BRN Discussion Ongoing

[Bravo]

Hi all,

BrainChip posted the following on LinkedIn today and one of the likes was from an Engineer at Deutsche Telekom AG.

View attachment 5118

Turns out that one of Deutsche Telekom's subsidiaries is T-Systems International who are very passionate about Edge Computing and helping their Customers introduce customised edge services into their businesses. T-Systems are currently partnered with Intel and AWS.

Might be worth keeping an eye on, few links of interest below.

Cheers,

Edge Computing

With edge computing services from T-Systems, companies can process critical and protected data directly on site and in real time. Find out more!

www.t-systems.com

https://smart-events.t-systems.com/uploads/consumable/170/file/T-Systems_WP_EdgeComputing_EN_20211019.pdf

Living on the "Edge - Computing" is changing the IT environment

There are reasons why some things should, or even must, be computed and stored on-site again.

www.telekom.com

Leading Digital Telco

Deutsche Telekom is one of the world's leading integrated telecommunications companies. Key facts and figures.

www.telekom.com

​

Thanks for sharing Evermont.

I think this is VERRRRY interesting considering the existing partnership between Nokia and Deutsche Telecom. Back in February 2021, Nokia announced that it had been selected by Deutsche Telekom "as a long-term strategic partner to transform the operator’s optical network to meet Industry 4.0 demands".

I'm going to go out on a limb and suggest that Deutshce Telecom knows about BrainChip through Nokia, which I've posted on previously #1,352
Nokia has stated that "machine learning will be a key part of 5G networks" and if you read this article on "3 Ways Nokia Is Using Machine Learning in 5G Networks" you can begin to understand how transformative AKIDA would be for scheduling beams and configuring channels in a wireless network, for example, training "neural networks how to find the best schedule offline, and then later quickly predict the best schedules on demand."

3 Ways Nokia Is Using Machine Learning in 5G Networks

Artificial intelligence could quickly schedule beams and configure channels in future wireless networks

spectrum.ieee.org

Nokia to help Deutsche Telekom’s optical transport network modernization | Nokia

Press Release Nokia to help Deutsche Telekom’s optical transport network modernization

www.nokia.com

​

 

[Boab]

Sorry if this has already been discussed. https://science.osti.gov/-/media/sbir/excel/2022/FY22-_Phase-II_Release-1_Award.xlsx 5th column down. Phase II Quantum Ventura Inc Award Amount $1,650,000 Based on Phase 1 Feasibility and proof-of-concept developed for Cyber-NeuroRT, we propose to develop a full-fledged prototype. Cyber-NeuroRT, a real-time neuromorphic processor-based monitoring tool to predict and alert cyber threats and warnings using the Neuromorphic Platforms of Intel Loihi and Akida and develop a user-friendly dashboard for analysts. We will expand our capability to detect complex cyber-attacks in near real-time and develop new techniques to detect unknown and unfamiliar cyberattacks using novel neuromorphic unsupervised learning techniques.

Amazing how you found the word AKIDA amongst that excel spreadsheet.
Nice work

 

[Evermont]

Thanks for sharing Evermont.

I think this is VERRRRY interesting considering the existing partnership between Nokia and Deutsche Telecom. Back in February 2021, Nokia announced that it had been selected by Deutsche Telekom "as a long-term strategic partner to transform the operator’s optical network to meet Industry 4.0 demands".

I'm going to go out on a limb and suggest that Deutshce Telecom knows about BrainChip through Nokia, which I've posted on previously #1,352
Nokia has stated that "machine learning will be a key part of 5G networks" and if you read this article on "3 Ways Nokia Is Using Machine Learning in 5G Networks" you can begin to understand how transformative AKIDA would be for scheduling beams and configuring channels in a wireless network, for example, training "neural networks how to find the best schedule offline, and then later quickly predict the best schedules on demand."

3 Ways Nokia Is Using Machine Learning in 5G Networks

Artificial intelligence could quickly schedule beams and configure channels in future wireless networks

spectrum.ieee.org

Nokia to help Deutsche Telekom’s optical transport network modernization | Nokia

Press Release Nokia to help Deutsche Telekom’s optical transport network modernization

www.nokia.com

​

Great pick-up @Bravo77

I also surmised that Deutsche Telekom would likely be aware of Akida through Mercedes. Lots of tentacles running from the T-Systems website, I just haven't had the opportunity to review in detail.

 

[Fact Finder]

Take everyone’s point that him not understanding doesn’t mean the technology isn’t amazing, and it’s just one data point. But his feedback is valid - customer experience is key - communication needs to be simple and clear so that domain specialists can grasp it quickly… these types are key to market adoption.

