BRN Discussion Ongoing

db1969oz

Regular
Aaaarrrggghhhh I still haven't worked out who it was!!! Am I the only one? The curiosity is killing me haha
I think it was Blind Freddie, I haven’t seen him post for a while!
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wilzy123

Founding Member
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Wags

Regular
Aaaarrrggghhhh I still haven't worked out who it was!!! Am I the only one? The curiosity is killing me haha
Ha, no, your not the only one. I have no idea either. Surely we deserve some clue's?
 
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WBT has gone stratospheric @ $8.17 up 5.93% =53c today = the full price of one BRN share :sick:
Well let us all hope that those who identified it as a much better company than Brainchip way back sensibly sold out of Brainchip and maxed out on WBT otherwise it would be very sad if they were still here holding Brainchip shares.

My opinion only DYOR
FF

AKIDA BALLISTA
 
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Damo4

Regular
Well let us all hope that those who identified it as a much better company than Brainchip way back sensibly sold out of Brainchip and maxed out on WBT otherwise it would be very sad if they were still here holding Brainchip shares.

My opinion only DYOR
FF

AKIDA BALLISTA

With no revenue and a fast run up, I hope those here in the know can see a pattern forming.
If a genie told me I could sell BRN at $2 and still have time to buy in again for 50c before the journey continues I'd have made a different decision.
I hope everyone makes some cash dollars whichever way they bet on BRN or WBT!
 
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Absolutely correct and once someone allows impatience to rule they become vulnerable to suggestion.

You are waiting for someone to arrive. You have created a timeline of your own as to the latest they could possibly arrive. Someone suggests maybe something has happened. You allow yourself to consider a mechanical issue. Someone suggests they may have had an accident. You then begin to worry about will the Police know how to contact you. You get yourself into a state. They arrive. Turns out they left late, needed petrol and decided to pick up their dry-cleaning.

The evidence available to us as shareholders regarding share price increase catalysts of which I am aware is:

1. The price was 4 cents and is now 50 plus cents - Achieved off the back of little to no income simply company progress both technical and commercial;

2. The record share price of $2.34 - Achieved off a press release by Mercedes Benz not about income but trialling of AKIDA technology and its advantages;

3. Motley Fool and other equally well qualified commentators have published on numerous occasions that Brainchip is not an attractive investment as it does not yet produce income;

4. Anonymous posters on HC and TSEx have echoed the statements by Motley Fool and other equally well qualified commentators;

5. On the ASX mining companies and biotechs are constantly valued on potential of their discoveries;

Why is it when points 1., 2. & 5. are indisputable do ordinary retail investors without any agenda ignore the evidence that Brainchip's increasing share price is not totally dependent upon revenue?

Why is it that Motley Fool and other equally well qualified commentators and these retail investors do not set out what revenue numbers are required by them to confirm Brainchip as a solid investment?

Why do these groups not think that increasing revenue from $200,000 to over $5 million over the last two financial years indicates a positive road to commercialisation?

Why do these groups deny the existence of market manipulation involving social media and investment commentators?

I personally have absolutely no idea as everyone on TSEx and HC is anonymous and as such they do not have to submit their CV so I can weigh up whether they have a single clue with respect to the opinions they express or even if they are expressing paid opinions.

This is why I have said for years now do not believe a single word I say or anyone else says here until you have done your own research.

My opinion only DYOR
FF

AKIDA BALLISTA
I agree completely. However, is it possible the record high of $2.34 was the result of a mini short squeeze? We know the shorters love BRN, and the Merc news came out of nowhere, catching shorters by surprise. Just a thought...🤔
 
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Rskiff

Regular
I agree completely. However, is it possible the record high of $2.34 was the result of a mini short squeeze? We know the shorters love BRN, and the Merc news came out of nowhere, catching shorters by surprise. Just a thought...🤔
It would be a interesting comparison to see how many shorts there were back then to now. @Esq.111 are your skills up to this?
 
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It would be a interesting comparison to see how many shorts there were back then to now. @Esq.111 are your skills up to this?
There was certainly one high profile poster at HC who felt the need to communicate that the price of $2.34 was unsustainable and allegedly made a multi million dollar trade but now considers BRN the most over hyped under performing company on the ASX. If I had made millions out of a trade and not lost any money at all I would certainly love BRN but not so everyone it seems so perhaps short interest was at play back then.

My opinion only DYOR
FF

AKIDA BALLISTA
 
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ndefries

Regular
It would be a interesting comparison to see how many shorts there were back then to now. @Esq.111 are your skills up to this?
At December 31 I believe we had 59m shorts which dropped to 29m mid Feb 2022. I think citi was doing a lot of buying to get to their 2nd spot.
 
