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[Rise from the ashes]

 

[Fact Finder]

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9 March 2023

BrainChip’s second-gen neuromorphic silicon gunning for the big boys​

BrainChip’s second-gen neuromorphic silicon gunning for the big boys - Rethink

Neuromorphic chip designer BrainChip has unveiled the second generation of its Akida platform. Taking inspiration from the human brain, these chips promise to slash the compute costs burdening enterprises and operators, by moving those workloads into bespoke edgy silicon, and out of expensive...

rethinkresearch.biz

BrainChip’s second-gen neuromorphic silicon gunning for the big boys​

By Alex Davies
Neuromorphic chip designer BrainChip has unveiled the second generation of its Akida platform. Taking inspiration from the human brain, these chips promise to slash the compute costs burdening enterprises and operators, by moving those workloads into bespoke edgy silicon, and out of expensive centralized cloud environments. Nandan Nayampally, Chief Marketing Officer at BrainChip and formerly a VP at Arm, pointed to the scale of this pricing problem, in conversation with Faultline this week. “It took $6 million to train one model, with ChatGPT. There is something like $50 billion in productivity losses from unplanned downtime in manufacturing alone, and $1.1 trillion in losses from people missing work due to preventable chronic illness in the US. With 1 TB of data…

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Forecasts & Data​

from Rethink TV​

I have been sneaking up on this one to try and get as much free content as possible and this is the best I can come up with but the flavour of adulation is certainly present.

What I want to know is who amongst the Magnificent Seven at Brainchip is taking the role of the soft voiced gambler, gunslinger with the fastest draw in the West.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[HopalongPetrovski]

Aren't most here long term holders? Does this really matter? Technicals doesn't work for the vast majority.

I admit I did a tactical exit at 1.59 and re-entry at an average of 0.7, but that was because of too many new investors and a 2021 report that would look very red to them, so a guaranteed drop.

I would never act on technicals, especially on a stock that can move so much on news.

We are a broad and disparate (only occasionally desperate) group, who welcome all sorts of scallywags, snake oil salespersons, jokers, dot joiners, researchers, mock engineers, self styled technical analysts, amateur patent sleuths and retired lawyers.
Occasionally we are infiltrated and no doubt, oft watched and mocked, by certain reprobates who once found out, are cast into Zeeb0ts (blessed be his name) abyss, never to be seen or heard from again.
Live and let live.
It's so much nicer when we are pleasant with each other.
If you find something here that is not to your fancy, skip on to the next tasty morsel.
And if you come across something absolutely abhorrent that simply will not stand, report it, and if enough others agree with you it will be disappeared double quick, just like a rat up a drainpipe.

 

[Rise from the ashes]

LUCIA (Horizon Europe) Project Kickoff

At the beginning of February, the Technion hosted the kickoff meeting for LUCIA, an international project and consortium supported by the Horizon Europe Program and headed by coordinator Prof. Hossam Haick of the Wolfson Faculty of Chemical Engineering. The two-day event was attended by sixty...

www.technion.ac.il

 

[Bravo]

Too right!

Neuromorphic Computing: A More Efficient Technology for Activities That Require a Human Touch​

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ChatGPT and subsequent artificial intelligence (AI) programs have been in the headlines recently. Not as common is the discussion of the cost associated with developing and operating such AI tools or if such AI is right for every job.
It is estimated that ChatGPT can cost millions of dollars per day to operate. Given the potentially large price tag, consumers may ask how users can harness the benefit of AI without the high operating cost and what the best technology is in applications where precise decision-making and outcomes are desired. Some believe that the answer to both of these questions is neuromorphic computing.
What Is Neuromorphic Computing?
Neuromorphic computing is designed to mimic the human brain, operating in a manner that allows the technology to solve problems in ways our brains would. The chips that power neuromorphic computing are specially designed with the same structure as our brain’s neurons and synapses, allowing it to make decisions and judgments in a way that typical computer systems or algorithms cannot.
Neuromorphic computing is intended to be more efficient, powerful, and cost-effective than other AI technologies. Although still in development and not widely deployed, it is being evaluated in various settings, including cloud computing, robotics, and autonomous vehicle technology.
The End of the Algorithm in AI?
Rather than processing all the data to follow an algorithm to an answer, the goal of neuromorphic computing is to decipher the necessary information to determine the correct solution. Leveraging this would allow companies and consumers to implement technology into everyday life wherever a human touch is required—rather than utilizing answers based solely on an algorithm.
AI is effective at providing large amounts of computing power, responding to queries that may take a human or even a standard computer a long time to answer. Neuromorphic computing, on the other hand, takes a more active approach, giving the correct response or action to a scenario.
Key Takeaway
As technology and society integrate on a deeper level, there will be an increased demand on our computers and technology to interact with us as a human would with speech, movement, and reason. Neuromorphic computing’s deployment is no easy feat, and we will be on the lookout for how companies bring humanity into future computers and technologies.

