Google's DeepMind Made an AI Watch Close To 5000 Videos So That It Surpasses Humans in Lip-Reading (thetechportal.com)

A new AI tool created by Google and Oxford University researchers could significantly improve the success of lip-reading and understanding for the hearing impaired. In a recently released paper on the work, the pair explained how the Google DeepMind-powered system was able to correctly interpret more words than a trained human expert. From a report: To accomplish the task, a cohort of scientists fed thousands of hours of TV footage -- 5000 to be precise -- from the BBC to a neural network. It was made to watch six different TV shows, which aired between the period of January 2010 and December 2015. This included 118,000 difference sentences and some 17,500 unique words. To understand the progress, it successfully deciphered words with a 46.8 percent accuracy. The neural network had to recognize the same based on mouth movement analysis. The under 50 percent accuracy might seem laughable to you but let me put things in perspective for you. When the same set of TV shows were shown to a professional lip-reader, they were able to decipher only 12.4 percent of words without error. Thus, one can understand the great difference in the capability of the AI as compared to a human expert in that particular field.

Comments

That lip readng scene in 2001

[Ukab the Great]

Is 15 years late.

Re:Time to create a distinction?

[Anonymous Coward]

These days with all of the marketing bollocks around any program containing an if() statement is basically an "AI".

Re:Time to create a distinction?

[TheRaven64]

You're redefining intelligence to mean pattern recognition. If this is artificial intelligence, then a moth possesses natural intelligence. Just because it uses a neural network doesn't mean that it comes close to any prior definition of intelligence.