BRN Discussion Ongoing

[Filobeddo]

Hi FK
Apologise for the errors in this post which I have now corrected. We were baby sitting and I replied on my phone which has been doing some strange things last couple of days.(probably my fault) Now on the PC and saw the mistakes. FF

Haha FF now don’t be blaming the phone

 

[Bravo]

Haha FF now don’t be blaming the phone

 

[Evermont]

On 13th October last year a colleague and I made a call to Brainchip. At that time the SP was falling and despite our nerves of steel in relation to this share we needed some reassurance that things were going in the right direction. We spoke with this person for over an hour on multiple topics and although no information was divulged on any EAP's or NDA's that weren't already known, we were pointed in the direction of taking a good look at the Renesas website. Looking at your post above, I can only conclude, in my opinion, that this is one of the items that is using our tech.

In December last year Peter provided some comments to VM Blog on his predictions for AI in 2022.

Point 4 should be considered with the above.

Cheers.

NB - IMO the trading is now looking quite bullish after an extended soak. I see many similarities with the December and would not be surprised to see a significant change of price point in the near term (geopolitical events aside) . Macquarie may be a catalyst here?


Industry executives and experts share their predictions for 2022. Read them in this 14th annual VMblog.com series exclusive.

2022 a Breakthrough Year for AI​

By Peter van der Made, co-founder and CTO, BrainChip
Each year I am privileged to be asked to comment on the future of AI technologies, their progress and their promise in the year to come. In 2022, I believe we will see more progress, and more promises realized, than any year so far. Here is what I and my colleagues in AI expect to see:

1. AI processing will increasingly move from the cloud into edge devices with the availability of the Akida neuromorphic processor. Distributed processing has many advantages, including the reduction of total power consumption. Cloud datacenters emit as much as an estimated 600 megatons of greenhouse gasses a year. Distributed processing could reduce this figure considerably, because neuromorphic processing of CNNs on an SNN platform uses 97% less energy. AI devices will work independent of the cloud and the internet in 2022. This is similar to what happened in the 1980s: before 1980, data was processed at central mainframe computers. The IBM PC changed that to distributed processing.
   
   
2. The rigid "train once and stop learning" rule of CNNs will become a limiting factor in CNN development. Real-time learning of new objects and faces will become more important as AI devices will need to have the capability to be personalized by the end user without extensive retraining. The neuromorphic processing of CNNs on an SNN platform offers this capability.
   
   
3. The AI field will continue to expand beyond visual recognition to include all the human senses, including odor and gas recognition, taste classification, voice identification, vibration analysis for early fault detection, and other ‘expert systems.'
   
   
4. AI will become more commonplace in everyday products; refrigerators that can smell if any food is about to go off to prevent food poisoning, washing machines that monitor waste water for pollutants, TVs that understand our voice commands, cars that recognize their drivers and make sure the driver is awake and paying attention, hand-held medical diagnostic monitors that detect diseases from a single breath, smarter ADAS that continues to learn and become a better driver with experience, and more use of AI in industrial sensing to create a safer work environment.
   
   
5. AI tools will become easier to use, not requiring any specialist knowledge, whereby the development systems will hide the complicated ‘expert' work under a user-friendly graphical user interface, much like what Apple did for computer operating systems when MS-DOS was the common norm.

##
ABOUT THE AUTHOR

Peter van der Made is co-founder and CTO of BrainChip, a leading provider of ultra-low power, high-performance artificial intelligence technology and the world's first commercial producer of neuromorphic AI chips. The chip is high performance, small, ultra-low power and enables a wide array of edge capabilities that include on-chip training, learning and inference.
Published Thursday, December 23, 2021 7:31 AM by David Marshall
Filed under: VMBlog Info, Contributed, Prediction 2022

BrainChip 2022 Predictions: 2022 a Breakthrough Year for AI : @VMblog

In 2022, I believe we will see more progress, and more promises realized, than any year so far. Here is what I and my colleagues in AI expect to see.

vmblog.com

 

[Sirod69]

Renesas, you have already talked about it, i know

LinkedIn Login, Sign in | LinkedIn

Login to LinkedIn to keep in touch with people you know, share ideas, and build your career.

www.linkedin.com

 

[Fact Finder]

Always a good sign when we get picked up by an Institution such as Macquarie. In my experience this is the first of what could be ongoing coverage. No recommendation yet. It will come though once they get a feel for the company and form a stronger bond.

