BRN Discussion Ongoing

wilzy123

Founding Member
It's time for action not words in my opinion.
It's time because why? What are you actually basing this on?
 
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HopalongPetrovski

I'm Spartacus!
It will be interesting to see how many people stay on here when we truely get going.
I for one will be watching for the next 7 years, I can’t help think that BrainChip is headed for the big time.
It would be wonderful to see Peter and his team be on top of the world after all the years of hard work.
Won’t be long now!!
only a few more years to wait
And these quite days will be forgotten and the SP will bê rocketing
Banking that you’re right Buddy.
Some of us have already been waiting 7or 8 years you know.
Hoping for more than just a nice nursing home but the clocks ticking and I’m starting to doubt I’ll make it to my brand spanking new George Clooney clone. 🤣

Bring it, Brainchip 🤣
 
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Kachoo

Regular
I
Did you read my reply to your first post @caroorac? I'm interested in how you would describe all of partnerships and ecosystem building that occurred between this AGM and last. If you don't equate that activity to a result, then what else would you describe it as being?
I have a feeling he is a down tamper spreading doubt lol. Look at all his post each one was negatively geared got through dreadbot.
 
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Kachoo

Regular
I'd question their sanity if people are still on here as much as they are now when brn🤞 hit beast mode for a few years and most of us will have multi millions in worth of shares and hopefully some nice divvies with that.
Once things are rolling then yeah definately take some time off lol. Assess quarterly lol.

I think being a spec play we go to depth to validate our precived value when there is zero to go on.

Bashers are losing time here beast mode is comming.
 
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Tothemoon24

Regular

A neuromorphic visual sensor can recognise moving objects and predict their path​

Released: 17-Apr-2023 3:05 AM EDT
Source Newsroom: Aalto University
View Multimedia

Newswise — A new bio-inspired sensor can recognise moving objects in a single frame from a video and successfully predict where they will move to. This smart sensor, described in a Nature Communications paper, will be a valuable tool in a range of fields, including dynamic vision sensing, automatic inspection, industrial process control, robotic guidance, and autonomous driving technology.
Current motion detection systems need many components and complex algorithms doing frame-by-frame analyses, which makes them inefficient and energy-intensive. Inspired by the human visual system, researchers at Aalto University have developed a new neuromorphic vision technology that integrates sensing, memory, and processing in a single device that can detect motion and predict trajectories.
At the core of their technology is an array of photomemristors, electrical devices that produce electric current in response to light. The current doesn’t immediately stop when the light is switched off. Instead, it decays gradually, which means that photomemristors can effectively ‘remember’ whether they’ve been exposed to light recently. As a result, a sensor made from an array of photomemristors doesn’t just record instantaneous information about a scene, like a camera does, but also includes a dynamic memory of the preceding instants.
‘The unique property of our technology is its ability to integrate a series of optical images in one frame,’ explains Hongwei Tan, the research fellow who led the study. ‘The information of each image is embedded in the following images as hidden information. In other words, the final frame in a video also has information about all the previous frames. That lets us detect motion earlier in the video by analysing only the final frame with a simple artificial neural network. The result is a compact and efficient sensing unit.’
To demonstrate the technology, the researchers used videos showing the letters of a word one at a time. Because all the words ended with the letter ‘E’, the final frame of all the videos looked similar. Conventional vision sensors couldn’t tell whether the ‘E’ on the screen had appeared after the other letters in ‘APPLE’ or ‘GRAPE’. But the photomemristor array could use hidden information in the final frame to infer which letters had preceded it and predict what the word was with nearly 100% accuracy.
In another test, the team showed the sensor videos of a simulated person moving at three different speeds. Not only was the system able to recognize motion by analysing a single frame, but it also correctly predicted the next frames.
Accurately detecting motion and predicting where an object will be are vital for self-driving technology and intelligent transport. Autonomous vehicles need accurate predictions of how cars, bikes, pedestrians, and other objects will move in order to guide their decisions. By adding a machine learning system to the photomemristor array, the researchers showed that their integrated system can predict future motion based on in-sensor processing of an all-informative frame.
‘Motion recognition and prediction by our compact in-sensor memory and computing solution provides new opportunities in autonomous robotics and human-machine interactions,’ says Professor Sebastiaan van Dijken. ‘The in-frame information that we attain in our system using photomemristors avoids redundant data flows, enabling energy-efficient decision-making in real time.’
 
