--- title: "AI Is Now Identifying Killer Asteroids Before They Approach Earth" description: "A new AI algorithm has detected, for the first time ever, a killer asteroid that is slated to fly by Earth — and it won't be the last." date: "2023-08-08" modified: "2023-08-08" authors: - name: "Noor Al-Sibai" job_title: "Senior Staff Writer" link: "https://futurism.com/authors/nooralsibai" url: "https://futurism.com/the-byte/ai-identifying-killer-asteroids" categories: - "Off-World" - "Space" tags: - "algorithms" - "asteroids" - "the digest" - "vera rubin" --- # AI Is Now Identifying Killer Asteroids Before They Approach Earth ![Getty / Futurism]() ## Detection A new artificial intelligence algorithm has detected, for the first time ever, a killer asteroid slated to fly by Earth — and it won't be the last. Known as HelioLinc3D, **t**he algorithm — created specifically for the still-under-construction Vera Rubin Observatory in Northern Chile — has already identified one "potentially hazardous asteroid" or PHA that human eyes had missed, as the [*New York Times* reports](). Dubbed 2022 SF289, the roughly 600-foot-long PHA is going to approach Earth within 140,000 miles, which is about half the distance to the Moon (i.e. a little too close for comfort). This asteroid's relatively-small stature makes its algorithmic discovery even more unprecedented because (as the report notes) asteroids under 500 feet are both harder to detect *and* capable of wiping out entire cities or countries if they hit the Earth. The good news is: This asteroid isn't likely to hit our planet any time soon. But the AI's ability to find it — after the humans who run the NASA-funded Asteroid Terrestrial-impact Last Alert System (ATLAS) system missed it — is absolutely a big deal. Especially given that the Rubin Observatory hasn't even unleashed its full potential yet. As the *Times* notes, the observatory's giant mirror and camera will soon be able to capture images of almost the entire night sky, and it'll do so [every three nights](). That's a massive amount of data to sift through, and without the algorithmic help of programs like HelioLinc3D, it would be, well, impossible for even a massive team of humans to catch everything. ## Burden of Proof Ari Heinze, a University of Washington researcher who was the principal developer of the algorithm, told the *Times* that the proof of the program's efficacy is in the pudding. "By demonstrating the real-world effectiveness of the software that Rubin will use to look for thousands of yet-unknown potentially hazardous asteroids," [Heinze said in a UW statement](), "the discovery of 2022 SF289 makes us all safer." While conventional telescopes require four images *per night* to definitively detect asteroids, Rubin and HelioLinc3D only need two, and as the report notes, don't even need those two taken on consecutive nights. Given how powerful the observatory-algorithm combo already is without even being finished, it's no doubt going to be a game-changer. Take it from Queen’s University Belfast astronomer Meg Schwab, a proponent of the tech who didn't work on it, and who told the *Times* that the algorithm is not only going to find asteroids but "all moving objects" that fly through our night sky. "It’s going to rewrite the solar system," Schwab declared — and given this bold first example, she's probably not being hyperbolic. **More on asteroids:** [*A Majority of Americans Don’t Care About Mars, Want NASA to Defend Against Killer Asteroids*]() ## Author At Futurism, I've often been drawn to unpacking the narratives that underlie technological, scientific and medical progress, with a special interest in areas of conflict and ambiguity that end up setting agendas and steering the fates of both elites and the hoi polloi. I'm a committed generalist, but I often find myself returning to work involving NASA and the private space sector, the effects of AI on media and society, and the mechanics of the pharmaceutical industry, with a specific focus on the spread of GLP-1 drugs like Ozempic and Wegovy. Prior to Futurism, I worked for publications ranging from Media Matters and Truthdig to Raw Story and Bustle. I'm also the author of "Myspace Scene Queens," a 2024 title in Instar Books' acclaimed "Remember the Internet" series. My work at Futurism has been cited by outlets including the New Yorker, Slate, Nieman Lab, the Verge, the MIT Technology Review, the Sunday Times, and the Daily Beast. I grew up in North Carolina, attended the University of North Carolina at Asheville, and now live in Brooklyn, New York. In my free time, I'm an avid reader and music fan; you can probably find me at a local poetry reading, concert, underground rave, or DJ set. I'm the proud parent of an ineffable orange cat named Mee-Mow. ### Author social links [Bluesky]()