When an AI encounters a drone to detect the "star of the sea" hand arrives

The AI ​​technology will provide support for UAVs, enabling them to draw routes based on what is detected in the surrounding water environment, looking for signs of microbial life. Scientists hope that this move can find the life community in the icy ocean of Europa.

In September 2016, NASA's Hubble Space Telescope discovered a huge plume that was ejected from the surface of the “Coach 2”, up to 125 miles (201 km). Since then, the experts have been working hard to sample the ocean surface of the “Coach 2” without having to drill a few miles of ice. They also believe that water is also present under the crust of other ice-borne satellites, such as Dione and Dionysius of Ganymede 3.

However, experts also know that exploring the “Iopod 2” and other satellites by sending drones is a challenging matter: the communication between the Earth’s control center and drones may be interrupted. However, they said that these drones are autonomous and can make their own decisions in real time.

Steve Qian of the NASA Jet Propulsion Laboratory (JPL) stated, “According to the exact mission concept we are considering, the self-contained underwater vehicle used to explore the ocean will automatically sail for several days to several months. In the meantime, they must autonomously manage the available resources, explore the almost unknown environment, including navigation to a single insertion point, and serve as a communication device that communicates with the outside world."

In fact, in the process of human exploration of the universe, the use of artificial intelligence has always existed. In 2015, Australian National University researchers used artificial intelligence to assist in astronomical observations, selecting objects from thousands of galaxies, and screening turbulent and chaotic galaxies for research. The use of artificial intelligence technology to assist astronomical observations can ease the hard work of astronomers. Especially spectral analysis, scientists spend a lot of time in spectral analysis, and the information behind the spectrum is astronomical.

After the intervention of artificial intelligence technology, spectral analysis can be completed by a smart computer. The artificial neural network is embedded in the analytical procedures of the Australian National University of Australia 2.3 meters and Anglo-Australian telescope, and the efficiency has also been improved since automation was popularized. Artificial neural network can establish a set of interconnected systems, similar to the working mechanism of neurons, according to different celestial signals for screening and classification. This is different from traditional computer programs. They can adapt and learn and further enhance their ability to assist astronomical observations. The current artificial intelligence system is learning to analyze past observations and involves nearly 4,000 galaxy spectra.

Some scientists believe that artificial intelligence will replace human exploration and planetary development in the future. The environment of the universe and other planets is too harsh, minerals and structures are too far away from the earth, too few elements make up the organism, and the navigation process is too long. At the same time, although human beings can live in space stations on other planetary orbits and under the planet in the short term, they cannot survive long-term supply from the earth.

(Original title: NASA develops AI software to help drones explore life signs in outer space)