Neuromorphic Computing: A More Efficient Technology for Activities That Require a Human Touch | JD Supra

ChatGPT and subsequent artificial intelligence (AI) programs have been in the headlines recently. Not as common is the discussion of the cost...

www.jdsupra.com

 

[Fact Finder]

Check out the latest news and insights from Sensors

Site does not support https just a warning for those who click.
View attachment 31788

Very interesting company particularly across medical devices. In their pdf section I found this paper accessible through the following link discussing reducing battery use through sleep modes. We all know that one of AKIDA's many advantages is how it is never asleep but only burns power when a defined event occurs that it has to process making it the ideal choice when trying to extend battery life:

https://www.te.com/content/dam/te-c...bal/smi-pressure-sensors-application-note.pdf

I do not have the impression they are using AKIDA yet but I am sure Rob Telson is not just liking them because they have a nice picture of a hand of man reaching out to the hand of robotics.

My opinion only DYOR
FF

AKIDA BALLISTA

PS: Temperature and Pressure ties in very nicely with Anil Mankar's comments at the 2021 Ai Field Day about how AKIDA technology in only two node configuration could service this requirement at ludicrously low power with more than acceptable latency.

 

[MaxwellAnne]

I have a category of saved posts called "another great factfinder post!!!

Of course there are many other posters making fantastic contributions and research. I am in awe of you all!!

 

[Taproot]

Accenture CTO, Jean-Luc Chatelain, was a guest on a recent podcast, so I was very interested to discover this announcement a couple of days ago that Accenture and TELUS have teamed up. Is it just me or can anyone else see where neuromorphic computing could benefit this partnership?


Oh, and TELUS are a communications company too...


Telus more, I say!



View attachment 31776

View attachment 31777


View attachment 31780

Accenture Collaborates with TELUS on Digital Transformation of its Television and Digital Life Businesses

Accenture has teamed with TELUS in the development of TELUS’ next-generation entertainment and personalized digital life platform for their customers.

newsroom.accenture.com

Here are some Accenture vids from about 2 years ago.
Interesting in today's context and Sean's friendship with Jean-Luc etc











ETc, etc, you get the idea.
I've been munching away at .525 all day. The current share price is a gift from heaven.

 

[KKFoo]

I just bought another 20k@0.525

 

[Fact Finder]

Some good news for all investors in Brainchip. The absence of dividends will mean that the Governments proposal to prevent companies passing on franking credits to shareholders will have no implications. None of us will be part of a double taxation system. Well at least not for a couple of years. All we need now is for them to proceed with the removal of the 12 month holding rule for capital gains tax discounts and life in retirement will be sweet as.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Rise from the ashes]

Very interesting company particularly across medical devices. In their pdf section I found this paper accessible through the following link discussing reducing battery use through sleep modes. We all know that one of AKIDA's many advantages is how it is never asleep but only burns power when a defined event occurs that it has to process making it the ideal choice when trying to extend battery life:

https://www.te.com/content/dam/te-c...bal/smi-pressure-sensors-application-note.pdf

I do not have the impression they are using AKIDA yet but I am sure Rob Telson is not just liking them because they have a nice picture of a hand of man reaching out to the hand of robotics.

My opinion only DYOR
FF

AKIDA BALLISTA

PS: Temperature and Pressure ties in very nicely with Anil Mankar's comments at the 2021 Ai Field Day about how AKIDA technology in only two node configuration could service this requirement at ludicrously low power with more than acceptable latency.

