BRN Discussion Ongoing

[JoMo68]

 

[Stable Genius]

This talks about NASA using NN; maybe Akida as we know we’re being tested by them:

New AI Algorithms Streamline Data Processing for Space-based Instruments

SNAPSHOT A team of NASA personnel and contractors has prototyped a new set of algorithms that will enable instruments in space to process data more efficiently. Using these algorithms, space-based remote sensors will be able to provide the most important data to scientists on the ground more...

science.nasa.gov

Qualcomm’s involved also.

 

[BrnPos2022]

Palantir is the USA company supplying the Ukrainian soldiers with AI . Anyone on here find a link between BRN and Palantir

Palantir CEO Alex Karp speaks with Software Engineering Lead Robert Imig about the Palantir AI Inference Platform (AIP) and how AIP deploys AI in low-power, disconnected environments.​

This must be Akida so the Ukrainians are using Palantir AI in the war.

 

[Stable Genius]

Palantir CEO Alex Karp speaks with Software Engineering Lead Robert Imig about the Palantir AI Inference Platform (AIP) and how AIP deploys AI in low-power, disconnected environments.​

This must be Akida so the Ukrainians are using Palantir AI in the war.

@BrnPos2022

That headline is 12 months old. From my quick skim of them they are a software company.



If we’ve been supplying products since the war started I would have expected revenue by now.

Cheers

 

[HUSS]

Merry Christmas and happy New Year to all of you and lets wish 2023 bring to us and to the world very successful and rich company called Brainchip!!!!

 

[Serengeti]

Thank you all for generously sharing your research.
Wishing everyone a healthy and prosperous 2023 filled with laughter and joy.

 

[Rise from the ashes]

It’s Japanese or do you mean the event?

Socionext - Wikipedia

en.m.wikipedia.org

Our former CEO Lou Dinardo made that comment.

 

[thelittleshort]

Hopefully Santa brings Elon some Akida for Christmas

New California Law Bans Tesla from Advertising as Fully Self-Driving

Senate Bill 1398 is among the hundreds of new state laws signed by Gov. Gavin Newsom this legislative session. It effectively bans Tesla from advertising its vehicles as fully self-driving.

www.govtech.com

 

[rgupta]

I believe NASA and US defense dept needed an American company to produce are chips or iP.

I think we are forgetting Dell. Theymay also be in picture here.

 

[Esq.111]

Good Morning Chippers ,

For a little fun.... the below is my rough calculations on how Brainchip & the engagements throughout the past year may contribute to the underlying share price.

The ascribed value I have placed on each engagement per share.

1, BRAINCHIP , Patents x11. $1.30
2, Brainchip AKIDA 1000, lithographic plates, tooling and execution. $1.20
3, Renesas . $0.47
4, Socionext. $0.52
5, MegaChips. $0.67
6, Intel, IFS. $1.12
7, ARM. $0.75
8, SiFive. $0.64
9, NASA, US Gov. $0.92
10, Mercedes-Benz. $0.37
11, Valeo. $0.47
12, Prophesee, $0.72
13, NVISO, $0.27
14, Biotome, $0.53
15, Noisy Gut, $0.21
16, University engagements, X3. $undecided, though have the makings to be substantial in near future.

So .....

In my mind Brainchips pressent share price , reflecting above inputs should be .....

$10.16 AU per share, today, in an ideal world.

*Yes, I have no doubt forgotten a few also.

So....

With 1,825,328,266 total shares & options.
X $10.16 AU
= $18,545,335,182.00AU Market Cap.

Though I still would not sell.
Patiently waiting for the dividends.

Have a great day all.

Regards,
Esq.

 

[Fact Finder]

The Academic World is being woken up to the future by the hugely talented team of researchers at Brainchip as they now spread their wings and publish their findings:

“Implementation of the Canny Edge Detector Using a Spiking Neural Network

Krishnamurthy V. Vemuru †

Citation: Vemuru, K.V. Implementation of the Canny Edge Detector Using a Spiking Neural Network. Future Internet 2022, 14, 371. https://doi.org/10.3390/fi14120371

Received: 6 June 2022
Accepted: 7 December 2022
Published: 11 December 2022

CurrentAddress:BrainChipInc.,23041AvenidadelaCarlota,LagunaHills,CA92653,USA.