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Whilst I don't believe we are with Qualcomm as yet, in my personal layman opinion, if we are to be in Snapdragon at any point, I suspect it would be in the sensing hub.

This from their site for a start.


AI comes in different shapes and forms. For example, there’s AI that runs in the cloud — using large, deep neural networks — that lets you categorize your entire photo album in seconds. Then there’s AI that runs only on your smartphone, keeping all the calculation and personal data on the phone while making your social media posts and videos look great.

In this post, we are talking about another kind of AI. It is small and quiet, securely running in the background 24/7 to help you with everyday tasks. Last year at our annual Snapdragon Tech Summit we introduced our 2nd Generation Qualcomm Sensing Hub with a dedicated always-on, low-power AI processor that is uniquely designed to run some tiny, yet powerful AI use cases.

Thanks to this new, dedicated AI processor – now powerful enough to run small AI neural networks on your smartphone
– we are seeing mind-blowing 5X AI performance improvement over our previous-generation Sensing Hub. Because of this performance gain, we took the neural networks that usually run on the Qualcomm Hexagon Processor and ported it to the Sensing Hub. Now we can offload up to 80 percent processing from our Hexagon Processor* — all at less than 1 milliamp (mA) of power consumption.

The sensing hub scope seems right up Akidas function alley & I presume where Prophesee will possibly link in too given the comments on camera function below.

Qualcomm Sensing Hub​

The latest generation of Sensing hub has more horsepower with an additional dedicated AI processor to support audio, sensing and camera-based experiences, becoming the most powerful ultra-low-power AI architecture in the industry.

I also read in some earlier papers about the Zeroth which we all know about.

Back in 2016 was the following article which, as we always know in hindsight, gives a good outline of where they were heading.

Neuromorphic was also the catch word back then for them and gotta wonder that if they can get their hands on something pretty much COTS and more advanced, that can readily slip into their product offering, then why wouldn't you look for a POC at least. Also coupled with the Prophesee relationship as we know.

SNN better than CNN RNN etc as we all believe & if AKD1500 has the CNN2SNN as indicated then the transition may be easier to slip into the sensing hub and run off the Hexagon processor?


Machine learning is no longer a technology confined to supercomputers and massive AI engines – it is coming to the edge of the network and even to the handset, to power new user experiences and make complex decisions close to the user.

Google’s work with Movidius, and IBM’s TrueNorth ‘brain chips’ and device-based deployments of Watson, are examples, but perhaps the most ambitious effort comes from Qualcomm with its Zeroth machine learning platform, which can be embedded in the Snapdragon system-on-chip (SoC).

Initially, Qualcomm’s Zeroth/Snapdragon work focused on bringing AI algorithms and vision processing to cars, but many other applications are in its sights, as highlighted by its new deep learning software developers’ kit (SDK) for the Snapdragon 820 SoC.

Called the Snapdragon Neural Processing Engine, and unveiled at the recent Embedded Vision Summit, the SDK is an attempt by Qualcomm to expand beyond its core smartphone markets – by enticing automotive, industrial, and IoT developers to its Snapdragon platform. It also sees the chip supplier looking for broader market reach, and accelerated uptake, by enabling a great deal of its brain-like functionality in software.

Back in May 2014, when Qualcomm first introduced the Zeroth project, the goal was to build a neural processing unit (NPU) that would be a hardware module for its advanced SoCs. But dedicated hardware not only adds to cost and power consumption for mobile devices, but raises barriers to developer support.

So the new SDK for the neuromorphic Zeroth Machine Intelligence Platform – Qualcomm’s equivalent of IBM’s TrueNorth – aims to bring the hardware-specific functions of these brain chips to a more general purpose Snapdragon platform. This will help mobile devices to leverage the potential of silicon that acts in a manner somewhat akin to the human brain.

While IBM is planning on shipping its brain chips to end-customers, who will put them to use in servers, the Qualcomm approach relies on software to bring those capabilities to a far more adaptable chipset – one that can be used in mobile devices, industrial IoT endpoints and vehicles.

Machine learning is central to the evolution of the IoT. There simply aren’t enough engineers to monitor and manage the billions of devices that are expected to be deployed. There aren’t enough developer resources to teach image recognition to camera systems, or collision avoidance to autonomous cars, and so the machines have to be able to evolve from a base-level intelligence installed in the factory, and adapt to the dynamic world around them.

If a connected traffic camera had to poll a real human being every time it spotted a car licence plate it didn’t recognize, entire systems would crawl to a halt. From the edge devices to the centralized data center deployments, machine learning enables vast libraries of data to be independently analyzed at speeds far in excess of what a human could manage – in theory, creating value from data that is just lying around, waiting to be used.

Qualcomm says that the SDK will allow OEMs to run their neural network models on the Snapdragon 820, which will allow devices like smartphones, drones, and automobiles, to carry out image recognition, object tracking, gesture and facial recognition, and natural language processing.

