BRN Discussion Ongoing

Fact Finder · Mar 22, 2023

Dhm said:
@Steve10 when Qualcomm revealed their Snapdragon with Prophesee at CES, the blur free photography contribution was not from Brainchip even though many of us thought it was. Therefore it must have been Synsense. Round one to Synsense although there are many rounds to play out over coming years.

No it does not have to be SynSense. Prophesee can run their sensor using Von Neumann computing but it is less efficient. So just because Prophesee is not using AKIDA does not immediately default to SynSense far from it.

What Prophesee has found in Brainchip AKIDA is the optimum processing solution for their technology.

My opinion only DYOR
FF

AKIDA BALLISTA

Steve10 · Mar 22, 2023

Dhm said:
@Steve10 when Qualcomm revealed their Snapdragon with Prophesee at CES, the blur free photography contribution was not from Brainchip even though many of us thought it was. Therefore it must have been Synsense. Round one to Synsense although there are many rounds to play out over coming years.

No. Qualcomm was using their own Hexagon CNN processor.

db1969oz · Mar 22, 2023

Tezza said:
I was born in Forbes

I have a fair few Forbes connections, no doubt we’ll all know some mutual people.

Tuliptrader · Mar 22, 2023

Fact Finder said:
This is potentially huge. I have rabbited on about the cognitive communications market and how important it is to Brainchip’s commercial success.

And before anyone flogs the dead horse about this is only NASA etc; read this:

The global radio frequency front end market size was valued at $18.8 billion in 2021, and is projected to reach $69.9 billion by 2031, growing at a CAGR of 13.8% from 2022 to 2031.
View attachment 32750
https://www.alliedmarketresearch.com › ...

Radio Frequency Front End Market Size and Forecast

My opinion only DYOR
FF

AKIDA BALLISTA

Intellisense does preface their Akida/NASA integration anouncement with "one such project"

"One such project is the development of a new Neuromorphic Enhanced Cognitive Radio (NECR) device to enable autonomous space operations on platforms constrained by size, weight and power (SWaP). Intellisense’s NECR technology provides NASA numerous applications and can be used to enhance the robustness and reliability of space communication and networking, especially cognitive radio devices".

A reasonable deduction from that wording is this is one of many possible projects involving akida.

Seems like another great fit for Brainchip.

TT

Dhm · Mar 22, 2023

Fact Finder said:
No it does not have to be SynSense. Prophesee can run their sensor using Von Neumann computing but it is less efficient. So just because Prophesee is not using AKIDA does not immediately default to SynSense far from it.

What Prophesee has found in Brainchip AKIDA is the optimum processing solution for their technology.

My opinion only DYOR
FF

AKIDA BALLISTA

Steve10 said:
No. Qualcomm was using their own Hexagon CNN processor.

Thank you both. This is the first time the correct explanation came to me. Or perhaps I just missed this the last time.

Steve10 · Mar 22, 2023

Nvidia CEO Jensen Huang has mentioned that "the iPhone moment of AI has started".

Nvidia turns to AI cloud rental to spread new technology

Economy 20 minutes ago (Mar 22, 2023 08:33)

By Stephen Nellis

(Reuters) -Nvidia Corp Chief Executive Jensen Huang on Tuesday laid out the company's plans to make the powerful and expensive supercomputers used to develop AI technologies like ChatGPT available for rent to nearly any business.

While that access will not come cheap - at $37,000 a month for eight of Nvidia's flagship A100 or H100 chips strung together - offering it to a wider swath of business customers could accelerate an AI boom that has driven Nvidia shares up 77% this year, making it about five times more valuable than longtime rival Intel Corp (NASDAQ:INTC).

The Santa Clara, California-based company already dominates the field for artificial intelligence chips and has helped partners like Microsoft Corp (NASDAQ:MSFT) build huge systems for ChatGPT creator OpenAI's services to answer questions with human-like text and generate images from prompts.

At Nvidia's annual software developer conference on Tuesday, Huang said the company was working with partners such as Oracle Corp (NYSE:ORCL) to offer access to Nvidia's DGX supercomputers with as many as 32,000 of Nvidia's chips to anyone who can log on with a web browser.