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HopalongPetrovski

I'm Spartacus!
I'd question their sanity if people are still on here as much as they are now when brn🤞 hit beast mode for a few years and most of us will have multi millions in worth of shares and hopefully some nice divvies with that.
I'm thinking it'll be kind of nice.
With everyone else you'll always be wondering if they just like you for your Brainchip billions.
Here at least you'll know you gristed the mill together and I envisage an annual get together in some interesting part of the world where we fly in PVDM or Sean baby or someone else to provide a sophisticated investors presentation so as the tax deductibility is taken care of. :ROFLMAO:
We can activity in the mornings, seminar in the odd arvo's and fine wine & dine the evenings away regaling each other with tales of the wrinkled table cloth and the horrors of the crapper, run T.shirt auctions and attend deal presentations by Merc and yacht dealers along with purveyors of exotic real estate.
Even afternoons we'll meet around the pool bar discussing recent sightings of Tech, FF, Diogenese and that elusive Bravo and race our arm candy round the casino.
That sorta stuff. 🤣
 
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BrainChip mention by Toshiba director

1682227161250.png


1682227198837.png


 
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Deadpool

hyper-efficient Ai
I'm thinking it'll be kind of nice.
With everyone else you'll always be wondering if they just like you for your Brainchip billions.
Here at least you'll know you gristed the mill together and I envisage an annual get together in some interesting part of the world where we fly in PVDM or Sean baby or someone else to provide a sophisticated investors presentation so as the tax deductibility is taken care of. :ROFLMAO:
We can activity in the mornings, seminar in the odd arvo's and fine wine & dine the evenings away regaling each other with tales of the wrinkled table cloth and the horrors of the crapper, run T.shirt auctions and attend deal presentations by Merc and yacht dealers along with purveyors of exotic real estate.
Even afternoons we'll meet around the pool bar discussing recent sightings of Tech, FF, Diogenese and that elusive Bravo and race our arm candy round the casino.
That sorta stuff. 🤣
richie rich GIF
 
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Diogenese

Top 20

A neuromorphic visual sensor can recognise moving objects and predict their path​

Released: 17-Apr-2023 3:05 AM EDT
Source Newsroom: Aalto University
View Multimedia

Newswise — A new bio-inspired sensor can recognise moving objects in a single frame from a video and successfully predict where they will move to. This smart sensor, described in a Nature Communications paper, will be a valuable tool in a range of fields, including dynamic vision sensing, automatic inspection, industrial process control, robotic guidance, and autonomous driving technology.
Current motion detection systems need many components and complex algorithms doing frame-by-frame analyses, which makes them inefficient and energy-intensive. Inspired by the human visual system, researchers at Aalto University have developed a new neuromorphic vision technology that integrates sensing, memory, and processing in a single device that can detect motion and predict trajectories.
At the core of their technology is an array of photomemristors, electrical devices that produce electric current in response to light. The current doesn’t immediately stop when the light is switched off. Instead, it decays gradually, which means that photomemristors can effectively ‘remember’ whether they’ve been exposed to light recently. As a result, a sensor made from an array of photomemristors doesn’t just record instantaneous information about a scene, like a camera does, but also includes a dynamic memory of the preceding instants.
‘The unique property of our technology is its ability to integrate a series of optical images in one frame,’ explains Hongwei Tan, the research fellow who led the study. ‘The information of each image is embedded in the following images as hidden information. In other words, the final frame in a video also has information about all the previous frames. That lets us detect motion earlier in the video by analysing only the final frame with a simple artificial neural network. The result is a compact and efficient sensing unit.’
To demonstrate the technology, the researchers used videos showing the letters of a word one at a time. Because all the words ended with the letter ‘E’, the final frame of all the videos looked similar. Conventional vision sensors couldn’t tell whether the ‘E’ on the screen had appeared after the other letters in ‘APPLE’ or ‘GRAPE’. But the photomemristor array could use hidden information in the final frame to infer which letters had preceded it and predict what the word was with nearly 100% accuracy.
In another test, the team showed the sensor videos of a simulated person moving at three different speeds. Not only was the system able to recognize motion by analysing a single frame, but it also correctly predicted the next frames.
Accurately detecting motion and predicting where an object will be are vital for self-driving technology and intelligent transport. Autonomous vehicles need accurate predictions of how cars, bikes, pedestrians, and other objects will move in order to guide their decisions. By adding a machine learning system to the photomemristor array, the researchers showed that their integrated system can predict future motion based on in-sensor processing of an all-informative frame.
‘Motion recognition and prediction by our compact in-sensor memory and computing solution provides new opportunities in autonomous robotics and human-machine interactions,’ says Professor Sebastiaan van Dijken. ‘The in-frame information that we attain in our system using photomemristors avoids redundant data flows, enabling energy-efficient decision-making in real time.’

