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I don’t! Better expect nothing…then you can not get disappointed
BRN Discussion Ongoing
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Frangipani
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Strictly speaking, Jonathan Tapson is not a new hire, as he has in fact been working for us at least since April.
Three months ago, I had spotted him in a picture posted on LinkedIn by Frontgrade Gaisler, showing him standing next to their CEO Sandi Habinc at their booth at the Space Symposium’s Exhibit Center in Colorado Springs, wearing a lanyard with a conference badge that identified him as a representative of our company. The caption above the photo also stated he was from BrainChip and that he was visiting Frontgrade Gaisler’s booth to “discuss neuromorphic processing for space applications.”
(Less than a month later, BrainChip and Frontgrade Gaisler officially announced their collaboration “to explore the integration of BrainChip’s Akida TM neuromorphic processor into Frontgrade Gaisler’s next-generation fault-tolerant, radiation-hardened microprocessors”.
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-421614)
To (re)read my original and the ensuing posts:
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-418644
While some users here and elsewhere speculated that I could be wrong and that Jonathan Tapson was possibly just a visitor or guest of BrainChip (some even failed to notice that the photo was taken in Colorado and mistook the Frontgrade Gaisler booth there for our booth at the 2024 embedded world - a totally different conference concurrently taking place in Germany), @mrgds kindly enquired with Investor Relations whether or not Jonathan Tapson was indeed working for us, which was subsequently confirmed:
So from our outward perspective pretty much the only thing that has since changed is that Jonathan Tapson stepped down from his position as CTO at Iona Tech last month and is now working for us full-time as a Senior R&D Consultant.
However, I am afraid I can’t answer the legitimate question why his previous part-time consultancy engagement with BrainChip (at least April - May 2024, if not longer) is not at all reflected in his LinkedIn work experience.
Given that his LinkedIn profile now says he is “Exploring options in Hardware and AI” and that he continues to be engaged as a consultant rather than having become a member of the BrainChip C-suite could in my eyes point to him seeing himself working full-time for us only temporarily. Either because he already has another adventure in mind - likely as a CEO or CTO somewhere, if not returning to academia - or alternatively it could signify that we are currently not able to pay him a competitive compensation package for a more permanent position with us (I am pretty sure our company could otherwise have come up with a creative title and role for him).
Anyway, taking into account his decades-long expertise in things neuromorphic as well as his large professional network reaching all around the globe, I love having him aboard the BrainChip bus, regardless of how short or long his ride with us will be!
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Fullmoonfever
Top 20
Obviously we know about the edge box but this is a decent summary article written on a Chinese site.
makerpro.cc
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Author: Lu Xiangyang
Figure 1 Akida Edge AI Box (left) and artistic AKD1000 chip (right) (Image source: brainchip)
BrainChip is an Australian technology company. The company's main business is to design and sell AI acceleration circuits. The target customers are chip manufacturers. It is expected that chip manufacturers will adopt the AI hardware acceleration circuit design developed by BrainChip and pay technology licensing fees and subsequent chip mass production. The business model is similar to the well-known Arm.
In order to accelerate the chip manufacturer's evaluation and adoption of the company's acceleration circuit design, BrainChip actually launched Akida1000 Ref SoC (AKD1000 for short), which is a reference system-on-chip. The main body in the chip is BrainChip's AI acceleration circuit, which is called Akida.
The so-called "reference" means that this is not the main business of BrainChip, but just a technology demonstration to facilitate potential buyers to evaluate the company's technology. There is no intention to mass-produce and sell the chip. ( BrainChip officially emphasized that the chip uses TSMC’s 28nm process
Figure 2 Main functions inside the AKD1000 chip (Image source: brainchip)
However, BrainChip seems to feel that it has not done enough. It should give more terminal AI application developers the opportunity to come into contact with BrainChip's technology, experience its advantages and value, and then help promote its technology licensing business. Therefore, BrainChip Corporation, in collaboration with VVDN Technologies, a software and hardware design and manufacturing service provider, launched the Akida Edge AI Box.
It is worth noting that BrainChip actually already has a second-generation Akida acceleration circuit, but it has not yet been made into Ref SoC, so it is not used in the Akida Edge AI Box. Second-generation acceleration circuits have some new features, such as event-based temporal neural networks (Temporal Event-based Neural Nets, TRNNs), or visual transformation (Vision Transformer, ViT).
