BRN Discussion Ongoing

[Baisyet]

View attachment 37174
Nice and close to the bar after yesterday's grilling at the AGM

Sean seems a lot more confident than yesterday. A couple of Johnny Blues may have helped.

I think this is one of the best Interview

 

[Quatrojos]

Around 2min into the ASX Investor interview, Hehir refers to AKD1000 being applicable to vibration detection.

April 27, 2023:

Whole Lotta Shakin’ Goin On

A discussion on how to detect unwanted vibration easily and inexpensively in motor control systems for preventive maintenance / predictive failure analysis.

www.renesas.com

Renesas' Reality AI solutions combine advanced signal processing with artificial intelligence on inexpensive edge nodes, for example this vibration sensing motor control solution. Reality AI solution can be added to any motor control solution. It will take the speed and current information and evaluate the data through AI functions. Since Reality AI is targeted at “edge nodes”, it requires very little resources in the MCU, just a little additional memory to execute the AI functions. No additional hardware is required.

2 nodes may be all it takes for this to fire in the latter half of the year...

 

[buena suerte :-)]

Here it is

Brilliant .... Great interview with the ASX investor (good to see him again) ... Sean spoke very well and answered questions with great fluidity ... very happy with his responses. Thanks for posting @alwaysgreen

 

[FJ-215]

Here it is

Thanks AG,

Only half way through but just had to say, that is one seriously looking, highly stressed dude. Get that man to a golf course, stat. Followed by a decent lunch and an amble supply of quality Australian Red.

Yep, crap first year.

I don't know what the AGM message was meant to be.....seemed a mix of bad economics, bad marketing and poor product????

Shit........

 

[Terroni2105]

Well written, I really like the idea of board members (non-executive) each addressing the shareholders and explaining how they are contributing. When I think about it that should really be a given that it does happen. I have made a note for myself to ask for this at the next AGM.


edit: this was in reply to OutbackJohn post but it didn’t seem to link
Post in thread 'BRN Discussion Ongoing'
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-300622

 

[alwaysgreen]

The last comment. Let's get a couple of licenses over the line over the next 12 months.

 

[TheUnfairAdvantage]

Some quotes or excerpts from the interview.

- We are highly confident that revenue will be coming across the line in the future. Not 12 months. Not 3-5 years but somewhere in between.

So 2 years for any decent revenue.

- Funding: We are examining all options.

Sounds like a cap raise incoming.

I think the reference to revenue and the timing should be more in context of the message given.

Revenue was referred to in the first instant as continuing to be lumpy. The second instance was referred to as a cadence of income or fluidity (regular flow). This was where the somewhere in between comment was. So….we could possibly see revenue sooner (lumpy) and later, but a regular flow and exponential growth of income is somewhere between 12 months and 3 to 5 years. That’s my take.

 

[alwaysgreen]

I think the reference to revenue and the timing should be more in context of the message given.

Revenue was referred to in the first instant as continuing to be lumpy. The second instance was referred to as a cadence of income or fluidity (regular flow). This was where the somewhere in between comment was. So….we could possibly see revenue sooner (lumpy) and later, but a regular flow and exponential growth of income is somewhere between 12 months and 3 to 5 years. That’s my take.

Yeah that is why I said "decent" revenue. Licenses are required but royalties are where we will make consistent, high margin revenue.

 

[TheUnfairAdvantage]

Yeah that is why I said "decent" revenue. Licenses are required but royalties are where we will make consistent, high margin revenue.

Well, depends on your perspective. I would think $7 to $10 million over the next 12 months in lumps would be decent.

But, yes, we all would prefer regular flow of royalties, and a decent amount of course.

 

[Xhosa12345]

Some quotes or excerpts from the interview.

- We are highly confident that revenue will be coming across the line in the future. Not 12 months. Not 3-5 years but somewhere in between.

So 2 years for any decent revenue.

- Funding: We are examining all options.

Sounds like a cap raise incoming.

Super loose numbers:

24m burn per year
17m in bank
So need 8m in lumpy Revenue in a year to break even (obviously not counting any lda capital addional draw down)

How much more from lda available?

Hopefully enough to get to the 2 year point at the above burn rate before the material streams Hopefully commence

Ill check in more detail the cash and projections, im on my phone atm its hard

 

[Boab]

Brilliant .... Great interview with the ASX investor (good to see him again) ... Sean spoke very well and answered questions with great fluidity ... very happy with his responses. Thanks for posting @alwaysgreen

I enjoyed when he spoke about the Board and how they were tough and keeping him on target or words to that effect.
As share holders I believe this world class board has our backs.
Good interview and he is much more at ease when he is not reading his own words.
I wonder why else he was in Melbourne?

