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Artificial intelligence

Artificial intelligence

Neural networks extract information from sparse datasets

18 Nov 2019 Margaret Harris
This article first appeared in the 2019 Physics World Focus on Computing under the headline "Learning from incomplete data"

Condensed-matter theorist Gareth Conduit developed an algorithm that can “learn” from incomplete data. His next challenge: turning it into a business

Intellegens chief technology officer Gareth Conduit (right) and chief executive officer Ben Pellegrini (second from right) with colleagues (left to right) Robert Parini, Tom Whitehead, Sue Flatman and Jamie Smith
Information from data Intellegens chief technology officer Gareth Conduit (right) and chief executive officer Ben Pellegrini (second from right) with colleagues (left to right) Robert Parini, Tom Whitehead, Sue Flatman and Jamie Smith. (Courtesy: Intellegens)
How did you get the idea for your company? I was chatting to a materials science PhD student in a pu

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Margaret Harris is an online editor of Physics World
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