BRN Discussion Ongoing

[Pom down under]

Enough is enough both of you, @Bravo and @Frangipani. We all understand your points now, and both of you had the chance to comment on them, but now it is getting annoying to all of us! And stop reporting each other, because you both are valuable to this forum and we do not want to lose either of you, even if you do not like each other. Please stop this fight and if you can't, then do it via direct message to each other.
Thank you!

 

[TheDrooben]

Wrong 41% not 46…
And no you are not right

Greens Highly Overrepresented in Journalist Survey; AfD Not Mentioned

The 2024 long-term study “Journalism and Democracy” reveals that 41 percent of the 525 journalists surveyed in Germany identify with the Greens. The second most common response was “No party,” with 23 percent. While support for the SPD (16 percent) and FDP (3 percent) is relatively consistent with national polls, the Greens and the Left (6 percent) are significantly overrepresented among journalists. In contrast, support for the CDU (8 percent) and BSW (1 percent) is considerably lower in this survey. The AfD does not appear in the study at all.

 

[manny100]

I assume we will get Episode 7 of the Quarterly podcasts in November? A key question will be progress of engagements and the amount of interest in PICO and TENNs.

 

[Tothemoon24]

Your AI infrastructure costs will bankrupt you by 2027. Sussex University's alarming study shows why industry leaders are silently switching to 𝐧𝐞𝐮𝐫𝐨𝐦𝐨𝐫𝐩𝐡𝐢𝐜 𝐜𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠..



𝐁𝐫𝐞𝐚𝐤𝐢𝐧𝐠 𝐍𝐞𝐰𝐬: Sussex University reveals shocking AI energy costs - training one ChatGPT model uses as much energy as driving to the moon and back.

Meanwhile, Intel's neuromorphic chip runs similar tasks using just 20 watts.


Here's why this matters for your business:
The Current AI Crisis:
- Data centers consume 200 terawatt-hours yearly
- AI energy use will match the power needs of entire nations by 2027
- Companies face rising Scope 3 emission challenges
- Traditional AI infrastructure costs increasing by 750% every 2 years


Here is Neuromorphic Computing:
- Works like the human brain
- Uses 1000x less energy
- Projected $8.9 billion market by 2025
- Leading solution for sustainable AI

Major Players Taking Action:
- Intel: Loihi 2 chip deployment
- IBM: Medical AI applications
- BrainChip: Autonomous systems
- Samsung: Mobile device integration

Professor Nowotny (Sussex University) warns: "The free lunch of AI is over." But there's hope:
Implementation Timeline:
2024: Early adoption phase
2025: Infrastructure development
2026: Widespread integration
2027: Market maturity


Smart Business Moves Now:
- Partner with green data centers
- Start small-scale AI testing
- Plan for neuromorphic integration
- Invest in team training


Reality Check:
What's Ready:
Pilot programs
Edge computing applications
Energy monitoring systems

What's Not:
Complete infrastructure replacement
Universal compatibility
Instant deployment solutions


Investment Considerations:
- Hardware: $100K-$1M
- Training: 6-12 months
- Integration: 12-18 months
- Energy savings: Up to 90%

Action Steps:
- Audit current AI energy use
- Identify pilot project opportunities
- Partner with sustainable tech providers
- Develop phased implementation plan

The Future Is Brain-Inspired!

Question: How is your organization preparing for the AI energy challenge? What steps are you taking toward sustainable AI implementation?

Want to learn more about transitioning to energy-efficient AI? Let's connect and discuss.

 

[Pom down under]

View attachment 72179


Your AI infrastructure costs will bankrupt you by 2027. Sussex University's alarming study shows why industry leaders are silently switching to 𝐧𝐞𝐮𝐫𝐨𝐦𝐨𝐫𝐩𝐡𝐢𝐜 𝐜𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠..



𝐁𝐫𝐞𝐚𝐤𝐢𝐧𝐠 𝐍𝐞𝐰𝐬: Sussex University reveals shocking AI energy costs - training one ChatGPT model uses as much energy as driving to the moon and back.

Meanwhile, Intel's neuromorphic chip runs similar tasks using just 20 watts.


Here's why this matters for your business:
The Current AI Crisis:
- Data centers consume 200 terawatt-hours yearly
- AI energy use will match the power needs of entire nations by 2027
- Companies face rising Scope 3 emission challenges
- Traditional AI infrastructure costs increasing by 750% every 2 years


Here is Neuromorphic Computing:
- Works like the human brain
- Uses 1000x less energy
- Projected $8.9 billion market by 2025
- Leading solution for sustainable AI

Major Players Taking Action:
- Intel: Loihi 2 chip deployment
- IBM: Medical AI applications
- BrainChip: Autonomous systems
- Samsung: Mobile device integration

Professor Nowotny (Sussex University) warns: "The free lunch of AI is over." But there's hope:
Implementation Timeline:
2024: Early adoption phase
2025: Infrastructure development
2026: Widespread integration
2027: Market maturity


Smart Business Moves Now:
- Partner with green data centers
- Start small-scale AI testing
- Plan for neuromorphic integration
- Invest in team training


Reality Check:
What's Ready:
Pilot programs
Edge computing applications
Energy monitoring systems

What's Not:
Complete infrastructure replacement
Universal compatibility
Instant deployment solutions


Investment Considerations:
- Hardware: $100K-$1M
- Training: 6-12 months
- Integration: 12-18 months
- Energy savings: Up to 90%

Action Steps:
- Audit current AI energy use
- Identify pilot project opportunities
- Partner with sustainable tech providers
- Develop phased implementation plan

The Future Is Brain-Inspired!

