China is well known for its long-term vision.
In 2016 AI program created by Google won the GO game while competing with the world best GO player. The GO game was invented in China about 4000 years ago and losing this game to the US was not an ordinary event. Since then, AI became a priority in China plans.
In 2025 China plans to catch up with the US and in 2030 become the world leader in AI.
USA is currently ahead in AI technology. But China government heavily supports any innovations and experimentations in that area.
China already is leading in e-commerce. No cache or checks or credit cards. All transactions are done with a regular phone.
Self-driving cars? China is building a huge new city, size of Chicago, filled with the censors, ready for AI-driven transportation.
Can we accelerate our development in the US? Yes! With the Development Factory!
What is the Development Factory? Just imaging that you come up with a good idea, no kidding, really good idea for your project. But the number of technical details on the way to implementation will slow you down … and soon you abandon your project. Now think that you have a big brother. (No, not that “Big Brother”.) A good mentor who can talk to you and quickly advise you in any and all directions.
One more step and we describe this mentor as a Conversational Semantic Decision Support (CSDS), a set of AI-based services that is capable to converse with you and turn your modest development ability into Development Factory.
Another use case is a home project development (https://dabhand.us). A user approximately knows what s/he wants and AI-assistant walks a user through each step optimizing the choices.
The message from 2040: https://itofthefuture.com/book/message.pdf – is not a complete Si-Fi. This might look that way about 20 years ago, when it was written. But today, AI conversation is reality.
Google went even further creating a special language for such conversations with a scary thought that AI can soon become sentient, will be able to really think and feel.
See more here: https://www.zerohedge.com/technology/google-engineer-placed-leave-after-insisting-companys-ai-sentient
Our approach is more modest. While providing AI conversation, we keep a leading role to a human. The Conversational Semantic Decision Support is based on traversing semantic graph created on-the-fly during human-computer interaction.
Artificial Intelligence as well as human intelligence reveals itself in recognizing associations, connections between multiple factors. AI presents these connections as graphs or enormous-size networks.
Here is another advantage that belongs to the USA and makes US superior in many AI-related fields. I am talking about Graphical Processing Units, GPU, the best tools created to perform such graph operations. Initially created for video cards, then used for games, the GPU by Nvidia is quickly becoming the major hardware in AI platforms.
AI enters all or almost all sides of our lives, starting from medical and including farming fields.
For example, a Ukrainian startup, Esper Bionic Hand, features a cloud-hosted AI platform to develop next-gen bionic hands, lightweight, with wide range of grips and individually articulating fingers. See “the best tech for amputees” link below.
AI is transforming agriculture with predictive maintenance and drastically reducing labor cost. AI and genomics are reshaping farming, building a network of hyper-efficient indoor farms.
Robots can build and manage space stations, fight fires and work in dangerous places. Most of robots are designed today for specific purposes. But what if something unexpected happens? Adaptive mobile robot system with knowledge-driven architecture combines knowledge engineering with robotics technology to improve robot-to-robot and robot-to-human conversations. The system helps robots to get beyond pre-built skills and develop adaptive behavior for collaborative robot teams.
The invention describes a use case when a robot system sent to clear the mine field and get across unexpected situation, for example an unknown type of a mine.
AI conversations with human-experts provide on-the-fly situational scenarios as the result of the brainstorming. The system converts scenarios into a set of models and execution services.
Ability for AI conversations is especially important in military applications, where under adversarial conditions, AI systems can easily be fooled. Ability to sharing data and AI brainstorming with human-experts become crucial.
So far, USA is leading in all these fields. There are still untapped resources that can increase the leaderships.
AI developers heavily use Java and Python while developing applications. In both cases performance of the applications can be drastically improved.
-How?
Performing source code directly in hardware instead of software interpretation. Just imaging that GPU, which uses Java libraries to create and analyze connections of a graph, performs Java commands in hardware or firmware.
This is hundred times acceleration of the performance!
On the top of that, Java tools, like MySQL database and application servers like JBoss and Tomcat, would also greatly accelerate their performance in the GPU clouds, like PaperSpace. (Hope that smart folks from Nvidia and PaperSpace are reading these notes.)
Ukraine developers created another sample of a critical AI application by connecting data from a network of Starlink satellites with a network of commercial drones and a network of cannons. This is the first time when such level of robotics is used in a military conflict to defend troops against artillery attacks. Enemy artillery is quickly located and becomes a target as soon as it starts shelling. The current several-minute performance of the application can be improved to several seconds with the GPU capable to execute Java in the hardware. This might allow even intercept the artillery fire, which would make the difference between the life and death for troops and civilians.
Please read the article and provide your opinion, which is extremely important to me:
– What do you think about the subject?
– Did I underestimate China’s efforts?
– Do we (USA) have more cards to play in this game?
– How can the latest partnership between Nvidia and Siemens help?
– Do you think there is a space for a cautious collaboration between the US and China?
Celebrating Independence Day, I cannot help, but think that somehow, we managed to lose our energy independence.
One of the energy-richest countries, we pay others for gas and oil.
Some of our money can be used by another country to buy the latest military equipment that we left in Afghanistan and then to use this equipment against our older weapons sent to Ukraine.
– Is there a scenario where the USA can lose our technological superiority?
– What can be done to prevent such a scenario and to keep our leadership in the AI competition, maybe the most important competition of this century?