Artificial Intelligence, Blockchains, China, international aid

IS CHINA USING ITS INTERNATIONAL AID TO PROMOTE ITS ARTIFICIAL INTELLIGENCE TECH AND GAIN MARKET DOMINANCE IN DEVELOPING COUNTRIES?

Namaste Yogis.   Welcome to the Blockchain & AI Forum, where your technology questions are answered!   Here no question is too mundane.  As a bonus, a proverb is also included.  Today’s question, was submitted by Marcia in Palmdale, CA and she wants to know is China using its international aid to advance use of its artificial intelligence technology and gain market dominance in developing countries?

Marcia, you came to the right place.  You ask a tough question, fortunately there is an organization headquartered in Santa Monica, CA that researches the subject and their name is RAND.  RAND stands for Research and Development Corporation. Let’s understand RAND then answer your specific question.  

RAND is a non-profit public policy research organization.  RAND was established in 1948 with the intent of providing non-partisan policy research and analysis.  Almost 100% of RAND’s 1,800 research staff members have either a Ph.D. or master’s degree.   With seven offices spread across the globe in the USA, UK, and Australia, RAND has a worldwide audience.  Last year RAND launched 800+ new research projects funded by more than 350 clients.  RAND conducts policy research across 10 subjects, including national security.  Bottom line–RAND is an impressive research organization consisting of brainy people.  Holy nerds, Batman!  Now let’s turn to the question asked by Marcia.

According to RAND, at $85B per year, China is the world leader in development finance.  USA development finance falls a far second at only $45B per year.  RAND says, Chinese tech companies can use this large government funding support to deploy state-of-the-art artificial intelligence (AI) tools in development contracts in recipient countries. And therefore, the AI exports facilitated by these arrangements are likely to bolster China’s growing global AI technology-related supply chains, trade flows, technology standards, and regulatory systems.  In other words, when China provides development finance (aid) to Pakistan, for example, the contract with Pakistan, will include conditions that require Pakistan to use Chinese AI technology.  Holy foot in the door, Batman! 

Given the situation, RAND’s national security team was contracted (they don’t say by whom, but you can safety assume a branch of the U.S. government) to explore two questions:

1.  How can China’s AI exports be systematically tracked and analyzed using reliable data sources?

2.  What would promote a better understanding of the global landscape of China’s AI exports?

China does not participate in the International Aid Transparency Initiative.  Hence, researchers tracked Chinese development finance by receiving countries. Researchers used OCED (Organization for Economic Cooperation and Development) data in their research. The dataset captured all official financial and in-kind commitments from China from 2000–2021 to developing countries.

First, let’s look at the published findings of the 33-page report.   https://www.rand.org/pubs/research_reports/RRA2696-1.html  followed by a few words regarding unpublished findings, as perhaps those too are interesting. 

Reported Findings:

  • Researchers discovered 155 AI applications and AI infrastructure projects that were exported to 64 countries
  • The researchers used GIS to map their findings.  Although Pakistan was the largest beneficiary, the map clearly shows most Chinese aid was dedicated to African nations.   

Unreported Findings:

The report has six blank pages and no explanation for the blank pages is offered. The blank pages are not labeled, “Intentionally Left Blank”.  The pages are simply blank with no explanation whatsoever.  And no mention of what who paid for the report!  Holy mystery, Batman!

I end with a proverb from Pakistan:  The friend appears in hard times, not at big dinners.

Until next time,

Yogi Nelson

Artificial Intelligence, blockchain association, Blockchains, China

WHAT ARE BLOCKCHAIN ASSOCIATIONS?

Namaste Yogis.   Welcome to the Blockchain & AI Forum, where your technology questions are answered.   Here no question is too mundane.  As a bonus, a proverb is also included.  Today’s question was submitted by Kandy, and she wants to know what are blockchain associations?

Kandy, you came to the right place.  Although the definition may vary depending on the country, an association is generally defined as an organization comprised of businesses or individuals in a specific industry or trade collaborating to address common issues, set standards, and advocate for their shared interests and goals.  Members pay dues, and the association’s professional staff work on their behalf.  On to the blockchain association located in Washington, D.C.

Washington D.C. is not only the USA capital, it’s also the headquarters of associations.  Government capitals and associations are congenital twins.  Where one goes, so does the other.  As of 2022, over 3,400 associations were registered in Washington, including an association of associations.  Lol!  That is not a joke! 

