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[From the last episode: We looked at the general principles of how a memory is organized.] We’ve talked about lots of different parts of a memory, so now it’s time to put them together. From the memory array we looked at last week, we’re going to add decoders and sense […]

[From the last episode: We looked at two important circuits: decoders and sense amplifiers] We’re building up to an interesting machine-learning technique, but we’re having to set lots of groundwork first. We saw Ohm’s Law two weeks ago, and we looked at decoders and sense amps last week. We’ll come […]

[From the last episode: We looked at some fundamental electrical concepts, with a focus on Ohm’s Law.] Having looked at Ohm’s Law, we’re now going to veer in a completely different direction. But not to worry: we’ll bring it all back together in a couple weeks. Before we can do […]

[From the last episode: We looked at some ways of optimizing neural-network so that they run better at the edge.] We’re going to cover one more interesting development in the world of AI, but in order for it to make any sense, we’re going to have to start by covering […]

[From the last episode: We looked at what it means to do machine learning “at the edge,” and some of the compromises that must be made.] When doing ML at the edge, we want two things: less computing (for speed and, especially, for energy) and smaller hardware that requires less […]