Question: How is your organization preparing for the AI energy challenge? What steps are you taking toward sustainable AI implementation?

Want to learn more about transitioning to energy-efficient AI? Let's connect and discuss.

No just energy

Massive new AI data centres will generate millions of tonnes of electronic waste

Huge data centres built for generative AI will generate millions of tonnes of electronic waste by 2030, the equivalent of discarding billions of smartphones each year, a study suggests.

www.abc.net.au

 

[Labsy]

Interesting SP movement after miserable quarter...
Feels like someone is accumulating based other information doesn't it?
Just pure speculation

 

[Bravo]

Enough is enough both of you, @Bravo and @Frangipani. We all understand your points now, and both of you had the chance to comment on them, but now it is getting annoying to all of us! And stop reporting each other, because you both are valuable to this forum and we do not want to lose either of you, even if you do not like each other. Please stop this fight and if you can't, then do it via direct message to each other.
Thank you!

Hi Chips,

It‘s getting annoying for me too. I really shouldn’t have to feel the need to defend myself over and over again. There are more important things to focus on in life. So perhaps it’s time for me to sign out for a little while.

Good luck to all genuine holders. We’ve stuck together through thick and thin and I’m very hopeful that our luck will turn shortly.

B x

 

[Rach2512]

Hi Chips,

It‘s getting annoying for me too. I really shouldn’t have to feel the need to defend myself over and over again. There are more important things to focus on in life. So perhaps it’s time for me to sign out for a little while.

Good luck to all genuine holders. We’ve stuck together through thick and thin and I’m very hopeful that our luck will turn shortly.

B x

Bravo, you can't leave, I love reading your posts, please don't go. I believe I'm not the only one that would really love you to stay. Just put whom ever is upsetting you on ignore, I find it really helps. I'll send you a pic of my cat, he's pretty cute.

 

[Ethinvestor]

Interesting SP movement after miserable quarter...
Feels like someone is accumulating based other information doesn't it?
Just pure speculation

I agree

 

[cosors]

Just for info: Siemens buys Altair

"Siemens CEO Roland Busch said combining Siemens' online digital platform Xcelerator with Altair "will create the world's most complete AI-powered design and simulation portfolio"."

https://www.reuters.com/markets/deals/siemens-buy-engineering-software-firm-altair-106-bln-deal-2024-10-30/

 

[Pom down under]

Hi Chips,

It‘s getting annoying for me too. I really shouldn’t have to feel the need to defend myself over and over again. There are more important things to focus on in life. So perhaps it’s time for me to sign out for a little while.

Good luck to all genuine holders. We’ve stuck together through thick and thin and I’m very hopeful that our luck will turn shortly.

B x

Hopefully you’ll be back before our next announcement in 2030

 

[Tothemoon24]

Brainchip’s MetaTF Software Tools ease the Transition of ML Models to the Edge​

Kurt Manninen, BrainChip Senior Solutions Architect​

Empowering Companies: Seamless AI Migration to the Edge​

In their latest survey report, Edge Impulse highlights that the estimated market value of edge AI will be $143.6B by 2032. Companies that are early adopters of AI on the edge, particularly those that are willing to invest in the latest neural network hardware to give themselves an advantage over their competitors, will be looking to their vendors to help make the transition as painless as possible. This is why BrainChip developed our MetaTF framework: as a way for companies to effortlessly transition their existing machine learning models into a format that takes advantage of Akida’s event-based computing platform.

MetaTF is a suite of tools that can be used to convert, quantize and run existing machine learning models on an Akida event-based processor, which reduces computations by only computing on event data, not the raw sparse data as conventional NPUs must do. It was built for the purpose of providing an easy path for current and prospective BrainChip customers to validate their existing models on our advanced processor. As an experienced software and machine learning engineer who is new to event-based computing, BrainChip’s MetaTF allowed me to use tools that I already know (i.e. Python and Jupyter Notebooks) to experiment with ML on the edge. This is a valuable offering that will help engineers at developer organizations quickly migrate their processes to edge-based learning.