The Blockchain Association in Washington has 100+ members.  Membership is restricted.  Individuals cannot join, only organizations.  Their mission is “… to advance the future of crypto in the United States, promoting potential of blockchain technology and shaping policy that ensures its success. We work with our members to educate policymakers about blockchain technology and its ability to pave the way for a more secure, competitive, and consumer-friendly digital marketplace.”  Holy shared interest, Batman! Let’s discuss blockchain associations around the world. 

As noted above blockchain associations basically function in a universal manner—they all advocate, educate, promote, hold events, etc.  Hence, I will only highlight one or two unique facts for a select few blockchain associations.

Canada—Blockchain Association of Canada.  Two fun facts about BAC.  First, BAC sponsors innovation challenges.  Second, BAC is headquartered in Vancouver not Ottawa (Canada’s capital).

Cayman Islands.  The Cayman Islands is an international banking center.  Therefore, we should not be shocked to discover the country is embracing blockchain technology.

China.  Several years ago, China declared blockchain a national priority technology and not surprisingly there are numerous national and international blockchain associations, including the UK-China Blockchain Association, the Hong Kong Blockchain Society, French-Chinese Blockchain Association.

Germany—Blockchain Bundersverband.  The German blockchain association has a working group focused on decentralized autonomous organizations. 

Mexico—Blockchain Association of Mexico.  We Latinos are known for coming late.  Lol. The Mexican Blockchain Association arrived early!  Lol!

Singapore–Blockchain Association Singapore (BAS).  The BAS has six working groups including one dedicated to stable coins and central bank digital currency.  If you know Singapore, you are not surprised.

Swiss Blockchain Federation.  Located in Bern (the capital) the SBF works across a range of topics, including bringing blockchain technology to the public sector.

United Arab Emirates—Government Blockchain Association of UAE. 

United Arab Emirates–Middle East, Africa & Asia Crypto & Blockchain Association (MEAACBA).  This is an international blockchain association.  Members hail from the Middle East, Africa, and Asia and the headquartered is in Dubai, UAE.  

United Kingdom–International Blockchain Association (IBA).  The IBA has offices in London, New York, and Dubai. 

Kandy, the research reveals an emerging picture.  First, blockchain adoption is growing fast.  Second adoption is increasingly international.  Third, beyond the USA, Dubai, China, and Singapore are blockchain hot spots. Fourth, crypto does not equal blockchain.  Blockchain is a technology with countless use cases that extends far beyond just crypto.  Five, policy makers are being educated around the world and that portends a brighter future.

I end with a proverb from Tunisia:  Like salt, he doesn’t miss any meal.

Until next time,

Yogi Nelson

Artificial Intelligence, Blockchains, Patents

How are DARPA, Explainable Artificial Intelligence and Nvidia Connected? 

Namaste Yogis.   Welcome to the Blockchain & AI Forum, where your technology questions are answered!   Here no question is too mundane.  As a bonus, a proverb is also included.  Today’s question, comes from Susan in Irvine and she ask how are DARPA, Explainable Artificial Intelligence (XAI) and Nvidia all connected?

Susan, you came to the right place.  As a wealth manager I know you have a fiduciary duty to maintain current on investable technology on behalf of your clients.  Around 1990 a new technology was on the horizon–the internet–and it created trillions in new wealth!  Artificial intelligence (AI) is on a similar trajectory.  However, AI is not well understood–yet.  Let’s take a moment to acquaint ourselves with AI from the perspective of DARPA. In hindsight, DARPAs XAI program could have been used to foresee a tremendous investment opportunity—Nvidia the advanced computer chip maker essential to the AI business.

DARPA is an acronym that stands for Defense Advanced Research Projects Agency.  DARPA is part of the Department of Defense (DoD) and its mission is development of emerging technologies for military use.  DARPA created the internet in the late 1960s to facilitate control and command of military communications.  Under DARPA leadership, the US military maintains technological superiority over all other nations. 

In 2015 DARPA released an article titled, Explainable Artificial Intelligence (XAI).  https://www.researchgate.net/publication/356781652_DARPA_’s_explainable_AI_XAI_program_A_retrospective     Remember the XAI project was undertaken in 2015–years before the public had access to ChatGPT and other similar products.   Let’s examine the research findings.

