DRAM roadmap as well as the outlook for 3DXPoint in both main memory and storage.
The company expects to use 3DXPoint in both dense, fast main memory products and storage that delivers lower latency than Intel’s current Optane drives. Micron’s stated plan of sampling in late 2019 for revenues in 2020 suggests that it is waiting for a second-generation 3DXPoint device that it is co-developing with Intel.
Executives declined to provide any product details or market projections. “Our belief is that [3DXPoint] becomes a meaningful part of the data center hierarchy that will cannibalize a nibble on either side [of DRAM and NAND], but the aggregate market grows quite a bit,” said Tom Eby, who runs Micron’s compute and networking group.
“3DXPoint is still in its infancy compared to DRAM and NAND,” said Jeff VerHeul, who oversees Micron’s development for it and non-volatile memories. “It will evolve and become more efficient.”
In its core DRAM sector, “we see at least three technology nodes beyond the one we are working in now … we have more visibility than we have had in the last decade,” said Scott DeBoer, head of tech development at Micron. That said, “the cost reduction and bit-density increase per node is slowing and is not at the pace of the last 20 years.”
Micron’s DRAM roadmap does not require extreme ultraviolet lithography and is already using double- and quad-patterning. Advanced circuit designs are enabling operation with less charge stored in taller capacitors than used in the past, but otherwise, the overall architecture is a conventional one, added DeBoer.
Micron is already shipping DRAMs made in its sub-20-nm 1x process and expects first revenue for some made in its 1y process next quarter, said Eby. The transition to 16-Gbit chips from today’s mainstream 8-Gbit designs is near, but he would not comment on the viability of a 32G design.
— Rick Merritt, Silicon Valley Bureau Chief, EE Times
And in below screenshot BrainChips Update for the March 2019 Quarter Micron is mentioned
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Can we put competitors to bed with the following extract:
“Currently existing neuromorphic architectures include
• IBM TrueNorth,
• Intel Loihi,
• Tianjic,
• SpiNNaker,
• BrainScaleS,
• NeuronFlow,
• DYNAP, and
• Akida.
Some of the above architectures are fully neuromorphic [31,32], while other remain hybrid, meaning that they use asynchronous circuits together with synchronous proces- sors [33,34].
Despite the field being still in its infancy, the first commercial neuromorphic processor was made available worldwide in August 2021. It is Akida from Australian company BrainChip. Unfortunately, these hardware platforms are very expensive at the time of writing and (apart from Akida) not feasibly available.”
My opinion only DYOR
FF
AKIDA BALLISTA
“Currently existing neuromorphic architectures include
• IBM TrueNorth,
• Intel Loihi,
• Tianjic,
• SpiNNaker,
• BrainScaleS,
• NeuronFlow,
• DYNAP, and
• Akida.
Some of the above architectures are fully neuromorphic [31,32], while other remain hybrid, meaning that they use asynchronous circuits together with synchronous proces- sors [33,34].
Despite the field being still in its infancy, the first commercial neuromorphic processor was made available worldwide in August 2021. It is Akida from Australian company BrainChip. Unfortunately, these hardware platforms are very expensive at the time of writing and (apart from Akida) not feasibly available.”
My opinion only DYOR
FF
AKIDA BALLISTA
Evermont
Stealth Mode
No mention of said names during an earlier grilling.
BRN Discussion Ongoing
As we know, we've already been working with some DOD entities via 3rd parties but would think the inclusion to the IFS would now or in the future, provide some additional support & direct lines in with a major player like Intel. Recent article as below re Intels DIB...
thestockexchange.com.au
If it's under NDA?Sent an email to Tony, asking if the Company can comment
TechGirl
Founding Member
Very interesting, as it's been publicly posted on Teksun's home page.
This statement needs to either be confirmed or denied by Brainchip and have Teksun remove that as non-factual if that proves to be the case.
BrainChip is a technology company that develops advanced AI and machine learning solutions for edge devices. Their products and services are designed to enable the deployment of AI and machine learning deployment on edge devices without requiring significant power.
BrainChip's solutions have applications in various industries, including security, surveillance, automotive, and smart homes. The company has partnered with several companies, including Toshiba, Cisco, and Linaro, to integrate its technology into their products.
My opinion only.
Tech
I'm going to add another 'eye' to the 1000........ the 19th Hole! Never was it more evident that the golf course has become the new boardroom.Maybe I have selective hearing. Just my thought on the podcast.
"Ecosystem" = Essential in the tech industries
"Believes" = Benefits = Results AKD1000 AKD1500, AKD 2.0.
"Developer's" = Just Edge Impulse alone, 60000 developer's.
"Focus" = Management is focused in growing the business.
"Partners" ARM, Intel, SiFi, MegaChips, Socionext and more!
"AI is the most disruptive technology we are seeing in our lifetime"
"Inferencing" @ low-power at the edge= Akida
"Telchnology for today and tomorrow"
"Transformer" more to come
"Exciting year"
"Will take time" = Patience will be require.
Learning 🏖
Excellent post explaining Short selling ...FF
I see your son has been talking/educating you on this matter (and much more I presume)
I would like to add one other addition which most could understand to this list.
NAKED SHORT SELLING. this has recently gained much attention globally.
It is similar to the above demonstration by FF but with the difference being that any or all of those positions could be done "Naked" ........which means the underlying shares/asset was never held.
ie: CREATING shares to SELL from nothing! the playground of Insto and Market makers.
Also.................apparently a large pecentage of trading is done now .........on the DARK WEB between Market Makers etc ..........BEFORE being committed on the normal ASX trading platform.
a "Special Off Market" within the Market so to speak. This accounts also for price fixing arrangements.
