• Search Search
  • User Login
  • Nav Nav
Search
  • News + Updates
  • Research
  • About
  • Graduate Program
  • People
  • Events
  • Videos
  • Member Portal
Article

AI Songsmith Cranks Out Surprisingly Catchy Tunes

 

via MIT Technology Review

Nov. 30, 2016

People
  • Natasha Jaques
    Research Assistant
Groups
  • Share this article

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 ...

Wednesday
July 31, 2019
12:00pm — 2:00pm ET
Natasha Jaques
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"

Oct. 4, 2021
in Affective Computing
Tool Research

EDA Explorer

An online tool for visualization and analysis of Electrodermal Activity data.

Oct. 5, 2017
in Affective Computing
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

Proceedings, April 2017
in Affective Computing
#machine learning

  • News + Updates
  • Research
  • About
  • Graduate Program
  • People
  • Events
  • Videos
  • Member Portal

More ways to explore

  • Videos
  • Publications
  • Job Opportunities
  • Contact

Massachusetts Institute of Technology
School of Architecture + Planning

Accessibility
Donate to the Lab