Researchers from MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) have developed a deep-learning algorithm that passes the Turing Test for sound: when shown a silent video clip of an object being hit, the algorithm can produce a sound for the hit that is realistic enough to fool human viewers.

The team believes that future work in this area could improve robots’ abilities to interact with their surroundings. For robots to navigate the world, for example, they need to be able to make reasonable assumptions about their surroundings and what might happen during a sequence of events.

Source: MIT’s AI Passes Turing Test for Sound – Robotics Trends

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Published by 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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MIT’s AI Passes Turing Test for Sound – Robotics Trends

by Mike Rawson time to read: <1 min
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