This is the most recently published patent application filed by the Prof:

WO2017178704A1 MAGNONIC ELEMENT AND RELATED METHOD

1682227920424.png


The invention relates to a magnonic element and a method of redirecting spin waves (301, 302, 303). The element comprises a magnonic layer (35) capable of conveying spin waves (301, 302, 303). In addition, there is provided at least one input port (37) for coupling spin waves (301, 302, 303) to the magnonic layer (35), and at least one output port (38) for coupling spin waves (301, 302, 303) out of the magnonic layer (35). According to the invention, there is provided at least one magnetic anisotropy boundary (36AB, 36BC) in the magnonic layer for redirecting spin waves (301, 302, 303) propagating within the magnonic layer (35) between the at least one input port (37) and the at least one output port (38). The invention allows for providing new kinds of magnonic devices.
...
One additional advantage of the present invention is that it allows the spin waves to propagate in Damon-Eshbach mode, i.e., perpendicular to magnetization of the magnonic layer. This is of significance because the propagation speeds in Damon-Eshbach mode are superior to those of backward- volume spin wave modes. Also, in general, spin waves can propagate over much larger distances in Damon-Eshbach mode compared to backward- volume spin wave mode. By controlling local magnetization of the magnonic layer, the propagation direction can be controlled.

The present invention allows for the use of several magnetic anisotropy boundaries for causing the spin waves to be redirected not only once but several times on their way between the input and output ports.

Structures are also presented herein that are capable of conveying several parallel spin waves in a single uniform magnonic layer. In addition, a controlled alteration of the properties of the magnonic layer, notably the location of the at least one anisotropy boundary with respect to the input and output ports is described for providing controllable routing of the waves between the port
s.

PS: I put this into Google translate, but it was unable to identify the original language.

The only reasons this might be relevant are that it's the right inventor, the right university, and it shows decaying signals in the drawing.
 
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rgupta

Regular
Banking that you’re right Buddy.
Some of us have already been waiting 7or 8 years you know.
Hoping for more than just a nice nursing home but the clocks ticking and I’m starting to doubt I’ll make it to my brand spanking new George Clooney clone. 🤣

Bring it, Brainchip 🤣
I am a holder for more than three years and the company had progressed from a concept to actual technology. Even we have great partnerships with arm, Intel and others.
Renasas and megachips are paying customers and we moved to second gen from gen 1.
So yes progress is happening but revenue is not coming. Reason for the same is because we want to sell the technology and not product. A product cycle is much faster but finishes fast while a technology cycle takes time in adaptation but if got adopted then the benefits will long last for a few decades.
You may have reasons to be upset but things take their own time to materialized.
Dyor
 
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Tothemoon24

Regular
Wow!

Don't forget that Sean mentioned on Tuesday the fourth use case which BrainChip is seeing a lot of activity and interest, which is in communication - video conferencing and the like.

