Home

[From the last episode: We looked at neuromorphic machine learning, which is intended to act more like the brain does.] Our last topic to cover on learning (ML) is about training. We talked about supervised learning, which means we’re training a model based on a bunch of samples. That may […]

[From the last episode: We took a review break on all of the AI stuff we’ve discussed so far.] Before we leave AI for a while, are a couple of other things we should circle back on. (Yeah, we could have done this before the break, but… man, I needed […]

[From the last episode: We looked at some of the caveats around the whole in-memory compute idea.] OK, that’s been quite a slog over the last many months. We’re going to come up for air and review what we talked about in the world of machine learning. First we looked […]

[From the last episode: We saw that converters are needed around an analog memory to convert between digital and analog parts of the circuit.] We’ve seen that we can modify a digital memory a number of ways to make it do math for us. Those modifications include: Using the cell […]

[From the last episode: We noted that some inventions, like in-memory compute, aren’t intuitive, being driven instead by the math.] We have one more addition to add to our in-memory compute system. Remember that, when we use a regular memory, what goes in is an address – a binary number. […]