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Japan’s space agency wants to create a moon base with the help of robots that can work autonomously, with little human supervision.

The project, which has racked up three years of research so far, is a collaboration between the Japan Aerospace Exploration Agency (JAXA), the construction company Kajima Corp., and three Japanese universities: Shibaura Institute of Technology, The University of Electro-Communications and Kyoto University.

Recently, the collaboration did an experiment on automated construction at the Kajima Seisho Experiment Site in Odawara (central Japan).

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Andrew Yang gives a dynamite interview on automation, UBI, and economic solutions to transitioning to the future.


Andrew Yang, award winning entrepreneur, Democratic Presidential candidate, and author of “The War on Normal People,” joins Ben to discuss the Industrial Revolution, Universal Basic Income, climate change, circumcision, and much more.

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Next month, however, a team of MIT researchers will be presenting a so-called “Proxyless neural architecture search” algorithm that can speed up the AI-optimized AI design process by 240 times or more. That would put faster and more accurate AI within practical reach for a broad class of image recognition algorithms and other related applications.

“There are all kinds of tradeoffs between model size, inference latency, accuracy, and model capacity,” says Song Han, assistant professor of electrical engineering and computer science at MIT. Han adds that:

“[These] all add up to a giant design space. Previously people had designed neural networks based on heuristics. Neural architecture search tried to free this labor intensive, human heuristic-based exploration [by turning it] into a learning-based, AI-based design space exploration. Just like AI can [learn to] play a Go game, AI can [learn how to] design a neural network.”

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A fringe group of scientists and tech moguls think they’re closing in on the fountain of youth. Here’s everything you need to know:

What is biohacking? Silicon Valley is built on the idea that technology can optimize, or “hack,” any aspect of our lives — so why not the human life span? Until recently, anyone hawking pills or treatments that promised to restore youthfulness was considered a quack, yet a growing number of “transhumanists” are convinced that, in time, human beings can be transformed through bioengineering, and that aging will be curable just like any other malady.

In light of rapid gains in gene editing, nanotechnology, and robotics, some futurists expect this generation’s biohackers to double their life spans. Aubrey de Grey, a regenerative medicine researcher backed by tech mogul Peter Thiel, insists that someone alive today will live to be 1,000. “It’s extraordinary to me that it’s such an incendiary claim,” de Grey says. Korean physician and financier Joon Yun has offered two $500,000 prizes to anyone who can restore a test animal’s youthful heart rate and extend its lifespan by 50 percent. For humans, the mortality rate at age 20 is 0.001 percent, Yun figures, “so if you could maintain the homeostatic capacity of that age throughout your life, your average life span would be 1,000.”

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What goes into making plants taste good? For scientists in MIT’s Media Lab, it takes a combination of botany, machine-learning algorithms, and some good old-fashioned chemistry.

Using all of the above, researchers in the Media Lab’s Open Agriculture Initiative report that they have created that are likely more delicious than any you have ever tasted. No is involved: The researchers used computer algorithms to determine the optimal growing conditions to maximize the concentration of flavorful molecules known as .

But that is just the beginning for the new field of “cyber agriculture,” says Caleb Harper, a principal research scientist in MIT’s Media Lab and director of the OpenAg group. His group is now working on enhancing the human disease-fighting properties of herbs, and they also hope to help growers adapt to changing climates by studying how crops grow under different conditions.

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