2021 BRN Discussion, page-11255

Probably the greatest benefit of having been around a long time is experience. That experience can be directly relevant to understanding current events. Having had a life long interest in the stock market and companies and family members who were generational investors I have applied that experience and knowledge and arrived at the conclusion that there has never been a company like Brainchip. Certainly never in Australia.

There have been ground breaking companies like Apple in the US who over time have come to apply their technology to many and varied uses but there has never been a company with a technology like Brainchip that can from day one be applied across every industry you can possibly think of and become ubiquitous in every single one.

So how can I as an investor possibly work out independently where it will first be applied commercially and what will its future value as a company become. I have mentioned before that trying to research what companies might be one of the EAP's still to be disclosed is an impossible task unless someone at Brainchip or at one of these companies makes a slip. Brainchip has proven time and again that it is not a leaky boat. Sometimes you can get clues, tiny little hints that raise your level of excitement and have you running off down every rabbit hole you can find trying to make something out of nothing.

So this morning once again this happened to me when another poster mentioned that Anil Mankar answered a question about whether Brainchip was working with Defence and apparently answered in the affirmative and in doing so also referenced NASA. Knowing that NASA and DARPA work hand in hand on projects there could of course be a link this way so by working with NASA Anil Mankar is implying they also work with DARPA.

Then again I thought DELL Technologies is a DARPA contractor and of course we know from the podcast with Rob Lincourt that DELL Technologies is exploring AKIDA Technology and how they could apply it across the plethora of edges devices produced by DELL.

Then I remembered the answer given by Rob Lincourt to the following question during the podcast and I put it together with what I had read about the pursuit of Ai by the Pentagon in 2019 and I started to wonder what DELL Technologies was up to at that time. As a refresher this is the question and answer I am referring to:

"Rob Telson Brainchip: What is it about Brainchipthat interests you?
Rob Lincourt Dell Technologies: So again, it was that power, so you published somepower numbers very early on and those were very encouraging and intriguing tous and again Dell Technologies has a plethora of products that are throughoutthat Edge ecosystem, and yea to me that having Brainchip, as potentially aspart of that environment, one it gives us a couple of advantages."


The early power numbers for Brainchip's proposed AKIDA device were available early 2019. The availability of these power numbers in 2019 and DELL Technologies interest in Brainchip I discovered coincided with DELL Technologies publishing the following article on its web site and showing its interest in being involved in this project to develop Artificial Intelligence solutions with and for the Department of Defense/DARPA.

A quick read of the article highlights that the Pentagon in 2019 was looking for Ai solutions to at least the following:

1. The present method for deep learning where thousands of images are required to train a system to identify objects in video streams

2. To create an effective Drone system

3. To create tools to facilitate the introduction of Ai into the military

4. To develop a new method for detecting cyber security attacks and threats

5. To develop a method of handling camera and other images to allow for disaster recovery by fly over missions both manned and unmanned

6. To produce automatic maps of wild fire lines and analyse patterns of fires and floods

7. To provide medical diagnostics in the field

8. To provide intelligent machine monitoring and in time maintenance warnings


If you have a basic knowledge of Brainchip you will know that every single one of these areas has been spoken of and written about by Brainchip as areas where AKIDA technology excels against current technologies.

Having checked this summary against the article reproduced below you may consider this to be an accurate summary and you might like myself consider that Anil Mankar's statement about working with Defence could have its roots in a relationship with DELL Technology from as early as 2019.

My opinion and speculation only DYOR
FF

AKIDA Ballista

TRANSFORMATIVE TECHNOLOGY

PentagonProjects Move Military into AI Arena

Artificial intelligence is changing the way the United States Departmentof Defense and the Pentagon does business. The recently created JointArtificial Intelligence Center (JAIC) will focus on a wide variety of projects,such as using machine learning to label thousands of drone video images in itscounterterrorism efforts.

April 25, 2019 | 4 min read

By Marty Graham, Contributor

InFebruary, when the United States Department of Defense’s (DoD) FuturesCommand released an unclassified plan for its artificial intelligence (AI) strategy, it also created its first, large-scale taskmaster: the Joint Artificial Intelligence Center (JAIC, pronounced “Jake”). The AI center is focused on the speed and agility the military hopes to attain through understanding information and managing processes. Funded this year with $90 million, the budget will grow to $414 million next year as the AI center launches its first projects.

Theseprojects are more than ideas and tasks: They’re a pragmatic move to get thetechnology up and running, and demonstrate its usefulness for a wide range ofprojects, since AI is a tool the Defense Innovation Board says will change the way the Pentagon does business. That’s no small matter: The DoD’s fiscal 2019 budget is $750 billion.

TheAI center is the first broad-scale vote of confidence in algorithms. Though theDefense Advanced Research Projects Agency (DARPA) is widely seen as a keypioneer of AI, little of DARPA’s work crossed the hall to militaryapplication. DARPA‘s latest investment is $2 billion toward AI 3.0: teaching machines to adapt to unexpected change in circumstances.