Hi Belkin

Thank you for sharing this Macquarie analysis of Brainchip. We both share a long time holding tightly to our Brainchip investment and have had to suffer like many with the unsubstantiated attacks from HC trolls, the AFR, the MF, various analysts with short agendas, shorts and all round cheats, liars and fools.

Macquarie has sufficient gravitas in the Australian market that in my opinion the acceptance by it of certain matters as being fact should mean that no reasonable person will be lured into being influenced by those who in the past held sway claiming to be the voice of reason.

So as much for myself as for others I have extracted the following from the report by Macquarie, based on my own memory all the facts stated by Macquarie were constantly with almost a religious zeal disputed by the above mentioned cohort. The whole report should be read of course:

Key points:

BRN is a pure-play AI company, producing a neuromorphic processor called Akida.

Akida has utility across consumer and industrial applications, including autonomous vehicles, IoT devices, medical diagnosis.

Neuromorphic chip market is still nascent in a commercial sense, there is high competition & new technology risk from major players (e.g Intel & IBM)

Advantages of the Akida chip

Independence from cloud: Akida manages AI tasks at the Edge of the network instead of sending data to the cloud. Without needing an ongoing internet connection, Akida provides reduced system latency and faster response times

One shot learning: Reduces resources required to train models due to efficiency in accommodating new data inputs. Learns from very small set of samples and expands knowledge as more data is absorbed.

Low power consumption: Uses 100 microwatts to a few hundred milliwatts of power depending on the workload. It generates minimal heat from consuming low power, so the chip should outlive the product it has been installed into.

On-chip fast learning and convolution: Traditional software-based neural networks (e.g CNN) can be efficiently run on BRN’s SNN by leveraging TensorFlow for industry standard neural network development.

Small and lightweight: 28nm chip can be designed into wearable devices and flying machines (e.g drones, aircraft, spacecraft).

Financials and risks

• FY21 revenue of US$1.59M was a significant increase from US$120,829 in FY20, but still loss-making on EBITDA level.

• Risks: IP, Reliance on key personnel, competition and new technologies, future funding requirements

Employs a Scientific Advisory Board (SAB) consisting of three cognitive scientists and industry experts, including Nobel Prize Laureate Professor Barry J. Marshall, who joined in July 2020.


Directors’ background Management background

• Sean Hehir (CEO & Executive Director): Joined in November 2021, a seasoned technology executive and board member of Silicon Valley Executive Network. Responsible for driving explosive revenue growth for HP, Compaq and Fusion-io.

• Peter van der Made (CTO & Executive Director): Co-founder of BrainChip. Previously CTO, founder and Chief Scientist of vCIS Technology, later Chief Scientist when acquired by Internet Security Systems and IBM. Also founded PolyGraphics Systems.

• Antonio Viana: On the board of Arteris, a leading provider of NoC interconnect. Previously Executive Chairman at QuantalRF, former ARM President and EVP of Commercial and Global Development.

• Geoffrey Carrick: On the board of Global Study Partners and VCF Capital Partners. Previously Head of Equity Capital Markets at CBA, Director of Equity Capital Markets at Macquarie Group and Head of Finance of Shaw & Partners.

• Pia Turcinov: Manages a portfolio career with qualifications in business management and law.

• Kenneth W. Scarince (CFO): Joined in 2019. Previously held senior management positions as Finance Director of Midwest Connect, Controller of Virgin Galactic, VP and Controller of Virgin America, VP Finance of Chicago Express Airlines.

• Anil Shamrao Mankar (CDO): Co-founder of BrainChip, previously CDO for Conexant Systems LLC, VP Business Development at T2M and Senior VP-VLSI Engineering at Mindspeed Technologies.

• Jerome Nadel (CMO): Joined in January 2022 from Rambus, a NASDAQ-listed semiconductor technology company. Previously held senior positions at Sagem, Thales, wireless and IoT solutions provider Option NV, Unisys and IBM. Board member of Silicon Valley Executive Network and President of Silicon Valley chapter of CMO club, a global community of marketing executives

Competition
BRN states it has a competitive advantage over rivals in the commercialisation process as other neuromorphic chips are still in the R&D stage.

