BRN Discussion Ongoing

[DingoBorat]

Haven't been back since I joined TSEx. What always perplexed me was why anyone would devote so much energy to dissing a share over such an extended time period.

It seems to me the sensible thing to do if you don't like a share's prospects, is to say so and then walk away, or simply walk away. But it seems that these benificent crusaders are hell bent on saving investors from their own folly over an interminable period of time, no matter how much energy they have to devote to the task. They deserve a medal for devotion to lost causes.

"But it seems that these benificent crusaders are hell bent on saving investors from their own folly over an interminable period of time, no matter how much energy they have to devote to the task"

I think that's only true, in very rare cases.

"Characters" like the cat and mouse, are there for the sole purpose of attempting to influence negatively, the sentiment of shareholders, for their or others direct financial benefit, in my opinion.

Whether that's for trading purposes, shorting, or accumulation.

They are just low life scum.

They "may" be "successful" and drive flash high end cars, from their exploitive methods, but that doesn't change the fact, that they are the gutter trash of humanity.

They are just monkeys, in silk suits.

This is an actual doxxed photograph, of T&J.

 

[JDelekto]

Haven't been back since I joined TSEx. What always perplexed me was why anyone would devote so much energy to dissing a share over such an extended time period.

It seems to me the sensible thing to do if you don't like a share's prospects, is to say so and then walk away, or simply walk away. But it seems that these benificent crusaders are hell bent on saving investors from their own folly over an interminable period of time, no matter how much energy they have to devote to the task. They deserve a medal for devotion to lost causes.

Having grown up during the early days of Bulletin Board Systems, Genie, and Delphi forums, and watching the evolution of Usenet and other social media forums over the years, I sense that some of those individuals may not even be trading in the stock.

There are people whose schadenfreude gives them a dopamine hit whenever they get a reaction (especially negative) from random strangers. Unfortunately, stock forums are easy targets for these people, as they know winning or losing money is an emotional rollercoaster. The main people discussing the stock have their money invested with emotional involvement with its gain or loss.

They know people will look at their advertised sentiment before reading their posts, proudly touted as "not held" and "sell". Not necessarily because they are savvy analysts looking to provide free guidance to novice investors who might lose their money, but because they know people will read their sophomoric posts, usually filled with negative or inflammatory content --said content resulting in an emotional flurry of responses from one or more persons.

Once they get this, they've won. They exhibit the behavior of the common internet troll. Posting responses quickly, name-calling, providing a deluge of postings to drown out substantive ones, necroing old threads they know will get a rise from the original poster, or curious others looking for new content on an old topic.

I wish that people in general could peel back the curtain on the intent of these persons and see them for who they are. They don't necessarily need to toggle the ignore on them. This makes the context of the threads an annoying morass to slog through. Instead, I wish they would stop fueling them with a response. Whether they denigrate the stock one invests in or hurl insults at them or their family members, people should learn the art of self-restraint and the patience to ignore these individuals.

Give them enough rope to hang themselves and see them for the internet trolls they truly are as they unmask themselves. Like a fire, remove the oxygen, and they will move on to other easier targets or disappear altogether.

 

[7für7]

"But it seems that these benificent crusaders are hell bent on saving investors from their own folly over an interminable period of time, no matter how much energy they have to devote to the task"

I think that's only true, in very rare cases.

"Characters" like the cat and mouse, are there for the sole purpose of attempting to influence negatively, the sentiment of shareholders, for their or others direct financial benefit, in my opinion.

Whether that's for trading purposes, shorting, or accumulation.

They are just low life scum.

They "may" be "successful" and drive flash high end cars, from their exploitive methods, but that doesn't change the fact, that they are the gutter trash of humanity.

They are just monkeys, in silk suits.

This is an actual doxxed photograph, of T&J.


View attachment 70884

Unfortunately I think this sophisticated monkey would be very pissed of if he would know you compare him with someone who looks actually like this… it’s his new profile picture btw… (no it’s not.. it’s AI generated)

Or like this

 

[7für7]

Last one because its Saturday and we all have a sense of humour!

 

[Diogenese]

Noice.

It does use their SiFive Intelligence (x280 and x390) which is what they initially said would be a good fit with BrainChip “More complex applications such as object recognition, robotics and more can take advantage of SiFive X280 Intelligence™ AI Dataflow processors, which are tightly integrated with BrainChip's Akida-S or Akida-P neural processors.”

come on @Diogenese

Hi Terri,

Ida No.

I haven't seen much about BRN/SiFive since the original April 2022 announcement.

