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We'll show you what makes a great WordPress theme -- and how to choose an option to get the best results for your website.
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Here's a use of AI that appears to do more good than harm. A pair of astronomers at the European Space Agency (ESA) developed a neural network that searches through space images for anomalies. The results were far beyond what human experts could have done. In two and a half days, it sifted through nearly 100 million image cutouts, discovering 1,400 anomalous objects.
The creators of the AI model, David O'Ryan and Pablo Gómez, call it AnomalyMatch. The pair trained it on (and applied it to) the Hubble Legacy Archive, which houses tens of thousands of datasets from Hubble's 35-year history. "While trained scientists excel at spotting cosmic anomalies, there's simply too much Hubble data for experts to sort through at the necessary level of fine detail by hand," the ESA wrote in its press release.
After less than three days of scanning, AnomalyMatch returned a list of likely anomalies. It still requires human eyes at the end: Gómez and O'Ryan reviewed the candidates to confirm which were truly abnormal. Among the 1,400 anomalous objects the pair confirmed, more than 800 were previously undocumented.
Most of the results showed galaxies merging or interacting, which can lead to odd shapes or long tails of stars and gas. Others were gravitational lenses. (That's where the gravity of a foreground galaxy bends spacetime so that the light from a background galaxy is warped into a circle or arc.) Other discoveries included planet-forming disks viewed edge-on, galaxies with huge clumps of stars and jellyfish galaxies. Adding a bit of mystery, there were even "several dozen objects that defied classification altogether."
"This is a fantastic
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The streamer's hit show about mental health returns this week.
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Four chatbots agree on which team will win. I also got predictions on the coin toss, the halftime show, the most expensive ads, the national anthem and viewership numbers.
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NEW RESOURCES Maps Mania: Mapping ICE Activity. "People Over Papers is a community-driven map showing reports of Immigration and Customs Enforcement (ICE) activity. People Over Papers lets anyone submit sightings of possible […]
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In one 30-second clip, you've caught someone breaking the law-but you might also have broken one yourself.
Smart cameras are everywhere now—mounted on porches, tucked under eaves, perched on fences, and watching over driveways, garages, and balconies. They're cheaper, easier to install, and produce sharper video than ever. But with that convenience comes a degree of legal uncertainty. Can you record anything your camera sees? What about what it hears? Can a neighbor make you take it down? And what if you rent instead of own?
We'll break down what the law actually says about surveillance at home—what's legally allowable, where things get complicated, and how to protect your home without accidentally violating someone else's privacy.
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