We present the first computational approach that can transform 3D meshes, created by traditional modeling programs, directly into instructions for a computer-controlled knitting machine. Knitting machines are able to robustly and repeatably form knitted 3D surfaces from yarn, but have many constraints on what they can fabricate.
Source: github.io
MIT researchers have come up with a new way to measure electrical activity in the brain. Their new light-sensitive protein can be embedded into neuron membranes, where it emits a fluorescent signal that indicates how much voltage a particular cell is experiencing. This could allow scientists to study how neurons behave, millisecond by millisecond, as the brain performs a particular function.
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Retina is an important light-sensitive tissue that transduces light information into neural activities through multi-layers of neuronal cells. Light entering an eye passes through the transparent retina and is mostly captured by the visual pigment-containing photoreceptors. Retinal degenerative diseases such as retinitis pigmentosa and macular degeneration lead to irreversible damage or even loss of photoreceptors, which can result in serious impairment of vision and eventually blindness.
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Interpretability techniques are normally studied in isolation. We explore the powerful interfaces that arise when you combine them — and the rich structure of this combinatorial space.
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