IBM TrueNorth • Produced in 2014, a single processor consists of 5.4 billion transistors, 1 million neurons, 256 million synapses using 4,096 cores. Although it only uses milliwatts of power, each synapse needs to be programmed, which restricts the chip’s learning capabilities in real-time. Does not have backward compatibility with previous technology (e.g C++ compilers) and has vendor lock-in risks. ML workflow requires learning Corelet.

Intel Loihi • Introduced Loihi in January 2018 and its successor Loihi 2 in 2021, which provides 10x faster processing, 15x resource density and improved energy efficiency with a 7nm chip. Loihi 2 consists of 1 million neurons and 120 million synapses but lacks on-chip convolution and requires learning NEF for ML workflow. In 2019, Intel said they’re 5 years away from commercialisation.

Google Coral TPU • Introduced in 2019, Google Coral TPU is a ML application-specific integrated circuit (ASIC) designed to run AI at the edge. Provides high performance ML inferencing for low-power devices but only supports TensorFlow Lite. An individual Edge TPU performs 4 trillion (fixed-point) operations per second and consumes 2-5W of power.

DLAs (e.g Nvidia) • Launched in 2017, Nvidia produced an open-source hardware neural network AI accelerator written in Verilog. It is configurable and scalable to meet a range of architecture needs. However, as an accelerator, any process must be scheduled and arbitered by an outside entity (e.g CPU). Available for product development as a part of Nvidia’s Jetsen Xavier NX.

• Crossed threshold from R&D into commercialisation: BRN evolved its operations to become the world’s first and only commercial producer of neuromorphic AI chips in FY21.

• Strong partnerships: BRN has IP licensing agreements with Japan-based ASIC leader MegaChips and global semiconductor manufacturer Renesas.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[wilzy123]

Sorry if this has been covered already. e-AI from Renesas.

 

[Fact Finder]

Sorry if this has been covered already. e-AI from Renesas.

View attachment 4519

Would it not be cool if this was AKIDA and when it becomes sentient every time a competitor tried to have a chip produced it found production faults preventing them ever getting a chip to market. LOL FF

 

[wilzy123]

every time a competitor tried to have a chip produced

That's one big IF....

 

[Boab]

Hi Belkin

Thank you for sharing this Macquarie analysis of Brainchip. We both share a long time holding tightly to our Brainchip investment and have had to suffer like many with the unsubstantiated attacks from HC trolls, the AFR, the MF, various analysts with short agendas, shorts and all round cheats, liars and fools.

Macquarie has sufficient gravitas in the Australian market that in my opinion the acceptance by it of certain matters as being fact should mean that no reasonable person will be lured into being influenced by those who in the past held sway claiming to be the voice of reason.

So as much for myself as for others I have extracted the following from the report by Macquarie, based on my own memory all the facts stated by Macquarie were constantly with almost a religious zeal disputed by the above mentioned cohort. The whole report should be read of course:

Key points:

BRN is a pure-play AI company, producing a neuromorphic processor called Akida.

Akida has utility across consumer and industrial applications, including autonomous vehicles, IoT devices, medical diagnosis.

Neuromorphic chip market is still nascent in a commercial sense, there is high competition & new technology risk from major players (e.g Intel & IBM)

Advantages of the Akida chip

Independence from cloud: Akida manages AI tasks at the Edge of the network instead of sending data to the cloud. Without needing an ongoing internet connection, Akida provides reduced system latency and faster response times

One shot learning: Reduces resources required to train models due to efficiency in accommodating new data inputs. Learns from very small set of samples and expands knowledge as more data is absorbed.

Low power consumption: Uses 100 microwatts to a few hundred milliwatts of power depending on the workload. It generates minimal heat from consuming low power, so the chip should outlive the product it has been installed into.

On-chip fast learning and convolution: Traditional software-based neural networks (e.g CNN) can be efficiently run on BRN’s SNN by leveraging TensorFlow for industry standard neural network development.

Small and lightweight: 28nm chip can be designed into wearable devices and flying machines (e.g drones, aircraft, spacecraft).

Financials and risks

• FY21 revenue of US$1.59M was a significant increase from US$120,829 in FY20, but still loss-making on EBITDA level.

• Risks: IP, Reliance on key personnel, competition and new technologies, future funding requirements

Employs a Scientific Advisory Board (SAB) consisting of three cognitive scientists and industry experts, including Nobel Prize Laureate Professor Barry J. Marshall, who joined in July 2020.


