And this presumably after the ARM IPO.
Emphasis on this: (Availability of v2.0)
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Emphasis on this: (Availability of v2.0)
Frangipani
Top 20
According to Google, it looks as if the below update was uploaded to the Brainchip website two days ago.
Can’t be long now until Akida 2.0 will become generally available (plus there are only three weeks left in Q3/2023
):
doc.brainchipinc.com
doc.brainchipinc.com
Can’t be long now until Akida 2.0 will become generally available (plus there are only three weeks left in Q3/2023
):Overview — Akida Examples documentation
Upgrading to Akida 2.0 — Akida Examples documentation
Rise from the ashes
Regular
Whoever's chummy with brn through contact either by phone or email
Can you ask if they are willing to send these guys a reference chip.
I'm fully prepared to pay for the chip and delivery costs upfront.
Can you ask if they are willing to send these guys a reference chip.
I'm fully prepared to pay for the chip and delivery costs upfront.
Cartagena
Regular
I'm sorely tempted to apply for this position but I can't leave Australia because of my cat and my partner. Also I'm not a Software Engineer which may be problematic.
View attachment 44201
View attachment 44202 View attachment 44206
Machine Learning Software Engineer - Tools in Cambridge at Arm
Learn more about and apply for the Machine Learning Software Engineer - Tools job in Cambridge at Armcareers.arm.com
I see Booze Allen Hamilton seem to think there is something on neuromorphic
Heather Via
Associate at Booz Allen Hamilton
1mo
In comparison to the brain, with artificial intelligence, there is no awareness, just computation. Machine learning is a subset of AI which uses algorithms and data sets to simulate human intelligence. In 2021, investment in AI reached $93.5 billion... and this trend will only continue to grow. Seek out opportunities to explore AI, machine learning and neuromorphic processing now - failing to do so inevitably means falling behind.
Booz Allen Hamilton
626,929 followers
1mo
There are three questions #AI leaders should consider when thinking about the future of AI ethics. Here they are: https://lnkd.in/egkJMUa2 xx
Watch this clip from Embedded World and talks about person detection using the M85 cortex. Renesas and ARM collaboration and I'm sure Brainchip is part of this
Instant-On AI Leverages Cortex-M85 MCU
April 17, 2023Renesas Electronics presented live demos of AI and machine-learning implementations on an MCU based on the Arm Cortex-M85 processor.
Alix Paultre
Related To: Electronic Design
Check out our embedded world 2023 coverage.
Renesas Electronics presented a live demonstration of AI and machine learning implementations on an MCU based on the Arm Cortex-M85 processor, showing how AI/ML applications can be addressed by the new Cortex-M85 core and Arm’s Helium technology.
One example of a demanding AI use case involved a people detection application developed along with Plumerai that identifies and tracks people in the camera frame in varying lighting and environmental conditions. Another was a motorcontrol predictive maintenance use-case with an AI-based unbalanced load detection application based on TensorFlow Lite for Microcontrollers with CMSIS-NN.
The compact and efficient tinyML models used show low-cost and lower-power AI solutions can serve a wide range of IoT implementations. Delivering over 6 CoreMark/MHz, the Arm Cortex-M85 offers Helium technology, Arm’s M-Profile Vector Extension, as part of the Armv8.1M architecture. The demos showcased the performance advantage in AI use cases, highlighting Cortex-M hallmarks such as deterministic operation, short interrupt response time, and low-power support.
Renesas is implementing the new Arm processor technology in its RA (Renesas Advanced) family of MCUs, along with a robust ecosystem of partners providing customers with comprehensive solutions. The Cortex-M85 core supports Arm TrustZone technology for protection of secure assets.
Combined with TrustZone, Renesas’ integrated cryptographic engine, immutable storage, key management, and tamper protection against DPA/SPA side-channel attacks will provide a comprehensive and integrated secure-element functionality. The Armv8-M architecture also brings Pointer Authentication/Branch Target Identification (PAC/BTI) security extension, delivering enhanced mitigation from software attack threats.
