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Understanding Deep Learning through Neuron Deletion
Deep neural networks are composed of many individual neurons, which combine in complex and counterintuitive ways to solve challenging tasks, ranging from machine translation to Go. This complexity grants neural networks their power but also earns them their reputation as confusing and opaque black boxes. Understanding how deep neural networks function is critical for explaining their decisions and enabling us to build more powerful systems.
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Relativity Space reveals its ambitions with big NASA deal
Founded in late 2015, Relativity remained in stealth mode until last year, but now it is starting to come out of the shadows. And in doing so, the California-based company is revealing some pretty outsized ambitions. One day, in fact, the company intends to 3D print a rocket on Mars for a return trip to Earth.
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Nanofibers Dramatically Improve Wound Healing and Tissue Regeneration
The discovery that wounds in the fetus can heal without scarring has prompted scientists to work on designing new biomaterials based on the properties of the fetal skin as promising regenerative strategies.
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The Troubling Calculus of Human Value
For most of us we use only the numerical literacy necessary to stay employed. And even fewer of us think about numbers in a way where we can see their intrinsic value. We think about a million dollars, in a very loose, abstract way.
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We Still Don’t Understand Why Time Only Flows Forward
Every moment that passes finds us traveling from the past to the present and into the future, with time always flowing in the same direction. At no point does it ever appear to either stand still or reverse; the “arrow of time” always points forwards for us. But if we look at the laws of physics—from Newton to Einstein, from Maxwell to Bohr, from Dirac to Feynman—they appear to be time-symmetric.
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Scaling Image Validation Across Multiple Platforms
To achieve this goal at scale, we validate the SDK across a wide range of devices with a heavy reliance on test automation. More specifically, we leverage automated image comparison techniques to verify rendering correctness. Rendering in this context refers to the state of the device frame buffer after widgets, images, and text have been drawn.
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Depth-sensing imaging system can peer through fog
In a study that holds promise for self-driving cars, MIT researchers have developed a system that can image and gauge the distance of objects shrouded by fog so thick that human vision can’t penetrate it.
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