The 2010s were a decade that saw huge developments in the field of artificial intelligence, with machines being built with the capacity to teach themselves how to play (and win at) strategy-based board games, take a stroll through the woods, recognize human faces, make medical diagnoses, and even drive aread more

Artificial intelligence developer DeepMind has produced an AI program that can best any human — and any game-playing program, for that matter — in a number of classic board games. This new AI, called AlphaZero, is based on an earlier program called AlphaGo, the AI that defeated Go champion Lee Sedol in 2016, but is now proficient in the games of chess, Go, and shogi. But unlike its Go-dominating predecessor, of which required extensive programming to achieve its successes, AlphaZero wasn’t programmed in its mastery of the three classic games; instead, it taught itself.
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Linda Moulton Howe returns with a great show and some great news! The Linda Moulton Howe report is returning to Dreamland. When our new site is deployed, Linda will return twice a month with Linda Moulton Howe’s Dreamland reports.

In this show, she shares her thoughts on what might happen if the ongoing official release of UFO videos causes the media to become curious about the abductions. Will they take the sensationalistic route and cause panic, or will a more measured approach be preferred? And SHOULD a more measured approach be taken, given the intensity of some of the reports?
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Elon Musk, Stephen Hawking and others have been warning about the dangers of weaponizing artificial intelligence. Meanwhile, the Pentagon and the Russian and Chinese militaries are already in an AI weapons arms race. The Pentagon has promised that it won’t release such weapons from human control, but whether or not they will learn to release themselves–or be programmed to under various circumstances–remains an unknown. Research projects in all three countries are deeply classified, but if one deploys autonomous intelligent weapons, then the others must do the same. The simple reason is that human control would then be too slow.
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