AI systems might reach higher performance if programmed with human language
The digital revolution is built on a foundation of binaries, invisible 1s and 0s called bits. The notion that computers prefer to "speak" in binary numbers is rarely questioned. According to new research from Columbia Engineering, that could be about to change.
A new U.S. National Science Foundation-funded study by mechanical engineer Hod Lipson and researcher Boyuan Chen proves that artificial intelligence systems might reach higher levels of performance if they are programmed with sound files of human language rather than with numerical data labels.