Bennysmadness
Regular
You seem so confident in failure and have plenty of incorrect statements. Mercedes not a tier 1? I could go on but you just need to sell out
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
And you need to read all current posts before reacting - with respect, this has been addressed. Cheers mate
As the quiet guy in the corner who checks in here every few days to see what everyone is saying, I'm actually quite surprised by a lot of the "we want it all and we want it now" about the company, the revenue, the share price, etc. I've been slowly building my holding for 3 years and 3 days up until now. Of course I knew I should sell last Jan when the shares went whako schmako to over 2 bucks, but I also knew in my guts that I'm in for the long hall. I knew at that time that it could have been revealed that, for example, Samsung were incorporating Akida into all their fridges or whatever, or that the share price would come crashing down from NASA to Earth back to a penny stock. I'm surprised at how patient I've become in my half a century in this life. Two bucks was cool but I reckon there may be a lot more than that to come, and I'm prepared to wait. I have 5% of my total net worth invested in this stock. If it works out, things could get a bit easier for me. If not, it ain't gonna end me, I've calculated my risk vs reward. I also like to think back to olden days. Like how NVIDIA were at $6 after their IPO, then crashed back to 60c. How much are they now again, a trillion bucks or something? And things are happening a lot faster in this world of ours now guys. BRN might just turn out to be a 3000% in a day stock, and that's why I'm all in in. All or nothing maybe 
Thanks to all you guys' positive and negative input here about our little unicorn. It keeps my scales balanced, and I've taken my position. Cheers!
Thanks to all you guys' positive and negative input here about our little unicorn. It keeps my scales balanced, and I've taken my position. Cheers!
Learning
Learning to the Top 🕵♂️
As I was about to post some Patents to ask our residents Patents officer @DiogeneseFoxy....Some may be surprised but I agree with some of your comments, but "a concept that's not commercially viable" is a bit harsh,
what's pissing you off like a lot of shareholders is the pace at which this whole SNN concept is unfolding, and I totally get it, yesterday I had
to sell 9,970 shares @ 0.275 to pay a couple of small bills, my heart was bleeding, I am like many shareholders, I never thought that we
would see our share price so low, but the value of Peters et al Patents WILL PROVE TO BE THE BACKBONE OF THIS COMPANY, has the
company already been approached, my opinion is, yes they have, but we aren't for sale.
I have been working overtime on the Patents Worldwide, I see Korea has published the "Improved Spiking Neural Network" with 2 others,
they haven't been examined yet, with the next update in May 2024...in the latest podcast with Sean he mentioned that Brainchip was receiving
great interest from the Hearing Aids sector, so I immediately started looking through Patents linked to Cochlear.
May I ask that all posters start pumping through the Patent Offices Worldwide searching for any sectors that you believe we may be involved
in, as Patents linked to major tier 1 companies who may be incorporating our IP will be securing their invention for sure, 100%.
Checking Patents isn't a one-off job, keep doing it monthly, you will be surprised what you pick up.
Have a nice evening back in Australia....Tech
Sony recently has some Patents published;
"Returning back to Fig. 1, the image processing device 100 further comprises processing circuitry 120. The processing circuitry 120 is coupled to the interface circuitry 110. The processing circuitry 120 is configured to receive and process the first image data 101. For example, the processing circuitry 120 may be a single dedicated processor, a single shared processor, or a plurality of individual processors, some of which or all of which may be shared, a digital signal processor (DSP) hardware, an application specific integrated circuit (ASIC), a neuromorphic processor or a field programmable gate array (FPGA). The processing circuitry 120 may optionally be coupled to, e.g., read only memory (ROM) for storing software, random access memory (RAM) and/or non-volatile memory. Optionally, the image processing device 100 may comprise further circuitry."
Espacenet – search results
Espacenet: free access to millions of patent documents. Find out if your invention is unique or if other inventors have filed patent applications that are considered to be prior art.