Abstract: Edgedetectorsarewidelyusedincomputervisionapplicationstolocatesharpintensity changes and find object boundaries in an image. The Canny edge detector is the most popular edge detector, and it uses a multi-step process, including the first step of noise reduction using a Gaussian kernel and a final step to remove the weak edges by the hysteresis threshold. In this work, a spike-based computing algorithm is presented as a neuromorphic analogue of the Canny edge detector, where the five steps of the conventional algorithm are processed using spikes. A spiking neural network layer consisting of a simplified version of a conductance-based Hodgkin–Huxley neuron as a building block is used to calculate the gradients. The effectiveness of the spiking neural- network-based algorithm is demonstrated on a variety of images, showing its successful adaptation of the principle of the Canny edge detector. These results demonstrate that the proposed algorithm performs as a complete spike domain implementation of the Canny edge detector.
Keywords: edge detection; segmentation; spiking neural networks; bio-inspired neurons

“Spiking neurons are regarded as the building blocks of the neural networks in the brain. Moreover, research in neuroscience indicates the spatiotemporal computing capabilities of spiking neurons play a role in the energy efficiency of the brain. In addition, spiking neurons leverage sparse time-based information encoding, event-triggered plasticity, and low-power inter- neuron signaling. In this context, neuromorphic computing hardware architecture and spike domain machine learning algorithms offer a low-power alternative to ANNs on von Neumann computing architectures. The availability of neuromorphic processors, such as IBM’s TrueNorth [1], Intel’s Loihi [2], and event-domain neural processors, for example, BrainChip’s Akida [3,4], which offers the flexibility to define both artificial neural network layers and spiking neuron layers, are motivating the research and development of new algorithms for edge computing. In the present work, we have investigated how one can program an algorithm for Canny type edge detection using a spiking neural network and spike-based computing.”

https://www.mdpi.com/1999-5903/14/12/371/pdf

Merry Christmas and a joyful New Year to all.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Bravo]

An article published in September 2022. Given my obsession with SoundHound I thought it was worth sharing.

Digital assistants: neural networks drive voice AI growth

Edge solutions provide continuity of service regardless of connectivity as voice AI continues to inspire a wide range of applications.

techhq.com

 

[Xhosa12345]

Merry xmas all, hope everyone enjoys the day with family and friends. As far as the liver goes, get stuck in,but maybe at least wait til 12 before you crack one!!

Looking forward to a breakout 2023 as far as the chip goes. Hopefully the patience will pay off!

 

[Fact Finder]

The Academic World is being woken up to the future by the hugely talented team of researchers at Brainchip as they now spread their wings and publish their findings:

“Implementation of the Canny Edge Detector Using a Spiking Neural Network

Krishnamurthy V. Vemuru †

Citation: Vemuru, K.V. Implementation of the Canny Edge Detector Using a Spiking Neural Network. Future Internet 2022, 14, 371. https://doi.org/10.3390/fi14120371

Received: 6 June 2022
Accepted: 7 December 2022
Published: 11 December 2022

CurrentAddress:BrainChipInc.,23041AvenidadelaCarlota,LagunaHills,CA92653,USA.

Abstract: Edgedetectorsarewidelyusedincomputervisionapplicationstolocatesharpintensity changes and find object boundaries in an image. The Canny edge detector is the most popular edge detector, and it uses a multi-step process, including the first step of noise reduction using a Gaussian kernel and a final step to remove the weak edges by the hysteresis threshold. In this work, a spike-based computing algorithm is presented as a neuromorphic analogue of the Canny edge detector, where the five steps of the conventional algorithm are processed using spikes. A spiking neural network layer consisting of a simplified version of a conductance-based Hodgkin–Huxley neuron as a building block is used to calculate the gradients. The effectiveness of the spiking neural- network-based algorithm is demonstrated on a variety of images, showing its successful adaptation of the principle of the Canny edge detector. These results demonstrate that the proposed algorithm performs as a complete spike domain implementation of the Canny edge detector.
Keywords: edge detection; segmentation; spiking neural networks; bio-inspired neurons

“Spiking neurons are regarded as the building blocks of the neural networks in the brain. Moreover, research in neuroscience indicates the spatiotemporal computing capabilities of spiking neurons play a role in the energy efficiency of the brain. In addition, spiking neurons leverage sparse time-based information encoding, event-triggered plasticity, and low-power inter- neuron signaling. In this context, neuromorphic computing hardware architecture and spike domain machine learning algorithms offer a low-power alternative to ANNs on von Neumann computing architectures. The availability of neuromorphic processors, such as IBM’s TrueNorth [1], Intel’s Loihi [2], and event-domain neural processors, for example, BrainChip’s Akida [3,4], which offers the flexibility to define both artificial neural network layers and spiking neuron layers, are motivating the research and development of new algorithms for edge computing. In the present work, we have investigated how one can program an algorithm for Canny type edge detection using a spiking neural network and spike-based computing.”

https://www.mdpi.com/1999-5903/14/12/371/pdf

Merry Christmas and a joyful New Year to all.

