The hottest next dark blue moment is coming, from

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The next "deep blue" moment is coming: the autonomous UAV competition provides an opportunity for technology to transition to reality

in 1997, IBM's "deep blue" computer defeated chess master Gary Kasparov in a chess game

this is a historic moment, marking the end of the era when human beings can defeat machines in complex strategic games

nowadays, () can defeat humans not only in chess competitions, but also in almost all existing number games. However, although we are beginning to see that AI has made some progress in the proof of concept of car racing, table tennis and even basketball, in real sports, AI is not close to beating human beings

doing so will require a major technological leap from today's most advanced AI technology to a level where AI can interact with and understand the real world and unknown conditions (including entities from other racing cars that are sensitive and economical mechanical experimental methods or participants) --- navigating game strategies, tracks, rules and other complex challenges at the same time

would you be surprised to learn that the next "deep blue" moment of machine human interaction may cross this threshold later this year

Lockheed Martin (tin, American aerospace company) is cooperating with the drone Racing League to invite a team composed of students, programmers and researchers to develop, test and compete high-speed, automatic flying UAVs, which do not need human intervention or navigation pre programming

this project is called alphapilot, which provides more than $2million in cash rewards to anyone who comes up with the smartest and fastest AI

The alphapilot team will start selecting in April. NVIDIA, which is in the leading position in the field of computing by pressing the button on the swimming weight in artificial intelligence, will provide its most advanced self driving machine solution Jetson AgX Xavier for the contestants, and the UAV racing alliance will provide standardized competition UAVs for the contestants

The alphapilot team will gather later this year to compete fiercely on the new AI robot racing track of the UAV racing alliance through a complex, three-dimensional, video game inspired track. At the end of the AI robot competition season, the fastest drone will face off with the drone series of Allianz, the world champion of the UAV racing alliance in 2019

why did you choose to compete in the field of unmanned aerial vehicles? This is an excellent initial testing ground for AI innovation and autonomous UAV technology. The UAV racing alliance is called the "future competition", and its followers include tens of millions of UAV enthusiasts, game players and technology enthusiasts around the world. It also blurs the line between numbers and reality, which will help alphapilot teams transition their technology from virtual test environments to real-world deployments

the team of sertac Karaman, a professor at Massachusetts Institute of Technology (MIT), has been studying the autonomous UAV competition for the past few years, and has developed a simulator software to allow alphapilot contestants to qualify

Professor Karaman said: "Lockheed Martin and the UAV racing alliance have brought together a large number of experts to provide the team with the right combination of hardware and software tools, as well as virtual and real-world training opportunities to specifically test their code. I firmly believe that this challenge will greatly accelerate the development of autonomous technology for agile robot vehicles - for example, robots that save lives through autonomous agile mobility in the event of traffic accidents. ”

the application of self driving UAV obviously goes far beyond the scope of high-speed competition. Automatic flight technology is expected to completely change our approach to humanitarian assistance, disaster relief and other situations that pose a potential threat to human security but require prompt and decisive action. Imagine that in such a world, autonomous drones can be deployed immediately to assess the disaster situation in natural disaster areas - even the most remote areas - to determine needs and deploy the right humanitarian supplies in near real time. Or, in this world, self piloting drones can detect forest fires at the beginning to prevent them from completely destroying lives or property

this future is not completely unimaginable. Artificial intelligence has enabled incredible technology to be applied to space travel. Take NASA's latest Mars Lander insight as an example. When insight arrived on the red planet in November last year, the communication time delay of returning to earth was about 8 minutes. This means that the spacecraft must perform its flight, descent and landing alone - also known as "7-minute terror". Lockheed Martin's Sikorsky company has flown an independent research helicopter for five years - we imagine that one day, this technology will appear on all commercial and military helicopters as a "virtual second pilot"

Lockheed Martin has redefined the future of flight in the past 100 years - creating groundbreaking innovations such as automatic helicopters and supersonic stealth and human space travel. In the past few years, the UAV racing alliance has subverted the sports industry in the intersection of technology, entertainment and games. The autonomous system supporting artificial intelligence that will be developed by teams like alphapilot is expected to overturn our future in a more incredible way

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