Thanks. That's interesting. If I understand correctly what you say, analog cannot be used for training but might be used to bake a trained static model. I think things are evolving too fast now for pre-trained models to be baked in silicon but it's a matter of time for it to become common.
There’s probably a way to make an analog AI chip programmable, but yeah the wiring (model architecture) is fixed when you fabricate/design the circuit. I think we’ll start to see simple models deployed to edge devices soon where low power solutions will be a necessity.
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Thanks. That's interesting. If I understand correctly what you say, analog cannot be used for training but might be used to bake a trained static model. I think things are evolving too fast now for pre-trained models to be baked in silicon but it's a matter of time for it to become common.
There’s probably a way to make an analog AI chip programmable, but yeah the wiring (model architecture) is fixed when you fabricate/design the circuit. I think we’ll start to see simple models deployed to edge devices soon where low power solutions will be a necessity.