BRN Discussion Ongoing

[Damo4]

had to look up Somato. It applies to being able to feel heat, cold, pressure etc.
Good for robotics??

And for healthcare/wearables

 

[Esq.111]

Afternoon Chippers ,

This caught my eye , naturaly nothing related ..... though we could help know doubt.

Might add , RED BULL would be a great company to join our partner list ..... these fiends are into every extreme sport....... ie, capture the hearts & minds of the young whipper snappers , who inturn adapt to future tech faster than the past.

World's Fastest Camera Drone Vs F1 Car (ft. Max V…:

Regards,
Esq.

 

[manny100]

​

AI’s craving for data is matched only by a runaway thirst for water and energy​

John Naughton

The computing power for AI models requires immense – and increasing – amounts of natural resources. Legislation is required to prevent environmental crisis

Sun 3 Mar 2024 02.55 AEDT


One of the most pernicious myths about digital technology is that it is somehow weightless or immaterial. Remember all that early talk about the “paperless” office and “frictionless” transactions? And of course, while our personal electronic devices do use some electricity, compared with the washing machine or the dishwasher, it’s trivial.
Belief in this comforting story, however, might not survive an encounter with Kate Crawford’s seminal book, Atlas of AI, or the striking Anatomy of an AI System graphic she composed with Vladan Joler. And it certainly wouldn’t survive a visit to a datacentre – one of those enormous metallic sheds housing tens or even hundreds of thousands of servers humming away, consuming massive amounts of electricity and needing lots of water for their cooling systems.


On the energy front, consider Ireland, a small country with an awful lot of datacentres. Its Central Statistics Office reports that in 2022 those sheds consumed more electricity (18%) than all the rural dwellings in the country, and as much as all Ireland’s urban dwellings. And as far as water consumption is concerned, a study by Imperial College London in 2021 estimated that one medium-sized datacentre used as much water as three average-sized hospitals. Which is a useful reminder that while these industrial sheds are the material embodiment of the metaphor of “cloud computing”, there is nothing misty or fleecy about them. And if you were ever tempted to see for yourself, forget it: it’d be easier to get into Fort Knox.

There are now between 9,000 and 11,000 of these datacentres in the world. Many of them are beginning to look a bit dated, because they’re old style server-farms with thousands or millions of cheap PCs storing all the data – photographs, documents, videos, audio recordings, etc – that a smartphone-enabled world generates in such casual abundance.
But that’s about to change, because the industrial feeding frenzy around AI (AKA machine learning) means that the materiality of the computing “cloud” is going to become harder to ignore. How come? Well, machine learning requires a different kind of computer processor – graphics processing units (GPUs) – which are considerably more complex (and expensive) than conventional processors. More importantly, they also run hotter, and need significantly more energy.
On the cooling front, Kate Crawford notes in an article published in Nature last week that a giant datacentre cluster serving OpenAI’s most advanced model, GPT-4, is based in the state of Iowa. “A lawsuit by local residents,” writes Crawford, “revealed that in July 2022, the month before OpenAI finished training the model, the cluster used about 6% of the district’s water. As Google and Microsoft prepared their Bard and Bing large language models, both had major spikes in water use – increases of 20% and 34%, respectively, in one year, according to the companies’ environmental reports.”
Within the tech industry, it has been widely known that AI faces an energy crisis, but it was only at the World Economic Forum in Davos in January that one of its leaders finally came clean about it. OpenAI’s boss Sam Altman warned that the next wave of generative AI systems will consume vastly more power than expected, and that energy systems will struggle to cope. “There’s no way to get there without a breakthrough,” he said.
What kind of “breakthrough”? Why, nuclear fusion, of course. In which, coincidentally, Mr Altman has a stake, having invested in Helion Energy way back in 2021. Smart lad, that Altman; never misses a trick.
As far as cooling is concerned, it looks as though runaway AI also faces a challenge. At any rate, a paper recently published on the arXiv preprint server by scientists at the University of California, Riverside, estimates that “operational water withdrawal” – water taken from surface or groundwater sources – of global AI “may reach [between] 4.2 [and] 6.6bn cubic meters in 2027, which is more than the total annual water withdrawal of … half of the United Kingdom”.
Given all that, you can see why the AI industry is, er, reluctant about coming clean on its probable energy and cooling requirements. After all, there’s a bubble on, and awkward facts can cause punctures. So it’s nice to be able to report that soon they may be obliged to open up. Over in the US, a group of senators and representatives have introduced a bill to require the federal government to assess AI’s current environmental footprint and develop a standardised system for reporting future impacts. And over in Europe, the EU’s AI Act is about to become law. Among other things, it requires “high-risk AI systems” (which include the powerful “foundation models” that power ChatGPT and similar AIs) to report their energy consumption, use of resources and other impacts throughout their lifespan.