WO2023117473A1 - Apparatus and method for object detection/recognition - Google Patents
The present disclosure relates to an apparatus for event detection. The apparatus comprises an optical neural network (ONN) comprising a plurality of structured optically transmissive and/or reflective substrate layers arranged in an optical path, wherein the plurality of substrate layers...
patents.google.com
EP4215109A1 - Apparatus and computer-implemented method for providing information about a user's brain resources, non-transitory machine-readable medium and program - Google Patents
An apparatus for providing information about a user's brain resources is provided. The apparatus includes at least sensor interface circuitry and processing circuitry coupled to the sensor interface circuitry. In a calibration mode, the sensor interface circuitry is configured to receive first...
patents.google.com
Any of these Patents relevant to Brainchip?
Learning
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HappyChippy
Member
This would not be very far fetched to assume. Can the 1000 eyes look into a company called headspace.
Have included a few links, that really piqued my interest.
I got onto this, because a school friend (not close with now) of mine who went to Carnegie Mellon to study bio medical engineering is currently working in the ai/machine learning space with headspace. So I went down the headspace rabbit hole.
Like how they mention they have iOS apps and rely on sensors which claim need “real time
Attachments
HappyChippy
Member
Not sure what happened there…important parts of my typed texts have got deleted. Be sure to check the links.
analyticsindiamag.com
edgeimpulse.com
AI For Meditation: How Headspace Leverages AI and ML Technologies | AIM
California-based Headspace offers personalised and real-time suggestions to guided meditation, mindfulness, sleep and focus to its users across the globe.
analyticsindiamag.com
AWS
AWS provides cloud computing services, including computing power, storage, and databases, as well as analytics, machine learning, and other tools, to enable businesses to operate and innovate more efficiently and cost-effectively.
edgeimpulse.com
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BrainChip Inc Patent in KoreaFoxy....Some may be surprised but I agree with some of your comments, but "a concept that's not commercially viable" is a bit harsh,
what's pissing you off like a lot of shareholders is the pace at which this whole SNN concept is unfolding, and I totally get it, yesterday I had
to sell 9,970 shares @ 0.275 to pay a couple of small bills, my heart was bleeding, I am like many shareholders, I never thought that we
would see our share price so low, but the value of Peters et al Patents WILL PROVE TO BE THE BACKBONE OF THIS COMPANY, has the
company already been approached, my opinion is, yes they have, but we aren't for sale.
I have been working overtime on the Patents Worldwide, I see Korea has published the "Improved Spiking Neural Network" with 2 others,
they haven't been examined yet, with the next update in May 2024...in the latest podcast with Sean he mentioned that Brainchip was receiving
great interest from the Hearing Aids sector, so I immediately started looking through Patents linked to Cochlear.
May I ask that all posters start pumping through the Patent Offices Worldwide searching for any sectors that you believe we may be involved
in, as Patents linked to major tier 1 companies who may be incorporating our IP will be securing their invention for sure, 100%.
Checking Patents isn't a one-off job, keep doing it monthly, you will be surprised what you pick up.
Have a nice evening back in Australia....Tech
Attachments
Last edited:
HappyChippy
Member
Anker Innovations to showcase latest advancements at Gitex Global 2022
Among its latest flagship products, Anker will exhibit eufy Security’s new Edge Security System at Gitex this year
It’s a camera I’ve been using for sometime on my worksites, always wondered what AI they use. The cameras work on low power, and use the hub to communicate and store data.
Arm A55 cpu equipped and does face detection with self learning capabilities and 99% accuracy. Data is stored locally, and safely(encrypted) to protect privacy.
Timelines of bionicmind TM release lines up well. Cannot find much else about it.
Worth looking into a bit further imo.
Attachments
HappyChippy
Member
This brand does door bells too, and very interesting is the 1 TOPS NPU.Anker Innovations to showcase latest advancements at Gitex Global 2022
Among its latest flagship products, Anker will exhibit eufy Security’s new Edge Security System at Gitex this yearwww.zawya.com
It’s a camera I’ve been using for sometime on my worksites, always wondered what AI they use. The cameras work on low power, and use the hub to communicate and store data.
Arm A55 cpu equipped and does face detection with self learning capabilities and 99% accuracy. Data is stored locally, and safely(encrypted) to protect privacy.
Timelines of bionicmind TM release lines up well. Cannot find much else about it.
