BRN Discussion Ongoing

[Dang Son]

$1

 

[Fact Finder]

"Your fear about the next month is fake and you are completely wrong"

We will see

I will take a leaf out of your Shareman book:

I asked a question and I am waiting for your answer.

I suspect that you like Shareman will go on about your merry way.

But I make you this promise I will no longer allow your foul mouth and aggression to go unchallenged.

FF

 

[Xray1]

Good evening, all

Why do I think that the company is extremely quiet at present?

Some of my emails are going unanswered, which is slightly unusual, but my ego can handle that

But this is a direct quote from today, no names mentioned, and some may think it means stuff all, but I'd strongly disagree.

"Next-Gen Akida is the priority, and everyone is really busy with it"

The company is advancing while I post this, we as a company operate 24 hours a day basically around the globe.

"Money never sleeps" thanks Gekko Nor do our Founders, Peter and Anil.

Love Brainchip xxx

I think the extremely quite situation as you have mentioned in your last post is due to the fact that there are imo some quite significant contractual finalisations of terms and conditions with the various legal departments of a number of big fish, NDA's and EPA customers taking place behind the scene especially given the fact that the Exclusive Lic' Agt with Simon Thorpe that has now ended up as a Patent / Patent Application purchase by BRN. IMO, this has now without question resolved the issue of any possible legal challanges concerning same about our outright legal ownership of the BRN IP. Now that this legal issue has been resolved I beleive that "ALL" parties can now move forward and result in the lifting of the cone of silence with a number of contracts now being announced.

 

[uiux]

I will take a leaf out of your Shareman book:

I asked a question and I am waiting for your answer.

I suspect that you like Shareman will go on about your merry way.

But I make you this promise I will no longer allow your foul mouth and aggression to go unchallenged.

FF

I've said my piece.

 

[Straw]

I have no solid expectation for the next 4C except for the possibility of there being some positive lumpiness and if not I'll take it as being a less lumpy quarter. I'd hate to see shorters benefit from anyone's expectations.

As for QE that is sad as she seemed like a committed and reasonable person with a lot of expectation on them to at least project stability/community which is a big ask for any human being and sorely needed these days (any personal reservations about the concept of Monarchy withstanding).

 

[Bravo]

Howdy Team,

I was just reading this summary of a report about Automotive Human Machine Interface Opportunities. The report offers an overview of HMI and it states the following

"'Consumer interaction with in-vehicle infotainment systems started with a mere hard button and rotary dial system interface but now includes advanced features such as touch screen, voice recognition, and even gesture control. This study offers an overview of in-vehicle HMI features, such as driver display and cockpit display screens, mapping, media integration, and smartphone connectivity, among the top 5 OEMs in the premium and mass market sectors in addition to model availability and infotainment pricing."

It also highlights the following OEM's who are working on HMI features and strategies. Now we know for sure that BrainChip and Mercedes are working together and IMO we won't have to wait too much longer before we can confirm (beyond merely speculating) many others on the listwho are doing the same thing. IMO obviously.

• Audi
• BMW
• Chevrolet
• Ford
• Honda
• Lexus
• Nissan
• Mercedes-Benz
• Tesla
• Toyota

North American Automotive Human-Machine Interface (HMI) Growth Opportunities: Voice Support Creates New Experiences with In-vehicle Driver Companions

Dublin, Sept. 01, 2022 (GLOBE NEWSWIRE) -- The "North American Automotive Human-Machine Interface (HMI) Growth Opportunities" report has been added to ResearchAndMarkets.com's offering. Consumer interaction with in-vehicle infotainment systems started with a mere hard button and rotary dial...

uk.finance.yahoo.com

 

[Lex555]

I've said my piece.

I've said my piece.

FF just caught you

 

[miaeffect]

Can we take the royal discussion somewhere else I seriously could not give a fuck about the monarchy and I dont want to read about it in this thread

I agree with uiux. Don't want to read about the monarchy.

So I just scroll down.

 

[Fact Finder]

I agree with uiux. Don't want to read about the monarchy.

So I just scroll down.

And you managed to say that politely without aggression and foul language.

FF

AKIDA BALLISTA

 

[Bravo]

Howdy Team,

I was just reading this summary of a report about Automotive Human Machine Interface Opportunities. The report offers an overview of HMI and it states the following

"'Consumer interaction with in-vehicle infotainment systems started with a mere hard button and rotary dial system interface but now includes advanced features such as touch screen, voice recognition, and even gesture control. This study offers an overview of in-vehicle HMI features, such as driver display and cockpit display screens, mapping, media integration, and smartphone connectivity, among the top 5 OEMs in the premium and mass market sectors in addition to model availability and infotainment pricing."

It also highlights the following OEM's who are working on HMI features and strategies. Now we know for sure that BrainChip and Mercedes are working together and IMO we won't have to wait too much longer before we can confirm (beyond merely speculating) many others on the listwho are doing the same thing. IMO obviously.