"The iPhone moment of AI has started," Huang said in the virtual keynote address, referring to how Apple Inc (NASDAQ:AAPL) opened up the market for smartphones.

Huang said Nvidia was also working with Microsoft and Alphabet (NASDAQ:GOOGL) Inc to offer its supercomputers, used to create new AI products, as a service. Nvidia on Tuesday announced new chips and software designed to make products like chatbots much cheaper to operate on a day-to-day basis after they have been created with supercomputers.

Those products "are years ahead of the competition," said Hans Mosesmann, a semiconductors analyst at Rosenblatt Securities. "Nvidia's leadership on the software side of AI is not only monumental - it is accelerating."

Nvidia is also partnering with AT&T Inc (NYSE:T) to make dispatching trucks more efficient, collaborating with quantum computing researchers to speed software development, and working with industry giant Taiwan Semiconductor Manufacturing Co to speed up chip development, Huang added.

Nvidia's new rental service, called DGX Cloud, could give many more developers the chance to access tens of thousands of its chips at once. Biotech firm Amgen Inc (NASDAQ:AMGN) and software firm ServiceNow Inc have started using the service, Nvidia said.

Nvidia also launched a service called AI Foundations to help companies train their customized artificial intelligence models. Several major owners of stock image databases plan to use the service, which would avert legal questions about copyright of images used to generate AI content.

Huang also announced technology to speed up the design and manufacturing of semiconductors. The software uses Nvidia's chips to speed up a step that sits between the software-based design of a chip and the physical fabrication of the lithography masks used to print that design on a piece of silicon.

Those calculations could take a traditional computing chip two weeks to complete, but Nvidia said Tuesday its chips and software can handle the task overnight and reduce the electricity used in the task from 35 megawatts to 5 megawatts.

Nvidia said it was working with ASML Holding (AS:ASML), Synopsys (NASDAQ:SNPS) Inc and TSMC to bring it to market. TSMC will start readying the technology for production in June, Huang said.

Dozzaman1977 · Mar 22, 2023

chapman89 said:
Intellisense-

BrainChip’s Neuromorphic Technology Enables Intellisense Systems to Address Needs for Next-Generation Cognitive Radio Solutions

Discover the transformative capabilities of BrainChip's advanced AI technology in enabling efficient and intelligent radio communications.

brainchip.com

View attachment 32749

Great recommendation of brainchip akida tech!!!
From press release!!!

“We are excited to partner with BrainChip and leverage their state-of-the-art neuromorphic technology,” said Frank T. Willis, President and CEO of Intellisense. “By integrating BrainChip’s Akida processor into our cognitive radio solutions, we will be able to provide our customers with an unparalleled level of performance, adaptability and reliability.”

Larry David Hbo GIF by Curb Your Enthusiasm

Some AI info on the company website

Artificial Intelligence

Artificial intelligence is an often misunderstood concept, conjuring images of computers replacing humans and creating chaos. Most artificial intelligence tools, however, strive to improve people’s decision-making through accurate, detailed, and rapidly reported information. They are computer-aided systems that seeks to enhance human intelligence, not replace it.

Artificial intelligence can encapsulate a number of concepts and labels, including augmented intelligence, enhanced intelligence, cognitive augmentation, or intelligence amplification. From engineering to medicine to transportation, artificial intelligence has empowered people in a variety of industries to improve situational awareness, aggregate trillions of bites of data, and tackle modern world’s greatest challenges. Doctors using information technology to better diagnose patients, firefighters getting environmental data in order to tackle a raging wildfire, and soldiers identifying unseen threats on the electromagnetic spectrum, are just some examples of artificial intelligence guiding people toward better outcomes.

Artificial Intelligence Innovations from Intellisense Systems:

In each of the scenarios above, a human is in control, but the artificial intelligence system, which is comprised of advanced sensing, data processing, and communication technology, aids the person in making more informed and possibly life-saving decisions.
The mission at Intellisense is to create innovative solutions that improve the awareness, decision-making, and safety of our clients’ operations. The processing and visualization of vital information via artificial intelligence algorithms helps us achieve that goal. See how we are innovating the use of artificial intelligence tools to provide our customers with the better solutions to improve their operations.