Worth looking into a bit further imo.
My spidey sense is tingling.
Bring it on shorters!
I have no doubt in my mind this has Brainchip Akida S.
I’d like someone to prove me wrong.
Not financial advice.
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HappyChippy
Member
CrabmansFriend
Regular
I hadn't seen that one before, but I like when he talks about energy consumption of a potential 7nm implementation @9:47.
I assume 7nm implementation has nothing to with MCUs but more with (mobile) high-performance chips.
HappyChippy
Member
iPhone 15 USES akida and so does the new Apple Watch, and AirPods Pro.
Apple revenue is what Sean has been referring to cryptically.
Mark my words.
Will go out on a limb to say iPhone 16 will have akida 2.0 P in it.
Monday 18/09/23 is the date we’ve been waiting for!!! I feel it.
Time to shift gears and SEND ITTTTTT !!!
Go Brainchip!!!!
Not financial advice.
Apple revenue is what Sean has been referring to cryptically.
Mark my words.
Will go out on a limb to say iPhone 16 will have akida 2.0 P in it.
Monday 18/09/23 is the date we’ve been waiting for!!! I feel it.
Time to shift gears and SEND ITTTTTT !!!
Go Brainchip!!!!
Not financial advice.
Apple debuts iPhone 15 and iPhone 15 Plus
Apple today announced iPhone 15 and iPhone 15 Plus, featuring an industry-first colour-infused back glass with a stunning, textured matte finish.
www.apple.com
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wilzy123
Founding Member
My god, you continue to lay your naivety out for all to see, and I thank you for it. Please continue.
I genuinely feel sorry for anyone that that provided an emoji response to your post. Only those that did will be privy to you, but i'd be lol'ing at them if I were you.
jtardif999
Regular
You are completely wrong imo, BrainChips patents are everything, so important to our future worth and not only from the point of defending but as an attraction in takeover. It seems to me that you don’t really get how unique BrainChips technology is and how important it could likely become. Let’s for a moment think of the time when inevitably the limits and sustainability of current AI solutions is exhausted. It will happened, it can’t go on the present path that Nvidia are squeezing out atm. The time will come when BRNs tech is suddenly the tech of choice (they are setting themselves up for it) and then we will get very big very quickly or, someone will want control of our patents so badly they will be willing to pay an incredible premium for them. AIMO.
Schnitzel lover
Regular
Maximum
i have the current version. It requires internet connectivity, power inefficient, doesn’t have specific facial recognition & requires fairly regular recharging, 1-2 x monthly.
If the Internet cuts out it has to be reset and takes ages fluffing around re-setting it it.
I’ve been banging on to my wife about how good it would be if it had Akida inside, so in my view the newest versions would be screaming out for the efficiency benefits of Akida.
Whilst on that topic, the Dee-bot vacuums are in the same boat- rely on internet connection, constant resetting. Another strong use case for Akida..
Frangipani
Top 20
Here is another article about Naveen Kumar’s traffic monitoring project, published on Wevolver today - they really seem to love Akida!
Real-Time Traffic Monitoring with Neuromorphic Computing
Article #5 of Spotlight on Innovations in Edge Computing and Machine Learning: A computer vision project that monitors vehicle traffic in real-time using video inferencing performed on the Brainchip Akida Development Kit.
www.wevolver.com
Real-Time Traffic Monitoring with Neuromorphic Computing
David Tischler
14 Sep, 2023
FOLLOW
Article #5 of Spotlight on Innovations in Edge Computing and Machine Learning: A computer vision project that monitors vehicle traffic in real-time using video inferencing performed on the Brainchip Akida Development Kit.
Artificial Intelligence- Edge Processors
- Embedded Machine Learning
- Neural Network
- Transportation
This article is part of Spotlight on Innovations in Edge Computing and Machine Learning. The series features some unique projects from around the world that leverage edge computing and machine learning, showcasing the ways these technological advancements are driving growth, efficiency, and innovation across various domains.
This series is made possible through the sponsorship of Edge Impulse, a leader in providing the platform for building smarter, connected solutions with edge computing and machine learning.
