Beating Valentino Rossi: the race for autonomous motorcycles

Manufacturers are presenting autonomous (!) motorcycles. These innovations could bring new insights into technological developments – how artificial intelligence and deep learning might unseat a reigning champion.

Contests between computers and humans have always been of special significance in the history of technological development: Twenty years ago, IBM’s chess computer Deep Blue showed the potential of big data and so-called brute force searches by beating world champion Garry Kasparov. Last year Google’s artificial intelligence unit DeepMind applied machine learning to beat the 18-time world champion Lee Sedol in Go, an even more complex board game.

Meanwhile a third contest has been started between man and machine. Yamaha Motors and the US research firm SRI International challenged nine times World Champion Valentino Rossi: they are training their robot Motobot to ride a motorcycle around a race course faster than the famous Italian.

Read more: Beating Valentino Rossi: the race for autonomous motorcycles

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Mike Rawson

Mike Rawson has recently re-awoken a long-standing interest in robots and our automated future. He lives in London with a single android - a temperamental vacuum cleaner - but is looking forward to getting more cyborgs soon.

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Beating Valentino Rossi: the race for autonomous motorcycles

by Mike Rawson time to read: 1 min
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