ASX......a level, equal playing field for all ..............(so they say)
Yak52
TechGirl
Founding Member
After Teksun stated on their website that we are working with Toshiba, thought I would do a little digging.
Toshihide Fujiyoshi is the Project Manage from MegaChips & he reposted the press release - BrainChip Tapes Out AKD1500 Chip in Global Foundries 22nm FD SOI.
But before he joined MegaChips he worked at Toshiba for 17 years & 9 months
Toshihide Fujiyoshi is the Project Manage from MegaChips & he reposted the press release - BrainChip Tapes Out AKD1500 Chip in Global Foundries 22nm FD SOI.
But before he joined MegaChips he worked at Toshiba for 17 years & 9 months
This had dropped off my LidaR:
https://brainchip.com/brainchip-and...ng-neural-adaptive-processor-snap-technology/
BrainChip signs an agreement with the Cisco Internet of Everything Innovation Center to demonstrate BrainChip’s SNAP technology
Highlights- BrainChip signs an agreement with the Cisco Internet of Everything Innovation Center to demonstrate BrainChip’s SNAP technology;
- The first demonstration will commence in December of 2016 and showcase traffic monitoring and advanced analysis capabilities;
- A second demonstration focusing on an in-vehicle camera for hazard detection and road safety is also being developed as part of the agreement
ALISO VIEJO, CA — (Marketwired) — 12/02/16 — BrainChip Holdings Ltd. (ASX: BRN), (“BrainChip” or “the Company”), a leading developer of software and hardware accelerated solutions for Advanced Artificial Intelligence and Machine Learning applications, is pleased to announce that it has signed a collaboration agreement with the Cisco Internet of Everything Innovation Center (CIIC) to develop a series of demonstrations utilizing BrainChip’s Spiking Neuron Adaptive Processor (SNAP) technology.
CIIC is an industry and research collaboration center at Curtin University, established by Cisco with foundation partners Curtin University and Woodside Energy Limited. With access to advanced facilities and a global industry network, the CIIC is designed to build and foster innovation in an open environment to solve industry problems.
The first demonstration will showcase traffic monitoring and advanced analysis capabilities that will capitalize on the strength of the SNAP technology.
The SNAP Advantage
BrainChip’s SNAP technology can quickly learn, recognize and track complex objects in real time from multiple sources, such as video camera feeds.
The SNAP technology provides users a significant edge in a wide range of applications. Current traffic management systems must collect and store data, which then needs to be analyzed either manually or using an algorithm. This is a multi-stage process. In contrast, SNAP has the ability to perform the analysis on a single chip or circuit board with little instruction, making a SNAP-based solution significantly cheaper and faster to implement and maintain.
Demonstration One: Traffic Modeling and Advanced Analysis
Using SNAP technology, a computing platform connected to cameras placed at key locations on roads, end users can automatically:
- Identify vehicle types
- Count and categorize all vehicles
- Detect pedestrians
- Automatically produce real time traffic reports
Demonstration Two: In-Vehicle Camera Solution
BrainChip is also developing an in-vehicle platform utilizing the SNAP technology, leveraging Cisco’s products where applicable, to perform three types of information processing:
- Positioning will use GPS information to record the location and speed of vehicles
- Computer Vision for road sign identification and detection, pedestrian detection, object detection in front of the vehicle and alarm generation to alert the driver
- Data Analytics to create a driving report that will contain locations traveled, speed of the vehicle and objects detected on the journey.
Back in 2016, they were using BrainChip SNAP. It would be interesting to compare it to its great-great grandchild.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Greetings Earthlings,
Cisco is a no-brainer IMO because we've already worked with Cisco (and NASA and Amason and Lockheed Martin) IN OUTER SPACE in a collaboration that resulted in a new technology, christened, “Callisto" which also incorporated Cisco’s Webex communications.
Thanks to a yet undiclosed technology, otherwise known as AKIDA IMO
.
Cisco is a no-brainer IMO because we've already worked with Cisco (and NASA and Amason and Lockheed Martin) IN OUTER SPACE in a collaboration that resulted in a new technology, christened, “Callisto" which also incorporated Cisco’s Webex communications.
Thanks to a yet undiclosed technology, otherwise known as AKIDA IMO
.Interesting that Linaro refer to standardization and BrainChip have just announced Akida gen 2 has 8-bit compatibility, which all the big boys are talking about, and somewhere there was a reference to Akida gen 2 having 8-bit model libraries/weights and 4-bit activations.Wow,
Massive.
Cisco was always a possibility.
Toshiba is plausible.
Linaro looks good too and have a strong ARM connection:
View attachment 32156
Already a great day and still got the podcast to listen to!
TechGirl
Founding Member
After Teksun stated on their website that we are working with Toshiba, thought I would do a little digging.
Toshihide Fujiyoshi is the Project Manage from MegaChips & he reposted the press release - BrainChip Tapes Out AKD1500 Chip in Global Foundries 22nm FD SOI.
But before he joined MegaChips he worked at Toshiba for 17 years & 9 months
View attachment 32173
View attachment 32174
View attachment 32175
View attachment 32176
And a few interesting people have liked it the repost to
Principal Software Engineer | MCSD | Azure | .NET | gRPC
Lead investigator - Victorian Government
Senior Partner Manager - Arm
Customer Success Manager - Cloud Architect at IBM
Australian Army at Defence force
https://www.linkedin.com/in/ACoAAAxZ0dQBsW6wvYEzrN0H6ZEXBoZL-o1u-4w
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