In addition, we've already worked with Cisco (and NASA and Amason and Lockheed Martin) IN OUTER SPACE in a collaboration that resulted in a new technology, christened, “Callisto" which also incorporated Cisco’s Webex communications.

See the article below for more on Mercedes-Benz E-Class and Cisco's Webex video conference tools.

View attachment 34812


In-car conference calls coming to 2024 Mercedes-Benz E-class sedans​

Coming later this year with native app store that includes Zoom, TikTok, Zync, and more​

By Daniel Sims February 27, 2023 at 6:36 PM
In-car conference calls coming to 2024 Mercedes-Benz E-class sedans

TechSpot is about to celebrate its 25th anniversary. TechSpot means tech analysis and advice you can trust.
Forward-looking: Mercedes-Benz recently published a detailed rundown of the features of its 2024 E-Class sedan, coming later this year. Among them is a native app store that will launch with a few entertainment and communication apps, including Cisco's Webex video conference tool.
Cisco and Mercedes-Benz have announced that the Webex video conference app will be available in the 2024 Mercedes-Benz E-Class sedan when it rolls out later in 2023. The vehicle will allow conference calls using its interior camera, Wi-Fi, and 5G capabilities. The camera can also record videos and take selfies.
In-car hybrid work software could be an effort to facilitate employees' return to the office after two years of pandemic-necessitated working from home. Hour-plus-long commutes are a significant issue in the office-versus-home work debate because many see them as a colossal waste of time and gas.
Cisco doesn't mention that conflict but acknowledges that hybrid work is here to stay. The company says Webex could help people keep in touch with coworkers while picking up their kids (childcare is another significant obstacle facing the return to offices) or taking business trips.
2023-02-27-image-23.jpg

Fortunately, for safety reasons, the car will switch calls from any app to audio-only when moving to prevent driver distraction. Using the car's video-conferencing software while parked could be helpful when users can't access a phone, tablet, or laptop.

Instead of piggybacking off mobile devices like Apple Car Play or Android Auto, The 2024 E-Class will have a native operating system and third-party apps. Aside from Webex, the app store will include TikTok, AngryBirds, the Vivaldi web browser, and Zoom at launch. Zoom already allows video conferencing in Teslas and one-on-one calls through Car Play.

The Webex in-car app will include noise canceling and auto transcription to make voices sharper and easier to understand. It will also feature content sharing, emojis, and other reactions.

The upcoming Mercedes-Benz will offer in-car entertainment streaming through the Zync entertainment platform. Zync's interface will incorporate options like local programs, sports, news, and content from 30 streaming services. Mercedes-Benz doesn't specify which services Zync includes, but it says it will work with various regional partners to expand the number of available channels.


Zoom seems to connect well with some of Sean’s recent comments.



Zoom Teases Future AI-Powered Products​

Zoom to Focus on Future AI Products


Zoom has recently hinted it will focus on more AI products in the wake of the buzz across the internet for the new tech.
The announcement comes in the run-up to the software firm’s quarterly report, due this week.
For Zoom customers who don’t want to record the meeting but want to share the summary, the firm intends to provide anoption to create a summary and everyone’s next steps at the start of the session.
The video telephony software firm will also make intelligent records more potent in the future to automate repetitive tasksand follow-ups. Users can create more space for productive work, such as developing new products or offering improved customer support.
Zoom IQ for Sales Training Powered by AI
As well as these innovations, Zoom is currently at the research stage with a training environment for Zoom IQ for Sales using AI-power. The tools will provide sales reps with a practice environment for sales teams to prepare for customercalls, simulate various sales situations, improve sales pitches, gather feedback, and provide real-time content. An additional feature of Zoom IQ’s will be to make sales meetings run more smoothly by tracking agendas and sharing notes.
Zoom is also looking into extending real-time translation to additional Zoom platform products, including chat.
Zoom Has Its AI In
As many Zoom users will know, AI is already incorporated into many elements of Zoom Meetings. Vijay Parthasarathy, Head of AI/ML, Zoom, confirmed: “AI-powered features such as virtual backgrounds, avatars, gesture recognition, and background noise suppression — make meetings more engaging and inclusive. Zoom Virtual Agent with Contact Center and our conversation intelligence solution Zoom IQ for Sales use AI as a foundation to help customer-facing teams deliver great customer experiences.”