According to DARPA in 2015, “…dramatic success in machine learning will lead to numerous AI applications.  It appears AI will eventually produce autonomous systems that will perceive, learn, decide, and act on their own”, DARPA predicted.  However, DARPA was concerned the effectiveness of AI systems would be stymied unless and until machines can creditably explain their decisions and actions to human users. Holy transparency, Batman! Therefore, the XAI program was intended to create a suite of machine learning techniques that would:

  • Produce more explainable models, while maintaining a high level of learning performance (prediction accuracy); and
  • Enable human users to understand, appropriately trust, and effectively manage the emerging generation of artificially intelligent partners.

XAI program was focused on the development of multiple systems by addressing challenges in two areas: 

  • machine learning problems to classify events based on multimedia data  
  • machine learning problems to construct decision policies for an autonomous system to perform a variety of simulated missions

DARPA selected these two areas because both represented major operational challenges.  The first relates to classification and reinforcement learning and the second is centered on intelligence analysis and autonomous systems.  In other words, DARPA was working on building AI machines that understand the context and environment in which they operate, and over time allow them to characterize real world phenomena precisely and in real time.  Basically, DAPRA was developing AI-Gen 2 before the public had access to AI-Gen 1! Holy Explainable AI, Batman! 

DARPA released XAI seven public findings of the XAI program and kept an unknown number of classified secret findings! LOL. Holy keep it on the down-low, Batman! LOL!

  1. Users prefer systems that include explanations rather than just answers (no surprise)
  2. To improve end results the task must be sufficiently difficult that the XAI explanation helps (makes sense)
  3. User cognitive load to interpret explanations can hinder user performance (in other words there are times when too much explanation is a negative)
  4. XAI is more helpful in edge cases
  5. Explanation effectiveness can change over time
  6. XAI combined with an advisor helps (no kidding, LOL)
  7. XAI is effective for aligning mental models

What’s are the two takeaways?  Obviously, DARPA did not leak military secrets on the internet and only disclosed the minimum. However, DARPA did leave an interesting information trail in 2015 that had we followed it, could have been a monster opportunity.  The XAI 2015 article was a glimpse into the future and we might have forecasted the rise of Nvidia.  Holy unicorn, Batman!  Nvidia stock has since soared, and we could have, should have…

I end with a Russian proverb: trust but verify!

Until next time,

Yogi Nelson

Artificial Intelligence, Blockchains

What is SimTheory?

Namaste Yogis.   Welcome to the Blockchain & AI Forum, where your technology questions are answered!   Here no question is too mundane.  As a bonus, a proverb is also included.  Today’s question was submitted by Tracey, and she wants to know what is SimTheory?

Tracey, you came to the right place.  Tracey be prepared to go down under and learn about this fantastic project.  We start by introducing the SimTheory team. SimTheory is led by Chris and Michael Sharkey. They are based in Sydney, Australia, and it’s fair to say they are tech bros! LOL.  Now, let’s move on to their project.

As often happens in life we start with one idea and that leads to another.  In the case of SimTheory, it started as a podcast.  That’s how I discovered it.  The Skarkey bros say the idea was to create a cyber space to try AI models for the podcast show.  In other words, SimTheory is more than a podcast; SimTheory is a podcast and a cyber space testing ground.  That’s an awesome concept. Holy two for the price of one, Batman!

The Sharkey bros consider SimTheory as a place to create and share artificial intelligence (AI) agents.  The point is to empower anyone, and everyone, to deploy powerful open-source instruction-based AI agents to accomplish real goals, say the Sharkeys.  Take a moment to consider what the bros say: “we think of SimTheory as a website builder crossed with a social network for AI agents. SimTheory exist for a single purpose–to serve the This Day in AI (their podcast) community with a place to place to try different modals, modalities, fine tunes, instructions, and prompts.”

Let’s talk about the podcast.  The podcast is A+, five-stars, whatever rating scale you pick, it’s at the apex.  The show is weekly and new episodes are released every Monday.  It’s a long-form podcast, about 75 minutes per show.  Honestly the material can be technical especially in the beginning of your AI journey.  However, the tech bros are entertaining and with time, study, and effort anyone can understand the material.  Perhaps offering a few examples from their podcast would help.

On a recent episode they put Bland.ai to the test.  Bland.ai is an AI tech used to make voice calls that can react and respond in “near” time.  In the test they called local hardware and pet stores using Bland.ai and of course the results were a combination of hilarious, impressive, and a peak into the future.  The point was to test whether the human answering the phone call would notice the caller was an AI.  They also intend to prank their mom on an upcoming show.  LOL.

