Please rewrite this so it can be used to generate a video: A University of Toronto team created an algorithm to organize telescope data to weed out interference.
The scientists claim this will help the search for an advanced extraterrestrial civilization sending “technosignatures.”
The algorithm found eight new radio signals from five different stars.
A new machine learning-operated algorithm just detected eight new radio signals coming from five stars that are 30 to 90 lightyears away. While the signals probably aren’t from extraterrestrials, we also don’t know for sure.

Maybe the aliens are communicating using “technosignatures” and we’re just now finding them for the first time.

The scientists behind the algorithm, from the University of Toronto, say they’ve “streamlined the search for extraterrestrial life by using a new algorithm to organize the data from their telescopes.” Using machine learning, the algorithm weeds out human-made interference to allow scientists to focus on real signals from deep space and then find patterns in that information that could show they came from technologically generated signals.

“We need to distinguish the exciting radio signals in space from the uninteresting radio signals from Earth,” Peter Ma, a Toronto undergraduate student the lead author on the new paper, which appears in Nature Astronomy, says in a news release.

Of course, even though the signals appear the way the scientists expect extraterrestrial signals to look, they say they aren’t yet convinced aliens are behind them. But they’re hoping to see the same signals again to increase the chances that these have some extra meaning.

The scientists aren’t giving up and hope to focus the new algorithm on an even larger set of radio telescopes.

“With the help of artificial intelligence,” Cherry Ng, research associate at Toronto’s Dunlap Institute for Astronomy and Astrophysics, says in the news release, “I’m optimistic that we’ll be able to better quantify the likelihood of the presence of extraterrestrial signals from other civilizations.”

Video Script:

Do aliens exist? It’s a question that has fascinated humans for centuries. While we haven’t yet found concrete proof of extraterrestrial life, a team of scientists from the University of Toronto has created an algorithm that may help us in the search.

Using machine learning, the team developed an algorithm to organize telescope data and weed out human-made interference, allowing scientists to focus on real signals from deep space. The algorithm has already found eight new radio signals from five different stars, which could be the first signs of extraterrestrial life.

The signals have been dubbed “technosignatures” because they could be evidence of a technologically advanced civilization. While the scientists aren’t yet convinced that aliens are behind these signals, they believe that the algorithm will help them to better quantify the likelihood of the presence of extraterrestrial signals from other civilizations.

Peter Ma, an undergraduate student at the University of Toronto and lead author of the study, says, “We need to distinguish the exciting radio signals in space from the uninteresting radio signals from Earth.” The algorithm does just that, allowing scientists to focus on the signals that could be of extraterrestrial origin.

Cherry Ng, a research associate at the Dunlap Institute for Astronomy and Astrophysics, is optimistic about the potential of the algorithm. “With the help of artificial intelligence, I’m optimistic that we’ll be able to better quantify the likelihood of the presence of extraterrestrial signals from other civilizations,” she says.

The search for extraterrestrial life continues, and with the help of machine learning, we may be one step closer to finding it.