However, here are some benchmarks for comparison with Pico:

https://brainchip.com/sifive-and-brainchip-partner-to-demo-ip-compatibility/

SiFive and BrainChip Partner to Demo IP Compatibility​

By Sally Ward-Foxton

April 20, 2022

SiFive and BrainChip have partnered to show their IP is compatible in SoC designs for embedded artificial intelligence (AI). The companies have demonstrated BrainChip’s neuromorphic processing unit (NPU) IP working alongside SiFive’s RISC–V host processor IP.

Brainchip’s NPU processor IP, the basis for its Akida chip, is a neuromorphic processor designed to accelerate spiking neural networks. This IP can be used to analyze inputs from most sensor types, including cameras, to provide ultra–low power analysis in real–time applications.

A recent BrainChip demo showed its Akida chip in a vehicle, detecting the driver, recognizing the driver’s face, and identifying their voice simultaneously.

Keyword spotting required 600 µW,

facial recognition needed 22 mW, and

the visual wake–word inference used to detect the driver was 6–8 mW.

Read on at EETimes

https://www.eetimes.com/sifive-and-brainchip-partner-to-demo-ip-compatibility/

SiFive and BrainChip Partner to Demo IP Compatibility​

By Sally Ward-Foxton 04.20.2022
...

Jones (Chris Jones, vice president, product at SiFive) described work done so far as the “tip of the iceberg,” adding that the two companies have so far demonstrated compatibility of BrainChip’s IP with SiFive’s RISC–V architecture. The companies will work together on an ongoing basis to further integrate software and hardware IP.

“We have ambitious plans going forward,” Jones said. “SiFive has made great strides in the last year or so, bringing vector processing to market now that [vector processing] has found its niche in AI and image signal processing.”

Part of SiFive’s plan is to build an ecosystem of AI accelerator IP providers whose products are compatible with its host processor IP.

“Our relationship with BrainChip is in no way exclusive,” Jones said. “BrainChip is the first partner we’ve gone public with, but we’re talking to many other players in this space.”

While BrainChip is the company’s first hardware IP partner, SiFive has design wins for its host processor IP, including data center AI accelerator company Tenstorrent.

TENNS was a thing at that time, so the reference to integrating software and hardware IP has more resonance in retrospect. I thought they may have just been talking about the BRN model library as "software", but we know there are other possibilities now.

Impementing software is far cheaper and less time consuming than hardware.

 

[IloveLamp]

Jesse Atlas on LinkedIn: #tata #ev #india #sdv | 38 comments

BMW Group and Tata Technologies joint venture, BMW TechWorks India, which will develop vehicle software for the German automaker, has received the green light… | 38 comments on LinkedIn

www.linkedin.com

BMW Group and Tata Technologies aim to collaborate for the development of Automotive Software and Business IT solutions.

+++ The new Joint Venture (JV) will deliver automotive software, including software-defined vehicle (SDV) solutions for BMW Group’s premium vehicles and digital transformation solutions for its business IT +++ The JV will commence operations with 100 employees and intends to grow to a four-digit...

www.press.bmwgroup.com

 

[rgupta]

VORAGO Technologies on LinkedIn: #achieveyourmission #radhard

We've got lots to share! Join our newsletter to be the first to know what we've been working on. Subscribe here: https://buff.ly/3LDhH58 #AchieveYourMission…

www.linkedin.com

Looking at varago new MCU radiation hardener. The thing which attracts me is very low memory but could not find any snn or I missed something here.

 

[Diogenese]

Hi Terri,

Ida No.

I haven't seen much about BRN/SiFive since the original April 2022 announcement.

However, here are some benchmarks for comparison with Pico:

https://brainchip.com/sifive-and-brainchip-partner-to-demo-ip-compatibility/

SiFive and BrainChip Partner to Demo IP Compatibility​

By Sally Ward-Foxton

April 20, 2022

SiFive and BrainChip have partnered to show their IP is compatible in SoC designs for embedded artificial intelligence (AI). The companies have demonstrated BrainChip’s neuromorphic processing unit (NPU) IP working alongside SiFive’s RISC–V host processor IP.

Brainchip’s NPU processor IP, the basis for its Akida chip, is a neuromorphic processor designed to accelerate spiking neural networks. This IP can be used to analyze inputs from most sensor types, including cameras, to provide ultra–low power analysis in real–time applications.

A recent BrainChip demo showed its Akida chip in a vehicle, detecting the driver, recognizing the driver’s face, and identifying their voice simultaneously.

Keyword spotting required 600 µW,

facial recognition needed 22 mW, and

the visual wake–word inference used to detect the driver was 6–8 mW.

Read on at EETimes

https://www.eetimes.com/sifive-and-brainchip-partner-to-demo-ip-compatibility/

SiFive and BrainChip Partner to Demo IP Compatibility​

By Sally Ward-Foxton 04.20.2022
...