Real-Time Image Enhancement

No longer the stuff of spy movies, Intellisense has designed deep learning-based, super-resolution algorithms that can enhance and clarify images in real time. One application of this technology improves image contrast and reduces noise by reading both real-time color and thermal imagery.

Multi-Sensor Fusion

From weather stations to display solutions, the technology developed by Intellisense combines multiple sensors to deliver more thorough and useful data to customers. One of these solutions fuses visible and near-infrared imaging to identify people or animals in forested areas in either day- or nighttime conditions. This handheld device can also identify distinguishing features that may be invisible to the human eye, like people carrying weapons or running engines inside motor vehicles.

Target Recognition Classification

For Intellisense’s customers, identifying hidden threats or pitfalls is critical. Our engineers have developed a myriad of solutions that quickly identify classes and patterns. When tasked with devising an automatic target recognition (ATR) tool that could quickly classify weapons and body armor on enemy combatants, Intellisense integrated a visible camera, infrared imaging, and a deep-learning neural network into a box that could be easily fitted to small firearms. This is just one of the many solutions that Intellisense has pioneered in target recognition classification.

Cybersecurity

Protecting data is just as important as receiving it. In order to respond to a multitude of malware and cyberattacks, cybersecurity must be robust as well as nimble. When Intellisense’s customers needed a portable cybersecurity solution for their remote operations, we designed an A.I.-based mobile cyber laboratory consisting of two computers that defend against malware and data breaches.

Embedded and Edge Computing

Getting information to its intended location swiftly is essential for organizations of all kinds. Embedded and edge computing ensures that data processing and storage occurs closer to the location where it is needed. To fulfill this need for the U.S. Military, Intellisense includes cloud-based data logging in every Micro Weather Station (MWS®) that is manufactures to guarantee that the environmental data processed can reliably reach its intended destination.

ndefries · Mar 22, 2023

Fact Finder said:
This is potentially huge. I have rabbited on about the cognitive communications market and how important it is to Brainchip’s commercial success.

And before anyone flogs the dead horse about this is only NASA etc; read this:

The global radio frequency front end market size was valued at $18.8 billion in 2021, and is projected to reach $69.9 billion by 2031, growing at a CAGR of 13.8% from 2022 to 2031.
View attachment 32750
https://www.alliedmarketresearch.com › ...

Radio Frequency Front End Market Size and Forecast

My opinion only DYOR
FF

AKIDA BALLISTA

Yes and Intellisense themselves said'

NECR technology’s low-SWaP and low-cost cognitive sensing capability will have many non-NASA applications. The NECR technology can be integrated into commercial communication systems to enhance cognitive sensing and communication capability. Automakers can integrate the NECR technology into automobiles for cognitive sensing and communication.

NASA SBIR 2021-II Solicitation | H6.22-1743 - Neuromorphic Enhanced Cognitive Radio | Proposal Summary

Steve10 · Mar 22, 2023

There is also another future BRN competitor, Innatera. They appear to still be in R&D phase.

Innatera’s ultra-efficient neuromorphic processors mimic the brain’s mechanisms for processing sensory data. Based on a proprietary analog-mixed signal computing architecture, Innatera’s processors leverage the computing capabilities of spiking neural networks to deliver ground-breaking cognition performance within a narrow power envelope. With an unprecedented combination of ultra-low power consumption and short response latency, these devices enable high-performance always-on pattern recognition capabilities in applications at the sensor-edge.

Ultra low power intelligence for the sensor edge. | Innatera

Our processors help sensors recognise patterns with more energy efficiency, lower latency and greater privacy.

www.innatera.com

Innatera tech is analog-mixed signal whereas Akida is digital.