It’d be nice if this induces some investors to think about doing proper due diligence before jumping on the AI bandwagon.

AI’s craving for data is matched only by a runaway thirst for water and energy | John Naughton

The computing power for AI models requires immense – and increasing – amounts of natural resources. Legislation is required to prevent environmental crisis

www.theguardian.com

...and that is another reason why Brainchip will succeed.
Just like us AI needs food (energy) and water to survive.
BRN will lessen the need for power and water.

 

[DingoBorat]

Oh wow!

Nvidia's next-gen AI GPUs could draw an astounding 1000 Watts each, a 40 percent increase — Dell spills the beans on B100 and B200 in its earnings call

A lot of power for an AI and HPC processor.

www.tomshardware.com

"Dell, one of the world's largest server makers, has spilled the beans on Nvidia's upcoming AI GPUs, codenamed Blackwell. Apparently, these processors will consume up to 1000 Watts, a 40% increase in power over the prior-gen, requiring Dell to use its engineering ingenuity to cool these GPUs down."

That's just funny.. They are increasing power requirements by 40%??
They've even codenamed it "Blackwell"..

Brings to mind an image, of a heat blackened "water" well...

Looking like they will struggle to cool the damn things and they subconsciously know it..

Let the good times roll.

 

[Esq.111]

Maybe BrainChip should do an over the top TOPS , FULLY THROTTLED version with not one but two tungsten filament GLOW coils ( just so we can burn an extra 5 to ten KWH ) .

And Charge customers $100 k plus per chip so thay think thay are getting value for money.

Would appear this is how thay swing pressently.

Truely beggers believes.

No F*€£k IT let's charge $200 k per chip , then it must be realy realy amazing , right.

Esq.

 

[IloveLamp]

#ros2 #robotics #polarfire #soc #riscv | Microchip Technology Inc.

Get details on Robot Operating System (ROS) 2 for the RISC-V based PolarFire® SoC FPGA. The framework is also detailed in this blog article: https://mchp.us/3tCU5ZA. Acceleration Robotics #ROS2 #Robotics #PolarFire #soc #riscv

www.linkedin.com

https://www.microchip.com/en-us/about/media-center/blog/2023/integrating-ros-2-with-microchip-polarfire-soc-fpga?utm_campaign=robot-operating-system-polarfire&utm_source=linkedin.com&utm_medium=Post&utm_content=SharePoint45353.3333

 

[DingoBorat]

​

AI’s craving for data is matched only by a runaway thirst for water and energy​

John Naughton

The computing power for AI models requires immense – and increasing – amounts of natural resources. Legislation is required to prevent environmental crisis

Sun 3 Mar 2024 02.55 AEDT


One of the most pernicious myths about digital technology is that it is somehow weightless or immaterial. Remember all that early talk about the “paperless” office and “frictionless” transactions? And of course, while our personal electronic devices do use some electricity, compared with the washing machine or the dishwasher, it’s trivial.
Belief in this comforting story, however, might not survive an encounter with Kate Crawford’s seminal book, Atlas of AI, or the striking Anatomy of an AI System graphic she composed with Vladan Joler. And it certainly wouldn’t survive a visit to a datacentre – one of those enormous metallic sheds housing tens or even hundreds of thousands of servers humming away, consuming massive amounts of electricity and needing lots of water for their cooling systems.


On the energy front, consider Ireland, a small country with an awful lot of datacentres. Its Central Statistics Office reports that in 2022 those sheds consumed more electricity (18%) than all the rural dwellings in the country, and as much as all Ireland’s urban dwellings. And as far as water consumption is concerned, a study by Imperial College London in 2021 estimated that one medium-sized datacentre used as much water as three average-sized hospitals. Which is a useful reminder that while these industrial sheds are the material embodiment of the metaphor of “cloud computing”, there is nothing misty or fleecy about them. And if you were ever tempted to see for yourself, forget it: it’d be easier to get into Fort Knox.

