BRN Discussion Ongoing

[Tothemoon24]

Apologies I can’t seem to shorten .

I’m a big fan of Tata / TCS some interesting patent information.
Generally speaking this is above my hourly rate
$2.34

	1	EP3913534A4	SYSTEM AND METHOD FOR REAL-TIME RADAR-BASED ACTION RECOGNITION USING SPIKING NEURAL NETWORK(SNN) Application	Publication/Patent Number: EP3913534A4	Publication Date: 2021-11-24	Application Number: EP20213433	Filing Date: 2020-12-11	Inventor： Rani, Smriti Dey, Sounak George, Arun Pal, Arpan Banerjee, Dighanchal Chakravarty, Tapas Chowdhury, Arijit Mukherjee, Arijit	Assignee: Tata Consultancy Services Limited	IPC: G06K9/00	Abstract: This disclosure relates generally to action recognition and more particularly to system and method for real-time radar-based action recognition. The classical machine learning techniques used for learning and inferring human actions from radar images are compute intensive, and require volumes of training data, making them unsuitable for deployment on network edge. The disclosed system utilizes neuromorphic computing and Spiking Neural Networks (SNN) to learn human actions from radar data captured by radar sensor(s). In an embodiment, the disclosed system includes a SNNmodel having a data pre-processing layer, Convolutional SNN layers and a Classifier layer. The preprocessing layer receives radar data including doppler frequencies reflected from the target and determines a binarized matrix. The CSNN layers extracts features (spatial and temporal) associated with the target's actions based on the binarized matrix. The classifier layer identifies a type of the action performed by the target based on the features
	2	EP3913534A1	SYSTEM AND METHOD FOR REAL-TIME RADAR-BASED ACTION RECOGNITION USING SPIKING NEURAL NETWORK(SNN) Application	Publication/Patent Number: EP3913534A1	Publication Date: 2021-11-24	Application Number: EP20213433.4	Filing Date: 2020-12-11	Inventor： Dey, Sounak Mukherjee, Arijit Banerjee, Dighanchal Rani, Smriti George, Arun Chakravarty, Tapas Chowdhury, Arijit Pal, Arpan	Assignee: Tata Consultancy Services Limited	IPC: G06K9/46	Abstract: This disclosure relates generally to action recognition and more particularly to system and method for real-time radar-based action recognition. The classical machine learning techniques used for learning and inferring human actions from radar images are compute intensive, and require volumes of training data, making them unsuitable for deployment on network edge. The disclosed system utilizes neuromorphic computing and Spiking Neural Networks (SNN) to learn human actions from radar data captured by radar sensor(s). In an embodiment, the disclosed system includes a SNNmodel having a data pre-processing layer, Convolutional SNN layers and a Classifier layer. The preprocessing layer receives radar data including doppler frequencies reflected from the target and determines a binarized matrix. The CSNN layers extracts features (spatial and temporal) associated with the target's actions based on the binarized matrix. The classifier layer identifies a type of the action performed by the target based on the features
	3	US20210365778A1	SYSTEM AND METHOD FOR REAL-TIME RADAR-BASED ACTION RECOGNITION USING SPIKING NEURAL NETWORK(SNN) Application	Publication/Patent Number: US20210365778A1	Publication Date: 2021-11-25	Application Number: US17/122,041	Filing Date: 2020-12-15	Inventor： Dey, Sounak Mukherjee, Arijit Banerjee, Dighanchal Rani, Smriti George, Arun Chakravarty, Tapas Chowdhury, Arijit Pal,	Assignee: Tata Consultancy Services Limited	IPC: G06N3/08	Abstract: This disclosure relates generally to action recognition and more particularly to system and method for real-time radar-based action recognition. The classical machine learning techniques used for learning and inferring human actions from radar images are compute intensive, and require volumes of training data, making them unsuitable for deployment on network edge. The disclosed system utilizes neuromorphic computing and Spiking Neural Networks (SNN) to learn human actions from radar data captured by radar sensor(s). In an embodiment, the disclosed system includes a SNNmodel having a data pre-processing layer, Convolutional SNN layers and a Classifier layer. The preprocessing layer receives radar data including doppler frequencies reflected from the target and determines a binarized matrix. The CSNN layers extracts features (spatial and temporal) associated with the target's actions based on the binarized matrix. The classifier layer identifies a type of the action performed by the target based on the features.