 

[GDJR69]

Here it is

I just watched the ASX Investor interview with Sean Hehir - just out on YouTube - it was a great interview. Noah from the ASX Investor is so knowledgeable about BRN and Akida that he asks all the right questions that informed shareholders want answered. As a result, it was a great platform for Sean to answer those questions and I thought he did very well with some very encouraging responses. It was just the interview that was needed at this time. The interview left me feeling excited again about the future of the company and the product. If you haven't seen it, it is a must watch. Success is coming . . .

 

[Mt09]

@chapman89 what happened to the Valeo post?

 

[Getupthere]

@chapman89 what happened to the Valeo post?

Vanished

 

[Humble Genius]

Edge Impulse at it......

 

[Mt09]

Vanished

I thought I was loosing my marbles..

 

[The Pope]

I enjoyed when he spoke about the Board and how they were tough and keeping him on target or words to that effect.
As share holders I believe this world class board has our backs.
Good interview and he is much more at ease when he is not reading his own words.
I wonder why else he was in Melbourne?

As FYI after Melbourne today, Sean is off to Perth then to Japan and then to Europe. I spoke to him for a few minutes not long after the AGM had finished.

 

[DingoBorat]

Super loose numbers:

24m burn per year
17m in bank
So need 8m in lumpy Revenue in a year to break even (obviously not counting any lda capital addional draw down)

How much more from lda available?

Hopefully enough to get to the 2 year point at the above burn rate before the material streams Hopefully commence

Ill check in more detail the cash and projections, im on my phone atm its hard

Your "17m in bank" (USD) doesn't include the 12.2 million (AUD) received from the recent LDA capital call...

There is still a further, roughly 10m shares for capital call before the end of the year (as well as an option for an additional 10 million shares).

So I think you are overstating BrainChip needs for more funding, at least at this point.

 

[DingoBorat]

Here it is

Great interview.

Loved the part about BrainChip's goal to not just be a participant, but one of the 2 or 3 major players, of the Edge A.I. Market, once it has matured.

Along with the appropriate market capitalisation, for such a position.

Sean still has lofty goals it seems

 

[Fullmoonfever]

Reading the recent article below from Datanami highlights to me the importance of the Quantum Ventura relationship.

Interestingly, the article refers to Sandia Labs collaboratively developing this particular NPU.

Who runs Sandia?

R&D division of the DOE.

The Quantum Ventura and Brainchip collaboration on CyberNeuro-RT is also part of a project by the DOE.

F#&K these stupid DOTs

BrainChip and Quantum Ventura Partner to Develop Cyber Threat Detection

BrainChip and Quantum Ventura Partner to Develop Cyber Threat Detection

www.businesswire.com

“Neuromorphic computing is an ideal technology for threat detection because of its small size and power, accuracy, and in particular, its ability to learn and adapt, since attackers are constantly changing their tactics,” said Srini Vasan, President and CEO of Quantum Ventura Inc. “We believe that our solution incorporating BrainChip’s Akida will be a breakthrough for defending against cyber threats and address additional applications as well.”

“This project with the Department of Energy offers an ideal opportunity to demonstrate how Akida opens up new possibilities in cybersecurity, including the ability to run complex AI algorithms at the edge, reducing the dependency on the cloud,” said Rob Telson, Vice President of Ecosystems & Partnerships at BrainChip. “We are excited about the progress that Quantum Ventura are making with BrainChip in this project which is extremely vital to the safety of the nation’s infrastructure.”

How Neuromorphic Processing and Self-Searching Storage Can Slash Cyber Risk for Federal Agencies

The amount of information organizations must process at the edge has exploded. This is especially true for federal agencies and the military, which

www.datanami.com

May 1, 2023

How Neuromorphic Processing and Self-Searching Storage Can Slash Cyber Risk for Federal Agencies​

David Follett

(Stuart Miles/Shutterstock)

The amount of information organizations must process at the edge has exploded.

This is especially true for federal agencies and the military, which generate enormous quantities of data from mobile devices and sensors in equipment, buildings, ships, aircraft, and more.

Finding effective ways to manage, use, and protect that data is challenging. But there’s an effective and cost-efficient solution. The combination of neuromorphic processing and self-searching computational storage can enable organizations to quickly process vast troves of edge data.

The Edge Data Dilemma​

Edge data can provide insights that enables more effective core missions. Trouble is, the compute and network infrastructure needed to handle that data hasn’t kept up. Organizations lack the compute power to process the data at the edge, and they lack the network bandwidth to transmit the data to a centralized location where they have processing power.