Directors’ background Management background

• Sean Hehir (CEO & Executive Director): Joined in November 2021, a seasoned technology executive and board member of Silicon Valley Executive Network. Responsible for driving explosive revenue growth for HP, Compaq and Fusion-io.

• Peter van der Made (CTO & Executive Director): Co-founder of BrainChip. Previously CTO, founder and Chief Scientist of vCIS Technology, later Chief Scientist when acquired by Internet Security Systems and IBM. Also founded PolyGraphics Systems.

• Antonio Viana: On the board of Arteris, a leading provider of NoC interconnect. Previously Executive Chairman at QuantalRF, former ARM President and EVP of Commercial and Global Development.

• Geoffrey Carrick: On the board of Global Study Partners and VCF Capital Partners. Previously Head of Equity Capital Markets at CBA, Director of Equity Capital Markets at Macquarie Group and Head of Finance of Shaw & Partners.

• Pia Turcinov: Manages a portfolio career with qualifications in business management and law.

• Kenneth W. Scarince (CFO): Joined in 2019. Previously held senior management positions as Finance Director of Midwest Connect, Controller of Virgin Galactic, VP and Controller of Virgin America, VP Finance of Chicago Express Airlines.

• Anil Shamrao Mankar (CDO): Co-founder of BrainChip, previously CDO for Conexant Systems LLC, VP Business Development at T2M and Senior VP-VLSI Engineering at Mindspeed Technologies.

• Jerome Nadel (CMO): Joined in January 2022 from Rambus, a NASDAQ-listed semiconductor technology company. Previously held senior positions at Sagem, Thales, wireless and IoT solutions provider Option NV, Unisys and IBM. Board member of Silicon Valley Executive Network and President of Silicon Valley chapter of CMO club, a global community of marketing executives

Competition
BRN states it has a competitive advantage over rivals in the commercialisation process as other neuromorphic chips are still in the R&D stage.

IBM TrueNorth • Produced in 2014, a single processor consists of 5.4 billion transistors, 1 million neurons, 256 million synapses using 4,096 cores. Although it only uses milliwatts of power, each synapse needs to be programmed, which restricts the chip’s learning capabilities in real-time. Does not have backward compatibility with previous technology (e.g C++ compilers) and has vendor lock-in risks. ML workflow requires learning Corelet.

Intel Loihi • Introduced Loihi in January 2018 and its successor Loihi 2 in 2021, which provides 10x faster processing, 15x resource density and improved energy efficiency with a 7nm chip. Loihi 2 consists of 1 million neurons and 120 million synapses but lacks on-chip convolution and requires learning NEF for ML workflow. In 2019, Intel said they’re 5 years away from commercialisation.

Google Coral TPU • Introduced in 2019, Google Coral TPU is a ML application-specific integrated circuit (ASIC) designed to run AI at the edge. Provides high performance ML inferencing for low-power devices but only supports TensorFlow Lite. An individual Edge TPU performs 4 trillion (fixed-point) operations per second and consumes 2-5W of power.

DLAs (e.g Nvidia) • Launched in 2017, Nvidia produced an open-source hardware neural network AI accelerator written in Verilog. It is configurable and scalable to meet a range of architecture needs. However, as an accelerator, any process must be scheduled and arbitered by an outside entity (e.g CPU). Available for product development as a part of Nvidia’s Jetsen Xavier NX.

• Crossed threshold from R&D into commercialisation: BRN evolved its operations to become the world’s first and only commercial producer of neuromorphic AI chips in FY21.

• Strong partnerships: BRN has IP licensing agreements with Japan-based ASIC leader MegaChips and global semiconductor manufacturer Renesas.

My opinion only DYOR
FF

AKIDA BALLISTA

Hi FF, what did you think about the below sentence listed under WEAKNESS.
I would have thought we are a clear leader but understand there are plenty of WANCA's out there.

Regards

Boab

• 
  Market uncertainty: SNN technologies are at an early stage so there isn’t a clear dominant technology in the market.
  

 

[Esq.111]

Hi Belkin

Thank you for sharing this Macquarie analysis of Brainchip. We both share a long time holding tightly to our Brainchip investment and have had to suffer like many with the unsubstantiated attacks from HC trolls, the AFR, the MF, various analysts with short agendas, shorts and all round cheats, liars and fools.