RA MCUs based on the Cortex-M85 core will be supported by Renesas’ Flexible Software Package (FSP), which provides all of the infrastructure software needed, including multiple RTOS, BSP, peripheral drivers, middleware, connectivity, networking, and security stacks as well as reference software. It enables customers to integrate their own legacy code and choice of RTOS with FSP, thus providing full flexibility in application development, easing the migration of existing designs to new RA-based devices.
Related links:
Link for video :
Instant-On AI Leverages Cortex-M85 MCU
Renesas Electronics presented live demos of AI and machine-learning implementations on an MCU based on the Arm Cortex-M85 processor.
Last edited:
Scalable Computing Infrastructure and Networking for AI and Edge
Computing infrastructure and networking from Arm enable scalable, secure AI and edge solutions with high performance and energy-efficient design.
www.arm.com
Good Morning Rise from the ashes,
The computer , HAL , will not obey your request for departure.....
. Appreciate your input.
Think this track sums it up pretty well.....
Regards,
Esq.
Cartagena
Regular
According to Google, it looks as if the below update was uploaded to the Brainchip website two days ago.
Can’t be long now until Akida 2.0 will become generally available (plus there are only three weeks left in Q3/2023
Overview — Akida Examples documentation
View attachment 44223
Upgrading to Akida 2.0 — Akida Examples documentation
View attachment 44224
Hi Frangipani,
This is a use case where I think Akida will be used as an embedded sensor. This sensor detects VOC's and air quality. The applications are enormous.
From my knowledge Akida was being used in another application which detected VOC's I just can't remember which one?
Source: Renesas website
Main navigation
- Products arrow_right
- Sensor Products arrow_right
- Environmental Sensors arrow_right
- Digital Gas Sensors arrow_right
- ZMOD4410
ZMOD4410
infoActiveSamples AvailableFirmware Configurable Indoor Air Quality (IAQ) Sensor with Embedded Artificial Intelligence (AI)
Order NowDownload DatasheetJump to Page Section:arrow_drop_down
Product TreeOpen product tree menu
Overview
Description
The ZMOD4410 gas sensor module is an easily integrated firmware configurable architecture enabling multiple sensing solutions with a common hardware platform. Simply download one of the firmware libraries that best supports your application from the Renesas website and integrate it with your host microcontroller. The JEDEC JESD47 qualified device supports 10+ years of life, supporting your indoor air quality (IAQ) application designed for detecting total volatile organic compounds (TVOCs), estimating CO2, and monitoring indoor air quality in different smell-based use cases, including very humid and dusty applications with the possibility of water spray, condensation or immersion. The miniature 12-LGA assembly consists of a gas sense element and a CMOS signal conditioning IC. The sensor is pre-calibrated with a signal conditioner controlling the sensor temperatures and measures the MOx conductivity, which is a function of the gas concentration. The measurement results can be read via an I2C interface with the user’s microprocessor, which processes the data. The ZMOD4410 is ideal for applications such as air purifiers, IAQ monitors, kitchen hoods, HVAC equipment, building controls, thermostats, smart fans, and other smart devices.expand_lessRead Less
, Enlarge image in dialog
, Enlarge image in dialog
, Enlarge image in dialog
Related post from Bravo in March this year-Watch this clip from Embedded World and talks about person detection using the M85 cortex. Renesas and ARM collaboration and I'm sure Brainchip is part of this
Instant-On AI Leverages Cortex-M85 MCU
April 17, 2023
Renesas Electronics presented live demos of AI and machine-learning implementations on an MCU based on the Arm Cortex-M85 processor.
Alix Paultre
Related To: Electronic Design
Check out our embedded world 2023 coverage.
Renesas Electronics presented a live demonstration of AI and machine learning implementations on an MCU based on the Arm Cortex-M85 processor, showing how AI/ML applications can be addressed by the new Cortex-M85 core and Arm’s Helium technology.