Obviously, the podcast has a serious side.  For instance, SimTheory puts products to the test and gives honest assessments.  They have offered non bias reviews of products from Google, Microsoft, OpenAi, sports betting with AI, and numerous others.  The Sharkeys also gave their assessment of President Biden’s executive order regarding AI.  All-in-all, terrific material from every angle.  Now a word about the AI agents you’ll discover on their website.

The categories are diverse, including but not limited to health, entertainment, art, comedy,  therapy, design, and education.  Under education, there is D.A.N. the mechanic.  In the entertainment category discover Tay, “Your Virtual Girlfriend” (who is a bit toxic LOL).  There is also an AI agent that does an amazing job of transforming images into video!

Time for a SimTheory podcast and leave with a proverb from Australia:  Traveler, there are no paths.  Paths are made by walking

Until next time,

Yogi Nelson

Artificial Intelligence, computer vision, Patents

IS SMOKEY BEAR USING ARTIFICIAL INTELLIGENCE TO FIGHT FOREST FIRES?

Namaste Yogis.   Welcome to the Blockchain & AI Forum, where your technology questions are answered. As a bonus, a proverb is also included!  Today’s question, submitted by Mike, a former Fire Chief, and he asks if Smokey Bear is using artificial intelligence to fight forest fires?

Mike, you came to the right place.  Let’s converse about how AI protects the forest using California as an example, but first we start with a definition.  According to CAL FIRE, California Fire Fighting Agency, wildfires are uncontrolled fires that rapidly spread through vegetation, such as forest, grasslands, etc. https://www.fire.ca.gov/  CAL FIRE notes wildfires can be natural occurrences or resulting from human activity.  Holy burning bush, Batman!

Wildfires in California are an enormous problem.  Between 2019 – 2022, wildfires caused more than $25B in property damage, millions of acres of forest were burned, thousands of homes were destroyed and hundreds of deaths!  Moreover, wildfires are increasing in numbers and intensity.  Bottom line—it’s an enormous problem. 

Firefighting is a mammoth human coordination challenge.  AI is, in part, a human coordination technology.  California created the Alert California Initiative to coordinate the wildfire challenge.  The initiative has numerous partners.  The purpose is to use AI technology to make data driven decisions regarding wildfires. 

Alert California had a predecessor–Cameras on Mountain Tops (CMT) program.  Program administrators wanted to fix the shortcoming of CMT.  What was the shortcoming?  Essentially, too much data!  CMT system covered 90% of high fire risk areas, as defined by CAL FIRE. The deluge of data generated from the 1,000+ cameras spread throughout the state generated 8 – 16M images per day!  CAL FIRE could not manage the data in time to take effective action.  A human coordination problem.  The solution?   Add artificial intelligence service partner, DigitalPath!

DigitalPath started by implementing computer vision to help humans deal with massive data sets.  Just imagine, cameras were picking up 100,000 smoke images per day.  California operations centers were inundated with 7K – 10K fire alert emails/text/voicemail per day.  The goal was one alert per fire.  Holy efficiency, Batman!

Using a combination of AI computer vision and algorithms, Alert California has dramatically augmented its ability to determine whether an image is relevant, timely, duplicative, etc. and to classify the importance. With AI, firefighters work more effectively, by for example, positioning equipment in ideal locations and of course, under safer conditions!  Here is how it works:

When the AI spots a potential fire on the Alert California network of cameras, the AI system alerts firefighters and provides a percentage of certainty and estimates the incident location.  If the incident is confirmed by trained personnel, firefighters respond. AI is also used to estimate what resources are required, location, and quantity.  Moreover, the AI is also deployed to map out evacuations!  Smokey Bear is ecstatic, Batman!

Ironically extinguishing fires early today means more fuel for blazing infernos tomorrow.  Think of it as a dam that burst at maximum capacity!  However, on the horizon there are positive developments.  For example, with computer vision 40% of all wildfires are being detected by the AI system prior to 911 alerts, and the number is increasing.  With AI, controlled fires become more manageable.  AI is also improving firefighters’ ability to identify where fires are likely to occur and/or when they are occurring.  Simulations are working faster thus increasing the reliability of predictive models to give warnings.  In other words, there is reason for optimism.

I conclude with an Estonian proverb: The stomach never gets full by only licking.

Until next time,

Yogi Nelson