The new SDK’s flagship features include an accelerated runtime for the on-device execution of the convolutional and recurrent neural networks, configured in software to get the most out of the 820’s cores – the 64-bit Kyro quad-core CPU, Adreno 530 GPU, and the Hexagon 680 DSP.

A core part of the offering is the Snapdragon’s ability to move its workloads between the different cores, in order to achieve an optimal load or efficiency. This heterogeneous compute power should allow for more capable end devices, and support for Caffe and CudaConvNet is also included, which will be appreciated by developers who have used those familiar environments.

“The demand for untethered, mobile learning-driven user experiences is increasing rapidly and Qualcomm Technologies’ customers have been clamoring for tools to help them realize their product visions,” said Gary Brotman, director of product management at Qualcomm Technologies. “With the introduction of the new Snapdragon Neural Processing Engine SDK, we are making it possible for myriad sectors, including mobile, IoT and automotive to harnesses the power of Qualcomm Snapdragon 820 and make high-performance, power efficient on-device deep learning a reality.”

The Zeroth software package is currently used in Qualcomm’s Snapdragon Scene Detect, for spotting objects or faces in a camera view and adjusting the settings accordingly, and its Smart Protect malware detection, which looks for anomalous behavior in the phone that might be a sign of a security compromise.

Qualcomm has referred to this offering as one of the first examples of the emerging age of “conscious computing”. Last fall, Raj Talluri, SVP of product management in mobile computing, said in an interview: “We’ve done a lot of work getting cameras and computer vision optimized in the phone space. Now we’re bringing that technology into this space where the application is a little different, but the technology we built applies perfectly.” The result, he said, is “a camera conscious of what’s happening in the scene”.

That consciousness is achieved with software to perform on-camera video analytics such as object detection, facial detection and recognition and multi-object tracking, harnessing Zeroth to classify different objects.

By bringing the intelligence to the local site, Qualcomm believes the cameras will be able to go a step further than current cloud-based systems
– for instance, not just distinguishing residents of the home from strangers, but being able to ignore ‘safe’ incidents, like a car driving past outside, and not waste time and processing power by uploading images of them.

This reveals the Qualcomm agenda – to shift the edge of the network into the device, and to make the mobile gadgets, in which its chips are so strong, the seat of artificial intelligence, rather than the centralized machine learning platforms where Intel is the dominant silicon provider and the smarts are controlled by IBM or Google. Zeroth is key to this agenda, but the Snapdragon camera indicates the same directions.

More prosaically, it also opens up new addressable markets for Qualcomm processors, amid intense pressures in the smartphone market. Talluri said: “We’re tapping into our immense portfolio to build custom platforms for key segments within the IoT, and connected cameras are one of these areas that can benefit.
 
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charles2

Regular
Are we vulnerable to outrageous buyout offers. Of course not.

But if we were

Nvidia files mixed shelf offering of up to $10 billion​

 
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wilzy123

Founding Member
A remarkable thing about these job ads is the expressed willingness to consider informal experience in lieu of formal qualifications:

  • B.S. in Computer Science, or EE; will consider experience in lieu of education

I guess one thing driving this is the fact that the internet makes all knowledge available.

Another thing is that there are lots of "amateur" software programmers without formal qualifications, and programming can be learnt on-line.

Mind you, I would think that an unqualified applicant would need exceptional experience to be considered for some of the BrainChip jobs that have been advertised.

Hiring is not what it was 10, 20, 30+ years ago. Degrees are not essential, especially in this field of work. If anything, I think the absence of consideration given to 'experience in lieu of education' is a big red flag for a lot of people.

 
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White Horse

Regular
Hi all.
Question of new employment location resolved.

On 1/03/2023 3:37 pm, Tony Dawe wrote:

Hi John,

Thank you for your email and for bringing this to our attention.

I checked with our HR Manager and with our CFO and it appears to be an error.

The ad is being taken down and fixed. We are not expanding our office locations.

Regards


Tony Dawe
Director, Global Investor Relations
+61 (0)405 989 743
 
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Hi all.
Question of new employment location resolved.

On 1/03/2023 3:37 pm, Tony Dawe wrote:
Nope...don't believe it...cover up....it's a new skunk works :ROFLMAO:


sandig-fake-news.gif
 
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Dang Son

Regular
Well let us all hope that those who identified it as a much better company than Brainchip way back sensibly sold out of Brainchip and maxed out on WBT otherwise it would be very sad if they were still here holding Brainchip shares.

