Lifeboat Foundation

This system applies subtle stylistic techniques gleaned from a musician’s work to samples of another artist, suggesting how one musician would likely have played another’s music.

Douglas Eck of Google’s Magenta project talks about how machine learning can help artists make professional-sounding (if meandering) music.

When one thinks of Mark Twain, one thinks of folksy wit, Huckleberry Finn, Tom Sawyer and the Mississippi River. Twain’s work immortalized the rapidly changing United States of the 1800s. But in his personal life, Twain often preferred the future to nostalgia, supporting women’s suffrage and civil rights, and frequently being contemptuous of what he considered to be the absurd and corrupt values of the past. He harbored a long running fascination with technology and new gadgets, and frequently invested in the latter — albeit with spotty success, at best. But Twain cemented his becoming an honorary futurist via his long friendship with inventor and Mad-scientist archetype Nikola Tesla.

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How will our relationship to technology evolve in the future? Will we regard it as something apart from ourselves, part of ourselves, or as a new area of evolution? In this new video from the Galactic Public Archives, Futurist Gray Scott explains that we are a part of a technological cosmos. Do you agree with Scott that technology is built into the universe, waiting to be discovered?

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In Unexpected Futurist, we profile the lesser known futurist side of influential individuals. This episode’s unexpected time-traveler: Benjamin Franklin. Ben Franklin was an inventor, observer, electricity pioneer, and serial experimenter, so it’s not entirely surprising he looked to the future. But it turns out he was looking to the far, far future. In 1780 he wrote a letter to a friend in which he lamented that he was born during the dawn of science.

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How can we tell if a drink is beer or wine? Machine learning, of course! In this episode of Cloud AI Adventures, Yufeng walks through the 7 steps involved in applied machine learning…

The world is filled with data. Lots and lots of data. Everything from pictures, music, words, spreadsheets, videos and more. It doesn’t look like it’s going to to slow down anytime soon. Machine learning brings the promise of deriving meaning from all of that data.

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After all everything in this universe is just music!!

Unlike other festivals, everyone at Burning Man is expected to participate. With no vendors, attendees have to rely on each other’s skills and their own packing to survive. Drugs, art, music and orgy tents encourage Burners to push boundaries, just as start-ups defy laws and cultural norms.

LEATHERMAKING is an ancient craft. The oldest leather artefact found so far is a 5,500-year-old shoe from a cave in Armenia, but paintings in Egyptian tombs show that, 7,000 years ago, leather was being turned into all manner of things, from sandals to buckets to military equipment. It is a fair bet that the use of animal skins for shelter and clothing goes back hundreds of thousands of years at least.

Leathermaking is also, though, a nasty business. In 18th-century London the soaking of putrefying hides in urine and lime, to loosen any remaining flesh and hair, and the subsequent pounding of dog faeces into those skins to soften and preserve them, caused such a stench that the business was outlawed from the City proper and forced downwind and across the river into Bermondsey. In countries such as India and Japan, the trade tainted people as well as places and was (and often still remains) the preserve of social outcasts such as Dalits and Burakumin.