BRN Discussion Ongoing

[M_C]

Some would have you believe that the eqxx is only a concept car and Mercedes isn't actually going to use AKIDA.................- I beg to differ

2min40sec "The Vision eqxx is a trailblazer which underlines where our ENTIRE COMPANY IS HEADED" -

 

[HopalongPetrovski]

Some would have you believe that the eqxx is only a concept car and Mercedes isn't actually going to use AKIDA.................- I beg to differ

2min40sec "The Vision eqxx is a trailblazer which underlines where our ENTIRE COMPANY IS HEADED" -

I want one! I want one NOW.

 

[Fact Finder]

I want one! I want one NOW.

Well at release which was January, 2022 they said as a straight forward no ifs buts or maybes that it would be road legal and proving the comfortable 1,000 kilometre range in six months. Somewhere else I read an on road price estimate of around $135,000. (Probably US $).

So maybe they will take your deposit.

I personally have absolutely no doubt Mercedes will be commercialising Mercedes brand EV’s that leverage AKIDA technology advances.

I even believe Blind Freddie’s theory that Brainchip and Mercedes have conspired to deliver the first AKD2000 with LSTM Mercedes EV that will extrapolate from events and use emergency braking to not run over children chasing balls onto roadways, drunks staggering sideways into traffic and all the while ignoring plastic bags blowing in the wind thus leaving Tesla in their dust.

But don’t tell anyone as they will think Freddie and I have lost our marbles.

My opinion and conspiracy only DYOR
FF

AKIDA BALLISTA

 

[HopalongPetrovski]

Well at release which was January, 2022 they said as a straight forward no ifs buts or maybes that it would be road legal and proving the comfortable 1,000 kilometre range in six months. Somewhere else I read an on road price estimate of around $135,000. (Probably US $).

So maybe they will take your deposit.

I personally have absolutely no doubt Mercedes will be commercialising Mercedes brand EV’s that leverage AKIDA technology advances.

I even believe Blind Freddie’s theory that Brainchip and Mercedes have conspired to deliver the first AKD2000 with LSTM Mercedes EV that will extrapolate from events and use emergency braking to not run over children chasing balls onto roadways, drunks staggering sideways into traffic and all the while ignoring plastic bags blowing in the wind thus leaving Tesla in their dust.

But don’t tell anyone as they will think Freddie and I have lost our marbles.

My opinion and conspiracy only DYOR
FF

AKIDA BALLISTA

Well, by my reckoning, $US135k converted to our shekels is 182,000.
So at $5 a share that's only 36,400 for possibly state of the art vehicle technology that I get to drive whilst I'm still young enough to enjoy it.
Bring it BrainChip.
Bring it Merc.
Would be a nice ride to our $5 party

 

[Foxdog]

Well, by my reckoning, $US135k converted to our shekels is 182,000.
So at $5 a share that's only 36,400 for possibly state of the art vehicle technology that I get to drive whilst I'm still young enough to enjoy it.
Bring it BrainChip.
Bring it Merc.
Would be a nice ride to our $5 party

We'd better talk about colour choices then - I don't want to turn up wearing the same 'dress'

 

[hamilton66]

Hi SFB,

Biotome and Noisy Gut belt are a couple. Let's hope Nanose is a third.

Here is some information on the NaNose tests from the Technion patent application filed in April 2020.

WO2021214763A1 DEVICE AND METHOD FOR RAPID DETECTION OF VIRUSES

The aim of the study was defined as: Collecting and evaluating data of potential volatile biomarkers in the exhaled air of subjects with and without Covid-19 by the novel sensors of the invention. COVID-19 positive and negative subjects were enrolled. Classification to the 2 study arms was based on a PCR test result. Three medical centers participate in the study: Shamir Health Corporation (“Assaf Harofeh”) in Israel; Northwell Health, Inc. in the United States (“Northwell”); Zayed Military Hospital Abu Dhabi (“Zayed Hospital”).

The study was performed with the sensors installed in 2 devices: 1. The first- generation device with single use units that include the sensors. 2. a device with multi use sensors. The collected data from the devices were analyzed independently by two distinct methods.