One example of a demanding AI use case involved a people detection application developed along with Plumerai that identifies and tracks people in the camera frame in varying lighting and environmental conditions. Another was a motorcontrol predictive maintenance use-case with an AI-based unbalanced load detection application based on TensorFlow Lite for Microcontrollers with CMSIS-NN.
The compact and efficient tinyML models used show low-cost and lower-power AI solutions can serve a wide range of IoT implementations. Delivering over 6 CoreMark/MHz, the Arm Cortex-M85 offers Helium technology, Arm’s M-Profile Vector Extension, as part of the Armv8.1M architecture. The demos showcased the performance advantage in AI use cases, highlighting Cortex-M hallmarks such as deterministic operation, short interrupt response time, and low-power support.
Renesas is implementing the new Arm processor technology in its RA (Renesas Advanced) family of MCUs, along with a robust ecosystem of partners providing customers with comprehensive solutions. The Cortex-M85 core supports Arm TrustZone technology for protection of secure assets.
Combined with TrustZone, Renesas’ integrated cryptographic engine, immutable storage, key management, and tamper protection against DPA/SPA side-channel attacks will provide a comprehensive and integrated secure-element functionality. The Armv8-M architecture also brings Pointer Authentication/Branch Target Identification (PAC/BTI) security extension, delivering enhanced mitigation from software attack threats.
RA MCUs based on the Cortex-M85 core will be supported by Renesas’ Flexible Software Package (FSP), which provides all of the infrastructure software needed, including multiple RTOS, BSP, peripheral drivers, middleware, connectivity, networking, and security stacks as well as reference software. It enables customers to integrate their own legacy code and choice of RTOS with FSP, thus providing full flexibility in application development, easing the migration of existing designs to new RA-based devices.
Related links:
Link for video :
Instant-On AI Leverages Cortex-M85 MCU
Renesas Electronics presented live demos of AI and machine-learning implementations on an MCU based on the Arm Cortex-M85 processor.www.electronicdesign.com
Post in thread 'BRN Discussion Ongoing'
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-259483
Ah yes, and if you scroll down a bit from Bravo's post back in March a few are raving about 48c being an absolute bargain. Only 6 months later and look where we are. This has been a difficult year for BRN shareholders, so far.
Cartagena
Regular
Thanks Jchandel, we are in the right place at the right time. If we can leverage the power of Renesas and ARM, success is guaranteed.
Still cannot believe how we are at 30 cents with all the new potential products that can hit the market in the near future.
The following exerpt from Renesas regarding winning combinations does not mention Akida but it's obvious that it will be incorporated into many use cases including the smart doorbells, AI embedded air sensor, list goes on
These Winning Combinations accelerate time to market for automotive, industrial, infrastructure and IoT applications, enabling billions of connected, intelligent devices that enhance the way people work and live.
Actually the original find was made by @IloveLamp
. This goes into a bit more detail. Post in thread 'BRN Discussion Ongoing'
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-70441
Frangipani
Top 20
Hi Frangipani,
This is a use case where I think Akida will be used as an embedded sensor. This sensor detects VOC's and air quality. The applications are enormous.
From my knowledge Akida was being used in another application which detected VOC's I just can't remember which one?