 

[Fact Finder]

Crikey!

Mercedes Says Level 4 Self-Driving Will Happen By 2030​

MAR. 02, 2023 6:32 PM ETBY JAY TRAUGOTT TECHNOLOGY / 5 COMMENTS
The German automaker has already beaten rivals for Level 3 approval.
Mercedes-Benz has gone on record stating that Level 4 self-driving is "doable" by decade's end. Speaking to Automotive News, the German automaker's Chief Technology Officer, Markus Schafer, said, "private-owned Level 4 cars, absolutely. This is something that I see in the future."
Mercedes' Level 3 technology, called Drive Pilot, is the first of its kind in the US and has already been approved for use in Nevada, and other states such as California are expected to follow suit in the coming months. For now, only the 2024 S-Class and EQS Sedan offer Level 3, both of which will go on sale in the second half of this year. Unlike Level 2+ systems like GM's Super Cruise, Ford's Blue Cruise, and Tesla's Autopilot and Full Self-Driving, Drive Pilot can "hand over the dynamic driving task to the vehicle under certain conditions."
The system utilizes a combination of LiDAR, radar, and various sensors to allow for safe highway driving at speeds of up to 40 mph.

Mercedes-Benz

Mercedes-Benz

Yes, Level 3 makes it possible to text and drive (although we should point out that this is still illegal), but the driver must still be ready to assume control of the vehicle at a moment's notice if the system detects any sort of obstacle. Level 4 takes things up a notch. "Just imagine you are in a big city, and you come from work, and you are sitting for two hours in traffic, and you press the button and go to sleep," Schaefer added. "There will be a demand for that."
One key difference between Level 3 and Level 4 is that human drivers don't have to keep an eye on the road in most conditions. Level 4 is ideally suited for heavy traffic within cities, but things like extreme weather are a different matter.
Level 5, which requires absolutely no human involvement, is still years away from becoming possible. Companies like Waymo and Cruise are currently testing driverless taxis with that tech, but it's still far from perfect and remains expensive.

Mercedes is taking responsibility for Drive Pilot's accuracy and safety by assuming liability if the vehicle were to be the cause of a highway crash, for example.
The carmaker's Level 3 headstart places it in a prime position to introduce Level 4. Its upcoming new Modular Architecture platform, due to launch in the middle of the decade, will come hardwired with Level 4 capability once the technology is ready and approved for use by government safety regulators. The race to Level 4 brings not only prestige and bragging rights but also significant revenue.
Automakers - especially luxury brands - know that consumers will be more than happy to pay more for the technology because it brings a lot of additional conveniences. But the most difficult task they will face - and Mercedes is no exception - is proving to the public that Level 4 is safe. The introduction of Level 3 Drive Pilot is a significant step in that direction.

Mercedes Says Level 4 Self-Driving Will Happen By 2030

The German automaker has already beaten rivals for Level 3 approval.

carbuzz.com

I don’t want to inform on anyone but was Mercedes Benz eavesdropping on the last podcast where Peter van der Made confessed to having his first version of beneficial artificial general intelligence available for full autonomous driving in approximately 7 years which some might conclude is about 2030????

My speculation and giant dot joining so DYOR
FF

AKIDA BALLISTA

 

[Bravo]

One word @Damo4 and it starts with a "Y" and ends with an "S".


View attachment 31098

And, no, I don't mean YAMULKAS, before anyone asks.

​

 

[Bravo]

Apologies I can’t seem to shorten .

