Machine learning predicts behavior of biological circuits

Biomedical engineers have devised a machine learning approach to modeling the interactions between complex variables in engineered bacteria that would otherwise be too cumbersome to predict. Their algorithms are generalizable to many kinds of biological systems.

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'Personalized DJ' music playlist algorithm matches songs to listeners' changing moods

Imagine having a disc jockey inside your computer who matches the music played to your current frame of mind. According to new research, machine learning can approximate that experience creating ultra-personal music playlists that adapt to each user's changing moods.

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2000 atoms in two places at once

The quantum superposition principle has been tested on a scale as never before in a new study. Hot, complex molecules composed of nearly two thousand atoms were brought into a quantum superposition and made to interfere. By confirming this phenomenon — 'the heart of quantum mechanics', in Richard Feynman's words — on a new mass scale, improved constraints on alternative theories to quantum mechanics have been placed.

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Why multipartite viruses infect plants rather than animals

Being in between living and non-living, viruses are, in general, strange. Among viruses, multipartite viruses are among the most peculiar — their genome is not packed into one, but many, particles. Multipartite viruses primarily infect plants rather than animals. A recent article uses mathematical and computational models to explain this observation.

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Scientists finally find superconductivity in place they have been looking for decades

Scientists prove a well-known model of material behavior applies to high-temperature superconductors, giving them a new tool for understanding how these materials conduct electricity with no loss. Simulations suggest we might be able to toggle superconductivity on and off in certain materials by tweaking their chemistry so electrons hop from atom to atom in a particular pattern – as if hopping to the atom diagonally across the street rather than to the one next door.

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Virtual human hand simulation holds promise for prosthetics

Animating human hands has long been considered one of the most challenging problems in computer graphics. That's because it has been impossible to capture the internal movement of the hand in motion — until now. Using magnetic resonance imaging (MRI) and a technique inspired by the visual effects industry, researchers have developed the world's most realistic model of the human hand's musculoskeletal system in motion. Applications include computer graphics, prosthetics, medical education, robotics, virtual reality.

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