There are now between 9,000 and 11,000 of these datacentres in the world. Many of them are beginning to look a bit dated, because they’re old style server-farms with thousands or millions of cheap PCs storing all the data – photographs, documents, videos, audio recordings, etc – that a smartphone-enabled world generates in such casual abundance.
But that’s about to change, because the industrial feeding frenzy around AI (AKA machine learning) means that the materiality of the computing “cloud” is going to become harder to ignore. How come? Well, machine learning requires a different kind of computer processor – graphics processing units (GPUs) – which are considerably more complex (and expensive) than conventional processors. More importantly, they also run hotter, and need significantly more energy.
On the cooling front, Kate Crawford notes in an article published in Nature last week that a giant datacentre cluster serving OpenAI’s most advanced model, GPT-4, is based in the state of Iowa. “A lawsuit by local residents,” writes Crawford, “revealed that in July 2022, the month before OpenAI finished training the model, the cluster used about 6% of the district’s water. As Google and Microsoft prepared their Bard and Bing large language models, both had major spikes in water use – increases of 20% and 34%, respectively, in one year, according to the companies’ environmental reports.”
Within the tech industry, it has been widely known that AI faces an energy crisis, but it was only at the World Economic Forum in Davos in January that one of its leaders finally came clean about it. OpenAI’s boss Sam Altman warned that the next wave of generative AI systems will consume vastly more power than expected, and that energy systems will struggle to cope. “There’s no way to get there without a breakthrough,” he said.
What kind of “breakthrough”? Why, nuclear fusion, of course. In which, coincidentally, Mr Altman has a stake, having invested in Helion Energy way back in 2021. Smart lad, that Altman; never misses a trick.
As far as cooling is concerned, it looks as though runaway AI also faces a challenge. At any rate, a paper recently published on the arXiv preprint server by scientists at the University of California, Riverside, estimates that “operational water withdrawal” – water taken from surface or groundwater sources – of global AI “may reach [between] 4.2 [and] 6.6bn cubic meters in 2027, which is more than the total annual water withdrawal of … half of the United Kingdom”.
Given all that, you can see why the AI industry is, er, reluctant about coming clean on its probable energy and cooling requirements. After all, there’s a bubble on, and awkward facts can cause punctures. So it’s nice to be able to report that soon they may be obliged to open up. Over in the US, a group of senators and representatives have introduced a bill to require the federal government to assess AI’s current environmental footprint and develop a standardised system for reporting future impacts. And over in Europe, the EU’s AI Act is about to become law. Among other things, it requires “high-risk AI systems” (which include the powerful “foundation models” that power ChatGPT and similar AIs) to report their energy consumption, use of resources and other impacts throughout their lifespan.

It’d be nice if this induces some investors to think about doing proper due diligence before jumping on the AI bandwagon.

AI’s craving for data is matched only by a runaway thirst for water and energy | John Naughton

The computing power for AI models requires immense – and increasing – amounts of natural resources. Legislation is required to prevent environmental crisis

www.theguardian.com

There's a solution, to the power at least..

 

[Slade]

We are lucky to have Rob Telson working at BrainChip.

 

[Pom down under]

Afternoon Chippers ,

This caught my eye , naturaly nothing related ..... though we could help know doubt.

Might add , RED BULL would be a great company to join our partner list ..... these fiends are into every extreme sport....... ie, capture the hearts & minds of the young whipper snappers , who inturn adapt to future tech faster than the past.

World's Fastest Camera Drone Vs F1 Car (ft. Max V…:

Regards,
Esq.

 

[jtardif999]

Maybe BrainChip should do an over the top TOPS , FULLY THROTTLED version with not one but two tungsten filament GLOW coils ( just so we can burn an extra 5 to ten KWH ) .

And Charge customers $100 k plus per chip so thay think thay are getting value for money.

Would appear this is how thay swing pressently.

Truely beggers believes.

No F*€£k IT let's charge $200 k per chip , then it must be realy realy amazing , right.

Esq.

Common sense will eventually prevail. The economics and power saving of Akida will make it essential AI every where.

