Remodelling machine learning: An AI that thinks like a scientist

Modern science generates a lot of data — amounts far beyond the ability of humans to process on their own. This is why scientists often rely on computational methods such as machine learning — a type of artificial intelligence to crunch big data. In fact, it’s pretty commonplace today, and is even used in applications like Spotify and Netflix to help predict your media preferences. But there’s a problem. Traditional approaches to machine learning, such as deep learning, are focused on classification and statistical correlation. This makes them very useful for recognising and comparing patterns in things like audio or […]

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