In addition to reference chips, BrainChip also provides other technical supporting facilities, such as launching a software development environment called MetaTF, which can convert ready-made TensorFlow models, build and train new models, convert CNNs into SNNs, etc. It also provides converted software execution environment, called Akida Runtime.
In order to promote Akida Edge AI Box, BrainChip has once again entered the software field like MetaTF. It promises to launch an operating system based on the Linux 6.1 core for Akida Edge AI Box to use. It also provides multiple Edge AI demonstration applications to potential users. Engineers who want to develop Edge AI can evaluate and use BrainChip's circuit technology faster.
Figure 3 MetaTF development tool, schematic diagram of environmental functions (Image source: BrainChip)
As for VVDN, it also pays attention to the system design of Akida Edge AI Box. For example, the machine uses passive heat dissipation entirely from heat sinks, which saves power, stability, cost, and silence compared to active electric fans.
In addition, Akida Edge AI Box has a USB 3.0 Type-A interface and a Micro-USB interface, which can be used to update firmware or debug; then it has an HDMI video output, 4GB LPDDR memory, and 32GB eMMC storage space, plus a Micro-SDXC specification card slot, which can access memory cards with a maximum capacity of 1TB; then there are two sets of Wi-Fi wireless networks、 For two sets of GbE cable networks, VVDN stated that GbE is mainly used to connect cameras, but basic sales do not include cameras.
In terms of power supply, the Akida Edge AI Box uses a 12V DC power supply. Even if the official does not come with a power supply or the power supply fails, it is easy to find an alternative transformer.
The second is that Akida Edge AI Box can only be regarded as one member hardware of Akida Enablement Platforms in the eyes of BrainChip. Other member hardware is Akida PCIe Board, Akida Development Kit Shuttle PC, and Akida Development Kit Raspberry Pi.
To put it more simply, software developers who want to evaluate BrainChip technology have four hardware options. The Akida Edge AI Box in open pre-order is one of the four. In fact, the Akida Edge AI Box is similar to the Akida Development Kit Raspberry Pi. The difference is that the Akida Development Kit Raspberry Pi is equipped with an Akida PCIe Board with an acceleration chip, while the Akida Edge AI Box is equipped with two on the system circuit board， It has higher acceleration, and the entire body is relatively compact and petite.
In addition, an Akida PCIe Board alone costs US$499, and both the Akida Development Kit Shuttle PC and Akida Development Kit Raspberry Pi are currently sold out (late February). In this way, the US$799 Akida Edge AI Box is quite attractive.
Figure 4 The PCIe Board with one AKD1000 chip costs $499, and the Akida Edge AI Box with two chips costs $799 (Image source: brainchip)
(Editor: Xie Jiaxun.)
Lu Xiangyang
After graduating from the Department of Electronics, he continued this indissoluble bond with "electronic technology" as a media person. He has successively served as an author of electronic technology books, electronic media reporters, analysts, etc., and continues to write. Recently, I have invested in research and tutorial introduction of open hardware such as Arduino and Raspberry Pi.
不只是評估套件？BrainChip推出Akida Edge AI Box閘道器
BrainChip與VVDN Technologies合作，推出了Akida Edge AI Box，本篇文章...
makerpro.cc
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Not just an evaluation kit? BrainChip launches Akida Edge AI Box Gateway
Author: Lu Xiangyang
Figure 1 Akida Edge AI Box (left) and artistic AKD1000 chip (right) (Image source: brainchip)
BrainChip is an Australian technology company. The company's main business is to design and sell AI acceleration circuits. The target customers are chip manufacturers. It is expected that chip manufacturers will adopt the AI hardware acceleration circuit design developed by BrainChip and pay technology licensing fees and subsequent chip mass production. The business model is similar to the well-known Arm.
In order to accelerate the chip manufacturer's evaluation and adoption of the company's acceleration circuit design, BrainChip actually launched Akida1000 Ref SoC (AKD1000 for short), which is a reference system-on-chip. The main body in the chip is BrainChip's AI acceleration circuit, which is called Akida.
