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That is changing. This month fast.ai, an education non-profit based in San Francisco, kicked off the third year of its course in deep learning. Since its inception it has attracted more than 100,000 students, scattered around the globe from India to Nigeria. The course and others like it come with a simple proposition: there is no need to spend years obtaining a phd in order to practise deep learning. Creating software that learns can be taught as a craft, not as a high intellectual pursuit to be undertaken only in an ivory tower. Fast.ai’s course can be completed in just seven weeks.


Treating it like a craft is paying dividends.

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While SpaceX works on giant reusable rockets to reach Mars, other companies are working on technologies to keep colonists alive on the red planet. Relativity Space has made the world’s largest metal 3D printer, called Stargate, to print rockets, tools, and other useful objects off-Earth.

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A ghostly dust satellite or two might be orbiting the Earth, according to new research building on a 60-year-old idea.

Massive objects attract one another through the force of gravity. But when you have multiple huge objects with just the right masses, their mutual gravitational field can introduce some anomalies—like gravitational points that can hold things stable. Scientists have found objects orbiting in these “Lagrange points” created by the combined gravity of the Sun and Mars, the Sun and Neptune, and the Sun and Jupiter. Researchers are now reporting evidence of dust clouds, called Kordylewski dust clouds, in the Lagrange points created by the Earth and the Moon.

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