RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation

no code implementations • 7 Nov 2018 • Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao, John Emmons, Anchit Gupta, Emre Orbay, Silvio Savarese, Li Fei-Fei

Imitation Learning has empowered recent advances in learning robotic manipulation tasks by addressing shortcomings of Reinforcement Learning such as exploration and reward specification.

Imitation Learning

NoScope: Optimizing Neural Network Queries over Video at Scale

1 code implementation • 7 Mar 2017 • Daniel Kang, John Emmons, Firas Abuzaid, Peter Bailis, Matei Zaharia

Given a target video, object to detect, and reference neural network, NoScope automatically searches for and trains a sequence, or cascade, of models that preserves the accuracy of the reference network but is specialized to the target video and are therefore far less computationally expensive.

Binary Classification

Automated Assignment of Backbone NMR Data using Artificial Intelligence

no code implementations • 18 Jun 2015 • John Emmons, Steven Johnson, Timothy Urness, Adina Kilpatrick

Nuclear magnetic resonance (NMR) spectroscopy is a powerful method for the investigation of three-dimensional structures of biological molecules such as proteins.