TheJAIC grew from a smaller effort, Project Maven, which started—like so many image-based machine learning projects —with the painstaking task of identifying and labeling thousands of images to help the machine learn what it’s supposed to look for. The military’s goal was to develop AI capable of using drone video in its counterterrorism efforts.

Google won the $28 million contract to build an algorithm that can interpret video to advance the drone video effort and provide cloud services to Project Maven, quickly sparking controversy among Google employees who balked at the idea of the company entering the war-fighting arena. In response to a petition signed by several thousand people from the Tech Workers Coalition and its own employees, Google opted not to renew the contract.

ThePentagon’s lead on Project Maven, U.S. Air Force Lt. Gen. Jack Shanahan, isheading the new initiatives with the JAIC. In a March interview, Shanahan said the past controversy stemmed from “grave misperceptions about what the DoD is actually working on.”

Working With Brains and Brawn

Usingthe Maven model, the JAIC looks to academia and the high-tech industry for theexpertise and bandwidth to dive quickly into large-scale AI. The AI centerteamed with Carnegie Mellon University‘s National Robotics Engineering Center, bringing $72 million to the table.

Withthe far-reaching mission of rapidly introducing AI throughout the military, theJAIC is looking for partners in the private sector to supply the needed toolsand expertise, including cloud computing and algorithm development. Working ona short list of demonstration projects creates a real-time framework forimplementing these tools.

“The benefits to thedepartment will continue to accrue over time, increasing the level ofunderstanding of AI across the force while accelerating the delivery andadoption of AI throughout the DoD.”—Elissa Smith, JAIC spokesperson

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“Itis important to show early wins that provide practical results and demonstratethe art of [what’s] possible, followed by scaling capabilities across theenterprise,” Elissa Smith, spokesperson for the JAIC, says. “As we build andscale each project, our ability to harness the full operational potential of AIincreases. The benefits to the department will continue to accrue over time,increasing the level of understanding of AI across the force while acceleratingthe delivery and adoption of AI throughout the DoD.”

Thecenter is focusing its early efforts on projects in several different areas:applying machine learning to maintenance of its fleet of Sikorsky UH-60helicopters, and to humanitarian and disaster relief missions. A third,recently added project called cyber sense-making will develop an algorithm todetect and deter cyber attackers whose skills are aimed at DoD informationsystems.

Thepredictive maintenance project is expected to result in better forecasting,diagnosis, and management of maintenance of the military’s Black Hawkhelicopters that will reduce costs, increase safety, and improve efficiency,Smith explains. It will incorporate data that includes staffing and supplyissues, location and use of helicopters, and maintenance records to analyzepatterns of work being done.

Usingthe flood of image data from the ever-increasing video sensors and videogathered on fly-overs by military-manned and unmanned aircraft, thehumanitarian assistance and disaster relief project aims to reduce the time ittakes to understand conditions on the ground, such as in disasters like therecent California wildfires. This will allow for better decision-making abouthow to allocate resources more effectively, and will enable smarter, quicker,lifesaving-efforts and relief assistance—from providing food and clean water tobeginning to clear debris and rebuild.

“As the JAIC’scapacity increases, the team will explore how to broaden the use of AIcapabilities.”—Elissa Smith, JAIC spokesperson

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“Thismission initiative is using AI to automatically map active fire lines fromfull-motion video, and will reduce the time and cost of mapping active wildfires,” says Smith. “The mission initiative has plans to extend this to othertypes of imagery, as well as to expand the work to assess infrastructure damageduring other events, such as flooding. As the JAIC’s capacity increases, theteam will explore how to broaden the use of AI capabilities.”

Thereare other projects—from small ones that achieve real efficiencies in existingprocesses to larger ones with broader goals that haven’t previously beenconsidered or seen as possible. “We are in early discussions on theapplicability of AI to help with solutions in areas as diverse as talentmanagement, suicide prevention, preventive medicine, installation and forceprotection, and other solutions,” she says.

Butthe JAIC has even bigger goals.

Byfocusing on limited scale projects, the JAIC aims to prepare the rest of thePentagon to think about where AI can make things sleeker, smarter, and faster.Anticipating and managing maintenance for a few thousand helicopters, forexample, can lay the groundwork for different ways to staff and supply what’sneeded to track and maintain the DoD‘s 97,000 trucks and 66,000 passenger vehicles, 2,100 UH-60 helicopters, and thousands of other aircraft and hundreds of ships.

“TheJAIC will develop a common foundation that is essential for scaling AI’s impactacross the DoD,” Smith says. “This foundation includes shared data, reusabletools, frameworks, libraries, standards, and cloud and edge services.”

https://www.delltechnologies.com/en-us/perspectives/pentagon-projects-move-military-into-ai-arena/