Yes there are quite a few products on that site which akida could enhance to new levels which were not possible before. And why is it not happening if akida is the best thing since sliced bread... To put it in my simpleton terms
Bloody stuff takes time to convince companies to get off the beaten track it takes time to show them how to incorporate it into products it takes time to employ individuals to assist on this new journey of product development.
It also takes vision to see the future and takes courage to breakaway from the status quo . It just takes damn time

 

[Rise from the ashes]

Some good news for all investors in Brainchip. The absence of dividends will mean that the Governments proposal to prevent companies passing on franking credits to shareholders will have no implications. None of us will be part of a double taxation system. Well at least not for a couple of years. All we need now is for them to proceed with the removal of the 12 month holding rule for capital gains tax discounts and life in retirement will be sweet as.

My opinion only DYOR
FF

AKIDA BALLISTA

Definitely would give that post a

 

[Rise from the ashes]

One for the C.W fans amongst us here

Cathie Wood’s flagship Ark fund tops $300mn in fees despite losses

Investors have largely remained loyal to highly volatile ETF even though it has fallen nearly three-quarters from its peak

www.ft.com

 

[Fact Finder]

Very interesting company particularly across medical devices. In their pdf section I found this paper accessible through the following link discussing reducing battery use through sleep modes. We all know that one of AKIDA's many advantages is how it is never asleep but only burns power when a defined event occurs that it has to process making it the ideal choice when trying to extend battery life:

https://www.te.com/content/dam/te-c...bal/smi-pressure-sensors-application-note.pdf

I do not have the impression they are using AKIDA yet but I am sure Rob Telson is not just liking them because they have a nice picture of a hand of man reaching out to the hand of robotics.

My opinion only DYOR
FF

AKIDA BALLISTA

PS: Temperature and Pressure ties in very nicely with Anil Mankar's comments at the 2021 Ai Field Day about how AKIDA technology in only two node configuration could service this requirement at ludicrously low power with more than acceptable latency.

This is an interesting further connection that Rob Telson is probably fully aware of as he seeks to keep building the partner ecosystem.

Ken Southworth​

Sr Manager Mass Market Sales Americas at TE Sensors​

TE ConnectivityUniversity of Massachusetts Dartmouth​

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Experienced Senior Account Executive with a demonstrated history of working in the semiconductors industry. Skilled in Application-Specific Integrated Circuits (ASIC), Solid State Lighting, Electrical Engineering, Integrated Circuits (IC), and Electronics. Strong sales professional with a MSEE focused in Electro-Optics from University of Massachusetts Dartmouth.

• 
  

  Sr Manager of Mass Market Sales - Sensors​

  TE Connectivity​

  Jan 2023 - Present3 months
  United States
• 
  
• 
  

  Regional Sales Manager​

  Renesas Electronics​

  Jan 2022 - Feb 20231 year 2 months
  Attleboro, Massachusetts, United States
• 
  
• 
  My opinion only DYOR
  FF
  AKIDA BALLISTA
  
  

 

[Rise from the ashes]

 

[Fact Finder]

In all of the excitement let us not forget what Global Foundries is up to:

GF Supports Next-gen Vision and Computing Technologies​

GF is also championing the computing sector, namely with BrainChip's Akida neuromorphic chip built on 22 nm fully depleted silicon-on-insulator (FD-SOI)technology.

Akida architecture. Image courtesy of BrainChip​

BrainChip is the world’s first company to develop ultra-low-power, event-based, neuromorphic AI IP to be used for always-on sensor applications. The AKD1500 chip was built on GF’s low-leakage FD SOI platform, promising an array of applications that don't overload the CPU.

Vision sensor specialist Oculi also recently announced a strategic partnership with GF, commissioning the foundry to manufacture its single-chip, intelligent software-defined vision sensor. The new sensor will be based on GF’s 55LPx, a platform that supports RF, ultra-low power, embedded NVM, and high-voltage BCDLite (a process technology).

Expanding U.S.-based Semiconductor Production​

While GlobalFoundries relies on five-year agreements to ship chips from storage facilities in Dresden and Singapore, the foundry also plans to expand three U.S. locations, including one in Vermont and two in New York. Specifically, GF is broadening the scope of existing facilities to make 12 nm, 28 nm, and 40 nm chips rather than going back to the drawing board and investing in new technologies to compete with TSMC’s advanced 3 nm – 5 nm chips.