 

[TECH]

...and that is another reason why Brainchip will succeed.
Just like us AI needs food (energy) and water to survive.
BRN will lessen the need for power and water.

I shall never forget that Engineers Australia event that I attended in 2019 in Perth, I believe I was the only shareholder whom
attended that night, including paying for the privilege to meet Peter and Adam for the first time in person.

That was the night that I learnt that Akida didn't require an internet connection to function, but could at full capacity on 2 AAA batteries for
approximately 6 months (from memory).

I remember Peter delivering his presentation, that statement just blew me away, as we all know the AI explosion is already upon us,
the demand worldwide will never be able to be contained once it's in full swing, and Brainchip's technology just can't be ignored, we
all know it, and I'm hoping within 5 years, Jensen Huang will have realized he should have possibly pounced earlier, because we really
are primed for explosive sales growth worldwide, in my biased opinion of course.

Love Akida..

 

[ndefries]

Not sure if this has been shared

Neuromorphic hardware for sustainable AI data centers

Adobe Acrobat

acrobat.adobe.com

https://arxiv.org/pdf/2402.02521

 

[7für7]

I shall never forget that Engineers Australia event that I attended in 2019 in Perth, I believe I was the only shareholder whom
attended that night, including paying for the privilege to meet Peter and Adam for the first time in person.

That was the night that I learnt that Akida didn't require an internet connection to function, but could at full capacity on 2 AAA batteries for
approximately 6 months (from memory).

I remember Peter delivering his presentation, that statement just blew me away, as we all know the AI explosion is already upon us,
the demand worldwide will never be able to be contained once it's in full swing, and Brainchip's technology just can't be ignored, we
all know it, and I'm hoping within 5 years, Jensen Huang will have realized he should have possibly pounced earlier, because we really
are primed for explosive sales growth worldwide, in my biased opinion of course.

Love Akida..

Yes, AI is unstoppable. In my opinion, the boom has not really started yet. Consider this: all governments must soon agree on certain guidelines that regulate the applications of artificial intelligence and also "rein it in," so to speak. In this regard, I assume that both companies and investors are holding back a bit and waiting to see how everything develops. Nobody wants to go all-in only to accept cuts later because anxious politicians thwarted the whole thing. It’s may be a little bit dramatic example, but one must see which AI applications they allow for the masses and which they use for their own interests in government circles. This is just my objective opinion

 

[miaeffect]

Not sure if this has been shared

Neuromorphic hardware for sustainable AI data centers

Adobe Acrobat

acrobat.adobe.com

https://arxiv.org/pdf/2402.02521

 

[Tothemoon24]

 

[7für7]

Yes, AI is unstoppable. In my opinion, the boom has not really started yet. Consider this: all governments must soon agree on certain guidelines that regulate the applications of artificial intelligence and also "rein it in," so to speak. In this regard, I assume that both companies and investors are holding back a bit and waiting to see how everything develops. Nobody wants to go all-in only to accept cuts later because anxious politicians thwarted the whole thing. It’s may be a little bit dramatic example, but one must see which AI applications they allow for the masses and which they use for their own interests in government circles. This is just my objective opinion

I have to add…

One must also be aware that governments always speak with a forked tongue. This means they present us with "benefits for consumers" and sell it to us as a measure to protect citizens, when in reality it is paternalism and another tool to control citizens. Like the European government with their “AI-Act”

 

[Diogenese]

Yes, AI is unstoppable. In my opinion, the boom has not really started yet. Consider this: all governments must soon agree on certain guidelines that regulate the applications of artificial intelligence and also "rein it in," so to speak. In this regard, I assume that both companies and investors are holding back a bit and waiting to see how everything develops. Nobody wants to go all-in only to accept cuts later because anxious politicians thwarted the whole thing. It’s may be a little bit dramatic example, but one must see which AI applications they allow for the masses and which they use for their own interests in government circles. This is just my objective opinion

Simon Thorpe has advocated a universal income for many years to offset the disruption to the workplace from AI.

Now Sam Altman has jumped on the bandwagon and will no doubt make a bigger splash:


OpenAI's Statement SHOCK the Entire Industry! AI Riots vs "Moore's Law for Everything" by Sam Altman (youtube.com)



OpenAI's Statement SHOCK the Entire Industry! AI Riots vs "Moore's Law for Everything" by Sam Altman

...
@ 19:30

This will be a hard sell in ideologically entrenched America. Still they hounded Chaplain out so this bloke shouldn't prove too difficult.