My opinion only DYOR
FF

AKIDA BALLISTA

Sad is that the market has completely lost interest in BRN after our massive P&D ( not to say that wont change if we can make a go of Akd1.5 and actually sell it as they're threatening to)
I don't hold WBT and haven't followed their tech but seems they Managed to avoid the pitfall that constrains BRN investors at present.
(Not to say WBT won't retrace some but certainly looks to be out of the woods)
Congratulations WBT holders. 🍻
 
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Moonshot

Regular
Sad is that the market has completely lost interest in BRN after our massive P&D ( not to say that wont change if we can make a go of Akd1.5 and actually sell it as they're threatening to)
I don't hold WBT and haven't followed their tech but seems they Managed to avoid the pitfall that constrains BRN investors at present.
(Not to say WBT won't retrace some but certainly looks to be out of the woods)
Congratulations WBT holders. 🍻
Im just waiting for the WBT hit piece on a Friday in AFR followed by massive shorts NVX style….
 
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manny100

Regular
BRN RECRUITING.png
 
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manny100

Regular
Recruiting a Technical Customer Support Director. Obviously means they are expecting revenue soon.
 
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Foxdog

Regular

View attachment 30888

Mercedes-Benz previews new MB.OS operating system​

Mercedes-Benz's new chip-to-cloud architecture is due to launch in 2024, first appearing in the third-generation CLA.

Greg Kable
Greg Kable
10:1423 February 2023
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Mercedes-Benz previews new MB.OS operating system
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Mercedes-Benz has provided the first details of its proprietary MB.OS operating system that is planned to be launched on new electric and petrol and diesel-engined models based on the German car maker's upcoming Mercedes Modular Architecture platform from late next year.
The new chip-to-cloud architecture will first appear on the new third-generation CLA, providing what Mercedes-Benz CEO, Ola Källenius, describes as “exceptional software capabilities”, including access to new embedded Google-based maps and services.
“We made the decision to be the architects of our own operating system. By combining this in-house expertise with a selection of partners, we will create an outstanding customer experience, from driving assistance, navigation and entertainment to integrated charging.

"MB.OS will feature full upgradeability and constant improvements,” said Källenius at the unveiling of the new system at Mercedes-Benz’s Silicon Valley-based R&D centre in Sunnyvale, California.
Mercedes-Benz previews new MB.OS operating system
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Mercedes-Benz CEO Ola Källenius
While Mercedes-Benz has conceived, designed and will produce the new architecture, its ability to integrate applications from third parties will allow customers to choose their own services, content and functions.
The partnership with Google will see Mercedes-Benz become the first car maker to develop its own branded navigation based on in-car data and navigation capabilities from the Google Maps Platform, says Källenius.

“This will give Mercedes-Benz access to Google’s real-time and predictive traffic information, automatic re-routing and more,” he says.
Additionally, Mercedes-Benz says the MB.OS will provide access to Place Details provided by Google. Included are details such as business hours, photos, ratings and reviews of over 200 million businesses and places worldwide
As well as partnering with Google, Mercedes-Benz confirms it is pursuing further collaborations with leading software and hardware companies in a move it says will ensure efficient development and rapid scaling of MB.OS.

Mercedes-Benz previews new MB.OS operating system
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Among the key development aims of the new operating system is improved smartphone mirroring and region-specific content, including music, video, gaming and office applications.
Offering full integration with electric drive systems, MB.OS is also claimed to provide more accurate range and energy usage predictions for electric models.
Mercedes-Benz also says MB.OS will play a crucial role in the planned rollout of new Level 2 autonomous driving functions tailored to urban driving, as well as a new Level 3 autonomous driving function capable of operating at speeds to 130km/h - both featuring new machine learning capabilities.

Among the partners for the new autonomous driving functions is NVIDIA, which Mercedes-Benz says provides its software, data and artificial intelligence expertise as well as its Orin system-on-chip hardware. It collaborates with Luminar for new light detection and LiDAR sensors.
A partnership with YouTube will allow drivers to view video content on the infotainment while using the Level 3 Drive Pilot autonomous driving system in countries where it is permitted.
Mercedes-Benz previews new MB.OS operating system
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The current-generation Mercedes-Benz CLA is due to be replaced in 2024
Further collaborations have been forged with Antstream for in-car gaming as well as Webex and Zoom for in-car video conferencing, says Mercedes-Benz.

The new MB.OS operating system will be able to share data across a network with 5G over-the-air (OTA) functionality, providing scope for software upgrades and new features from selected partners to be able to offered to customers.
Mercedes-Benz says it expects MB.OS to provide substantial annual revenue streams “in the high single digit billion Euro figure” by the end of the decade.

'Among the partners for the new autonomous driving functions is NVIDIA, which Mercedes-Benz says provides its software, data and artificial intelligence expertise'

I'm confused - are NVIDIA providing Merc with AI expertise or are BRN, or is it both? If it's both, as I suspect, then why doesn't AKIDA (BRN) ever get a direct mention in these releases?
 
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