I’m a big fan of Tata / TCS some interesting patent information.
Generally speaking this is above my hourly rate
$2.34

	1	EP3913534A4	SYSTEM AND METHOD FOR REAL-TIME RADAR-BASED ACTION RECOGNITION USING SPIKING NEURAL NETWORK(SNN) Application	Publication/Patent Number: EP3913534A4	Publication Date: 2021-11-24	Application Number: EP20213433	Filing Date: 2020-12-11	Inventor： Rani, Smriti Dey, Sounak George, Arun Pal, Arpan Banerjee, Dighanchal Chakravarty, Tapas Chowdhury, Arijit Mukherjee, Arijit	Assignee: Tata Consultancy Services Limited	IPC: G06K9/00	Abstract: This disclosure relates generally to action recognition and more particularly to system and method for real-time radar-based action recognition. The classical machine learning techniques used for learning and inferring human actions from radar images are compute intensive, and require volumes of training data, making them unsuitable for deployment on network edge. The disclosed system utilizes neuromorphic computing and Spiking Neural Networks (SNN) to learn human actions from radar data captured by radar sensor(s). In an embodiment, the disclosed system includes a SNNmodel having a data pre-processing layer, Convolutional SNN layers and a Classifier layer. The preprocessing layer receives radar data including doppler frequencies reflected from the target and determines a binarized matrix. The CSNN layers extracts features (spatial and temporal) associated with the target's actions based on the binarized matrix. The classifier layer identifies a type of the action performed by the target based on the features
	2	EP3913534A1	SYSTEM AND METHOD FOR REAL-TIME RADAR-BASED ACTION RECOGNITION USING SPIKING NEURAL NETWORK(SNN) Application	Publication/Patent Number: EP3913534A1	Publication Date: 2021-11-24	Application Number: EP20213433.4	Filing Date: 2020-12-11	Inventor： Dey, Sounak Mukherjee, Arijit Banerjee, Dighanchal Rani, Smriti George, Arun Chakravarty, Tapas Chowdhury, Arijit Pal, Arpan	Assignee: Tata Consultancy Services Limited	IPC: G06K9/46	Abstract: This disclosure relates generally to action recognition and more particularly to system and method for real-time radar-based action recognition. The classical machine learning techniques used for learning and inferring human actions from radar images are compute intensive, and require volumes of training data, making them unsuitable for deployment on network edge. The disclosed system utilizes neuromorphic computing and Spiking Neural Networks (SNN) to learn human actions from radar data captured by radar sensor(s). In an embodiment, the disclosed system includes a SNNmodel having a data pre-processing layer, Convolutional SNN layers and a Classifier layer. The preprocessing layer receives radar data including doppler frequencies reflected from the target and determines a binarized matrix. The CSNN layers extracts features (spatial and temporal) associated with the target's actions based on the binarized matrix. The classifier layer identifies a type of the action performed by the target based on the features
	3	US20210365778A1	SYSTEM AND METHOD FOR REAL-TIME RADAR-BASED ACTION RECOGNITION USING SPIKING NEURAL NETWORK(SNN) Application	Publication/Patent Number: US20210365778A1	Publication Date: 2021-11-25	Application Number: US17/122,041	Filing Date: 2020-12-15	Inventor： Dey, Sounak Mukherjee, Arijit Banerjee, Dighanchal Rani, Smriti George, Arun Chakravarty, Tapas Chowdhury, Arijit Pal,	Assignee: Tata Consultancy Services Limited	IPC: G06N3/08	Abstract: This disclosure relates generally to action recognition and more particularly to system and method for real-time radar-based action recognition. The classical machine learning techniques used for learning and inferring human actions from radar images are compute intensive, and require volumes of training data, making them unsuitable for deployment on network edge. The disclosed system utilizes neuromorphic computing and Spiking Neural Networks (SNN) to learn human actions from radar data captured by radar sensor(s). In an embodiment, the disclosed system includes a SNNmodel having a data pre-processing layer, Convolutional SNN layers and a Classifier layer. The preprocessing layer receives radar data including doppler frequencies reflected from the target and determines a binarized matrix. The CSNN layers extracts features (spatial and temporal) associated with the target's actions based on the binarized matrix. The classifier layer identifies a type of the action performed by the target based on the features.