Deleted member 118 · Mar 22, 2023

A

GStocks123 said:
BrainChip on LinkedIn: BrainChip’s Neuromorphic Technology Enables Intellisense Systems to…

BrainChip’s Neuromorphic Technology Enables Intellisense Systems to Address Needs for Next-Generation Cognitive Radio Solutions https://lnkd.in/gkPUYJtA

www.linkedin.com

Another drop in SP I guess with this news

TechGirl · Mar 22, 2023

ndefries said:
Yes and Intellisense themselves said'

NECR technology’s low-SWaP and low-cost cognitive sensing capability will have many non-NASA applications. The NECR technology can be integrated into commercial communication systems to enhance cognitive sensing and communication capability. Automakers can integrate the NECR technology into automobiles for cognitive sensing and communication.

NASA SBIR 2021-II Solicitation | H6.22-1743 - Neuromorphic Enhanced Cognitive Radio | Proposal Summary

NASA SBIR 2021-II Solicitation

Proposal Summary

Proposal Information

Proposal Number:
21-2- H6.22-1743

Phase 1 Contract #:
80NSSC21C0233

Subtopic Title:
Deep Neural Net and Neuromorphic Processors for In-Space Autonomy and Cognition

Proposal Title:
Neuromorphic Enhanced Cognitive Radio

Small Business Concern

Firm:

Intellisense Systems, Inc.

Address:

21041 South Western Avenue, Torrance, CA 90501

Phone:

(310) 320-1827

Principal Investigator:

Name:

Mr. Wenjian Wang Ph.D.

E-mail:

wwang@intellisenseinc.com

Address:

21041 South Western Avenue, CA 90501 - 1727

Phone:

(310) 320-1827

Business Official:

Name:

Selvy Utama

E-mail:

notify@intellisenseinc.com

Address:

21041 South Western Avenue, CA 90501 - 1727

Phone:

(310) 320-1827

Summary Details:

Estimated Technology Readiness Level (TRL) :
Begin: 3
End: 4

Technical Abstract (Limit 2000 characters, approximately 200 words):
Intellisense Systems, Inc. proposes in Phase II to advance development of a Neuromorphic Enhanced Cognitive Radio (NECR) device to enable autonomous space operations on platforms constrained by size, weight, and power (SWaP). NECR is a low-size, -weight, and -power (-SWaP) cognitive radio built on the open-source framework, i.e., GNU Radio and RFNoC™, with new enhancements in environment learning and improvements in transmission quality and data processing. Due to the high efficiency of spiking neural networks and their low-latency, energy-efficient implementation on neuromorphic computing hardware, NECR can be integrated into SWaP-constrained platforms in spacecraft and robotics, to provide reliable communication in unknown and uncharacterized space environments such as the Moon and Mars. In Phase II, Intellisense will improve the NECR system for cognitive communication capabilities accelerated by neuromorphic hardware. We will refine the overall NECR system architecture to achieve cognitive communication capabilities accelerated by neuromorphic hardware, on which a special focus will be the mapping, optimization, and implementation of smart sensing algorithms on the neuromorphic hardware. The Phase II smart sensing algorithm library will include Kalman filter, Carrier Frequency Offset estimation, symbol rate estimation, energy detection- and matched filter-based spectrum sensing, signal-to-noise ratio estimation, and automatic modulation identification. These algorithms will be implemented on COTS neuromorphic computing hardware such as Akida processor from BrainChip, and then integrated with radio frequency modules and radiation-hardened packaging into a Phase II prototype. At the end of Phase II, the prototype will be delivered to NASA for testing and evaluation, along with a plan describing a path to meeting fault and tolerance requirements for mission deployment and API documents for integration with CubeSat, SmallSat, and rover for flight demonstration.

Potential NASA Applications (Limit 1500 characters, approximately 150 words):
NECR technology will have many NASA applications due to its low-SWaP and low-cost cognitive sensing capability. It can be used to enhance the robustness and reliability of space communication and networking, especially cognitive radio devices. NECR can be directly transitioned to the Human Exploration and Operations Mission Directorate (HEOMD) Space Communications and Navigation (SCaN) Program, CubeSat, SmallSat, and rover to address the needs of the Cognitive Communications project.

Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words):
NECR technology’s low-SWaP and low-cost cognitive sensing capability will have many non-NASA applications. The NECR technology can be integrated into commercial communication systems to enhance cognitive sensing and communication capability. Automakers can integrate the NECR technology into automobiles for cognitive sensing and communication.

Duration: 24

buena suerte :-) · Mar 22, 2023

TechGirl said:
Holy farken ShitBalls

They are no longer only EAP’s they are Partners

Thanks Jesse

Very nice .... Happy days

“We are excited to partner with BrainChip and leverage their state-of-the-art neuromorphic technology,” said Frank T. Willis, President and CEO of Intellisense. “By integrating BrainChip’s Akida processor into our cognitive radio solutions, we will be able to provide our customers with an unparalleled level of performance, adaptability and reliability.”

HopalongPetrovski · Mar 22, 2023

Slade said:
I am fine with whatever everyone else agrees on. I thought having the other thread worked well and helped keep this thread focused on facts and research. Personally I don't like reading about other people's fears about the share price, unless they can support why they are worried with some decent research.

I think the primary fact is that any research in this Company is really only of a cursory interest to the vast majority of people who visit here and is relevant mainly due to the extent of the likely effect it will have on our share price.

Lets face the fact that the main reason we spend any time here at all is because we are invested, not just in some pretty ideas of technological advancement, but with our hard earned dollars and in the hope of becoming fabulously wealthy.

The fact that our product can have a beneficial impact on the world is gravy and did indeed attract me to Brainchip, but in all honesty the main reason I'm here is for the money.

Dozzaman1977 · Mar 22, 2023

Steve10 said:
There is also another future BRN competitor, Innatera. They appear to still be in R&D phase.

Innatera’s ultra-efficient neuromorphic processors mimic the brain’s mechanisms for processing sensory data. Based on a proprietary analog-mixed signal computing architecture, Innatera’s processors leverage the computing capabilities of spiking neural networks to deliver ground-breaking cognition performance within a narrow power envelope. With an unprecedented combination of ultra-low power consumption and short response latency, these devices enable high-performance always-on pattern recognition capabilities in applications at the sensor-edge.

Ultra low power intelligence for the sensor edge. | Innatera

Our processors help sensors recognise patterns with more energy efficiency, lower latency and greater privacy.

www.innatera.com

There is / will be competitors...........Do any other neuromorphic chips at the moment in the market place have the capabilities to do ON CHIP LEARNING ??????

I believe all the other neuromorphic chips need to use the cloud to do the learning, where Akida has the unique ability to learn and extend classes on the device

Steve10 · Mar 22, 2023

Dozzaman1977 said:
There is / will be competitors...........Do any other neuromorphic chips at the moment in the market place have the capabilities to do ON CHIP LEARNING ??????

That will be Akida's big differentiating feature with many benefits for the customer.

rgupta · Mar 22, 2023

Dhm said:
@Steve10 when Qualcomm revealed their Snapdragon with Prophesee at CES, the blur free photography contribution was not from Brainchip even though many of us thought it was. Therefore it must have been Synsense. Round one to Synsense although there are many rounds to play out over coming years.

Did they mentioned synsense?

buena suerte :-) · Mar 22, 2023

Dozzaman1977 said:
There is / will be competitors...........Do any other neuromorphic chips at the moment in the market place have the capabilities to do ON CHIP LEARNING ??????

I believe all the other neuromorphic chips need to use the cloud to do the learning, where Akida’s has the unique ability to learn and extend classes on the device

They will also have to go through the same R&D process as we have been through once it becomes available (maybe another year+++) ..And Selling/convincing the companies that the product is for them!? And as we have found out it takes years from getting an interested party onboard to them testing and incorporating it into a product and signing up for IP!
IMO we will have taken up a huge chunk of the market by the time any other Neuromorphic chip hits the Ai space! And as Dozz say's who else has on-chip-learning???

GO BRN

Fullmoonfever · Mar 22, 2023

Thanks @chapman89

All moving right direction with right partners.

I'll just pop this prev post on RF and NECR here