Article

AI Songsmith Cranks Out Surprisingly Catchy Tunes

via MIT Technology Review

Nov. 30, 2016

People
Groups

Google’s songwriting program learns by combining statistical learning and explicit rules—the same approach may make it easier for engineers to shape other AI programs.

Read on MIT Technology Review
Related Content
Event Events

Natasha Jaques Dissertation Defense

Towards Social and Affective Artificial IntelligenceSocial learning is a crucial component of human intelligence, allowing us to rapidly ad…
Post Research

Natasha Jaques wins AAAC Outstanding PhD Dissertation Award 2021

Natasha Jaques, an alum of the Affective Computing group, has won this year's award for her thesis: "Social and Affective Machine Learning"
Publication Research

Tuning Recurrent Neural Networks with Reinforcement Learning

Jaquesn, N., Gu, S., Turner, R., and Eck, D. International Conference on Learning Representations (ICLR) workshop, Toulon, France, April 2017
Publication Research

Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-Control

Jaques, N., Gu, S., Bahdanau, D., Hernandez-Lobato, J., Turner, R., and Eck, D. International Conference on Machine Learning (ICML), Sydney, Australia, August 2017.