I agree but on the known facts of which there are few:

1. Phd or not he may have an IQ of less than 100. There is significant research around this area and as I mentioned once before there is a Harvard graduate with an IQ of 90.

2. The fact that he leads with his Phd suggests he trips over his ego on a regular basis.

3. A true enquiring mind would seek further information before making a pronouncement.

4. He may have an agenda such as seeking a research grant to do what Brainchip has already done. We have prior evidence of this occurring.

5. He may be chasing a position at Intel and has a vested interest.

6. It’s a comment on social media he may be a lab assistant just out of high school.

Before we suggest that there is any issue at Brainchip’s end consider the known facts:

1. @uiux a non PhD has mastered the technology.

2. @Diogenese a retired engineer has mastered the technology.

3. NASA, DARPA, ISL, the US Airforce, Mercedes Benz, Valeo, Vorago, Renesas, Socionext, MegaChips, SiFive, Nviso and Intellisense have mastered the technology.

4. Arijit Mukherjee, Arpan Pal and at least ten other engineers at Tata have mastered the technology.

5. All the new staff at Brainchip on all the reports master the technology.

6. The people at Noisy Gut Belt, Biotome and NaNose have mastered the technology.

7. Rob Lincourt DELL Technologies and staff mastered the technology.

So while your point is valid I think on this occasion the problem is not with AKIDA.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Mugen74]

 

[Deleted member 118]

I agree but on the known facts of which there are few:

1. Phd or not he may have an IQ of less than 100. There is significant research around this area and as I mentioned once before there is a Harvard graduate with an IQ of 90.

2. The fact that he leads with his Phd suggests he trips over his ego on a regular basis.

3. A true enquiring mind would seek further information before making a pronouncement.

4. He may have an agenda such as seeking a research grant to do what Brainchip has already done. We have prior evidence of this occurring.

5. He may be chasing a position at Intel and has a vested interest.

6. It’s a comment on social media he may be a lab assistant just out of high school.

Before we suggest that there is any issue at Brainchip’s end consider the known facts:

1. @uiux a non PhD has mastered the technology.

2. @Diogenese a retired engineer has mastered the technology.

3. NASA, DARPA, ISL, the US Airforce, Mercedes Benz, Valeo, Vorago, Renesas, Socionext, MegaChips, SiFive, Nviso and Intellisense have mastered the technology.

4. Arijit Mukherjee, Arpan Pal and at least ten other engineers at Tata have mastered the technology.

5. All the new staff at Brainchip on all the reports master the technology.

6. The people at Noisy Gut Belt, Biotome and NaNose have mastered the technology.

7. Rob Lincourt DELL Technologies and staff mastered the technology.

So while your point is valid I think on this occasion the problem is not with AKIDA.

Springs to mind

 

[Moonshot]

I agree but on the known facts of which there are few:

1. Phd or not he may have an IQ of less than 100. There is significant research around this area and as I mentioned once before there is a Harvard graduate with an IQ of 90.

2. The fact that he leads with his Phd suggests he trips over his ego on a regular basis.

3. A true enquiring mind would seek further information before making a pronouncement.

4. He may have an agenda such as seeking a research grant to do what Brainchip has already done. We have prior evidence of this occurring.

5. He may be chasing a position at Intel and has a vested interest.

6. It’s a comment on social media he may be a lab assistant just out of high school.

Before we suggest that there is any issue at Brainchip’s end consider the known facts:

1. @uiux a non PhD has mastered the technology.

2. @Diogenese a retired engineer has mastered the technology.

3. NASA, DARPA, ISL, the US Airforce, Mercedes Benz, Valeo, Vorago, Renesas, Socionext, MegaChips, SiFive, Nviso and Intellisense have mastered the technology.

4. Arijit Mukherjee, Arpan Pal and at least ten other engineers at Tata have mastered the technology.

5. All the new staff at Brainchip on all the reports master the technology.

6. The people at Noisy Gut Belt, Biotome and NaNose have mastered the technology.

7. Rob Lincourt DELL Technologies and staff mastered the technology.

So while your point is valid I think on this occasion the problem is not with AKIDA.

My opinion only DYOR
FF

AKIDA BALLISTA

Good points and totally agree - confident in the technology. My comment speaks to the challenge of removing friction in the adoption/sales process, which I think SH, JN and RT have the skill set to manage. It’s a complex sell by any measure and the speed of success will be tied to the customer and user experience - both throughout the sales cycle and once adopted. This guy whether he has an IQ of 90 or 160 needs to be able to grasp it quickly and not be put off… although as you said he may have an agenda etc. Not enough information but it’s feedback that shouldn’t be dismissed. I don’t want Akida to be a Betamax!

