According to the Daily Star, scientists are certain that “artificial intelligence technology can confirm the presence of alien life.”
AI, according to UFO experts, will be able to tell if an unexplained object is a bird, an airliner, or even something unknown to humans.
According to Harvard astronomy department chair Avi Loeb, following correctly inputted data may soon be able to establish if there are aliens among us.
As part of Project Galileo, the author of Alien aims to develop 100 specialized telescopes with wide-angle lenses, infrared technologies, radios, and an audio system to aid identify UFOs and track distant planets.
“Make the hunt for alien technical signs of extraterrestrial technological civilizations from casual sightings and stories into the mainstream of transparent, verified, and systematic scientific inquiry,” according to the privately sponsored effort.
The technology will be used to look for actual items rather than radio signals, as is the case with the long-running Search for Extraterrestrial Intelligence Institute (SETI), and Loeb claims that AI will be able to discern if the objects are from Earth or extraterrestrial neighbors.
In an interview with Sifted, the professor claimed, “We will have an artificial intelligence system that will discern whether we are looking at a bird, a drone, an airplane, or anything else.”
Zvi Weizner, co-founder and chief strategy officer of Timbr in Tel Aviv, responded by saying that his company’s data scientists are working on an algorithm for the project that would detect unusual things.
Although AI is extensively used for image analysis, it is not as straightforward as constructing a machine learning algorithm to recognize objects in the instance of Galileo.
The bottom line is that it’s unclear what’s being looked for, or, more precisely, a search for items that aren’t already in the image collection and may be used to train a machine learning algorithm.
“I anticipate that image analysis algorithms would provide a continual stream of inexplicable objects represented by a collection of observational data, necessitating categorization by features” (size, shape, color, location, time, source, etc.). “Data scientists will be able to quickly find and pick the data they need to construct and train new machine learning algorithms that will cut false positives even further and eventually give a “clean” list of observations that cannot be interpreted as known objects,” said Avi Loeb.
The finding comes just weeks after Loeb stated that looking for indicators of extraterrestrial life in the form of glows on other planets is the “greatest opportunity” for humanity to confirm the presence of alien life. An interview with International Space Station commander Terry Wirtz, who noticed the glow of artificial lights on the night side of the Earth, inspired the theoretical physicist to develop his idea.
“Our greatest hope for picturing city lights outside the solar system
is around the Sun’s closest star, Proxima Centauri, a red dwarf situated 4.25
light-years distant,” he said on Medium.
Source: anomalien.com
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