GlobalFoundries' headquarters in Malta, New York. Image (modified) courtesy of GlobalFoundries​

GF has increased existing domestic manufacturing capacity in another way, too. The company has invested in gallium nitride (GaN) RF chips, a wide-band semiconductor technology that outperforms silicon in terms of thermal resistance and durability. GF's development of GaN devices at its Essex Junction, Vermont, facility would have been impossible without a $30 million government grant to shorten the time to market for the GaN RF technology.
A GF facility in upstate New York is also getting a boost—this time, from collaborating with Qualcomm. The U.S. mobile chipmaker has previously agreed to spend $4.2 billion on chips made by GF for Qualcomm's 5G transceivers, automotive products, and IoT connectivity.

CONTENT FROM PARTNERS

You need it, we have it!​

Content from Transfer Multisort Elektronik

RELATED CONTENT​

• Reducing Distortion in Tape Recordings with Hysteresis in SPICE
• Test & Measurement in Quantum Computing
• Open RAN – Network Performance in the Lab and in the Field
• RFID in Healthcare | Safeguarding Your Assets
• Multimedia Chipset Design and Testing Solutions
• Future Picks: Macronix Serial NOR Flash

Learn More About:​

• SEMICONDUCTOR MARKET
• CHIP FABRICATION
• CHIP SHORTAGE
• GLOBALFOUNDRIE

 

[Fact Finder]

In all of the excitement let us not forget what Global Foundries is up to:

GF Supports Next-gen Vision and Computing Technologies​

GF is also championing the computing sector, namely with BrainChip's Akida neuromorphic chip built on 22 nm fully depleted silicon-on-insulator (FD-SOI)technology.

Akida architecture. Image courtesy of BrainChip​

BrainChip is the world’s first company to develop ultra-low-power, event-based, neuromorphic AI IP to be used for always-on sensor applications. The AKD1500 chip was built on GF’s low-leakage FD SOI platform, promising an array of applications that don't overload the CPU.

Vision sensor specialist Oculi also recently announced a strategic partnership with GF, commissioning the foundry to manufacture its single-chip, intelligent software-defined vision sensor. The new sensor will be based on GF’s 55LPx, a platform that supports RF, ultra-low power, embedded NVM, and high-voltage BCDLite (a process technology).

Expanding U.S.-based Semiconductor Production​

While GlobalFoundries relies on five-year agreements to ship chips from storage facilities in Dresden and Singapore, the foundry also plans to expand three U.S. locations, including one in Vermont and two in New York. Specifically, GF is broadening the scope of existing facilities to make 12 nm, 28 nm, and 40 nm chips rather than going back to the drawing board and investing in new technologies to compete with TSMC’s advanced 3 nm – 5 nm chips.

GlobalFoundries' headquarters in Malta, New York. Image (modified) courtesy of GlobalFoundries​

GF has increased existing domestic manufacturing capacity in another way, too. The company has invested in gallium nitride (GaN) RF chips, a wide-band semiconductor technology that outperforms silicon in terms of thermal resistance and durability. GF's development of GaN devices at its Essex Junction, Vermont, facility would have been impossible without a $30 million government grant to shorten the time to market for the GaN RF technology.
A GF facility in upstate New York is also getting a boost—this time, from collaborating with Qualcomm. The U.S. mobile chipmaker has previously agreed to spend $4.2 billion on chips made by GF for Qualcomm's 5G transceivers, automotive products, and IoT connectivity.

CONTENT FROM PARTNERS

You need it, we have it!​

Content from Transfer Multisort Elektronik

RELATED CONTENT​

• Reducing Distortion in Tape Recordings with Hysteresis in SPICE
• Test & Measurement in Quantum Computing
• Open RAN – Network Performance in the Lab and in the Field
• RFID in Healthcare | Safeguarding Your Assets
• Multimedia Chipset Design and Testing Solutions
• Future Picks: Macronix Serial NOR Flash

Learn More About:​

• SEMICONDUCTOR MARKET
• CHIP FABRICATION
• CHIP SHORTAGE
• GLOBALFOUNDRIE

Worth repeating:

“GF is also championing the computing sector, namely with BrainChip's Akida neuromorphic chip built on 22 nm fully depleted silicon-on-insulator (FD-SOI)technology”

A very strong statement of intent using the word:

“championing”

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Rise from the ashes]

I also recall Rob liking some post on LinkedIn a few months back about battery management.

 

[Rise from the ashes]

So grateful for this place, because trying to discuss brainchip investment with others outside of here is so painful and pointless.

 

[Adam]

So it is an acronym.
Cheers

Sounds like a town in NZ..