Artificial city

‘Artificial intelligence technology could prove the existence of extraterrestrial life’, say UFO experts

Ufologists believe that artificial intelligence will be able to identify if the flying objects are a bird or an airplane… or even something unknown on our planet.

Avi Loeb, chairman of Harvard’s astronomy department, says the human race will be able to determine if extraterrestrial visitors are wandering among us with AI equipment that can track the correct data.

The author of Extraterrestrial plans to build 100 specialized telescopes equipped with wide-angle lenses, infrared technology, radio receivers and an audio system to help identify UFOs and monitor other planets as part of the Galileo project.

The privately funded project aims to “bring the search for extraterrestrial technological signatures of extraterrestrial technological civilizations from accidental or anecdotal observations and legends into the mainstream of transparent, validated and systematic scientific research.”

100 specialized telescopes equipped with wide-angle lenses, infrared technology, radio receivers will be built as part of the Gallileo project

The technology will be used to search for physical objects, rather than radio signals like the long-running Search for Extra-Terrestrial Intelligence (SETI) institute and Leob says they can use AI to identify if objects are from the Earth or extraterrestrial neighbours.

He told Sifted: “We will have an artificial intelligence system that will identify if we are looking at a bird, a drone, an airplane or something else.”

Tzvi Weitzner, co-founder and chief strategy officer of Tel Aviv-based Timbr, revealed that her company’s data scientists were working on the project’s algorithm that would identify objects.

Abraham Loeb, professor at Harvard University
Harvard University professor Avi Loeb thinks artificial intelligence is key to identifying extraterrestrial visitors

He said: “Using AI to analyze images is widely known, but in the case of Galileo it’s not as simple as training a machine learning algorithm to identify objects, simply because that we don’t know what we’re looking for, or more accurately, we’re looking for objects that aren’t part of an existing image catalog that would be used to train a machine learning algorithm.

“I expect that the algorithms used to analyze the images will generate a continuous stream of unexplained objects, described with a data set from observations, which will require classification by characteristics (size, shape, color, location, time , source, etc).

Mysterious flying objects can be identified thanks to an AI algorithm

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“Data scientists will easily be able to discover and select the data needed to create and train new machine learning algorithms that will further reduce false positives and ultimately provide a ‘clean’ list of observations that cannot be explained as known objects.

The news comes just weeks after Leob claimed that the “best chance” humans have of proving alien life is to search for city lights on other planets.

The theoretical physicist drew inspiration for his theory from an interview with International Space Station Commander Terry Virtz who observed the glow of artificial lights across the night side of the Earth.

He wrote on Medium: “Our best shot at imaging city lights outside the solar system is around the closest star to the Sun, Proxima Centauri, a red dwarf 4.25 light-years away. “