 

[gex]

If only our little pocket of the world were that influential lol......

The usual premature junk posts from this goose too... LOL...

View attachment 5104

Someone let him know it's still sinking, what a flog

 

[davidfitz]

Slim pickings today.

 

[Evermont]

Slim pickings today.

View attachment 5127

Dollar party?

 

[Fact Finder]

Sorry if this has already been discussed. https://science.osti.gov/-/media/sbir/excel/2022/FY22-_Phase-II_Release-1_Award.xlsx 5th column down. Phase II Quantum Ventura Inc Award Amount $1,650,000 Based on Phase 1 Feasibility and proof-of-concept developed for Cyber-NeuroRT, we propose to develop a full-fledged prototype. Cyber-NeuroRT, a real-time neuromorphic processor-based monitoring tool to predict and alert cyber threats and warnings using the Neuromorphic Platforms of Intel Loihi and Akida and develop a user-friendly dashboard for analysts. We will expand our capability to detect complex cyber-attacks in near real-time and develop new techniques to detect unknown and unfamiliar cyberattacks using novel neuromorphic unsupervised learning techniques.

Hi LuWil
I know this is not your first post but this is a great pick up. @uiux might be keen to know about it given his in depth research in all things

Sorry if this has already been discussed. https://science.osti.gov/-/media/sbir/excel/2022/FY22-_Phase-II_Release-1_Award.xlsx 5th column down. Phase II Quantum Ventura Inc Award Amount $1,650,000 Based on Phase 1 Feasibility and proof-of-concept developed for Cyber-NeuroRT, we propose to develop a full-fledged prototype. Cyber-NeuroRT, a real-time neuromorphic processor-based monitoring tool to predict and alert cyber threats and warnings using the Neuromorphic Platforms of Intel Loihi and Akida and develop a user-friendly dashboard for analysts. We will expand our capability to detect complex cyber-attacks in near real-time and develop new techniques to detect unknown and unfamiliar cyberattacks using novel neuromorphic unsupervised learning techniques.

Hi LuWil
Not your first post but a great pick up. I am sure @uiux in his role as protector of the Third (Fifth) Estate will love to explore this so @uiux if your out there here is another one.

The spider web is spreading at an increasing pace.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[MrRomper]

Emailed Tony last night and he stated the amount of abuse his received from shareholders, sure the report wasn't good but is it Tonys fault

That is really poor form. Some shareholders need to grow up.

 

[Deleted member 118]

Hi LuWil
I know this is not your first post but this is a great pick up. @uiux might be keen to know about it given his in depth research in all things

Hi LuWil
Not your first post but a great pick up. I am sure @uiux in his role as protector of the Third (Fifth) Estate will love to explore this so @uiux if your out there here is another one.

The spider web is spreading at an increasing pace.

My opinion only DYOR
FF

AKIDA BALLISTA

They are currently working with the yanks on various projects

QUANTUM VENTURA INC | SBIR.gov

www.sbir.gov

 

[Esq.111]

Morning Chippers,

I don't suppose anyone has contacted Tony Dawe concerning the release of the latest Top 20 holders list.

I remember someone from BRN stating this would become a standard event going foward, it has accompanied the last two 4C updates, yet this one they have not for some reason.

I will give TSEX members an hour to get back to me with a answer, if knowone has contacted Tony regarding this, then I shall give him a call.

Regards,
Esq.

 

[Taproot]

