BRN Discussion Ongoing

Diogenese

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Around 2.10 of the interview Rob does mention Driver recognition, Gesture and voice. He then said its been around a couple of years which coincides with the timing of including an article on the Brainchip website (January 2022) concerning the Brainchip/Merc tie up.
It was regarded as pretty bi news at the time.
Is it possible Merc will use AKIDA via the chips being integrated in Qualcomm, NVIDIA etc products. Merc have a team evidently putting it all together.
Then there's the enigmatic "... partners rather than competitors ..." runestone.
His answer Keyeat and @RegBet, is a little odd..

Don "Is this technology being utilised right now?"

Rob "It's still in the process of being adopted"

Was he referring specifically to the application he was describing?
You'ld assume he was referring to AKIDA technology in general.

But then why say that, when we know 100% that it's in the VVDN box, basically now? (although I guess, they are only available for pre-order and not actually working "in the field").

So, taking that into consideration, we know that nothing is actually "in the market yet" but that doesn't mean that there aren't products "ready" (process of being adopted) to go?

The VVDN box, being a prime example.

So looks like, there will definitely not be the start of any royalty revenue, in the coming quarterly.

There will be a small amount of engineering fees and hopefully a surprise lump or two of IP licence revenue through MegaChips (which is not required as an ASX announcement, as it's indirect).
Hi DB,

As I said above, I think that the "still being developed" thing is connected to MB's recently discussed statement that their AI processor is "still being developed" (paraphrase), and that they would soon announce another development partner, and we know Nvidia and Qualcomm have already been announced ...
 
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Ha

ha ha….a friend of a friend of a friend…….hit me up with your home video of spraying disinfectant again!
I don't think you can just laugh off previous close connections, where Sean has worked.

Business is all about networking and relationships.

A past relationship, is a potential foot in the door.

Although the origin of that saying, was a salesman literally "putting his foot in your doorway" so you couldn't close it and he could continue his spiel..

20240122_222538.jpg
 
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Kachoo

Regular
Then there's the enigmatic "... partners rather than competitors ..." runestone.

Hi DB,

As I said above, I think that the "still being developed" thing is connected to MB's recently discussed statement that their AI processor is "still being developed" (paraphrase), and that they would soon announce another development partner, and we know Nvidia and Qualcomm have already been announced ...
If its in the context of MB Dio as you say then his awnser is quite positive.

Look we know BRN worked with Akida in August 2023 so clearly that's getting developed.

The biggest take away is the fo us on AI and on the edge.

I'm sure many that overlooked BRN for that term may be back to glancing at the technology again as it seem to be the industry shift. Long way from the WANCA term lol
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
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Sirod69

bavarian girl ;-)
I think Sean Hehir has been involved previously with HP, if I'm not mistaken.

View attachment 54933 View attachment 54932
Sean worked at HP for a total of 9 years
AND
Our CTO M Anthony Lewis worked at HP, he has been at Brn since November 23.

  • Logo von BrainChip
    Chief Technology OfficerChief Technology Officer
    BrainChip · VollzeitBrainChip · VollzeitNov. 2023–Heute · 3 MonateNov. 2023–Heute · 3 MonateUnited States · Vor OrtUnited States · Vor Ort
      • Leading the edge neuromorphic compute revolution.Leading the edge neuromorphic compute revolution.
  • Logo von SeaDrone
    Advisory Board MemberAdvisory Board Member
    SeaDroneSeaDroneDez. 2021–Heute · 2 Jahre 2 MonateDez. 2021–Heute · 2 Jahre 2 MonatePalo Alto, California, United StatesPalo Alto, California, United States
      • Kenntnisse: Applied ResearchKenntnisse: Applied Research
  • Logo von Elysium Robotics
    Member Board Of DirectorsMember Board Of Directors
    Elysium RoboticsElysium RoboticsJan. 2019–Heute · 5 Jahre 1 MonatJan. 2019–Heute · 5 Jahre 1 Monat
      • Kenntnisse: Applied ResearchKenntnisse: Applied Research
  • Logo von HP
    VP, Global Head of the Artificial Intelligence and Emerging Compute Lab, Office of the CTOVP, Global Head of the Artificial Intelligence and Emerging Compute Lab, Office of the CTO
    HPHPJan. 2018–Juni 2020 · 2 Jahre 6 MonateJan. 2018–Juni 2020 · 2 Jahre 6 MonatePalo AltoPalo Alto
      • Head of the Artificial Intelligence Emerging Compute Lab, HP Labs

https://www.linkedin.com/in/m-anthony-lewis-b6a6335/overlay/about-this-profile/?lipi=urn:li:page:d_flagship3_profile_view_base;pXv4sGAiTVS6RuDoHKaXEA==

 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Sean worked at HP for a total of 9 years
AND
Our CTO M Anthony Lewis worked at HP, he has been at Brn since November 23.

