Il ricercatore del MIT Deb Roy voleva capire come il suo bambino imparasse la lingua — così ha riempito la sua casa di videocamere per catturare ogni momento (con alcune eccezioni) della vita di suo figlio, ha quindi analizzato 90.000 ore di video casalinghi per guardare “gaaa” trasformarsi lentamente in “water”. Una ricerca strabiliante e ricca di dati, con profonde implicazioni su come impariamo. Uno dei più bei video di TED Talk (marzo 2011), accompagnato da un articolo dell’autore Deb Roy.
Deb Roy directs the Cognitive Machines group at the MIT Media Lab, where he studies how children learn language, and designs machines that learn to communicate in human-like ways. To enable this work, he has pioneered new data-driven methods for analyzing and modeling human linguistic and social behavior. He has authored numerous scientific papers on artificial intelligence, cognitive modeling, human-machine interaction, data mining, and information visualization. Deb Roy was the co-founder and serves as CEO of Bluefin Labs, a venture-backed technology company. Built upon deep machine learning principles developed in his research over the past 15 years, Bluefin has created a technology platform that analyzes social media commentary to measure real-time audience response to TV ads and shows.
carlobattisti 