They are currently working with the yanks on various projects

QUANTUM VENTURA INC | SBIR.gov

www.sbir.gov

Realtime Neuromorphic Cyber-Agents (Cyber-NeuroRT) | SBIR.gov

www.sbir.gov

Cybersecurity in HPC environments operates at much larger scales than traditional IT domains and the traditional Machine learning networks are not fast enough to handle large volumes of computations. Neural networks combined with Edge-based hardware-resident next-generation technologies such as neuromorphic processors can monitor and even predict events in high throughput environments and hence provide an up-and-coming solution to cybersecurity in HPC. To that end, we propose to develop a real-time HPC-scale neuromorphic cyber agent called Cyber-NeuroRT. Cyber-NeuroRT will be a real-time neuromorphic processor based monitoring tool to predict and alert cybersecurity threats and warnings using an ensemble of unsupervised and semi-supervised Machine Learning algorithms. Cyber- NeuroRT is a combination of software cum hardware appliance with neuromorphic processor chips and this will be installed at a server level or at distributed node-level for cyber threat detection. It uses Spiking Neural Networks (SNNs) to learn new attack vectors in addition to labeling known attacks and uses an ensemble of semi-supervised and unsupervised algorithms. Cyber-NeuroRT is a combination of hardware cum software appliance with neuromorphic processor chips that can be installed at a system level or at distributed node-level for cyber threat detection. Neuromorphic based processors excel in identifying patterns and intrusion detection with over 100x efficiency as compared to a GPU based system. In addition, neuromorphic systems can learn to adapt to novel attack vectors. We will use different training techniques like CNN to SNN conversion, direct backpropagation training through surrogate gradient methods or local unsupervised Spike Timing Dependent Plasticity (STDP) enabled approaches. Neuromorphic hardware appliance will have the ability to connect up to 64 neuromorphic processors if additional processing power is required. The neuromorphic processor-based system can surpass the traditional intrusion detection tools (IDS). Some of the features of Cyber-NeuroRT shall include: (a) Ability to monitor, predict and provide system wide alerts of impending cybersecurity threats and warnings by collecting and prioritizing data from real time logging tools/ analysis tools including Zeek (Bro) Logs, PerfSonar, ftp logs, user behavior data, or any type of relevant logs, and other types of sensor data including IoT devices, HVAC, power systems, etc. Initially, we will work on Zeek (Bro) log files in Phase 1 and 2; (b) Ability to process the data system-wide at an unprecedented scale enabling adaptive, streaming analysis for monitoring and maintaining large-scale scientific computing integrity; (c) Training SNNs through direct backpropagation training is computationally expensive due to the gradient descent updates through time. So, potentially we could train our models using ORNL’s Summit type super computers and then perform actual detection of threats using neuromorphic processors; and (d) In addition to neuromorphic processors at the server level, we will also provide an option to process larger Machine Learning Models that can be hosted on next-generation neuromorphic systems under development.

 

[Yoda]

Someone let him know it's still sinking, what a flog

Some of you might be interested in my still ongoing exchange with Motley Fool Australia on Twitter over their quite misleading article about the BRN share price sinking on the back of a disappointing quarterly report. In my latest tweet I have said to them:

'If you allow the article to appear in news feeds after circumstances have changed then yes it is misleading as you openly admit. How about some responsible journalism and you take the article down now.'

They keep responding so I keep firing back. I notice one or 2 of you have also challenged them. I think it's well and truly time we did. I'm really tired of their downramping and nonsense.

 

[TECH]

Just a quick update.

Received another email overnight from the founder of Orbai AI in California, he thanked me for the connection with Brainchip and has a meeting with the team on Friday...Brent the founder also sold a gaming program for $860 Million USD at the age of 24...he's had 3 very successful companies to date...I think we have crossed paths at just the right time, as they are in the same space as us, are looking for a partner who specialises in SNN's in hardware, they have been specialising in SNN's using software and GPU's, so you don't have to be a rocket scientist to realise that we are more advanced than them and can immediately add value to their company, check out some of the heavyweights that they are already partnered up to, with some great communication we may end up sharing in their client base....equals revenue.

Behind every door is an opportunity just waiting to be hatched, it's simply knocking on the right door at the right time.

Regards....Tech x

 

[Bravo]

Artificial intelligence in factory maintenance is no longer a matter of the future

Stories from companies that have embarked on the digital journey are no longer just science fiction. They are real examples of how companies are coping with the lack of skilled labor on the market. Some companies are now looking for new maintenance technologies to replace. Neuron Soundware has...

readwrite.com

 

[Boab]

Just a quick update.

Received another email overnight from the founder of Orbai AI in California, he thanked me for the connection with Brainchip and has a meeting with the team on Friday...Brent the founder also sold a gaming program for $860 Million USD at the age of 24...he's had 3 very successful companies to date...I think we have crossed paths at just the right time, as they are in the same space as us, are looking for a partner who specialises in SNN's in hardware, they have been specialising in SNN's using software and GPU's, so you don't have to be a rocket scientist to realise that we are more advanced than them and can immediately add value to their company, check out some of the heavyweights that they are already partnered up to, with some great communication we may end up sharing in their client base....equals revenue.

Behind every door is an opportunity just waiting to be hatched, it's simply knocking on the right door at the right time.

Regards....Tech x

SNN Autoencoder

Here is a video of our BICHNN Autoencoder / Cortical Column simulation in CUDA with about 100,000 spiking Ishkevich neurons modelled. It’s pretty fast, and well

www.orbai.ai

 

[Fact Finder]

The known knowns, the known unknowns and the unknown unknowns are accelerating at a very aggressive pace.

The strength of the share price might suggest that the known unknowns and the unknown unknowns, know more than those who think they know the knowns.

On this basis now might not be the time to think you know but to wait for the known unknowns and the unknown unknowns to become known at the very least.

My opinion only DYOR
FF

AKIDA BALLISTA