The first dataset was collected with the first-generation device with singe use units that include the sensors of the invention. The dataset included subjects tested with the device at two sites: 35 samples from Northwell NY, and 31 samples from Shamir medical center IL. Each test file consisted of responses from duplicated sensor array, and therefore each test file was split into two sample files, based on the sensor sets. Some of the sensors failed to respond, and therefore datasets that included failed sensors were discarded. The total number of sample files that were analyzed after the error- prone samples were discarded is: Northwell - 35 sample files (representing 24 tested subjects - 17 positives, 7 negatives) and Shamir medical center - 31 sample files (representing 21 tested subjects - 14 positives, 7 negatives). The data was analyzed by Brainchip with a Spiking Neural Network, the adjacent confusion matrix shows the results on the test set. The test set included 31 samples- 21 positives and 10 negatives from 21 tested subjects. Zero out of 21 positive samples were identified correctly which represents 100% sensitivity and 4 out of 10 negative samples were identified correctly which represents 40% specificity. The overall accuracy was 80.65% The second study was performed with the multiuse NaNose sensors installed in Sniffphone device. The dataset included 165 samples taken from 141 subjects tested with Sniffphone device at Zayed Military Hospital - 65 samples from 65 COVID-19 positive subjects and 100 samples from 76 COVID-19 negative subjects (Several negative subjects were sampled two or three times). A Linear discriminative analysis was performed. The adjacent confusion matrix shows the results on the test set that that was completely blind to the training and validation of the model. The test set included 37 samples - 8 positive and 29 negative samples from 27 tested subjects. Seven out of eight positive samples were identified correctly which represents 87.5% sensitivity, and 25 out of the 29 negative samples were identified correctly which represents 86.2% specificity. The overall accuracy was therefore 86.5%.

The same data set was analyzed also by the SNN methodology. To make the SNN most efficient, 34 samples were discarded due to noise or improper vector dimensionality. Thus, the dataset included 131 samples taken from 126 subjects tested with Sniffphone device at Zayed Military Hospital- 62 samples from 62 COVID-19 positive subjects and 69 samples from 64 COVID-19 negative subjects (Several negative subjects were sampled two or three times). The adjacent confusion matrix shows the results on the test set that that was completely blind to the training and validation of the model. The test set included 53 samples - 20 positive and 33 negative samples from 53 tested subjects. Nineteen out of 20 positive samples were identified correctly which represents 95% sensitivity and 29 out of 33 negative samples were identified correctly which represents 87.87 % specificity. The overall accuracy was therefore 90.5%.

Two different analysis methods were applied on the dataset and both showed excellent results for the differentiation between COVID positive and COVID negative. While the multiuse sensors achieved a much better specificity (-87%) compared to the single use sensors (40%), this is more likely a result of the vast difference between the datasets: the dataset of the multiuse sensors included 165 samples from 141 subjects while the dataset of the single-use sensors included 66 samples from 45 subjects. During the Clinical study with COVID19 patients the company further improved the 4 components of the device: the mechanical design including the breath collection mechanism, the electronics, the sensors and the classifying algorithm.

"To make the SNN most efficient, 34 samples were discarded due to noise or improper vector dimensionality." This suggests to me that the accuracy and reliability of the data collected by sensor was not 100%, so there may have been technical issues with the NaNose sensor 2 years ago.

D, thanks for the unwaivering supply of info. Stella. Just poked my head into H/C for the 1st time in ages. Jesus, it's toxic. Basically no info, just downrampers vs the rest. It offers nothing, in terms of analysis, or information. Sad to see.
GLTA

 

[M_C]

Wonder what brought this on

https://www.datacenterdynamics.com/en/news/intel-amd-arm-google-and-others-set-up-universal-chiplet-interconnect-express-consortium/

Chiplets are a growing concept in the semiconductor design industry, where tiny dies are used instead of one monolithic die.

This has so far been used to split CPUs into several pieces (in the extreme, Intel Ponte Vecchio includes 47 chiplets on a single package). But with interoperability, one could build chips that mix-and-match chiplets from different companies.

Intel and AMD previously trialed this with the ‘Intel 8th Generation Core with Radeon RX Vega M Graphics' chip that included an ‘H-series’ Intel central processor and an AMD Radeon graphics processor as two chiplets on the same package, but true interoperability has been lacking.

UCIe aims to solve that - at least for the companies that have joined.