Macquarie has sufficient gravitas in the Australian market that in my opinion the acceptance by it of certain matters as being fact should mean that no reasonable person will be lured into being influenced by those who in the past held sway claiming to be the voice of reason.

So as much for myself as for others I have extracted the following from the report by Macquarie, based on my own memory all the facts stated by Macquarie were constantly with almost a religious zeal disputed by the above mentioned cohort. The whole report should be read of course:

Key points:

BRN is a pure-play AI company, producing a neuromorphic processor called Akida.

Akida has utility across consumer and industrial applications, including autonomous vehicles, IoT devices, medical diagnosis.

Neuromorphic chip market is still nascent in a commercial sense, there is high competition & new technology risk from major players (e.g Intel & IBM)

Advantages of the Akida chip

Independence from cloud: Akida manages AI tasks at the Edge of the network instead of sending data to the cloud. Without needing an ongoing internet connection, Akida provides reduced system latency and faster response times

One shot learning: Reduces resources required to train models due to efficiency in accommodating new data inputs. Learns from very small set of samples and expands knowledge as more data is absorbed.

Low power consumption: Uses 100 microwatts to a few hundred milliwatts of power depending on the workload. It generates minimal heat from consuming low power, so the chip should outlive the product it has been installed into.

On-chip fast learning and convolution: Traditional software-based neural networks (e.g CNN) can be efficiently run on BRN’s SNN by leveraging TensorFlow for industry standard neural network development.

Small and lightweight: 28nm chip can be designed into wearable devices and flying machines (e.g drones, aircraft, spacecraft).

Financials and risks

• FY21 revenue of US$1.59M was a significant increase from US$120,829 in FY20, but still loss-making on EBITDA level.

• Risks: IP, Reliance on key personnel, competition and new technologies, future funding requirements

Employs a Scientific Advisory Board (SAB) consisting of three cognitive scientists and industry experts, including Nobel Prize Laureate Professor Barry J. Marshall, who joined in July 2020.


Directors’ background Management background

• Sean Hehir (CEO & Executive Director): Joined in November 2021, a seasoned technology executive and board member of Silicon Valley Executive Network. Responsible for driving explosive revenue growth for HP, Compaq and Fusion-io.

• Peter van der Made (CTO & Executive Director): Co-founder of BrainChip. Previously CTO, founder and Chief Scientist of vCIS Technology, later Chief Scientist when acquired by Internet Security Systems and IBM. Also founded PolyGraphics Systems.

• Antonio Viana: On the board of Arteris, a leading provider of NoC interconnect. Previously Executive Chairman at QuantalRF, former ARM President and EVP of Commercial and Global Development.

• Geoffrey Carrick: On the board of Global Study Partners and VCF Capital Partners. Previously Head of Equity Capital Markets at CBA, Director of Equity Capital Markets at Macquarie Group and Head of Finance of Shaw & Partners.

• Pia Turcinov: Manages a portfolio career with qualifications in business management and law.

• Kenneth W. Scarince (CFO): Joined in 2019. Previously held senior management positions as Finance Director of Midwest Connect, Controller of Virgin Galactic, VP and Controller of Virgin America, VP Finance of Chicago Express Airlines.

• Anil Shamrao Mankar (CDO): Co-founder of BrainChip, previously CDO for Conexant Systems LLC, VP Business Development at T2M and Senior VP-VLSI Engineering at Mindspeed Technologies.

• Jerome Nadel (CMO): Joined in January 2022 from Rambus, a NASDAQ-listed semiconductor technology company. Previously held senior positions at Sagem, Thales, wireless and IoT solutions provider Option NV, Unisys and IBM. Board member of Silicon Valley Executive Network and President of Silicon Valley chapter of CMO club, a global community of marketing executives

Competition
BRN states it has a competitive advantage over rivals in the commercialisation process as other neuromorphic chips are still in the R&D stage.

IBM TrueNorth • Produced in 2014, a single processor consists of 5.4 billion transistors, 1 million neurons, 256 million synapses using 4,096 cores. Although it only uses milliwatts of power, each synapse needs to be programmed, which restricts the chip’s learning capabilities in real-time. Does not have backward compatibility with previous technology (e.g C++ compilers) and has vendor lock-in risks. ML workflow requires learning Corelet.

