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Jul 30, 2018

Move over, graphene: Iron ore mineral becomes newest 2D material

Posted by in categories: materials, particle physics

When it comes to new materials, thin is most definitely in. Brazilian researchers have created a new two-dimensional material called hematene, which is made up of sheets of iron ore just three atoms thick. And as is often the case with 2D materials, hematene seems to have different properties to its regular form.

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Jul 30, 2018

Artificial intelligence can predict your personality

Posted by in categories: information science, robotics/AI

“The eyes are the window of the soul.” Cicero said that. But it’s a bunch of baloney.

Unless you’re a state-of-the-art set of machine-learning algorithms with the ability to demonstrate links between eye movements and four of the big five personality traits.

If that’s the case, then Cicero was spot on.

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Jul 30, 2018

Elon Musk Just Debuted an Eco-Friendly Tesla Model 3 Fast Delivery System

Posted by in categories: Elon Musk, sustainability, transportation

Tesla is cutting back on plastic with its new car delivery system. On Monday, CEO Elon Musk shared the story of how he personally delivered a Tesla Model 3 to Devin Scott in Los Angeles, using a new method where instead of arriving in plastic wrap, the car is delivered with an enclosed trailer directly from factory to home.

The new method is a marked change from the previous process, where several cars would ship out on a truck to a delivery hub and move out later. It means less packaging, and potentially fewer steps in getting some of the approximately 7,000 cars produced per week into the hands of buyers. Tesla produces around seven times more cars per week than it did when the Model 3 first started production a year ago, and this rapid expansion has led to big changes in the company’s processes to fulfill the 400,000 or so $1,000 reservations for the Model 3. In a March 2017 earnings call, Musk said his goal was to make deliveries “more streamlined, less paperwork, less bureaucracy.”

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Jul 30, 2018

DARPA has an ambitious $1.5 billion plan to reinvent electronics

Posted by in categories: computing, military

The US military agency is worried the country could lose its edge in semiconductor chips with the end of Moore’s Law.

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Jul 30, 2018

God Particle will eventually DESTROY the universe — physicists in Doomsday claim

Posted by in categories: existential risks, particle physics

THE famous ‘God Particle’ will lead to the destruction of the entire universe, scientists have warned. British researchers are warning that the Higgs Boson, otherwise known as the God Particle, will one day lead to the destruction of the universe.

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Jul 30, 2018

String Theory May Create Far Fewer Universes Than Thought

Posted by in category: quantum physics

Some physicists claim the popular landscape of universes in string theory may not exist.

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Jul 30, 2018

Lol Photo

Posted by in category: futurism

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Jul 29, 2018

Ride to Space

Posted by in category: space

See the Earth from 20 miles (32 km) above in this breathtaking 360° footage captured from a weather balloon.

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Jul 29, 2018

What humans must do to make Mars home

Posted by in categories: habitats, space travel

Humanity will one day make it to Mars. But can we make it livable?

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Jul 29, 2018

This 3D-printed AI construct analyzes

Posted by in categories: 3D printing, mathematics, robotics/AI

Machine learning is everywhere these days, but it’s usually more or less invisible: it sits in the background, optimizing audio or picking out faces in images. But this new system is not only visible, but physical: it performs AI-type analysis not by crunching numbers, but by bending light. It’s weird and unique, but counter-intuitively, it’s an excellent demonstration of how deceptively simple these “artificial intelligence” systems are.

Machine learning systems, which we frequently refer to as a form of artificial intelligence, at their heart are just a series of calculations made on a set of data, each building on the last or feeding back into a loop. The calculations themselves aren’t particularly complex — though they aren’t the kind of math you’d want to do with a pen and paper. Ultimately all that simple math produces a probability that the data going in is a match for various patterns it has “learned” to recognize.

The thing is, though, that once these “layers” have been “trained” and the math finalized, in many ways it’s performing the same calculations over and over again. Usually that just means it can be optimized and won’t take up that much space or CPU power. But researchers from UCLA show that it can literally be solidified, the layers themselves actual 3D-printed layers of transparent material, imprinted with complex diffraction patterns that do to light going through them what the math would have done to numbers.

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