The consortium launches with founding members Advanced Semiconductor Engineering, Inc. (ASE), AMD, Arm, Google Cloud, Intel Corporation, Meta, Microsoft Corporation, Qualcomm Incorporated, Samsung, and Taiwan Semiconductor Manufacturing Company

 

[miaeffect]

D, thanks for the unwaivering supply of info. Stella. Just poked my head into H/C for the 1st time in ages. Jesus, it's toxic. Basically no info, just downrampers vs the rest. It offers nothing, in terms of analysis, or information. Sad to see.
GLTA

You've just wasted 100 watt of electricity and 10mb of your precious data.

 

[Deleted member 118]

Heron systems is about the software, what and whos hardware is the question..

Heron Systems' AI pilot just beat a human in a simulated dogfight | Engadget

A DARPA event pitted AI pilots against each other, and then the winner took on a human pilot wearing a VR helmet.

www.google.com

I can’t find anything regarding the technology they are using, but I know who’s they will be.

 

[MrNick]

Could our link with TATA have just come into play here…? Clutching at metaphorical straws perhaps.

TCS wins multi-year deal with Australian govt's Western Power

The two-year pilot aims to aggregate a network of solar-powered homes that collectively generate and store energy, in the same way as traditional thermal power plants, smoothing out the supply and demand for electricity.

m.economictimes.com

 

[BaconLover]

Press Releases Archive

A global media and thought leadership platform that elevates voices in the news cycle. Online since 1998.

www.digitaljournal.com

An oldie but a goodie.

Major Giant. Not long now.

On another note, @Fact Finder some scientists say Milky Way and Andromeda Galaxy will kiss each other goodbye and there will be a new kid in the block approximately 4.5Billion years from now. So Earth may not get the opportunity to be a hot dude roaming around and trying to tease the Sun. Will be consumed alive by the hunks from Andromeda waayyy before then.

 

[Space Cadet]

Out of China

https://ieeexplore.ieee.org/document/9661702

SC

 

[Fact Finder]

View attachment 2879

Press Releases Archive

A global media and thought leadership platform that elevates voices in the news cycle. Online since 1998.

www.digitaljournal.com

An oldie but a goodie.

Major Giant. Not long now.

On another note, @Fact Finder some scientists say Milky Way and Andromeda Galaxy will kiss each other goodbye and there will be a new kid in the block approximately 4.5Billion years from now. So Earth may not get the opportunity to be a hot dude roaming around and trying to tease the Sun. Will be consumed alive by the hunks from Andromeda waayyy before then.

We better send Peter and Anil an email telling them they have half billion less years to save humanity.
FF

 

[Potato]

https://economictimes.indiatimes.co...ut-to-get-even-worse/articleshow/90282485.cms

interesting read on the industry.

 

[cyber]

View attachment 2879

Press Releases Archive

A global media and thought leadership platform that elevates voices in the news cycle. Online since 1998.

www.digitaljournal.com

An oldie but a goodie.

Major Giant. Not long now.

On another note, @Fact Finder some scientists say Milky Way and Andromeda Galaxy will kiss each other goodbye and there will be a new kid in the block approximately 4.5Billion years from now. So Earth may not get the opportunity to be a hot dude roaming around and trying to tease the Sun. Will be consumed alive by the hunks from Andromeda waayyy before then.

View attachment 2879

Press Releases Archive

A global media and thought leadership platform that elevates voices in the news cycle. Online since 1998.

www.digitaljournal.com

An oldie but a goodie.

Major Giant. Not long now.

On another note, @Fact Finder some scientists say Milky Way and Andromeda Galaxy will kiss each other goodbye and there will be a new kid in the block approximately 4.5Billion years from now. So Earth may not get the opportunity to be a hot dude roaming around and trying to tease the Sun. Will be consumed alive by the hunks from Andromeda waayyy before then.

Well that's finally some good news BL.
Wasn't sure whether I was going to be burnt to death, drowned by rising sea levels or choked by ingesting too much plastic.
Cheers

 

[Space Cadet]

Someone should tell them it's already been done. Savee them a lot of hassle

https://www.osti.gov/biblio/1844889-real-time-evolution-deployment-neuromorphic-computing-edge

SC

 

[Diogenese]

this is a rabbit hole... found one interesting paragraph...

