IBM’s New Do-It-All Deep-Learning Chip | AI

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The field of is still in flux, but some things have started to settle out. In particular, experts recognize that neural nets can get a lot of computation done with little energy if a approximates an answer using low-precision math. That’s especially useful in mobile and other power-constrained devices. But some tasks, especially training a neural net to do something, still need precision. IBM recently revealed its newest solution, still a prototype, at the IEEE VLSI Symposia: a that does both equally well.

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