  • Logo von BrainChip
    Chief Technology OfficerChief Technology Officer
    BrainChip · VollzeitBrainChip · VollzeitNov. 2023–Heute · 3 MonateNov. 2023–Heute · 3 MonateUnited States · Vor OrtUnited States · Vor Ort
      • Leading the edge neuromorphic compute revolution.Leading the edge neuromorphic compute revolution.
  • Logo von SeaDrone
    Advisory Board MemberAdvisory Board Member
    SeaDroneSeaDroneDez. 2021–Heute · 2 Jahre 2 MonateDez. 2021–Heute · 2 Jahre 2 MonatePalo Alto, California, United StatesPalo Alto, California, United States
      • Kenntnisse: Applied ResearchKenntnisse: Applied Research
  • Logo von Elysium Robotics
    Member Board Of DirectorsMember Board Of Directors
    Elysium RoboticsElysium RoboticsJan. 2019–Heute · 5 Jahre 1 MonatJan. 2019–Heute · 5 Jahre 1 Monat
      • Kenntnisse: Applied ResearchKenntnisse: Applied Research
  • Logo von HP
    VP, Global Head of the Artificial Intelligence and Emerging Compute Lab, Office of the CTOVP, Global Head of the Artificial Intelligence and Emerging Compute Lab, Office of the CTO
    HPHPJan. 2018–Juni 2020 · 2 Jahre 6 MonateJan. 2018–Juni 2020 · 2 Jahre 6 MonatePalo AltoPalo Alto
      • Head of the Artificial Intelligence Emerging Compute Lab, HP Labs

https://www.linkedin.com/in/m-anthony-lewis-b6a6335/overlay/about-this-profile/?lipi=urn:li:page:d_flagship3_profile_view_base;pXv4sGAiTVS6RuDoHKaXEA==

Thanks Sirod! Love your research! ❤️
 
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BonezDiez

Emerged
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Spreading love y’all!! ❤️

 
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Diogenese

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Spreading love y’all!! ❤️


Love Tracey Chapman's soulful voice, not sure about that French ring in though..
 
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Tothemoon24

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Business as Usual? Computing Security in the Age of AI​

Many existing foundational security technologies and standards will be more relevant and important than ever in the age of AI.
By Richard Grisenthwaite, EVP, Chief Architect & Fellow, Arm
Artificial Intelligence (AI)Security
Share
AI-security-1400x788.jpeg

As with any technology revolution, AI presents both opportunities and challenges to people’s digital experiences. Alongside its potentially transformative impact, AI also presents unique security threats, with a vast amount of sensitive data being collected, held, and then used to provide highly personalized technology experiences to the end-user. The focus on security is driving industry and government discussions as we work on solutions to maximize AI’s benefits and minimize any potential societal impact.
Security has always been in Arm’s DNA. Addressing security challenges is fundamental to Arm being the technology foundation for AI everywhere. While AI is accelerating technology innovation on an unprecedent scale, Arm’s foundational security technologies deployed in our industry-leading IP and paired with standards will continue to play a significant role managing fresh security threats in the ongoing evolution of AI.

Security’s role in AI at the edge​

As AI becomes more ubiquitous, we expect significant growth in AI inference workloads being run at the edge of the network – on the devices. Inference requires less compute power as it uses an already trained model, with this supporting the broader drive for more efficient AI computing at the edge. This provides quicker user experiences with less delays, as the processing of AI workloads happens closer to where the data is captured.
From a security perspective, this distribution of AI to the edge brings benefits to businesses and users. A key security benefit is that sensitive user data can be handled and processed on the actual device, rather than being sent to third parties to process. This allows both businesses and consumers to have more control of their data.
Arm-NN-blog-post-image-1200x675.jpg

There are plenty of great AI-based security use cases currently, but a good example that really showcases the benefits of AI at the edge is smart vision. Intelligent cameras are being developed and deployed in homes, care homes and hospitals as a way of monitoring elderly relatives in case they fall. Being able to process the image and scene recognition on the actual device creates an inherently more secure system, removing the risk that comes from sending sensitive information to a third-party for processing. This also makes it far more acceptable to have these cameras in environments where they are most needed, which is often where significant privacy concerns exist.