Embedded Devices & Intelligent Systems: Building Perceptive Machines

TCS explores embedded computing and intelligent systems and how they can help build perceptive machines.

www.tcs.com

• Embedded computing and communication platforms (ECCP): This group focuses on distributed embedded systems, real-time systems, time-sensitive networks, model partitioning and optimization, sensor reliability and planning, and edgified machine learning on specialized processors and devices like neuromorphic, RISC-V, FPGA. TCS also looks at distributed computing across the edge, fog and cloud with a focus on optimization of communication cost, execution latency, energy footprint, and so on.

The debate is getting hotter and hotter: ARM or RISC-V? ARM and RISC-V? Are ARM and RISC-V competitors or synergic? - E4 Computer Engineering

When talking about processors, the most important factor to consider is the instruction set architecture, or ISA. ARM or RISC-V?...

www.e4company.com

What is FPGA?

Field Programmable Gate Arrays (FPGAs) are integrated circuits often sold off-the-shelf.

www.arm.com

• Neural networks, where the design topology better fits an FPGA and can accelerate matrix multiplication.

Building Sustainable Mobility with TCS Automotive Engineering Services

Shift gears with TCS’ automotive engineering solutions for autonomous driving.

www.tcs.com

Know all About IoT and Digital Engineering Services TCS Offers

Follow the IoT and digital engineering service page to know more about intelligent products, connected plants and services, and IoT-led collaborations.

www.tcs.com

Rebalance the energy equation

We work with energy, resources, and utility businesses to create a smart and sustainable future.

www.tcs.com

inconclusive Mr Nick...requires more digging...tag... your it.

Interesting point - when we had single bit weights and actuations, we did not do matrix multiplication. Now we can do 4-bit weights and actuations, do we do matrix multiplication?

 

[Learning]

After listening to this podcast with ARK Invest's Cathie Wood just makes me drool just thinking about how incredibly big and dominant Brainchip could potentially become:

Big Ideas 2022 with Cathie Wood and Chris Hayes | ARK Podcast

MSNBC’s Chris Hayes interviews our CEO and CIO, Cathie Wood on a wide range of topics spanning all of our big ideas. Cathie shares insights into the world’s current climate of innovation and technology, as well as her predictions for the future.

ark-invest.com

AI will grow to 100T by 2030.

I believed we BRN shareholder will benefit.

What Cathie Wood Sees in the Future for Technology, Innovation - TheStreet

Ark Investment Management Chief Executive Cathie Wood predicts the future of technology and innovation.

www.thestreet.com

Its great to be a shareholder.

 

[Fact Finder]

Well that's finally some good news BL.
Wasn't sure whether I was going to be burnt to death, drowned by rising sea levels or choked by ingesting too much plastic.
Cheers

Hi Cyber
Thought I should find some good positive news just for you.

In explanation for new investors Cyber is a long term investor who has added great content and perspective over many years. He will immediately recognise that the following link is to Dr. Arijit Mukherjee at Tata Consulting Services.

The Dr. presented for TCS with Brainchip on 14.12.19 AKIDA recognising hand gestures and wrote that he looked forward to building a robot based on an AKIDA technology platform.

Since that time he has coauthored a number of papers and patents which would require an SNN processor to be given life at Tata. Some of these papers have been with Dr. Arpan Pal.

(Dr. Arpan Pal is his immediate supervisor. He obviously has an interest in robotics being head of this area but has coauthored articles and patents for remote health monitoring utilising SNN technology. He appears to have a particular interest in real time monitoring of cardiac health.)

Scrolling down his LinkedIn page you will see his continuing close interest in all things Brainchip including EQXX. His specialty is robotics but as Alex the Rocket Scientist said autonomous drones and automobiles are just other forms of robots.



TATA is as I have said since 2020 an EAP and one company which does require strict adherence to NDA’s because of its publicly stated concerns about Chinese industrial espionage.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Fact Finder]

You will need to Google Dr. Arijit Mukherjee TCS and then open his LinkedIn account public page as the above link requires you to be a member. FF

https://in.linkedin.com › arijit72
Arijit Mukherjee - Tata Consultancy Services

Kolkata, West Bengal, India · Senior Scientist, Embedded Devices & Intelligent Systems at TCS Research · Tata Consultancy Services
Arijit has more than 24 years of industry and academic experience in distributed systems, grid/cloud & MPP systems. Currently he is a