Parthasarathy looked to alleviate fears in the groundbreaking technology, stating: “As we continue to invest in AI, Zoom remains committed to ethical, and responsible AI development; our AI approach puts user security and trust at the centre of what we do, and we will continue to build products that help ensure equity, privacy, and reliability.”
The AI chief’s comments come in a climate where meetings are becoming ever-more crucial and valuable as a data resource, with a predicted 75% of work conversations being recorded by 2025. Zoom Meetings already facilitates ‘smart recording’, a functionality included in Zoom Business, Education, and Enterprise accounts (though not available for K-12 Education accounts).
Using AI to Create Action Points and Meeting Chapters
The Smart Chapters model uses AI to divide recordings into sections, while other NLP models help hosts and usersnavigate meetings quickly and easily by identifying action points and discussions on various topics.
Utilising GPT3 to extend Zoom’s ML to understand the context of a meeting, the model divides the session into manageable sections (or smart chapters) and automatically generates chapter summaries. Once the outline is created, userscan add more or following steps to it before sharing it with a team.
Parthasarathy continued: “Empowering people to focus on what matters is at the core of why we are unlocking the value of AI throughout our platform. To that end, we want to introduce you to a new experience with our meetings summary technology, making meetings more digestible, actionable, and efficient.”
 
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HopalongPetrovski

I'm Spartacus!
I am a holder for more than three years and the company had progressed from a concept to actual technology. Even we have great partnerships with arm, Intel and others.
Renasas and megachips are paying customers and we moved to second gen from gen 1.
So yes progress is happening but revenue is not coming. Reason for the same is because we want to sell the technology and not product. A product cycle is much faster but finishes fast while a technology cycle takes time in adaptation but if got adopted then the benefits will long last for a few decades.
You may have reasons to be upset but things take their own time to materialized.
Dyor
I'm not upset. 🤣

I think the Company is financially stronger,
more professionally managed,
more sustainably positioned with both known and unknown commercial and educative partnerships,
and is pushing forward within a growing eco system of collaborative and complimentary allies.

We are also following a well thought out plan with a proven track record of success,
have capable and clever people executing said plan,
and oversight by an experienced, seasoned and hungry management team
who are aboard Brainchip looking for the ride of their life.

Peter and Anil whose minds and initiative seeded the Company are still with us, positioned now, just where they deserve to be, out on the cutting edge where thought is transmogrified into prototype, supported by a braintrust of distinguished thinkers who border on genius level contemplation.

And personally I have never owned as many share's as I currently do, having been accumulating since October 2015 with buy-in prices ranging from under 4 cents to 86 and a half.

Like I said, I'm not upset. 🤣

I too see relevant and promising progress and I understand that things take time to materialise,
I just wish it would hurry the F up. 🤣
 
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Mercfan

Member
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Slymeat

Move on, nothing to see.
I'd question their sanity if people are still on here as much as they are now when brn🤞 hit beast mode for a few years and most of us will have multi millions in worth of shares and hopefully some nice divvies with that.
I saw a VERY relevant quote the other day. I use this logic to happily ignore down-rappers.

“A multi-baggers journey is filled with the corpses of highly intelligent-articulate naysayers.” Ian Cassel
 
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HopalongPetrovski

I'm Spartacus!
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Bravo

If ARM was an arm, BRN would be its biceps💪!
and you sound like a baby. Why does a different opinion threaten you so much. As hard as it is to believe, people are allowed to have a different opinion to you.

Sorry @caroorac, but you sound like the baby because you have not once bothered answering one question I've directed politely to you. Maybe you're the baby?

cry-baby (1).gif
 
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SERA2g

Founding Member
If I have to explain this to you, then we are clearly on a different page. No point wasting my breath.
You’ve come out of no where, spread negativity but won’t provide responses to questions?
Happy for you to be bearish but please parlay. Don’t just throw mud and walk away.
 
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D

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