Source: Renesas website
Main navigation
- Products arrow_right
- Sensor Products arrow_right
- Environmental Sensors arrow_right
- Digital Gas Sensors arrow_right
- ZMOD4410
ZMOD4410
infoActiveSamples Available
Firmware Configurable Indoor Air Quality (IAQ) Sensor with Embedded Artificial Intelligence (AI)
Order NowDownload Datasheet
Jump to Page Section:arrow_drop_down
Product TreeOpen product tree menu
Overview
Description
The ZMOD4410 gas sensor module is an easily integrated firmware configurable architecture enabling multiple sensing solutions with a common hardware platform. Simply download one of the firmware libraries that best supports your application from the Renesas website and integrate it with your host microcontroller. The JEDEC JESD47 qualified device supports 10+ years of life, supporting your indoor air quality (IAQ) application designed for detecting total volatile organic compounds (TVOCs), estimating CO2, and monitoring indoor air quality in different smell-based use cases, including very humid and dusty applications with the possibility of water spray, condensation or immersion. The miniature 12-LGA assembly consists of a gas sense element and a CMOS signal conditioning IC. The sensor is pre-calibrated with a signal conditioner controlling the sensor temperatures and measures the MOx conductivity, which is a function of the gas concentration. The measurement results can be read via an I2C interface with the user’s microprocessor, which processes the data. The ZMOD4410 is ideal for applications such as air purifiers, IAQ monitors, kitchen hoods, HVAC equipment, building controls, thermostats, smart fans, and other smart devices.
expand_lessRead Less
, Enlarge image in dialog
, Enlarge image in dialog
, Enlarge image in dialog
Hi Cartagena,
you were probably thinking of Prof. Hossam Haick’s NaNose (see the
Thread 'BrainChip + Nanose' https://thestockexchange.com.au/threads/brainchip-nanose.2346/)?
Besides that confirmed use of Akida (to this day, there is however no commercial availability of the NaNose breathaliser), there has also been some speculation here on TSE about Akida possibly being integrated into various gas sensors such as those by Bosch (eg
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-38166 or https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-354750)
or into said Renesas gas sensor (https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-273219 and
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-306526), which all happened to be “liked” by Rob Telson. Which may or may not mean anything.
In addition, I posted an update on NASA’s testing of VOC devices a couple of weeks ago
https://thestockexchange.com.au/threads/brn-nasa.4/post-306527 - but again no concrete mention of Akida.
Rise from the ashes
Regular
Good Morning Rise from the ashes,
The computer , HAL , will not obey your request for departure.....
Appreciate your input.
Think this track sums it up pretty well.....
Regards,
Esq.
Thank you good sir. Still pondering if I should be filled with the emotion of being appreciated/wanted or in fear of my life Xhosa12345
Regular
Yep love it how ppl say things online they wouldnt have cohunas to say to ppls faces...
Are we finally going to see a pullback of the shorts? Hopefully!
Go the pies, but we were lucky...
and yes i know i need to charge my phone....
Happy weekend all!
Hi Frangipani,
Akida 2 has some great performance benchmarks:
"Multi-head attention included in hardware implementation of Transformer Encoder block with configurations from 2 to 12 nodes. A two-node configuration at 800 MHz executes TinyViT at 30 fps (224x224x3)."
I thought ViT was only available on the Akida 2P (8 to 128 nodes), but running 2 nodes (Akida 2E) at 800 MHz, it can process 30 fps on TinyViT. Akida 1 normally runs at 300MHz.
TinyViT is a recent Microsoft developed small image model which is compressed from large models, and may be important in future AGI developments:
https://arxiv.org/pdf/2207.10666.pdf (20220721)
Akida 2 has some great performance benchmarks:
"Multi-head attention included in hardware implementation of Transformer Encoder block with configurations from 2 to 12 nodes. A two-node configuration at 800 MHz executes TinyViT at 30 fps (224x224x3)."
I thought ViT was only available on the Akida 2P (8 to 128 nodes), but running 2 nodes (Akida 2E) at 800 MHz, it can process 30 fps on TinyViT. Akida 1 normally runs at 300MHz.
TinyViT is a recent Microsoft developed small image model which is compressed from large models, and may be important in future AGI developments:
https://arxiv.org/pdf/2207.10666.pdf (20220721)
Fastback6666
Regular
Good to see you are still around mate. I would not take anything too personally on any forum especially when a share price of the stock in discussion is being hammered down.
Some people/investors go into that mass fear and anger mode and just start taking it out in individual’s and the company. Some may well be warranted against the company but in the end the person just needs to deal with their anger personally or take up their issues with the company or sell out.