Sorry. Too many big words for me.

 

[Tothemoon24]

Sorry. Too many big words for me.

Me too ,
I just like SNN , Neuromorphic,

 

[Bravo]

Me too ,
I just like SNN , Neuromorphic,

Anytime someone drops the "D" word (Doppler), I start to lose consciousness a little bit.

 

[Tothemoon24]

Anytime someone drops the "D" word (Doppler), I just start to lose consciousness a little bit.

Agree Dio has the same effect on me

 

[Fact Finder]

So Teksun is a good example

"With BrainChip’s Akida processor, we will be able to deliver next-generation AIoT devices that are faster, more efficient, and more intelligent than ever before and not just meet, but exceed the expectations of our customers"

I have no doubt that they will have customers that will have Akida solving their predictive maintenance in the next year.

As a customer progresses to add Akida they are not each going to take out a licencing agreement are they? That can get quite involving legally with individual agreements and Teksun having to contact us each time. Will Teksun take one out on behalf of all their clients. Or the fact we are in partnership with them do we have a partnership agreement for royalty share in the future??

If it is Teksun that takes it out. Why not take it out now and write contract that payment isn't due till first products produced etc.

Well if you follow the reasoning of the Federal Court in GetSwift and ASIC such a conditional agreement with payment conditioned on the first sale would not constitute an agreement that can be announced on the ASX.

Why because those sales may never occur and therefore a defined sum of money cannot be calculated by the Board.

My opinion only so take real live legal advice DYOR
FF

AKIDA BALLISTA

 

[Diogenese]

Just picked this up over at Talga:

 

[Steve7777]

Hi all, can someone please explain to me how we stayed in the ASX200 when we're lucky be in the top 300? I really don't understand.







 

[Fact Finder]

Anytime someone drops the "D" word (Doppler), I start to lose consciousness a little bit.

What are they teaching the young ones these days in school. We did the Doppler Effect in first year science before computers, mobile phones and Google.

Our science teacher even had us stand on the hockey field while she drove past holding the horn in her car on to demonstrate it in practice.

 

[ndefries]

Well if you follow the reasoning of the Federal Court in GetSwift and ASIC such a conditional agreement with payment conditioned on the first sale would not constitute an agreement that can be announced on the ASX.

Why because those sales may never occur and therefore a defined sum of money cannot be calculated by the Board.

My opinion only so take real live legal advice DYOR
FF

AKIDA BALLISTA

Thanks FF. I agree with you and this could be true for all our partnerships prophesee included. So we could have already come to some terms for income from Qualcomm for example and no need to share this as sales are some time off. It would also mean never a license needed??

 

[Fullmoonfever]

Hi all, can someone please explain to me how we stayed in the ASX200 when we're lucky be in the top 300? I really don't understand.







You just gotta 300 minus the 200 X the actual current position / MC + SOI X Pi obtain the square root.....

Yeah me neither

 

[wilzy123]

I don’t want to inform on anyone but was Mercedes Benz eavesdropping on the last podcast where Peter van der Made confessed to having his first version of beneficial artificial general intelligence available for full autonomous driving in approximately 7 years which some might conclude is about 2030????

My speculation and giant dot joining so DYOR
FF

AKIDA BALLISTA

John Carmack believes we will see fully autonomous vehicles by 2030.

 

[VictorG]

Its probably the investment funds selling most if not all their BRN holdings ahead of the ASX 200 index rebalance. I expect a few more days of this before the share price can bounce back.

The question that has me thinking is, if the institutions that are selling down their BRN holdings had also lent their shares out to shorters, wouldn't the shorters have to buy back their shorts also. Should we expect a few large cross trades in the next few days?

With only 30 minutes to go before close of week, I found a way to cover my face with egg. Happy to be wrong.
BRN now aiming for the ASX 20.

