Do We Need a Speedometer for Artificial Intelligence?

MICROSOFT has achieved a new record for the accuracy of software that transcribes speech. Its system missed just one in 20 words on a standard collection of phone call recordings—matching humans.

The result is the latest in a string of recent findings that some view as proof that advances in artificial intelligence are accelerating, threatening to upend the economy. Some software has proved itself better than people at recognizing objects such as cars or cats in images, and Google’s AlphaGo software has overpowered multiple Go champions—a feat that until recently was considered a decade or more away. Companies are eager to build on this progress; mentions of AI on corporate earnings calls have grown more or less exponentially.

Some AI observers are trying to develop a more exact picture of how fast the technology is advancing.

Read more: Do We Need a Speedometer for Artificial Intelligence?

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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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Do We Need a Speedometer for Artificial Intelligence?

by Mike Rawson time to read: 1 min
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