The so-called "reference" means that this is not the main business of BrainChip, but just a technology demonstration to facilitate potential buyers to evaluate the company's technology. There is no intention to mass-produce and sell the chip. ( BrainChip officially emphasized that the chip uses TSMC’s 28nm process
Figure 2 Main functions inside the AKD1000 chip (Image source: brainchip)
However, BrainChip seems to feel that it has not done enough. It should give more terminal AI application developers the opportunity to come into contact with BrainChip's technology, experience its advantages and value, and then help promote its technology licensing business. Therefore, BrainChip Corporation, in collaboration with VVDN Technologies, a software and hardware design and manufacturing service provider, launched the Akida Edge AI Box.
Akida Edge AI Box
The Akida Edge AI Box is a complete computer with a circuit board and an organic shell. It is equipped with 2 AKD1000s mentioned above. However, after all, the AKD1000 focuses on AI acceleration, and the internal control processing unit is weak, so the overall system still needs a master control chip. For this VVDN uses an i.MX 8M Plus processor chip from NXP. In order to make AI computing as fast as possible, AKD1000 has a PCI Express interface, which is used to communicate with i. MX 8M Plus processor chip.It is worth noting that BrainChip actually already has a second-generation Akida acceleration circuit, but it has not yet been made into Ref SoC, so it is not used in the Akida Edge AI Box. Second-generation acceleration circuits have some new features, such as event-based temporal neural networks (Temporal Event-based Neural Nets, TRNNs), or visual transformation (Vision Transformer, ViT).
In addition to reference chips, BrainChip also provides other technical supporting facilities, such as launching a software development environment called MetaTF, which can convert ready-made TensorFlow models, build and train new models, convert CNNs into SNNs, etc. It also provides converted software execution environment, called Akida Runtime.
In order to promote Akida Edge AI Box, BrainChip has once again entered the software field like MetaTF. It promises to launch an operating system based on the Linux 6.1 core for Akida Edge AI Box to use. It also provides multiple Edge AI demonstration applications to potential users. Engineers who want to develop Edge AI can evaluate and use BrainChip's circuit technology faster.
Figure 3 MetaTF development tool, schematic diagram of environmental functions (Image source: BrainChip)
As for VVDN, it also pays attention to the system design of Akida Edge AI Box. For example, the machine uses passive heat dissipation entirely from heat sinks, which saves power, stability, cost, and silence compared to active electric fans.
In addition, Akida Edge AI Box has a USB 3.0 Type-A interface and a Micro-USB interface, which can be used to update firmware or debug; then it has an HDMI video output, 4GB LPDDR memory, and 32GB eMMC storage space, plus a Micro-SDXC specification card slot, which can access memory cards with a maximum capacity of 1TB; then there are two sets of Wi-Fi wireless networks、 For two sets of GbE cable networks, VVDN stated that GbE is mainly used to connect cameras, but basic sales do not include cameras.
In terms of power supply, the Akida Edge AI Box uses a 12V DC power supply. Even if the official does not come with a power supply or the power supply fails, it is easy to find an alternative transformer.
Akida Edge AI Box Hardware Selection
Finally, there are two points to explain. First, the Akida Edge AI Box was announced as early as December 2023, and pre-orders were only open in February. It is initially speculated that the official release will not be until July 2024. The specific shipment time will be announced in April. The current price is $799.The second is that Akida Edge AI Box can only be regarded as one member hardware of Akida Enablement Platforms in the eyes of BrainChip. Other member hardware is Akida PCIe Board, Akida Development Kit Shuttle PC, and Akida Development Kit Raspberry Pi.
To put it more simply, software developers who want to evaluate BrainChip technology have four hardware options. The Akida Edge AI Box in open pre-order is one of the four. In fact, the Akida Edge AI Box is similar to the Akida Development Kit Raspberry Pi. The difference is that the Akida Development Kit Raspberry Pi is equipped with an Akida PCIe Board with an acceleration chip, while the Akida Edge AI Box is equipped with two on the system circuit board， It has higher acceleration, and the entire body is relatively compact and petite.
In addition, an Akida PCIe Board alone costs US$499, and both the Akida Development Kit Shuttle PC and Akida Development Kit Raspberry Pi are currently sold out (late February). In this way, the US$799 Akida Edge AI Box is quite attractive.