Jones (Chris Jones, vice president, product at SiFive) described work done so far as the “tip of the iceberg,” adding that the two companies have so far demonstrated compatibility of BrainChip’s IP with SiFive’s RISC–V architecture. The companies will work together on an ongoing basis to further integrate software and hardware IP.

“We have ambitious plans going forward,” Jones said. “SiFive has made great strides in the last year or so, bringing vector processing to market now that [vector processing] has found its niche in AI and image signal processing.”

Part of SiFive’s plan is to build an ecosystem of AI accelerator IP providers whose products are compatible with its host processor IP.

“Our relationship with BrainChip is in no way exclusive,” Jones said. “BrainChip is the first partner we’ve gone public with, but we’re talking to many other players in this space.”

While BrainChip is the company’s first hardware IP partner, SiFive has design wins for its host processor IP, including data center AI accelerator company Tenstorrent.

TENNS was a thing at that time, so the reference to integrating software and hardware IP has more resonance in retrospect. I thought they may have just been talking about the BRN model library as "software", but we know there are other possibilities now.

Impementing software is far cheaper and less time consuming than hardware.

This does not look promising:

SiFive offers drop-in AI accelerator driven by RISC-V CPUs

Seems someone's looking for an Arm wrestle

www.theregister.com

SiFive expands from RISC-V cores for AI chips to designing its own full-fat accelerator

Seems someone's looking for an Arm wrestle

Tobias Mann Thu 19 Sep 2024

SiFive, having designed RISC-V CPU cores for various AI chips, is now offering to license the blueprints for its own homegrown full-blown machine-learning accelerator.

Announced this week, SiFive's Intelligence XM series clusters promise a scalable building block for developing AI chips large and small. The idea is that others can license the RISC-V-based designs to integrate into processors and system-on-chips – to be placed in products from edge and IoT gear to datacenter servers – and hopefully foster more competition between architectures.
…

SiFive's base XM cluster is built around four of SiFive's Intelligence X RISC-V CPU cores which are connected to an in-house matrix math engine specifically for powering through neural network calculations in hardware. If you're not familiar, we've previously explored SiFive's X280 and newer X390 X-series core designs, the latter of which can be configured with a pair of 1,024 vector arithmetic logic units.


Matrix maths engines use bytes not spikes.

Keeping the cup half full, I guess the more processors there are, the more opportunities to run TENNS.

 

[GazDix]

Yeah, this is a commonly held theory.
I don't know if it's true or not.
I'd hate to think so, as I used to quite enjoy BL's wit and humour and style.
But money, and the lengths some will go to in the making of it, can have a strong effect on many.
I wish the old BL well, but t&j is one of the worst examples of manipulative deception that I have come across.
Within the limited scope of the crapper he is exceptionally good at selectively twisting the narrative to suit his agenda and quite likely negatively influences some against BrainChip and its management. I find this a dangerous precedent which is gradually corrupting social media and having a deleterious effect on our shared narrative and weakening the fabric of our society.

Yeah. I engaged with BL on X, and his style or concerned with quality of time posting is 100% not that character.

I think The Dean and T&J are the same person. Or one working for the same outfit. To do any of these trolls justice is to think they are individuals with a 'problem'. They are not.

 

[Tothemoon24]

Cheers to Germany

10/12/2024

We have compiled a list of some the most traded ASX companies in with a dual listing on Frankfurt and German exchanges for August 2024.

This list only includes buying on Frankfurt, Tradegate, Berlin, Stuttgart – and the main German trading exchanges.

The table excludes EU Institutional buying as this will generally occur on home exchange where liquidity is better.

 

[Pom down under]

Cheers to Germany



View attachment 70912




10/12/2024

We have compiled a list of some the most traded ASX companies in with a dual listing on Frankfurt and German exchanges for August 2024.

This list only includes buying on Frankfurt, Tradegate, Berlin, Stuttgart – and the main German trading exchanges.

The table excludes EU Institutional buying as this will generally occur on home exchange where liquidity is better.

Only 2nd

 

[Pom down under]

2nd page but nothing we already don’t know

https://www.uwa.edu.au/news/-/media/project/uwa/uwa/newsroom/documents/uniview/uniview-winter-2024-web.pdf

 

[Pandaxxx]

Not sure this was circulated.

BrainChip Akida Pico Scales Down AI Processing - XPU.pub

BrainChip has a new scaled-down Pico configuration of its Akida NPU targeting battery-powered devices, taking advantage SNN's (TENN's) low power.

xpu.pub

 

[TECH]

Check this out, how many times does the word "edge" get mentioned, security, connectivity and intelligence.

We once again cover the lot !...they just wouldn't say that magic word "BRAINCHIP".

Why do companies attend these types of events, listen carefully, because it's exactly why the team were there !