My opinion only DYOR
FF

AKIDA BALLISTA

It was probably too much to expect anyone to open my present and read to the end where it has an exciting conclusion but also a hidden gem as this research was internally funded by:

“Riverside Research Wins 5-Year, $49.5M AFRL MESA II Contract​

Dec 08, 2022
Riverside Research, an independent nonprofit national security company, announces win of the Air Force Research Laboratory (AFRL) Microelectronics and Embedded System Assurance (MESA) II Research and Development contract.

The $49.5M, five-year contract allows Riverside Research to continue its breakthrough research and long-standing technical leadership in this critical mission area.
"We are honored to continue our support for advancing scientific research in support of AFRL and our national security missions," said Riverside Research Vice President, Engineering and Systems Integration, Mary Barefoot.
Riverside Research has conducted research and development on behalf of AFRL for over twenty years, providing independent and unbiased technical R&D in microelectronics, open architecture, electromagnetics, PNT, materials and plasma physics. This contract enables Riverside Research to continue supporting AFRL in its advancement of technologies for the warfighter.”

https://www.riversideresearch.org/insights/riverside-research-wins-5-year-49-5m-afrl-mesa-ii-contract

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Boab]

It was probably too much to expect anyone to open my present and read to the end where it has an exciting conclusion but also a hidden gem as this research was internally funded by:

“Riverside Research Wins 5-Year, $49.5M AFRL MESA II Contract​

Dec 08, 2022
Riverside Research, an independent nonprofit national security company, announces win of the Air Force Research Laboratory (AFRL) Microelectronics and Embedded System Assurance (MESA) II Research and Development contract.

The $49.5M, five-year contract allows Riverside Research to continue its breakthrough research and long-standing technical leadership in this critical mission area.
"We are honored to continue our support for advancing scientific research in support of AFRL and our national security missions," said Riverside Research Vice President, Engineering and Systems Integration, Mary Barefoot.
Riverside Research has conducted research and development on behalf of AFRL for over twenty years, providing independent and unbiased technical R&D in microelectronics, open architecture, electromagnetics, PNT, materials and plasma physics. This contract enables Riverside Research to continue supporting AFRL in its advancement of technologies for the warfighter.”

https://www.riversideresearch.org/insights/riverside-research-wins-5-year-49-5m-afrl-mesa-ii-contract

My opinion only DYOR
FF

AKIDA BALLISTA

From the Riverside website

 

[Deleted member 118]

Merry Xmas everyone

 

[FabricatedLunacy]

Merry Xmas to all.

Special thanks to all the hard work on research on here! Whilst I am convinced about BRN, its good to get the confirmation at times and some facts on why this will(should) go up. And thus staying course is easier!!

Of course we could be in a echo chamber like some Qanon crazies hahahahaha

Anyways!!

This is me for the rest of the day, 31-32 degrees C in The Berra today... perfect for some cold ones!

Cheers everyone!

 

[FabricatedLunacy]

Progress update. Ah Balter XPA…

 

[Diogenese]

Just snorted a glass of Christmas bubbly when I saw this

https://www.msn.com/en-au/money/lis...sedgntp&cvid=ea861c7732bc4f85be76801a10896c24

Can machines think? Here are the companies working to say YES!.​

Watchlist Idea from Microsoft Start • 24/12/2022Follow
IN THIS LIST

AAPL​

Apple Inc

131.86​

-0.28%

AMZN​

Amazon.com Inc

85.25​

1.74%

GOOG​

89.81​

1.76%
Artificial intelligence (AI) uses computers to perform tasks that normally require human intelligence. Many believe that AI will have a profound and pervasive impact on our economy and society in the years ahead, potentially transforming everything from healthcare to transportation. Securities within this list are investing in modern technologies to develop AI products. We use an algorithm that helps us determine which securities have high impact to this domain. This list's performance is calculated on an equally weighted method.
This list has performed -41.63% over the past year. By comparison, S&P/ASX 200 is -4.21% over the same period. The beta of this list, which is a measure of volatility, is Moderately High at 1.18. List Beta is calculated using an equally weighted average beta of the securities within this list. This list includes 90.00% of Technology stocks, 10.00% of Consumer Cyclicals stocks.
List performance is calculated using an equal-weight methodology. This list is generated by scanning the web and using our algorithms to surface potentially relevant securities to the topic. The list is intended to be educational and includes securities that may be suitable for a watchlist. It is not intended for investment or trading purposes. Microsoft does not recommend using the data and information provided as the basis for making any investment decision.