Trusting the hardware​

However, businesses need to be able to trust this hardware, especially in the age of AI where they want to protect their expensively generated AI models from attacks. The demand for secure hardware was reflected in the recent PSA Certified 2023 Security report, which showed that 69 percent of technology decision makers are willing to pay a premium to secure devices, with 65 percent specifically looking for security credentials during purchasing decisions. It is fundamental that edge devices are effectively secured against malicious attackers who wish to steal the intellectual property of AI and machine learning (ML) based models.

Processor security​

The move towards AI at the edge is taking place on the CPU, whether it is handling workloads in their entirety or in combination with a co-processor like a GPU or NPU. With a significant amount of AI computing happening on the CPU, security in the age of AI depends on how secure the CPU is. This is why securing AI is very much dependent on the basics of securing compute.
1600x900-1200x675.png

Deploying code using AI and ML tools and frameworks helps identify security vulnerabilities, but the same technologies can be used by attackers to identify areas to exploit in millions of lines of code. This means that computer architects need to continue their efforts to improve the security of computing systems. This is something that Arm has done for years, where we continuously develop and invest in new security architecture features.

Memory Tagging Extension​

One of these features is Arm’s Memory Tagging Extension (MTE), which is built into the Arm architecture across Arm’s latest v9 CPUs. MTE allows for the dynamic identification of both spatial and temporal memory safety issues, with these accounting for 70 percent of all serious security bugs. These security threats will continue to persist as AI evolves.
MTE-blog-post-image-1200x675.jpg

MTE is already being embraced by the mobile market. MediaTek has implemented the technology on its Arm-based Dimensity 9300 system-on-chip (SoC) for flagship smartphones, while Google has enabled MTE in Android 14. Vivo, which is adopting Dimensity 9300 in its new X100 and X100 Pro flagship smartphones, recently announced a memory safety developer program which makes MTE available to its developer community. These commitments to enabling MTE across the mobile ecosystem will deliver better, more secure user experiences and a quicker time-to-market for millions of developers worldwide. It is likely that we will see MTE used beyond mobile in high-performance IoT markets that feature devices using Arm’s A-profile processors.

Arm security technologies​

As part of the Armv9 architecture, we announced Realm Management Extensions, which is the basis of the of Arm Confidential Compute architecture. This helps to secure the data running virtual machines from attacks arising from the hypervisor being compromised. There is a clear need for this technology in data centers that are being used to train advanced ML models, but it will also be important to secure edge computing systems across IoT markets where trained ML models will be deployed.
We have also introduced Pointer Authentication (PAC) and Branch Target Identification (BTI) as security technologies that are built into the Armv9 architecture to provide far stronger protections against code reuse attacks like Return-Orientated Programming (ROP) and Jump-Orientated Programming (JOP). This is important in the age of AI because attackers will be able to use AI and ML-based tools to develop sophisticated ways of reusing code that already exists. PAC and BTI are being deployed across the A-profile and M-profile Arm architectures that are used in consumer technology and IoT markets.
Security-image11.png

Finally, Arm continues to work in partnership with the industry on our security framework and certification scheme, PSA Certified, with a mission to create a baseline of best practice for all connected devices. Built in from the core, this helps to improve the basic security hygiene of systems and fulfil the consumer expectation that if devices scale then they should be secure, with this targeting IoT devices built on the A-profile and M-profile Arm architectures.

The future of security with Morello​

Alongside these existing security features, Arm is always looking at new technologies, standards, and collaborations to advance security. Morello is one great example, with this program focusing on new ways to design CPU architecture that make processors more robust and deter certain key security breaches. In collaboration with the University of Cambridge and SRI International, this has led to a prototype technology that, if successful, could be implemented in future hardware.
morello-1200x531.jpg

Accelerating security in age of AI​

AI and ML-based technologies are becoming more pervasive across every corner of computing. This will bring opportunities and challenges for security, especially as more AI workloads move to the edge.
Alongside the fast-paced AI-based innovation, the fundamental hygiene principle of security will still be required. In fact, many Arm foundational security technologies that are already in place today will be more relevant than ever in the age of AI.
This is why we are fully committed to advancing the security of our architecture, IP and processors and supporting technology components and standards that it generates. This will continue to accelerate as we add more AI and ML capabilities, with Arm being the secure compute platform for the world’s AI-based experiences.
 