Ideallly no one wants to be invested on stock that has fallen so much. But hey that is the real reality for any company that is pre-royalty revenue, in the end everyone has to know that there needs to be ongoing sustaining revenue shown to maintain a share price. Until we see this quantified in an announcement (partnership with money attached) or see it in the balance sheet then the SP will just move up and down a lot, not a lot we can do apart with raising issues with the company and push for a more comprehensive shareholder communications plan around prospects and revenue.
We have to see the current times as an opportunity if you still believe in what Brainchip have and the extensive partners they are working with. Time in partner development now has been extensive of many many years so you would expect something has to give up some revenue soon in royalties.
While the bulk revenue may not have been as early as hoped for Akida 1000 it seems like it still will happen and more Brainchip products on the market and some driven by specific customer/partner wants and needs is a great sign and magnifies possibilities for revenue.
Partners are clearly still there and interest is still growing on BRN tech and product pipeline, so just remember the 30 cent opportunity. If people here were buying in the past with less partners and less products at 50 cents or 80 cents or higher then….food for thought.
Last edited:
wilzy123
Founding Member
Fullmoonfever
Top 20
Wider impact of supply chains and products coming to market.
Can obviously create knock on effect to take up to an extent.
Though, BRN (& Megachips / Renesas) need to ensure they do have some additional deals stitched up in the background given the comment on accelerators....including neuromorphic.
www.constellationr.com
SEP 5, 2023
By Larry Dignan
Lead times for systems for generative AI and AI workloads are lengthy to the point where infrastructure ordered today may not be installed until Spring 2024.
That's the takeaway from a bevy of earnings conference calls from infrastructure providers. Dell
Technologies reported better-than-expected second quarter results and noted that its PowerEdge XE9680 GPU-enabled server is the fastest ramping product it has launched.
Dell's problem: Orders are off the charts, but parts--namely GPUs--are hard to come by even though the company has a strong partnership with Nvidia. Dell Chief Operating Officer Jeff Clarke said the company has about $2 billion of XE9680 orders in backlog with a higher sales pipeline.
Yes, generative AI investment is taking off. But the revolution--and the enterprise use cases on premises and locally--will be delayed due to supply and demand imbalances. Clarke later put a number on the backlog issue (emphasis mine):
A few notable takeaways from Clarke's comments:
AMD is the likely beneficiary with its fourth quarter ramp of next-generation GPUs.
This GPU supply issue is also affecting other infrastructure players.
HPE CEO Antonio Neri said on the company's latest earnings call:
Neri added that he's pleased with the quality of AI deals the company is making. HPE, like Dell, is building a lineup that aims for a portfolio of gear for AI training to tuning to inferencing for enterprises looking at domain-specific models.
Broadcom CEO Hock Tan said AI systems take time and supply issues are going to impact a bevy of infrastructure players.
"These products for generative AI take long lead times," said Tan. "We're trying to supply, like everybody else wants to have, within lead times. You have constraints. And we're trying to work through the constraints, but it's a lot of constraints. And you'll never change as long as demand, orders flow in shorter than the lead time needed for production."
According to Intel CEO Pat Gelsinger, who spoke at an investor conference last week, competitors will start grabbing some of that GPU demand. Intel's entry in the GPU and AI accelerator race is its Gaudi lineup. Gaudi is a line of AI accelerators built off the acquisition of Habana in 2019.
Gelsinger said Nvidia "has a great leadership position," but "there's a bit of false economy there." He said there's huge demand, high prices and supply chain constraints for Nvidia GPUs but that won't last forever. "Lots of people are showing up, including us, to compete," said Gelsinger. "We've seen a rapid expansion of our Gaudi pipeline. We're building our supply chains to get much larger for our footprint there as we start competing as well as others will."