In the ever-evolving landscape of urban planning and development, the significance of efficient real-time traffic monitoring cannot be overstated. Traditional systems, while functional, often fall short when high-performance data processing is required in a low-power budget. Enter neuromorphic computing—a technology inspired by the neural structure of the brain, aiming to combine efficiency with computational power. This article delves into an interesting computer vision project that monitors vehicle traffic using this paradigm.
Utilizing aerial camera feeds, the project can detect moving vehicles with exceptional precision, making it a game-changer for city planners and governments aiming to optimize urban mobility. The key lies in the advanced neuromorphic processor that serves as the project's backbone. This processor is not just about low power consumption—it also boasts high-speed inference capabilities, making it ideal for real-time video inferencing tasks.
But the journey doesn't end at hardware selection. This article covers the full spectrum of the project, from setting up the optimal development environment and data collection methods to model training and deployment strategies. It offers a deep dive into how neuromorphic computing can be applied in real-world scenarios, shedding light on the processes of data acquisition, labeling, model training, and final deployment. As we navigate through the complexities of urban challenges, such insights pave the way for smarter, more efficient solutions in traffic monitoring and beyond.
Traffic Monitoring using the Brainchip Akida Neuromorphic Processor
Created By: Naveen KumarPublic Project Link: https://studio.edgeimpulse.com/public/222419/latest
Overview
A highly efficient computer-vision system that can detect moving vehicles with great accuracy and relative motion, all while consuming minimal power.By capturing moving vehicle images, aerial cameras can provide information about traffic conditions, which is beneficial for governments and planners to manage traffic and enhance urban mobility. Detecting moving vehicles with low-powered devices is still a challenging task. We are going to tackle this problem using a Brainchip Akida neural network accelerator.
Hardware Selection
In this project, we'll utilize BrainChip’s Akida Development Kit. BrainChip's neuromorphic processor IP uses event-based technology for increased energy efficiency. It allows incremental learning and high-speed inference for various applications, including convolutional neural networks, with exceptional performance and low power consumption.The kit consists of an Akida PCie board, a Raspberry Pi Compute Module 4 with Wi-Fi and 8 GB RAM, and a Raspberry Pi Compute Module 4 I/O Board. The disassembled kit is shown below.
Setting up the Development Environment
(…)
Conclusion
This project highlights the impressive abilities of the Akida PCIe board. Boasting low power consumption, it could be used as a highly effective device for real-time object detection in various industries for numerous use cases.This article is based on: Traffic Monitoring using the Brainchip Akida Neuromorphic Processor - Expert Projects, a blog by Edge Impulse. It has been edited by the Wevolver team and Electrical Engineer Ravi Y Rao. It's the third article from the Spotlight on Innovations in Edge Computing and Machine Learning Series.
The first article introduced the series and explored the implementation of Predictive Maintenance system using a Nordic Thingy:91.
The second article described the implementation of voice control for making appliances smarter using a Nordic Thingy:53.
The third article dives deep into the application of EdgeAI for surface crack detection, showcasing its transformative role in modern industrial predictive maintenance systems.
The fourth article explains the integration of neuromorphic computing for real-time traffic monitoring, offering a technical blueprint for revolutionizing urban management.
About the sponsor: Edge Impulse
Edge Impulse is the leading development platform for embedded machine learning, used by over 1,000 enterprises across 200,000 ML projects worldwide. We are on a mission to enable the ultimate development experience for machine learning on embedded devices for sensors, audio, and computer vision, at scale.From getting started in under five minutes to MLOps in production, we enable highly optimized ML deployable to a wide range of hardware from MCUs to CPUs, to custom AI accelerators. With Edge Impulse, developers, engineers, and domain experts solve real problems using machine learning in embedded solutions, speeding up development time from years to weeks. We specialize in industrial and professional applications including predictive maintenance, anomaly detection, human health, wearables, and more.
More by David Tischler
FOLLOWDavid is a Senior Developer Program Manager helping to take care of the Edge Impulse community of developers, and is a fan of computing on small, low power devices. He's also an extreme recycler, so use caution if trying to throw away recyclable objects if he's around.
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