Intel Loihi • Introduced Loihi in January 2018 and its successor Loihi 2 in 2021, which provides 10x faster processing, 15x resource density and improved energy efficiency with a 7nm chip. Loihi 2 consists of 1 million neurons and 120 million synapses but lacks on-chip convolution and requires learning NEF for ML workflow. In 2019, Intel said they’re 5 years away from commercialisation.

Google Coral TPU • Introduced in 2019, Google Coral TPU is a ML application-specific integrated circuit (ASIC) designed to run AI at the edge. Provides high performance ML inferencing for low-power devices but only supports TensorFlow Lite. An individual Edge TPU performs 4 trillion (fixed-point) operations per second and consumes 2-5W of power.

DLAs (e.g Nvidia) • Launched in 2017, Nvidia produced an open-source hardware neural network AI accelerator written in Verilog. It is configurable and scalable to meet a range of architecture needs. However, as an accelerator, any process must be scheduled and arbitered by an outside entity (e.g CPU). Available for product development as a part of Nvidia’s Jetsen Xavier NX.

• Crossed threshold from R&D into commercialisation: BRN evolved its operations to become the world’s first and only commercial producer of neuromorphic AI chips in FY21.

• Strong partnerships: BRN has IP licensing agreements with Japan-based ASIC leader MegaChips and global semiconductor manufacturer Renesas.

My opinion only DYOR
FF

AKIDA BALLISTA

Evening Belkin & Fact Finder,

Cheers for posting Belkin , appreciated.

I tried to open file , but it refused to open.

Fact Finder, thankyou for sharing your thoughts on the coverage. Good stuff.

Will be interesting to see in 6 to 12 months which Fund / Institution has the biggest holding

Macquarie CEO - Shemara Wikramanayake

Or

ARK Fund CEO - Cathie Wood.

Regards,
Esq.

 

[Ghostyyy]

Has this been posted?

 

[Ghostyyy]

https://inf.news/en/science/791bf988657af0e134c475ca748067c6.html

 

[Perhaps]

https://inf.news/en/science/791bf988657af0e134c475ca748067c6.html

This old "no news" appears for weeks on this strange site, always with date of today.

 

[Ghostyyy]

I noticed the date so was a bit confused.

 

[Perhaps]

Anybody heard of that mail about good news by Tony Dawe, discussed by the Brainchip Investor Group on Facebook?
Can only send an unproved link, I'm no FB-member: www.facebook.com/groups/brainchipinvestorgroup/permalink/1011327543135727/

 

[JK200SX]

 

[Bravo]

Always a good sign when we get picked up by an Institution such as Macquarie. In my experience this is the first of what could be ongoing coverage. No recommendation yet. It will come though once they get a feel for the company and form a stronger bond.

Hi Belkin,

Thanks for sharing. Maybe you could send Luke Winchester a copy of the Macquarie Report since it very cleary states what a neuromorphic chip is anyway.

Oh, please feel free to slip this in for the cover page if you like.

 

[Fact Finder]

I was just looking at Anil Mankar’s presentation to the 2021 Ai Field day last May and thought his following words were interesting:

“We are currently engaged with 10 Plus customers who mainly are made up of:

Early Access Customers,

Proof of Concept customers for which we are developing some special networks, and

IP Customers who are embedding our IP into their SOC’s.

The target market for us is:

Automotive,

Consumer Healthcare,

Imaging, and

Transportation.”

My opinion only DYOR
FF

AKIDA BALLISTA

 

[wilzy123]

View attachment 4523

YEEEHAA!!

Waits for the "Is this Akida?" question during Q&A.

 

[Fact Finder]

Hi FF, what did you think about the below sentence listed under WEAKNESS.
I would have thought we are a clear leader but understand there are plenty of WANCA's out there.

Regards

Boab

• 
  Market uncertainty: SNN technologies are at an early stage so there isn’t a clear dominant technology in the market.
  

I thought of two statements:

Rob Telson - Tip of the Iceberg

Sean Hehir - Best kept secret

Then I thought good thing Renesas, NASA, Valeo, Mercedes, Ford, MegaChips, Vorago, US Airforce, ISL, NaNose, Intellisense, Biotome, Noisey Gut Belt etc; managed to find Brainchip and AKIDA or they might have all been still standing around scratching their heads.

My opinion only DYOR
FF

AKIDA BALLISTA