Traditional computing technology takes up too much space and generates too much heat to be useful at the edge.

Traditional network technology can’t move extremely large quantities of data over long distances at useful speeds. As one example, the average U.S. Navy ship produces petabytes of data from crew, operational systems, weapons systems, and communications. For many use cases, that data can’t be processed till the ship has docked.

The Cyber Advantage​

Agencies must not only find effective ways to manage data, they also need to protect their assets from cyber threats.

Today, cybersecurity teams must sift through enormous quantities of data when responding to cyberattacks. To uncover anomalies and home in on root causes, they need to search large datasets from access logs and security information and event management (SIEM) systems. They also need to complete that task in as near real time as possible to prevent a mission-disrupting cyber breach. But to date, they’ve lacked an effective compute and storage solution to achieve that goal at the edge.



(Rapeepat-Pornsipak/Shutterstock)
A new report from Cyberedge found that 68% of government agencies faced a cyberattack in 2021, underlying the need for agencies to find innovative solutions for data protection in case of an attack. Active response capacity can be critical when responding to a cyber incident, substantially reducing cyber risk and protecting the mission by quickly finding the data and alerting analysts in real time.

The Power of Neuromorphic Processing​

It would be helpful if computers functioned more like the human brain. A human can look at a field of thousands of yellow flowers and instantly spot the single red flower. A computer needs to process each flower individually until it can find the anomaly.

That’s because the brain has been fine-tuned over eons of evolution to perform specific tasks very well. And it does so while consuming remarkably little energy.
But what if, like the brain, a computer could perform a specific task very quickly while requiring very little power? That’s the promise of a neuromorphic processor – essentially, a computer modeled after systems in the brain.

Here’s how neuromorphic processing can transform cyber risk at the edge. Start with a neuromorphic processing unit (NPU) built on a high-end field-programmable gate array (FPGA) integrated circuit customized to accelerate key workloads. Add a few dozen terabytes of local SSD storage. The result is an NPU-based, self-searching storage appliance that can perform extremely fast searches of very large datasets – at the edge and at very low power.

Just how quickly can NPU technology search a large dataset? Combine multiple NPU appliances in a rack, and you can search 1 PB of data in about 12 minutes. To achieve that result with traditional technology, you’d need 62 server racks – and a very large budget. In testing, the NPU appliance rack requires 84% lower CapEx, 99% lower OpEx, and 99% less power.



Imagine the advantage of searching a petabyte of data in minutes when responding to a situation like the Sunburst hack. Affecting at least 200 organizations–including government departments such as Defense, Homeland Security, Treasury, Commerce, and Justice–the Sunburst hack began around March 2020 but wasn’t discovered until December 2020. Agencies had to search at least nine months of data to determine where breaches occurred, current breach activity, and which systems, networks, and data were affected.

Neuromorphic processing and self-searching storage can slash incident response times in situations like this. That can save costs, accelerate incident resolutions, and reduce cyber risk.

​

Making the Use Case for NPU Appliances​

The NPU search technology was developed in collaboration with Sandia National Laboratories, an R&D lab of the Department of Energy. Today Sandia is actively using multiple NPU systems for cyber defense and other use cases.

One compelling aspect of am NPU appliance is that it can help organizations comply with President Biden’s May 2021 Executive Order on Improving the Nation’s Cybersecurity. In response to the order, the Office of Management and Budget issued a directive requiring agencies to retain 12 months of active data storage and 18 months of cold data storage. For many agencies, that presents a serious budgetary challenge. Am NPU appliance can make such data retention cost-effective.

What’s more, deployment of NPU appliance storage requires no changes to an organization’s current IT infrastructure or cyber defenses. The appliance simply sits alongside existing hardware and cybersecurity solutions. Searching of large datasets occurs at the edge. Any small quantities of relevant data identified can quickly and easily be transmitted for centralized analysis.

There are other potential use cases for an NPU appliance. For instance, one Fortune 50 company used the technology for data labeling to train a machine learning algorithm. The organization reduced the time required from one month to 22 minutes. In the meantime, for federal agencies and the military, neuromorphic processing and self-searching storage is an achievable, cost-effective solution for protecting sensitive data and slashing cyber risk at the edge.
https://www.datanami.com/wp-content/uploads/2023/05/david-follett.png

About the author: David Follett is the founder and CEO of Lewis Rhodes Labs. David is a senior technology executive with 30 years of experience in semiconductors, optics, computer architecture and neuroscience. He started his career at Bell Labs Murray Hill and was the founder and CEO of GigaNet, a networking start-up that invented virtualized interfaces, ultimately evolving into Infiniband.