Lisa Seung-Yeon Lee

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A continuous-time optical neural network capable of executing a broad class of energy-minimizing neural net algorithms has been built. The network is a ring resonator comprising a saturable, two-beam amplifier that acts as an optical neuron array, two volume holograms that provide global network interconnectivity, and a linear, twobeam amplifier that(More)
In this work, we leverage the linear algebraic structure of distributed word representations to automatically extend knowledge bases and allow a machine to learn new facts about the world. Our goal is to extract structured facts from corpora in a simpler manner, without applying classifiers or patterns, and using only the co-occurrence statistics of words.(More)
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