Intel's argument is that GPUs and CPUs will be used for AI models and enterprises will follow pricing vs returns. "There is a bit of euphoria so overall I expect to see more moderation," he said. "We're going to be competing more for the GPU and accelerator, but we also see workloads driving energy that will create opportunities for our CPU offerings as well."
Can obviously create knock on effect to take up to an extent.
Though, BRN (& Megachips / Renesas) need to ensure they do have some additional deals stitched up in the background given the comment on accelerators....including neuromorphic.
Lead times for generative AI systems extending into 2024
Lead times for systems for generative AI and AI workloads are lengthy to the point where infrastructure ordered today may not be installed until Spring 2024. That's the takeaway from a bevy of earnings conference calls from infrastructure providers. Dell Technologies reported...
SEP 5, 2023
Lead times for generative AI systems extending into 2024
By Larry DignanLead times for systems for generative AI and AI workloads are lengthy to the point where infrastructure ordered today may not be installed until Spring 2024.
That's the takeaway from a bevy of earnings conference calls from infrastructure providers. Dell
Technologies reported better-than-expected second quarter results and noted that its PowerEdge XE9680 GPU-enabled server is the fastest ramping product it has launched.
Dell's problem: Orders are off the charts, but parts--namely GPUs--are hard to come by even though the company has a strong partnership with Nvidia. Dell Chief Operating Officer Jeff Clarke said the company has about $2 billion of XE9680 orders in backlog with a higher sales pipeline.
Yes, generative AI investment is taking off. But the revolution--and the enterprise use cases on premises and locally--will be delayed due to supply and demand imbalances. Clarke later put a number on the backlog issue (emphasis mine):
A few notable takeaways from Clarke's comments:
- Nvidia has big investments in its supply chain and is moving GPUs at a rapid clip. Hyperscale cloud providers are gobbling up systems.
- Enterprises are looking to train models on-premises too. That migration rhymes with how enterprises are re-evaluating public cloud workloads.
- Supply will improve as Nvidia rivals come online with GPUs and accelerators.
- AI workloads will reshape data center demand.
AMD is the likely beneficiary with its fourth quarter ramp of next-generation GPUs.
This GPU supply issue is also affecting other infrastructure players.
HPE CEO Antonio Neri said on the company's latest earnings call:
Neri added that he's pleased with the quality of AI deals the company is making. HPE, like Dell, is building a lineup that aims for a portfolio of gear for AI training to tuning to inferencing for enterprises looking at domain-specific models.
Broadcom CEO Hock Tan said AI systems take time and supply issues are going to impact a bevy of infrastructure players.
"These products for generative AI take long lead times," said Tan. "We're trying to supply, like everybody else wants to have, within lead times. You have constraints. And we're trying to work through the constraints, but it's a lot of constraints. And you'll never change as long as demand, orders flow in shorter than the lead time needed for production."
According to Intel CEO Pat Gelsinger, who spoke at an investor conference last week, competitors will start grabbing some of that GPU demand. Intel's entry in the GPU and AI accelerator race is its Gaudi lineup. Gaudi is a line of AI accelerators built off the acquisition of Habana in 2019.
Gelsinger said Nvidia "has a great leadership position," but "there's a bit of false economy there." He said there's huge demand, high prices and supply chain constraints for Nvidia GPUs but that won't last forever. "Lots of people are showing up, including us, to compete," said Gelsinger. "We've seen a rapid expansion of our Gaudi pipeline. We're building our supply chains to get much larger for our footprint there as we start competing as well as others will."
Intel's argument is that GPUs and CPUs will be used for AI models and enterprises will follow pricing vs returns. "There is a bit of euphoria so overall I expect to see more moderation," he said. "We're going to be competing more for the GPU and accelerator, but we also see workloads driving energy that will create opportunities for our CPU offerings as well."
Terroni2105
Founding Member
not sure if this was posted already? Anyway it’s good for a second look.
Sunil is a senior guy at Tata Elxsi
Sunil is a senior guy at Tata Elxsi
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