 

[Food4 thought]

There's a solution, to the power at least..

View attachment 58352

Looks just like Sam Altman

 

[Diogenese]

Simon Thorpe has advocated a universal income for many years to offdet the disruption to the workplace from AI.

Now Sam Altman has jumped on the bandwagon and will nor doubt make a bigger splash:


OpenAI's Statement SHOCK the Entire Industry! AI Riots vs "Moore's Law for Everything" by Sam Altman (youtube.com)



OpenAI's Statement SHOCK the Entire Industry! AI Riots vs "Moore's Law for Everything" by Sam Altman

...
@ 19:30

View attachment 58361


This will be a hard sell in ideologically entrenched America. Still they hounded Chaplain out so this bloke shouldn't prove too difficult.

He's not the messiah - he's a very naughty boy!

 

[Fullmoonfever]

Wonder if we have any products / releases potentially in Switzerland sooner than later or down the track or just future proofing business practice, noting we don't TM everywhere

We know we just did the demo at IFS with NVISO and NVISO are headquartered in Switzerland...hmmmm.

"Securing your trademark overseas is a strategic move that bolsters your brand protection efforts and paves the way for successful international expansion. Whether you are actively exploring new markets or foreseeing potential opportunities, early registration offers a myriad of benefits, including global brand protection, trust-building, and enforcement capabilities. By safeguarding your brand identity worldwide, you fortify your company's position in the global marketplace and pave the way for a prosperous and secure future."

From a vehicle view, Switzerland does have some, what I would suspect are more boutique, manufacturers as apparently 4 out of 5 cars sold in Switzerland are German brands.

2021 post.

Car manufacturers of Switzerland

List of Swiss cars

www.drivingyourdream.com

Apols, the classifications just copied over as is.

Akida​

PENDING TRADEMARK - IGE-IPI (Switzerland)

• 210Serial number
  01266/2024
  551Kind of mark
  Individual
  550Type of mark
  Word
  511Nice classification - NCL
  9, 37, 42
• 220Application date
  January 29, 2024
  180Expiry date
  January 29, 2034
• 541Reproduction of the mark where the mark is represented in standard characters
  Akida

NAMES AND ADDRESSES​

• 730 NAME AND ADDRESS OF THE APPLICANT OR THE HOLDER​

  -Name
  Brainchip, Inc.
  -Address
  
  
  
  -Country
  USA

• 740 NAME AND ADDRESS OF THE REPRESENTATIVE​

  -Name
  Swissberg AG
  -Address
  
  
  
  -Country
  Switzerland

CLASSIFICATION​

511 THE INTERNATIONAL CLASSIFICATION OF GOODS AND SERVICES FOR THE PURPOSES OF THE REGISTRATION OF MARKS (NICE CLASSIFICATION) AND/OR LIST OF GOODS AND/OR SERVICES CLASSIFIED ACCORDING THERETO​