• Audi
• BMW
• Chevrolet
• Ford
• Honda
• Lexus
• Nissan
• Mercedes-Benz
• Tesla
• Toyota

North American Automotive Human-Machine Interface (HMI) Growth Opportunities: Voice Support Creates New Experiences with In-vehicle Driver Companions

Dublin, Sept. 01, 2022 (GLOBE NEWSWIRE) -- The "North American Automotive Human-Machine Interface (HMI) Growth Opportunities" report has been added to ResearchAndMarkets.com's offering. Consumer interaction with in-vehicle infotainment systems started with a mere hard button and rotary dial...

uk.finance.yahoo.com

Guess who else likes Human Machine Interface features...LG Electronics.

Why Mercedes-Benz joined hands with LG... 'A true customer experience expert'

There is a lot of attention on why Mercedes-Benz, a leading luxury car manufacturer, is joining hands with LG's electronics division. Analysis suggests that their accumulated customer experience data

english.etnews.com

 

[robsmark]

Stop bickering everyone, you’re upsetting the SP.

 

[Deadpool]

That reminds me ,I haven't taken my medication this morning, think some on here may have forgotten as well.

GstK

 

[Learning]

It's great to be a shareholder.

 

[Learning]

On another happy front,

Just able to converts 20% of mrs Learning super into BRN.
That's right shorter, it's lock away until her retirement. Oh wait how long is that? Mrs Learning is not due to retirement for another 30+ years.

Or unless BRN is $50 in ten years, then we all can have very early retirement. 🏖🏖🏖

It's great to be a shareholder.

 

[Vanman1100]

We’ve had Greek and now foul language.
What a week.

 

[Learning]

This is intresting:

Intel & Mercedes!

"While this may sound futuristic, Intel’s neuromorphic computing research is already fostering interesting use cases, including how to add new voice interaction commands to Mercedes-Benz vehicles; create a robotic hand that delivers medications to patients; or develop chips that recognize hazardous chemicals."

Is Intel Labs’ brain-inspired AI approach the future of robot learning?

Intel Labs’ new neuromorphic computing approach is aimed primarily at future applications such as robotic assistants.

venturebeat.com

It's great to be a shareholder.

 

[uiux]

This is intresting:

Intel & Mercedes!

"While this may sound futuristic, Intel’s neuromorphic computing research is already fostering interesting use cases, including how to add new voice interaction commands to Mercedes-Benz vehicles; create a robotic hand that delivers medications to patients; or develop chips that recognize hazardous chemicals."

Is Intel Labs’ brain-inspired AI approach the future of robot learning?

Intel Labs’ new neuromorphic computing approach is aimed primarily at future applications such as robotic assistants.

venturebeat.com

It's great to be a shareholder.

It's based on a story from 2020


Mercedes has since switched from Intel to BrainChip


The article is entirely misleading

 

[Fact Finder]

Guess who else likes Human Machine Interface features...LG Electronics.




View attachment 16182

Why Mercedes-Benz joined hands with LG... 'A true customer experience expert'

There is a lot of attention on why Mercedes-Benz, a leading luxury car manufacturer, is joining hands with LG's electronics division. Analysis suggests that their accumulated customer experience data

english.etnews.com

Just as I ask the 1 percent question I feel it is appropriate to conclude that as Mercedes Benz claimed that AKIDA offered a five to ten times performance improvement over anything else this must have included anything that LG could suggest or introduce.

That being the case what would the logical argument be that LG could mount for not exploring the use of AKIDA technology in this way.

I am reminded in saying this that @TECH has going back to HC days suggested LG as a company to watch.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Bravo]

Interesting

Fraunhofer's YourSound tech simplifies the setting of car stereos

While high-end car audio systems do allow users to tweak the various sound frequencies to their liking, the average non-audiophile may get lost in the process. The YourSound system is designed to make things easier, by guiding users via sound samples.

newatlas.com

 

[Fullmoonfever]

Research Reports - Army Technology

www.army-technology.com

Concept: California’s tech company BrainChip and French tech startup Prophesse have partnered to launch next-gen platforms for original equipment manufacturers (OEMs) looking to integrate event-based vision systems with high levels of AI performance. The partnership combines Prophesee’s computer vision technology with BrainChip’s neuromorphic processor Akida to deliver a complete high-performance and ultra-low-power solution.

Nature of Disruption:Prophesee’s computer vision technology leverages patented sensor design and AI algorithms. It mimics the eye and brain to reveal what was invisible until now using standard frame-based technology. The new computer vision technology has applications in autonomous vehicles, industrial automation, IoT, security and surveillance, and AR or VR. BrainChip’s Akida mimics the human brain to analyze only essential sensor inputs at the point of acquisition. It can process data with improved efficiency and precision. Also, it keeps AI or ML local to the chip, independent of the cloud to reduce the latency. The combination of both technologies can help advance AI enablement and offer manufacturers a ready-to-implement solution. Additionally, it helps OEMs looking to leverage edge-based visual technologies as part of their product offerings.

