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A central goal that modern physicists share is finding a single theory that can explain the entire Universe and unite the forces of nature.

The standard model, for example, leaves dark matter, dark energy, and even gravity out of the picture — meaning that it really only accounts for a very small percentage of what makes up the Universe.

String theory stitches Einstein’s conception of the general theory of relativity together with quantum, echanics, and the result is quantum theory applied to gravity.

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Researchers have probed samples of metal bismuth, and found a completely unexpected property — under certain conditions, the solid metal can retain a type of ‘structural memory’ of its liquid state.

The fact that scientists have found a new property of metals is exciting enough. But this also means solid bismuth can go from being repelled by a magnetic field (diamagnetic) to being attracted to a magnetic field (ferromagnetic), which could lead to a whole new way of creating materials with unique properties.

The phases of matter we learn about in high school, such as liquid, gas, and solid, are all defined by the way molecules in matter are arranged depending on external conditions. For example, liquid water freezes and contracts together, expanding into ice, or relaxes and boils into steam.

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Alida Draudt and Julia Rose West are not only co-authors, business partners, and best of friends, but most importantly, they have differing points of view—which is ideal for two budding Silicon Valley futurists.

Alida currently works as a futurist and design strategist at Capital One, and Julia is a design strategist and user experience manager at Ancestry.com.

In their recently published book, What the Foresight, they describe the mindset, practices and tools leaders need to explore multiple futures, identify their preferred future, and then take steps to create it. In their view, the future’s complexity requires looking at it from multiple viewpoints and angles.

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(Phys.org)—Scientists have built tiny logic machines out of single atoms that operate completely differently than conventional logic devices do. Instead of relying on the binary switching paradigm like that used by transistors in today’s computers, the new nanoscale logic machines physically simulate the problems and take advantage of the inherent randomness that governs the behavior of physical systems at the nanoscale—randomness that is usually considered a drawback.

The team of researchers, Barbara Fresch et al., from universities in Belgium, Italy, Australia, Israel, and the US, have published a paper on the new nanoscale logic machines in a recent issue of Nano Letters.

“Our approach shows the possibility of a new class of tiny analog computers that can solve computationally difficult problems by simple statistical algorithms running in nanoscale solid-state physical devices,” coauthor Francoise Remacle at the University of Liege told Phys.org.

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Model of the human genome.

A special nutrient must be fed to these bacteria or else they die off. Unless they find this selfsame nutrient in the environment, which Church says is unlikely, they would not be able to survive. Another fail-safe is a special barrier which has been erected to make it impossible for the bacteria to mate or reproduce, outside of the lab. But other experts wonder how “unbeatable” Church’s fail-safe’s actually are. Carr says that instead of discussing these measures as foolproof, we should be framing it in degrees of risk.

The next step is further testing of the artificial genes that have been made. Afterward, Church and colleagues will take this same genome and produce an entirely new organism with it. Since DNA is the essential blueprint for almost all life on earth, being able to rewrite it could give humans an almost god-like power over it. That capability is perhaps decades away. Even so, combined with gene editing and gene modification, and the idea of a race of super humans is not outside the realm of possibility.

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This means we need new ways to grow food that are smarter and helps regulate our use of land, water and energy in order to feed the planet and avoid a global food crisis.

Researchers at Carnegie Mellon University’s Robotics Institute believe the answer lies in sensors, artificial intelligence (AI) and robots.

In a new initiative called FarmView, researchers are working to combine sensors, robotics and artificial intelligence to create a fleet of mobile field robots they hope will improve plant breeding and crop-management practices.

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