Figure 4 The PCIe Board with one AKD1000 chip costs $499, and the Akida Edge AI Box with two chips costs $799 (Image source: brainchip)
Summary
The author believes that the most suitable role of the Akida Edge AI Box is the IoT gateway. In addition to transmitting, converting, and temporarily storing the data uploaded by the sensor, it also conducts immediate AI inference and judgment on the sensed data, that is, it exerts the power of Edge AI, but I believe that in addition There are many more wonderful possibilities. Let’s see how creative makers can play it.(Editor: Xie Jiaxun.)
Lu Xiangyang
After graduating from the Department of Electronics, he continued this indissoluble bond with "electronic technology" as a media person. He has successively served as an author of electronic technology books, electronic media reporters, analysts, etc., and continues to write. Recently, I have invested in research and tutorial introduction of open hardware such as Arduino and Raspberry Pi.
Thanks Fmf,
A very positive writeup.
Things that could have been better expressed -
"the internal control processing unit is weak"
How about:
"While Akida has an internal microprocessor to configure the NN, it is capable of functioning together with an external CPU to utilize the AI inference/classification carried out by Akida".
I'd missed this news:
"It promises to launch an operating system based on the Linux 6.1 core for Akida Edge AI Box to use."
Also interesting that he quotes VVDN:
"For two sets of GbE cable networks, VVDN stated that GbE is mainly used to connect cameras, but basic sales do not include cameras."
A very positive writeup.
Things that could have been better expressed -
"the internal control processing unit is weak"
How about:
"While Akida has an internal microprocessor to configure the NN, it is capable of functioning together with an external CPU to utilize the AI inference/classification carried out by Akida".
I'd missed this news:
"It promises to launch an operating system based on the Linux 6.1 core for Akida Edge AI Box to use."
Also interesting that he quotes VVDN:
"For two sets of GbE cable networks, VVDN stated that GbE is mainly used to connect cameras, but basic sales do not include cameras."
Fullmoonfever
Top 20
Yeah, thought there was some potentially additional info in there and to add to the comment about the control processing, need remember this was written in Chinese and run via a translator so never know how exactly it was translated I guess.
DingoBorat
Slim
"Given that his LinkedIn profile now says he is “Exploring options in Hardware and AI” and that he continues to be engaged as a consultant rather than having become a member of the BrainChip C-suite could in my eyes point to him seeing himself working full-time for us only temporarily. Either because he already has another adventure in mind - likely as a CEO or CTO somewhere, if not returning to academia - or alternatively it could signify that we are currently not able to pay him a competitive compensation package for a more permanent position with us (I am pretty sure our company could otherwise have come up with a creative title and role for him)"
I'm not sure what's wrong with the title of "Senior R&D Consultant"?
I don't think it's got anything to do with us not paying him what he's worth..
Maybe it's different in Germany, but my understanding, is that anything with "Consultant" attached to the title, usually means they are getting very well paid, for their input..
Although it does mean he may only hold that position until he's fulfilled some particular purpose, it could be a few months, or years..
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DingoBorat
Slim
The Brainchip website does say it supports Linux 6.1..
But what about..
"For example, the machine uses passive heat dissipation entirely from heat sinks, which saves power, stability, cost, and silence compared to active electric fans"
I thought they did end up adding a fan, or is that just a vent?
I recall an earlier version had 4 holes in a fan shaped arrangement and the first images we saw, of the Edge Box, had no openings at all?..
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Frangipani
Top 20
Ah, I see.
I was under the impression that a Senior Consultant was more of an upper mid-level role, which would mean that this now being his full-time job, it would be a few steps down the career ladder for him, after two decades of being a university professor both in South Africa and then in Australia (as well as Director of the MARCS institute at WSU for two years), followed by company positions as CSO (GrAI Matter Labs) and CTO (IONA Tech).
Somehow I would have expected a gentleman of his calibre to fill a position with a fancier title - existing or newly created, such as CNO (Chief Neuromorphic Officer).
After a quick Google search, it appears the corporate hierarchy is indeed not standardised. Most of the examples of Senior Consultants I found referred to positions in consulting companies, but even they differ:
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Frangipani
Top 20
Was it someone else who suggested you better edit in some “joking” comment half an hour after posting the video on its own, in order to somewhat distract from your thinly veiled attack on me, or was it your own idea?