Regards...Tech

 

[DingoBorat]

Not sure this was circulated.

BrainChip Akida Pico Scales Down AI Processing - XPU.pub

BrainChip has a new scaled-down Pico configuration of its Akida NPU targeting battery-powered devices, taking advantage SNN's (TENN's) low power.

xpu.pub

We have the same indomitable spirit!

 

[Harwig]

We have the same indomitable spirit!

https://www.linkedin.com/posts/geis...Ro?utm_source=share&utm_medium=member_android

This is interesting. These people have fingers in lots of pies

 

[DingoBorat]

https://www.linkedin.com/posts/geis...Ro?utm_source=share&utm_medium=member_android

This is interesting. These people have fingers in lots of pies

Geisel Software — Robotics, AI/ML, & IOT Custom Software

Geisel Software – our expertise in robotics, AI/ML, and IoT transforms your challenges into success stories with performant & cost-efficient solutions.

geisel.software

More importantly, the "right" kind of pies

They seem to be a relatively small player though, just going on a less than half the LinkedIn following, we have..

 

[Harwig]

Geisel Software — Robotics, AI/ML, & IOT Custom Software

Geisel Software – our expertise in robotics, AI/ML, and IoT transforms your challenges into success stories with performant & cost-efficient solutions.

geisel.software

More importantly, the "right" kind of pies

View attachment 70918

They seem to be a relatively small player though, just going on a less than half the LinkedIn following, we have..

Yummm

 

[ndefries]

The Motley Fool Australia

Get started today with our new member offer.

www.facebook.com

A good deal perhaps.

 

[Bravo]

I just stumbled over this paper on Reddit.


6 mo. ago
Singularian2501

Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack - New York University 2024 - Highly important to make inference much much faster and allows if scaled in the hard and software stack running gpt-4 locally on humanoid robots!​

Paper: https://arxiv.org/abs/2404.03325
In my opinion, neuromorphic computing is the future as it is far more power efficient than current GPUs that are only optimized for graphics. I think we need an NPU = neuromorphic processing unit in addition to the GPU. I also found it very important that models like gpt-4 (MLLM) can be copied and loaded from it, otherwise they become as useless as the TrueNorth chip, which cannot load models like gpt-4 https://en.wikipedia.org/wiki/Cognitive_computer#IBM_TrueNorth_chip . Spiking neural networks (SNN) are also far more energy efficient. They are the future of AI and especially robotics and MLLM inference. Deepmind - Mixture-of-Depths: Dynamically Allocation Compute in Transformer-based Language Models Paper: https://arxiv.org/abs/2404.02258 show that the field must evolve towards biologically plausible SNN architectures and specialized neuromorphic computing chips that come with them. Because here the transformer is much more like a biological neuron that is only activated when it is needed. Either Nvidia or another chip company needs to develop the hardware and software stack that allows easy training of MLLM like gpt-4 with SNN running on neuromorphic hardware. In my opinion, this should enable 10,000x faster inference speeds while using 10,000x less energy, allowing MLLMs to run locally on robots, PCs and smartphones.
Abstract:

Robotic technologies have been an indispensable part for improving human productivity since they have been helping humans in completing diverse, complex, and intensive tasks in a fast yet accurate and efficient way. Therefore, robotic technologies have been deployed in a wide range of applications, ranging from personal to industrial use-cases. However, current robotic technologies and their computing paradigm still lack embodied intelligence to efficiently interact with operational environments, respond with correct/expected actions, and adapt to changes in the environments. Toward this, recent advances in neuromorphic computing with Spiking Neural Networks (SNN) have demonstrated the potential to enable the embodied intelligence for robotics through bio-plausible computing paradigm that mimics how the biological brain works, known as "neuromorphic artificial intelligence (AI)". However, the field of neuromorphic AI-based robotics is still at an early stage, therefore its development and deployment for solving real-world problems expose new challenges in different design aspects, such as accuracy, adaptability, efficiency, reliability, and security. To address these challenges, this paper will discuss how we can enable embodied neuromorphic AI for robotic systems through our perspectives: (P1) Embodied intelligence based on effective learning rule, training mechanism, and adaptability; (P2) Cross-layer optimizations for energy-efficient neuromorphic computing; (P3) Representative and fair benchmarks; (P4) Low-cost reliability and safety enhancements; (P5) Security and privacy for neuromorphic computing; and (P6) A synergistic development for energy-efficient and robust neuromorphic-based robotics. Furthermore, this paper identifies research challenges and opportunities, as well as elaborates our vision for future research development toward embodied neuromorphic AI for robotics.

https://www.reddit.com/r/mlscaling/comments/1bxci53/embodied_neuromorphic_artificial_intelligence_for/