Lifeboat Foundation: Safeguarding Humanity
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Ravioli-shaped moon.

In a stunning set of close-ups, Pan, a diminutive moon of Saturn, looks like a floating ravioli lost in space, or a wrinkled flying saucer.

NASA’s Cassini spacecraft took the photographs Tuesday, passing within 15,268 miles of the moon, which has a diameter of about 20 miles, roughly the size of New York City.

Carolyn C. Porco, a visiting scholar at the University of California, Berkeley, who leads Cassini’s imaging team, was asleep when Cassini’s shots were transmitted to Earth. She first saw an image on Twitter.

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More news on the new #transhumanism book just out: To Be a Machine. http://www.signature-reads.com/2017/03/7-best-books-artificial-intelligence/ & https://undark.org/article/30154-2/ & http://bookforum.com/blog/17478

Decades ago, if you were writing about robots, it was probably in one of two forms: either a science fiction narrative, or something short about the handful of robots that could be purchased for home or recreational use. Now things have changed. Home devices can recognize and respond to speech, prosthetic technology has been dramatically advanced, and our very understanding of what constitutes a robot has significantly changed.

With these advances in technology have come other questions, some pertaining to the nature of intelligence, some relating to the lines between humanity and machines, and still more that use our research into robotics to explore what makes us human. So, with that in mind, here’s a look at a handful of the best books on artificial intelligence, dealing with questions of robots, body modification, the Singularity, and more. Crank up Flight of the Conchords’s song set after a robot uprising and dig in.

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The advantage of Daqri’s chip, the company says, is that it can create holograms without the need for complex optics. On a silicon wafer, a tiny grid of tunable crystals is used to control the magnitude and time delay, or phase, of reflected light shined at the surface of the chip from a laser. Software adjusts the crystals to create patterns of interference in the light, resulting in a three-dimensional light field.

In experiments, the team has used the chip to create solid objects by projecting holograms into containers of various light-activated monomers. It can currently make small objects, such as a paper clip, in about five seconds—a process that could take a normal 3D printer several minutes.

A startup called Daqri has technology that can print solid objects faster and also powers a new kind of head-up display.

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AI services like Apple’s Siri and others operate by sending your queries to faraway data centers, which send back responses. The reason they rely on cloud-based computing is that today’s electronics don’t come with enough computing power to run the processing-heavy algorithms needed for machine learning. The typical CPUs most smartphones use could never handle a system like Siri on the device. But Dr. Chris Eliasmith, a theoretical neuroscientist and co-CEO of Canadian AI startup Applied Brain Research, is confident that a new type of chip is about to change that.

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For the most part, the AI achievements touted in the media aren’t evidence of great improvements in the field. The AI program from Google that won a Go contest last year was not a refined version of the one from IBM that beat the world’s chess champion in 1997; the car feature that beeps when you stray out of your lane works quite differently than the one that plans your route. Instead, the accomplishments so breathlessly reported are often cobbled together from a grab bag of disparate tools and techniques. It might be easy to mistake the drumbeat of stories about machines besting us at tasks as evidence that these tools are growing ever smarter—but that’s not happening.

Public discourse about AI has become untethered from reality in part because the field doesn’t have a coherent theory. Without such a theory, people can’t gauge progress in the field, and characterizing advances becomes anyone’s guess. As a result the people we hear from the most are those with the loudest voices rather than those with something substantive to say, and press reports about killer robots go largely unchallenged.

I’d suggest that one problem with AI is the name itself—coined more than 50 years ago to describe efforts to program computers to solve problems that required human intelligence or attention. Had artificial intelligence been named something less spooky, it might seem as prosaic as operations research or predictive analytics.

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