Embedded Devices ≠ Servers​

When it comes to deploying machine learning solutions, embedded devices present unique challenges compared to traditional server environments. Unlike servers with standardized architectures and operating systems, the world of IoT devices is incredibly diverse. From smartphones to smart sensors, each device may have a different architecture, run on a different operating system, or in some cases, operate on bare metal without any OS at all. This design diversity makes software packaging and installation a complex task. Moreover, when scaling to thousands or even millions of devices, manually managing each installation becomes impractical. This is where software build tools become invaluable, offering a way to manage complexity, ensure repeatability, and create consistent device images across a wide range of hardware configurations.

Edge Impulse+MetaTF = The Easy Button for Buildroot and Yocto​

Training a model, and making it small enough for low size, weight and power devices is one thing, but packaging and deploying the application to the edge device is another. BrainChip has extensive experience with major embedded build systems such as Buildroot and Yocto. Our goal is to ensure that our Akida System on Chip design can be seamlessly integrated into our customers unique embedded environments. Furthermore, our partnership with Edge Impulse is helping to revolutionize the ML-to-Edge training and deployment process, making it easier than ever to deploy advanced event-based machine learning solutions on embedded devices.

A prime example of our expertise in action is the Akida™ Edge Box, developed in collaboration with our partners VVDNand Edge Impulse. This innovative product embodies the principles discussed in this blog post, showcasing our ability to tackle complex edge AI challenges. The Edge Box runs on an NXP i.MX 8M application processor, featuring dual Akida 1000 chips on reference boards connected to a single M.2 PCI card. Our demonstration models were trained using Edge Impulse Studio and we bundled our MetaTF libraries into the target image using NXP’s i.MX Yocto Project Board Support Package. This real-world application demonstrates our commitment to integrating cutting-edge event-based computing with established embedded system build tools.

To learn more about how BrainChip’s solutions architecture team can integrate cutting-edge event-based machine learning into your embedded device toolchain, or to explore how the BrainChip Edge AI Box could benefit your AI initiatives, contact us for a demonstration. We’re here to help you take your specific ML processing needs and AI products to the edge.

 

[CHIPS]

Hi Chips,

It‘s getting annoying for me too. I really shouldn’t have to feel the need to defend myself over and over again. There are more important things to focus on in life. So perhaps it’s time for me to sign out for a little while.

Good luck to all genuine holders. We’ve stuck together through thick and thin and I’m very hopeful that our luck will turn shortly.

B x

I hope this is only a Halloween joke?? We need and we want you here, but this counts for Frangipani too. You both are so different and have enough space here to co-exist. Just BOTH be a bit more tolerant please and if that does not work out then just ignore each other. Who is going to run when it is time? Who is going to fill the bubble bath? And who is going to fill this forum with a lot of information the others would not find? You are important to us!
Please do not leave!

 

[Sosimple]

Akida Pico

 

[Adika]

Enough is enough both of you, @Bravo and @Frangipani. We all understand your points now, and both of you had the chance to comment on them, but now it is getting annoying to all of us! And stop reporting each other, because you both are valuable to this forum and we do not want to lose either of you, even if you do not like each other. Please stop this fight and if you can't, then do it via direct message to each other.
Thank you!

You're not seriously putting Bravo in the same category as Frangipani? She's not a rude, unfriendly, inconsiderate, or nasty and she certainly doesn't bully anyone from the forum like Frangipani does in a subtle but obvious way. I really can't blame Bravo for walking away, she has been copping sh!t from Frangipani for a fair while now.

 

[Smoothsailing]

You're not seriously putting Bravo in the same category as Frangipani? She's not a rude, unfriendly, inconsiderate, or nasty and she certainly doesn't bully anyone from the forum like Frangipani does in a subtle but obvious way. I really can't blame Bravo for walking away, she has been copping sh!t from Frangipani for a fair while now.

First it was fact finder now it’s Bravo , well dun pongy ,absolute disgrace.

 

[supersonic001]

BrainChip on LinkedIn: NEW on the Blog: Edge Impulse’s latest report projects the edge AI market…

NEW on the Blog: Edge Impulse’s latest report projects the edge AI market to reach $143.6B by 2032. As early adopters look for seamless support, BrainChip’s…

www.linkedin.com

 

[mrgds]

I assume we will get Episode 7 of the Quarterly podcasts in November? A key question will be progress of engagements and the amount of interest in PICO and TENNs.

Hi @manny100 , yes, confirmed by TD that it will be around mid November.
Cheers

 

[Rach2512]

You're not seriously putting Bravo in the same category as Frangipani? She's not a rude, unfriendly, inconsiderate, or nasty and she certainly doesn't bully anyone from the forum like Frangipani does in a subtle but obvious way. I really can't blame Bravo for walking away, she has been copping sh!t from Frangipani for a fair while now.

Couldn't agree more, everyone here, well maybe not 1, but everyone else I'm sure loves Bravo ❤

 

[mrgds]

Akida Pico

@Sosimple .......... imagine that, Neuralink { Elon Musk } & Akida Pico , combined in a chip!