How a simple game of 20 questions could help make AI fit for the future
Artificial intelligence programs used to classify images could be trained much more cheaply using a surprisingly simple method inspired by the childhood game of 20 Questions, according to new research posted to the arXiv preprint server by a team from the University of Bristol.
Artificial intelligence programs used to classify images could be trained much more cheaply using a surprisingly simple method inspired by the childhood game of 20 Questions, according to new research posted to the arXiv preprint server by a team from the University of Bristol. This story matters for Science & Discovery readers tracking engineering. Reported by phys.org. Read the full original at the source link below.
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