To save others from googling, here are the charming lyrics of the song to which those five Korean ladies are performing their choreographed dance moves:
Here To Dance (by The Veronicas)
Blood on the floor, look what they started
Hungry for more, they're spitting garbage
I'm getting bored and broken hearted
They won't ever get the best of me
You all need to stop
Not gonna listen to that blah blah blah
Someone's always talking - I don't wanna hear it
All that noise is toxic
I just want to feel this bass inside my body
And this moment in my hands
I don't care who's watching, I'm just here to dance
I'm just here to dance
I'm just here to dance
No time for tears, I'm busy sweating
Come over here, teach you a lesson
If you need a sign, I'll be your heaven
Yeah you'll only get the best of me
You all need to stop
Not gonna listen to that blah blah blah
(I'm not gonna listen)
Someone's always talking - I don't wanna hear it
All that noise is toxic
I just want to feel this bass inside my body and this moment in my hands
I don't care who's watching, I'm just here to dance
I'm just here to dance
I'm just here to dance
I'm just here to dance
I'm just here to dance
Yeah, whatever…
Why don’t you simply get yourself noise-cancelling headphones, then?
And just for the record - I didn’t start the fire.
Instead of replying to my post with the sole intention of insulting me, you could have easily used the time to educate yourself about the difference between tap dancing and line dancing. Let me thus suggest the following video, in which a cat that I find heaps cooler than you will show you how to tap dance (from 1:20 min):
Pom down under
Top 20
Pom down under
Top 20
FiveBucks
Regular
I've had that feeling every week for two years!!
Bravo
Meow Meow 🐾
Vorago FPGA doesn't include us I'm afraid. 
This is probably why Frontgrade are looking to us to help them make the first space-grade SoC with neuromorphic AI to compete with the Vorago/AMD FPGA.
VORAGO rad-hard MCU enables in-flight reconfiguration of AMD space-grade FPGAs
JULY 7, 2024Share
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AMD and VORAGO Technologies recently announced that AMD Space-Grade KintexUltraScale FPGAs (Field Programmable Gate Arrays) can be reconfigured by VORAGO’s radiation hardened microcontrollers (rad-hard MCUs), increasing reliability and flexibility while adding radiation hardness to existing radiation-tolerant AMD FPGA-based systems.
Joining market-leading FPGAs from AMD with best-in-class, radiation-hardened MCUs from VORAGO greatly increases flexibility in FPGA reconfiguration. Pairing a VORAGO rad-hard MCU with AMD’s FPGA allows updates to be managed in-flight via the MCU. This solution uses AMD’s serial reconfiguration interface, simplifying reprogramming versus traditional methods. This new solution that will help customers achieve high reliability for critical applications in space missions.
In this solution, the MCU firmware enables the FPGA to be reconfigured after the system is deployed, allowing new features and bug fixes to be added later, and enables a multitude of mission modes and profiles. An application note and proof of concept are available based on an AMD XQRKU060 FPGAinterfacing to a VORAGO VA41620 MCU.
AMD Kintex™ UltraScale™ FPGAs focus on high performance in space, with abundant DSP and block RAM resources, and high bandwidth transceivers combined with space-grade packaging. Their reprogrammability, unconstrained by radiation effects or write cycle endurance limits, enable a new generation of reconfigurable satellite payloads to support remote sensing and communications missions.
VORAGO’s radiation hardened Arm® Cortex-M4 microcontrollers enable mission-critical technology to support the most demanding space applications, from heavy computing needs such as edge, to embedded controllers and I/O. With up to 300 krad(Si) TID and SEL >110 MeV*cm2/mg, VORAGO rad-hard MCUs provide industry-leading radiation hardness to withstand the harsh conditions encountered in space.
With best-in-class radiation performance, VORAGO MCUs provide system level radiation hardness to applications with radiation-tolerant FPGA systems. By adding the VORAGO MCU to a system design, customers can also take advantage of the rich peripheral set to perform tasks, including system level single event monitoring and motor control, among others.
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Hi Bravo,Vorago FPGA doesn't include us I'm afraid.
This is probably why Frontgrade are looking to us to help them make the first space-grade SoC with neuromorphic AI to compete with the Vorago/AMD FPGA.