 

[Evermont]

Hi all, can someone please explain to me how we stayed in the ASX200 when we're lucky be in the top 300? I really don't understand.







Because the market makers don't panic based on short term price movements like some shareholders.

 

[Bravo]

You just gotta 300 minus the 200 X the actual current position / MC + SOI X Pi obtain the square root.....

Yeah me neither

I have no idea either. I mean I only just this minute learnt from Fact Finder what the Doppler Effect was! However, I do know what a Doppelgänger is and obviously it's a much bigger word, which I only know on account of having a striking resemblance to Agelina Jolie. Just kidding.

​

 

[Dozzaman1977]

View attachment 31100

I put my hand up and say I was wrong. I thought we would be out of the asx 200 going by weighted market cap over the period .

That's good news that we stay in mate!!
Interesting that life360 got added to the asx 200 with a market cap of only 920 million

 

[Diogenese]

Thanks FF. I agree with you and this could be true for all our partnerships prophesee included. So we could have already come to some terms for income from Qualcomm for example and no need to share this as sales are some time off. It would also mean never a license needed??

My previously mentioned thoughts on some of the partnerships is that they may be joint ventures where both parties agree to co-develop a product (possibly Socionext, Prophesee, ...). This is not a licence agreement. There is no licence fee involved and there are no royalties payable. The parties share in the revenue from sales in proportion to their contribution to the JV.

A short time ago someone posted an email from Tony to the effect that partnerships are different from customer licence arrangements.

 

[Fact Finder]

Thanks FF. I agree with you and this could be true for all our partnerships prophesee included. So we could have already come to some terms for income from Qualcomm for example and no need to share this as sales are some time off. It would also mean never a license needed??

Yes that is what Legal Gymnastics can achieve but not sure how it will go as a spectator sport with the best score being achieved for what the public cannot see.

The problem we have as shareholders is that if we accept what has been said about customers considering AKIDA as a key differentiator then there are very good reasons for these customers to keep the fact they are developing products using AKIDA a secret and we will have to wait for the balance sheet to reflect this success.

Is this the truth? I am clearly personally backing it as the truth.

The fact that MegaChips runs a business model based on promising customers complete anonymity gives me some confidence that this is not unusual in the semiconductor space.

The fact that a couple of years back the Chairman of TATA felt the need to apologise to his shareholders about the lack of information released about new products because of China stealing ideas and IP gives me confidence.

The fact that Nviso produced astonishing performance figures against leading competitors such as Nvidia gives me confidence.

The fact that Edge Impulse described AKIDA as science fiction and provides astonishing comparison figures for AKIDA against a GPU gives me confidence.

The fact that Mercedes Benz claims a five to ten times performance advantage for AKIDA over competitors and then heads underground again and Brainchip is scared to say anything beyond these Mercedes Benz words gives me confidence.

The fact that NASA remains engaged and Brainchip is not allowed to talk about it gives me confidence.

The fact that Intel, ARM and SiFive have partnered with Brainchip gives me confidence.

The fact that Prophesee after partnering with Intel and SynSense lauds AKIDA as allowing their vision sensor to achieve its potential gives me confidence.

The fact that Valeo, Ford and Socionext remain engaged and refuse to say much if anything about precisely what they are doing gives me confidence.

The fact that the Edge has become the new technology black and everyone now wants to get on the bandwagon gives me confidence.

The fact that Renesas has taped out their AKIDA chip taking the standard industry time for this purpose of about two years gives me confidence but continues to release very limited information gives me confidence.

But of course on the other hand everyone who has been employed by Brainchip since the release of the AKIDA IP to select customers in 2019 including the Board and the SAB could be part of a giant conspiracy to lie about NDA’s and EAP customers so they can get more bonus shares in a dud company which will be worthless when the lie is exposed and they are bail refused waiting for trial on remand at Long Bay.

My opinion only DYOR
FF

AKIDA BALLISTA