Outlook: The application of computer vision is increasing in various industries including automotive, healthcare, retail, robotics, agriculture, and manufacturing. It gives AI-enabled gadgets an edge to perform efficiently. BrainChip and Prophesee claim that the combination of their technologies can provide OEMs with a computer vision solution that can be directly implemented in a manufacturer’s end product. It can enable data processing with better efficiency, precision, and economy of energy at the point of acquisition

Just on that FF.

Been reading one of our latest Patent apps from earlier this year.

Appears to be an evolution of earlier ones but some parts lead me to believe it is heavily slanted at event cameras and our Akida in relation to processing the information.

Interesting read and whilst most is above my pay grade there are elements that are understandable.

I snipped a few sections.

First link to overarching BRN USPTO including TMs (live & dead). Second link is the patent app.

Brainchip, Inc. Trademarks & Logos

uspto.report

Event-based Extraction Of Features In A Convolutional Spiking Neural Network Patent Application

U.S. Patent Application 20220147797 for Event-based Extraction Of Features In A Convolutional Spiking Neural Network

uspto.report

Event-based Extraction Of Features In A Convolutional Spiking Neural Network​

U.S. patent application number 17/583640 was filed with the patent office on 2022-05-12 for event-based extraction of features in a convolutional spiking neural network. This patent application is currently assigned to BrainChip, Inc.. The applicant listed for this patent is BrainChip, Inc.. Invention is credited to Kristofor D. CARLSON, Milind JOSHI, Douglas MCLELLAND, Harshil K. PATEL, Anup A. VANARSE.

Application Number	20220147797 17/583640
Document ID	/
Family ID	1000006135263
Filed Date	2022-05-12

---

United States Patent Application​	20220147797​
Kind Code​	A1​
MCLELLAND; Douglas ; et al.​	May 12, 2022​

[0100] DVS Camera: DVS stands for dynamic vision sensor. DVS cameras generate events which event-based processors like embodiments of the present approach can process directly. Most cameras produce frame-based images. The main advantage to DVS cameras is the low-latency and the potential for extremely low-power operation.

[0116] A deep neural network (DNN) is defined as an artificial neural network that has multiple hidden layers between its input and output layers, each layer comprising a perceptron. A Convolutional Neural network (CNN) is a class of DNN that performs convolutions and is primarily used for vision processing. CNNs share synaptic weights between neurons. Shared weight values in a perceptron are referred to as filters (aka kernels). Each layer in a conventional CNN is a perceptron. In the present embodiment, event-based convolution is implemented in a Spiking Neural Network (SNN) using event-based rank-coding rather than rate-coding, which has advantages in speed and considerably lower power consumption. Rank coding differs from rate-coding of spike events in that values are encoded in the order of spikes transmitted. In rate coding the repetition rate of spikes transmitted expresses a real number. CNNs process color images which are defined as: imageWidth.times.imageHeight.times.channelNumber. A color image generally has 3 channels (Red, Green, and Blue). CNNs often have many layers, so the output of a convolutional layer is the input to the next convolutional layer. Descriptions are provided as to how convolutions take place in conventional perceptron-based CNN before discussing the event-based convolution methods implemented in the present invention and show that the result of convolution in a CNN and event-based convolution in the present invention return the same results.

[0256] One advantage of implementing event-based transposed convolution is to achieve reusability of the spiking neuron circuits, which will reduce the size and cost of the neuromorphic hardware (e.g. a chip). In other words, the neuromorphic hardware is optimized to implement a diverse variety of use cases by effectively reusing the spiking neuron circuits available on the hardware.

[0283] The present method and system also includes data augmentation capability arranged to augment the network training phase by automatically training the network to recognize patterns in images that are similar to existing training images. In this way, feature extraction during feature prediction by the network is enhanced and a more robust network achieved.

[0284] Training data augmentation is a known pre-processing step that is performed to generate new and varying examples of original input data samples. When used in conjunction with convolutional neural networks, data augmentation techniques can significantly improve the performance of the neural network model by exposing robust and unique features.

[0286] However, existing training data augmentation techniques are carried out separately of the neural network, which is cumbersome, expensive and time consuming.

[0287] According to an embodiment of the present invention, an arrangement is provided whereby the set of training samples is effectively augmented on-the-fly by the network itself by carrying out defined processes on existing samples as they are input to the network during the training phase. Accordingly, with the present system and method, training data augmentation is performed on a neuromorphic chip, which substantially reduces user involvement, and avoids the need for separate preprocessing before commencement of the training phase.

[0315] It will be appreciated that the disclosed data augmentation technique produces a more robust machine learning model by effectively creating different training inputs using existing training data. Performing transformations on the data can create new samples for the model to train on, and varying the data through transformations can cover a larger input domain with limited samples. Advantageously, transforming the data creates new input samples, artificially creating different scenarios for the model to train on. This technique can also be used to create new samples while implementing one/low shot learning in the spiking domain.