MIT's AI model learns language with very little training

Published:
October 31, 2018
Coverage:
Digital Transformation More...
Categories:
Artificial intelligence
Activities:
Research
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by Shriram Ramanathan
Truly disruptive

NLP technology has seen drastic improvements in accuracy and performance, leading to AI-enabled voice assistant products like Siri and Alexa. To date, most NLP algorithms have required extensive training with human-annotated sentences that highlight the structure and meaning behind words. Now, MIT researchers have developed an NLP model that closely mimics the language acquisition process in children. It works by observing captioned videos and associates words with objects and actions with little intervention from humans. Clients should monitor this development closely, as it can drastically improve the efficiency and accuracy of NLP, not to mention enhance its penetration in applications that use specialized jargon (such as manufacturing).

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