View attachment 66154
VORAGO rad-hard MCU enables in-flight reconfiguration of AMD space-grade FPGAs
JULY 7, 2024
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Screenshot
AMD and VORAGO Technologies recently announced that AMD Space-Grade KintexUltraScale FPGAs (Field Programmable Gate Arrays) can be reconfigured by VORAGO’s radiation hardened microcontrollers (rad-hard MCUs), increasing reliability and flexibility while adding radiation hardness to existing radiation-tolerant AMD FPGA-based systems.
Joining market-leading FPGAs from AMD with best-in-class, radiation-hardened MCUs from VORAGO greatly increases flexibility in FPGA reconfiguration. Pairing a VORAGO rad-hard MCU with AMD’s FPGA allows updates to be managed in-flight via the MCU. This solution uses AMD’s serial reconfiguration interface, simplifying reprogramming versus traditional methods. This new solution that will help customers achieve high reliability for critical applications in space missions.
In this solution, the MCU firmware enables the FPGA to be reconfigured after the system is deployed, allowing new features and bug fixes to be added later, and enables a multitude of mission modes and profiles. An application note and proof of concept are available based on an AMD XQRKU060 FPGAinterfacing to a VORAGO VA41620 MCU.
AMD Kintex™ UltraScale™ FPGAs focus on high performance in space, with abundant DSP and block RAM resources, and high bandwidth transceivers combined with space-grade packaging. Their reprogrammability, unconstrained by radiation effects or write cycle endurance limits, enable a new generation of reconfigurable satellite payloads to support remote sensing and communications missions.
VORAGO’s radiation hardened Arm® Cortex-M4 microcontrollers enable mission-critical technology to support the most demanding space applications, from heavy computing needs such as edge, to embedded controllers and I/O. With up to 300 krad(Si) TID and SEL >110 MeV*cm2/mg, VORAGO rad-hard MCUs provide industry-leading radiation hardness to withstand the harsh conditions encountered in space.
With best-in-class radiation performance, VORAGO MCUs provide system level radiation hardness to applications with radiation-tolerant FPGA systems. By adding the VORAGO MCU to a system design, customers can also take advantage of the rich peripheral set to perform tasks, including system level single event monitoring and motor control, among others.
FPGAs are versatile adaptable "utility" logic devices including lots of logic gates and other stuff which can be connected to implement different logic algorithms in silicon on the same silicon chip. It's the Swiss Army knife of silicon.
"In this solution, the MCU firmware enables the FPGA to be reconfigured after the system is deployed, allowing new features and bug fixes to be added later, and enables a multitude of mission modes and profiles. "
There is no mention of AI/NN. It does include a DSP (digital signal processor) which can process sensor signals, but using much more power than SNNs.
They mention using it with 3G & 4G:
https://www.amd.com/en/products/adaptive-socs-and-fpgas/fpga/kintex-7.html
I don't see this as a direct competitor for the Vorago radhard Akida.
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supersonic001
Regular
#ai #medical #healthcare #security | Microchip Technology Inc.
From wearables to imaging systems, AI is being deployed across the board in medical and healthcare devices and security needs to be top notch. Our team joined Embedded Computing Design to discuss how low-power devices and higher-end medical applications are implementing AI and keeping it safe...
This is in no way comparable. He is senior, consultants and SCs are just the catch all title they give juniors in the big 4.Ah, I see.
I was under the impression that a Senior Consultant was more of an upper mid-level role, which would mean that this now being his full-time job, it would be a few steps down the career ladder for him, after two decades of being a university professor both in South Africa and then in Australia (as well as Director of the MARCS institute at WSU for two years), followed by company positions as CSO (GrAI Matter Labs) and CTO (IONA Tech).
Somehow I would have expected a gentleman of his calibre to fill a position with a fancier title - existing or newly created, such as CNO (Chief Neuromorphic Officer).
After a quick Google search, it appears the corporate hierarchy is indeed not standardised. Most of the examples of Senior Consultants I found referred to positions in consulting companies, but even they differ:
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Pom down under
Top 20
Outlook section 4
1 preparing ourselves to win the next contract for the next gaming console (if only we could be involved)
And before you ask 7fur7 yes I am aware
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