How sparsification and quantization build leaner AI


Artificial Intelligence (AI) and Machine Learning (ML) are rarely out of the news. Technology vendors are busy jostling for position in the AI-ML marketplace, all keen to explain how their approach to automation can speed everything from predictive maintenance for industrial machinery to knowing what day consumers are most likely to order vegan sausages in their online shopping orders. Much of the debate around AI itself concerns the resultant software tooling that tech vendors bring to market. We want to know more about how so-called'explainable' AI functions function and what those advancements can do for us. A key part of that explainability concentrates on AI bias and the need to ensure human unconscious (or perhaps semiconscious) thinking is not programmed into the systems we are creating.

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