APPLE INC.​

AAPL. Apple Inc. (Apple) designs, manufactures and markets smartphones, personal computers, tablets, wearables and accessories and sells a range of related services. The Company’s products include iPhone, Mac, iPad, AirPods, Apple TV, Apple Watch, Beats products, HomePod, iPod touch and accessories. The Company operates various platforms, including the App Store, which allows customers to discover and download applications and digital content, such as books, music, video, games and podcasts. Apple offers digital content through subscription-based services, including Apple Arcade, Apple Music, Apple News+, Apple TV+ and Apple Fitness+. Apple also offers a range of other services, such as AppleCare, iCloud, Apple Card and Apple Pay. Apple sells its products and resells third-party products in a range of markets, including directly to consumers, small and mid-sized businesses, and education, enterprise and government customers through its retail and online stores and its direct sales force.
Apple Inc. is -12.72 over the past month and -25.20 over the past year, underperforming the S&P/ASX 200 by -10.86 over the past month and -20.99 over the past year.

AMAZON.COM, INC.​

AMZN. Amazon.com, Inc. provides a range of products and services to customers. The products offered through its stores include merchandise and content that it purchased for resale and products offered by third-party sellers. It also manufactures and sells electronic devices, including Kindle, Fire tablet, Fire TV, Echo, and Ring, and it develops and produces media content. It operates through three segments: North America, International and Amazon Web Services (AWS). The AWS segment consists of global sales of compute, storage, database, and other services for start-ups, enterprises, government agencies, and academic institutions. It provides advertising services to sellers, vendors, publishers, authors, and others, through programs, such as sponsored advertisements, display, and video advertising. It serves consumers through its online and physical stores. Customers access its offerings through websites, mobile applications, Alexa, devices, streaming, and physically visiting its stores.
Amazon.com Inc. is -9.43 over the past month and -50.17 over the past year, underperforming the S&P/ASX 200 by -7.58 over the past month and -45.95 over the past year.

ALPHABET INC.​

GOOG. Alphabet Inc. is a holding company. The Company's segments include Google Services, Google Cloud, and Other Bets. The Google Services segment includes products and services such as ads, Android, Chrome, hardware, Google Maps, Google Play, Search, and YouTube. The Google Cloud segment includes Google's infrastructure and platform services, collaboration tools, and other services for enterprise customers. The Other Bets segment includes earlier stage technologies that are further afield from its core Google business, and it includes the sale of health technology and Internet services. Its Google Cloud provides enterprise-ready cloud services, including Google Cloud Platform and Google Workspace. Google Cloud Platform enables developers to build, test, and deploy applications on its infrastructure. The Company's Google Workspace collaboration tools include applications, such as Gmail, Docs, Drive, Calendar, Meet, and various others. The Company also has various hardware products.
Alphabet Inc. is -9.12 over the past month and -38.96 over the past year, underperforming the S&P/ASX 200 by -7.27 over the past month and -34.75 over the past year.

NVIDIA CORPORATION​

NVDA. NVIDIA Corporation is a personal computer (PC) gaming market. The Company’s segments include Graphics and Compute & Networking. The Graphics segment includes GeForce graphics processing units (GPUs) for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; virtual GPU software for cloud-based visual and virtual computing; automotive platforms for infotainment systems, and Omniverse software for building three-dimensional (3D) designs and virtual worlds. The Compute & Networking segment includes Data Center platforms and systems for artificial intelligence (AI), high-performance computing (HPC), and accelerated computing; Mellanox networking and interconnect solutions; automotive AI Cockpit, autonomous driving development agreements, and autonomous vehicle solutions; cryptocurrency mining processors (CMP); Jetson for robotics, and NVIDIA AI Enterprise.
NVIDIA Corp. is -7.95 over the past month and -48.70 over the past year, underperforming the S&P/ASX 200 by -6.10 over the past month and -44.48 over the past year.

BRAINCHIP HOLDINGS LTD​

BRN. BrainChip Holdings Ltd is an Australia-based technology company. The principal activity of the Company is the development of software and hardware accelerated solutions for advanced artificial intelligence (AI) and machine learning applications with a primary focus on the development of its Akida Neuromorphic Processor to provide a complete ultra-low power and fast AI Edge network for vision, audio, olfactory and smart transducer applications. Its products include MetaTF, Akida1000 reference chip and Akida Enablement Platforms. The MetaTF development environment is a machine learning framework used for the creation, training, and testing of neural networks, supporting the development of systems for Edge AI on its Akida event domain neural processor. The Akida1000 reference chip is fully functional and enables working system evaluation. Its Akida Enablement Platforms include Akida PCIe Board, Akida Development Kit Shuttle PC and Akida Development Kit Raspberry Pi.
BrainChip Holdings Ltd. is -5.76 over the past month and 0.77 over the past year, underperforming the S&P/ASX 200 by -3.90 over the past month and 4.98 over the past year.


...

 

[Rise from the ashes]

MERRY CHRISTMAS BRN FAM
No Xmas hat this year for obvious reasons.