Astronomers have discovered 20 more Saturn moons, boosting the ringed planet’s tally of known satellites to 82 — three more than Jupiter.
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A tapeworm is essentially a very long, parasitic towel with a grappling hook for a head. It attaches itself to the internal organs of its host with its fiendish head spines, and it absorbs nutrients through its tagliatelle-shaped body. Once fastened, it does very little. It has no mouth or gut, no circulatory or respiratory systems. Its sparse nerves culminate in a cluster that could barely be called a brain. And yet, this very simple creature can manipulate the minds of more complex animals—even without infecting them.
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New research from the Google-owned firm hints that AI may be a better way of assessing if someone is at risk of acute kidney injury. But there are still questions about how it handles patient data
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Last week Google released several thousand deepfake videos to help researchers build tools that use artificial intelligence to spot altered videos that could spawn political misinformation, corporate sabotage, or cyberbullying.
Google’s videos could be used to create technology that offers hope of catching deepfakes in much the way spam filters catch email spam. In reality, though, technology will only be part of the solution. That’s because deepfakes will most likely improve faster than detection methods, and because human intelligence and expertise will be needed to identify deceptive videos for the foreseeable future.
Deepfakes have captured the imagination of politicians, the media, and the public. Video manipulation and deception have long been possible, but advances in machine learning have made it easy to automatically capture a person’s likeness and stitch it onto someone else. That’s made it relatively simple to create fake porn, surreal movie mashups, and demos that point to the potential for political sabotage.
There is growing concern that deepfakes could be used to sway voters in the 2020 presidential election. A report published this month by researchers at NYU identified deepfakes as one of eight factors that may contribute to disinformation during next year’s race. A recent survey of legislation found that federal and state lawmakers are mulling around a dozen bills to tackle deepfakes. Virginia has already made it illegal to share nonconsensual deepfake porn; Texas has outlawed deepfakes that interfere with elections.
Tech companies have promoted the idea that machine learning and AI will head off such trouble, starting with simpler forms of misinformation. In his testimony to Congress last October, Mark Zuckerberg promised that AI will help it identify fake news stories. This would involve using algorithms trained to distinguish between accurate and misleading text and images in posts.
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