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Category: robotics/AI – Page 2,767

Archinaut, The In-Space Robotic Manufacture and Assembly Technology

When we think about our species’ future in space, we often imagine a network of large space stations, on-orbit factories producing large transport vessels, and giant imaging systems gazing deep into the universe’s history. That future is achievable, but it requires we think about more than just lowering the cost of launching to space. The International Space Station, the largest structure humans have put in space thus far, took more than a decade, billions of dollars, and dozens of launches and spacewalks to complete. Despite an incredible result, this construction approach won’t scale to meet future demand. A future in space that includes residences, industrial facilities, and transport stations needs platforms that allow us to manufacture and assemble large space systems in space.

Zoltan Istvan — Cybrink Podcast #3

A new 45-min video podcast interview I did with Cybrink on #transhumanism, my #libertarian run for Governor, and the singularity:

Cybrink talks with Zoltan Istvan about transhumanism, artificial intelligence, the singularity and his run for Governor of California in 2018.

Like us on Facebook: www.facebook.com/cybrinkmedia
Follow us on Twitter: www.twitter.com/cybrinkmedia

Read more about Zoltan Istvan: www.zoltanistvan.com

Carnegie Mellon University AI beats top Chinese poker players

Carnegie Mellon University professor Tuomas Sandholm talks to Kai-Fu Lee, head of Sinovation Ventures, a Chinese venture capital firm, as Lee plays poker against Lengpudashi AI (credit: Sinovation Ventures)

Artificial intelligence (AI) triumphed over human poker players again (see “Carnegie Mellon AI beats top poker pros — a first “), as a computer sprogram developed by Carnegie Mellon University (CMU) researchers beat six Chinese players by a total of $792,327 in virtual chips during a five-day, 36,000-hand exhibition that ended today (April 10, 2017) in Hainan, China.

The AI software program, called Lengpudashi (“cold poker master”) is a version of Libratus, the CMU AI that beat four top poker professionals during a 20-day, 120,000-hand Heads-Up No-Limit Texas Hold’em competition in January in Pittsburgh, Pennsylvania.

Toyota shows robotic leg brace to help paralyzed people walk

Toyota is introducing a wearable robotic leg brace designed to help partially paralyzed people walk.

The Welwalk WW-1000 system is made up of a motorized mechanical frame that fits on a person’s leg from the knee down. The patients can practice walking wearing the robotic device on a special treadmill that can support their weight.

Toyota Motor Corp. demonstrated the equipment for reporters at its Tokyo headquarters on Wednesday.

There’s A 47% Chance A Robot Will Steal Your Job

Almost half of our jobs will vanish by 2033 due to robotics and computer automation, according to an Oxford University study. Another study commissioned by the real-estate services company CB Richard Ellis predicts that half the occupations we have now will disappear by 2025.

So who can expect pink slips during the Rise of the Machines?

Predictably, people who work on assembly lines, plantations and construction sites will be replaced by robots that don’t sleep, get sick or take smoke breaks.

This college dropout says he’s cracked the crucial component for self-driving cars

Most companies working on autonomous vehicles consider lidar sensors mandatory for vehicles to safely navigate alone and distinguish objects such as pedestrians and cyclists. But the best existing sensors are bulky, extremely expensive, and in short supply as demand surges (see “Self-Driving Cars’ Spinning Laser Problem”). Alphabet and Uber have both said they were forced to invent their own, better-performing sensors from scratch to make self-driving vehicles viable. Luminar hopes to serve automakers that would rather not go to that effort.

Russell doesn’t have a college degree—he dropped out of Stanford in return for a $100,000 check under a program started by venture capitalist Peter Thiel to encourage entrepreneurship. But Russell says a (short) lifetime of tinkering and building with electronics helped him design a new lidar sensor that sees farther and in more detail than those on the market.

AI picks up racial and gender biases when learning from what humans write

Artificial intelligence picks up racial and gender biases when learning language from text, researchers say. Without any supervision, a machine learning algorithm learns to associate female names more with family words than career words, and black names as being more unpleasant than white names.

For a study published today in Science, researchers tested the bias of a common AI model, and then matched the results against a well-known psychological test that measures bias in humans. The team replicated in the algorithm all the psychological biases they tested, according to study co-author Aylin Caliskan, a post-doc at Princeton University. Because machine learning algorithms are so common, influencing everything from translation to scanning names on resumes, this research shows that the biases are pervasive, too.

“Language is a bridge to ideas, and a lot of algorithms are built on language in the real world,” says Megan Garcia, the director of New America’s California branch who has written about this so-called algorithmic bias. “So unless an alg is making a decision based only on numbers, this finding is going to be important.”

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