• -9
  Elektronische Datenverarbeitungsgeräte • Computerchips • Computerchip-Sets • Mikrochips • neuromorphe Computerchips • Halbleiterprozessorchips • Computerhardware zur Ermöglichung von Anwendungen der künstlichen Intelligenz • Computerhardware zur Ermöglichung neuromorpher Berechnungen • neuronale Netzwerkprozessoren, die zentrale Verarbeitungseinheiten sind • neuromorphe Datenprozessoren • integrierte Schaltungen • Computerchips mit einer vordefinierten Architektur • herunterladbare Computersoftware und Computerhardware für die Informationsverarbeitung, bei der Informationen auf eine Weise verarbeitet werden, die der Art und Weise ähnelt, wie das menschliche Gehirn Informationen verarbeitet • herunterladbare Computersoftware zum Entwerfen und Entwickeln von Softwareanwendungen • herunterladbare Computersoftware-Anwendungsprogramme, die Software-Schnittstellen zum Entwerfen und Entwickeln von Software für künstliche Intelligenz implementieren • elektronische Datenverarbeitungsgeräte für die Bereitstellung einer Plattform für künstliche Intelligenz, die auf neuromorpher Berechnung basiert • herunterladbare Software zur Verwendung von Computerchips für künstliche Intelligenz zum Entwerfen von Softwareanwendungen • herunterladbare Software für neuromorphes Rechnen • herunterladbare Software zum Aufbau von Plattformen für künstliche Intelligenz und Plattformen für künstliche Intelligenz, die auf neuromorpher Berechnung basieren • herunterladbare Software für maschinelles Lernen, kognitives Rechnen, tiefes Lernen (Deep Learning) und zum Entwerfen von Softwareanwendungen, die künstliche Intelligenz nutzen • herunterladbare Software für Anwendungsprogrammierschnittstellen (API), Software für Schnittstelle zur Programmierung von Anwendungen • herunterladbare Software in Form eines Widgets für maschinelles Lernen und zum Entwerfen von Softwareanwendungen, die künstliche Intelligenz nutzen
  -37
  Technische Unterstützungsdienste, nämlich Fehlersuche in Form der Reparatur von Computer-Hardware-Problemen • Anpassung von Computer-Hardware • Beratung im Zusammenhang mit der Reparatur von Computer-Prozessoren • Bereitstellung von Informationen und Beratung im Bereich der Reparatur von neuromorphen Computer-Prozessoren
  -42
  Forschungs-, Beratungs- und Entwurfsdienstleistungen in Bezug auf die Entwicklung von Computersoftwareprogrammen und -architektur und Computerhardwarearchitektur • Forschungs-, Beratungs- und Entwurfsdienstleistungen im Bereich der Entwicklung von Computersoftware für künstliche Intelligenz und neuronale Netze • Computernetzkonfigurationsdienstleistungen, nämlich die Konfiguration neuromorpher Systeme, neuromorpher Berechnungen und künstlicher neuronaler Netze • technische Unterstützungsdienstleistungen, nämlich die Fehlerbehebung in Form der Diagnose von Computerhardware- und -softwareproblemen • Integration von Computerhardware und -software als Computerdienstleistungen, nämlich die Integration von Computersoftware in Computerhardwaresysteme • Tests von Computersoftware und -hardware • Installation, Aktualisierung und Wartung von Computersoftware • Computerprogrammierdienste für andere • Bereitstellung von nicht herunterladbarer Online-Software für die Verwendung von Computerchips mit künstlicher Intelligenz zum Entwerfen von Softwareanwendungen • Bereitstellung von nicht herunterladbarer Online-Software für neuromorphes Computing • Bereitstellung von nicht herunterladbarer Online-Software zum Aufbau von Plattformen mit künstlicher Intelligenz • Bereitstellung von nicht herunterladbarer Online-Software für maschinelles Lernen, kognitives Computing, tiefes Lernen (Deep Learning) und zum Entwerfen von Softwareanwendungen unter Verwendung künstlicher Intelligenz • Bereitstellung von nicht herunterladbarer Online-Software für Anwendungsprogrammierschnittstellen (API), Bereitstellung von nicht herunterladbarer Software für Schnittstellen zur Programmierung von Anwendungen • Bereitstellung von nicht herunterladbarer Online-Software in Form eines Widgets für maschinelles Lernen und für den Entwurf von Softwareanwendungen unter Verwendung künstlicher Intelligenz • Software as a Service (SaaS) mit Software zur Verwendung bei der Softwareentwicklung von Anwendungen und Schnittstellen für Entwickler • Anpassung von Web-Software, nämlich Entwurf von Anwendungsprogrammierschnittstellen für andere • Bereitstellung von nicht herunterladbarer Online-Computersoftware für die Informationsverarbeitung, bei der Informationen auf eine Weise verarbeitet werden, die der Art und Weise ähnelt, wie das menschliche Gehirn Informationen verarbeitet • Beratungs- und Informationsdienstleistungen in Bezug auf Informationstechnologie und Informationstechnologieforschungszwecke, insbesondere Zusammenstellung von Informationen in Bezug auf die Informationstechnologie für Technologieforschungszwecke • Zusammenstellung von statistischen Daten für Informationstechnologieforschungszwecke • computergestützte Beratung in Bezug auf Computerprozessoren • Bereitstellung von Informationen und Beratung auf dem Gebiet der Computertechnologie in Bezug auf neuromorphe Computerprozessoren • Forschung auf dem Gebiet der Computerprozessoren

IP OFFICE - IGE-IPI (Switzerland)​