Ultra-efficient machine learning transistor cuts AI energy use by 99%

Re:Ultra-efficient machine learning transistor cuts AI energ... by heisgone on Monday October 16, 2023 @11:37AM (#37901339)

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.

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Re:Ultra-efficient machine learning transistor cuts AI energ... by variadix on Monday October 16, 2023 @03:10PM (#37904695)

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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