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IloveLamp

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IloveLamp

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🤔

Screenshot_20240123_062932_LinkedIn.jpg
 
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Sirod69

bavarian girl ;-)
just posted on twitter🥰😘


BrainChip's "All Things AI” podcast
@nayampally_n
sits with Yann Le Faou, Director of Touch MCU products and Machine Learning at Microchip Technology.

 
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wilzy123

Founding Member
just posted on twitter🥰😘


BrainChip's "All Things AI” podcast
@nayampally_n
sits with Yann Le Faou, Director of Touch MCU products and Machine Learning at Microchip Technology.




Nandan Nayampally, CMO at BrainChip and Yann Le Faou, Director of Touch MCU products and Machine Learning at Microchip Technology.

Discussion focused on the:
  • widespread adoption of AI at CES and its essential role in corporate strategies.
  • market's progression from initial AI adoption to more widespread exploration and implementation.
  • shift from conceptual AI applications to their actual operational use.
  • challenges of simplifying AI access and usage, highlighting the role of developmental platforms.
  • need for cost-effective AI implementation, particularly in consumer electronics, to facilitate broader adoption.

 
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Hi All
I am sure most here remember a podcast probably over 12 months ago which had amongst others Peter van der Made and towards the end he was asked about when AKIDA would reach Artificial General Intelligence. Peter in responding said that by 2030 AKIDA would reach his version of AGI. If I remember correctly he said it would be probably AKIDA 10.0 by then although he has spoken about this on other occasions as well so maybe mixing that up.

Rob Telson’s comment:

‘We have launched our second generation of our architecture, when you look at when truly intelligent devices will be integrated into consumer based products, we are still 3 to 7 years years out, to see really really intelligent devices that have a level of accuracy that the devices are thinking ahead of us or thinking at the same level that a human does’

By sheer coincidence Rob Telson’s comment aligns with what Peter van der Made predicted. Amazing that.

My opinion only DYOR
Fact Finder
 
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Sirod69

bavarian girl ;-)
Hi All
I am sure most here remember a podcast probably over 12 months ago which had amongst others Peter van der Made and towards the end he was asked about when AKIDA would reach Artificial General Intelligence. Peter in responding said that by 2030 AKIDA would reach his version of AGI. If I remember correctly he said it would be probably AKIDA 10.0 by then although he has spoken about this on other occasions as well so maybe mixing that up.

Rob Telson’s comment:

‘We have launched our second generation of our architecture, when you look at when truly intelligent devices will be integrated into consumer based products, we are still 3 to 7 years years out, to see really really intelligent devices that have a level of accuracy that the devices are thinking ahead of us or thinking at the same level that a human does’

By sheer coincidence Rob Telson’s comment aligns with what Peter van der Made predicted. Amazing that.

My opinion only DYOR
Fact Finder
Do we really have to wait that long? Do you know how old I am already?

Its Been A Long Time Waiting GIF
 
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Do we really have to wait that long? Do you know how old I am already?

Its Been A Long Time Waiting GIF
That's going to kill the great Tech's view of 2025 he'll review his holdings,maybe will need more time
 
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Who knows really? This is why we are 16cents.

Your link says the hearing aide uses a DNN (deep neural network) as opposed to an SNN a spiking neural network. Not good.
But you can make your SNN have many hidden layers which would be called a Deep (Spiking) neural network.

Then they call their processor a "neuro processor".
So this also is (maybe purposefully) confusing. All the NVIDA type processors are referred to as "neural processing". Ours ( and loihi ) are "neuromorphic processors."

So that is the trouble we have when trying to decipher what's happening thru marketing blurbs. So really we can only go on what shares the board members are holding.

Therefore the answer to your question is: You are not allowed to know.
Their potential customer base will work it out soon enough. There’s enough seed BRN customers that will have products on market in 3-7 years for the others to start playing follow the leader.

Reason BRN is at 16c is because it was being priced as a multi IP company with growing revenue. Then the market gradually realised BRN customers were not imminently getting products into the market and were 3-7 years away from decent market penetration, and re-rated BRN to being an R&D company with no commercially significant revenue to speak of.. Hence 16c

Nothing wrong with that unless management led you to believe more should be expected by now.
 
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