Metastable Walking Machines

by Byl, Katie, Tedrake, Russell Louis
Published 2011

The three pillars of machine programming

by Gottschlich, Justin, Solar Lezama, Armando, Tatbul Bitim, Emine Nesime, Carbin, Michael James, Rinard, Martin C, Barzilay, Regina, Amarasinghe, Saman P, Tenenbaum, Joshua B, Mattson, Tim
Published 2021

Machine Learning with Operational Costs

by Tulabandhula, Theja, Rudin, Cynthia
Published 2013

How to Run Turing Machines on Encrypted Data

by Goldwasser, Shafi, Kalai, Yael Tauman, Popa, Raluca Ada, Vaikuntanathan, Vinod, Zeldovich, Nickolai
Published 2014

Hardware for machine learning: Challenges and opportunities

by Sze, Vivienne, Chen, Yu-Hsin, Einer, Joel, Suleiman, Amr AbdulZahir, Zhang, Zhengdong
Published 2017

Hardware for Machine Learning: Challenges and Opportunities

by Sze, Vivienne, Chen, Yuhsin, Emer, Joel S, Suleiman, Amr AbdulZahir, Zhang, Zhengdong
Published 2017

The Machine Learning and Traveling Repairman Problem

by Tulabandhula, Theja, Rudin, Cynthia, Jaillet, Patrick
Published 2012

MLlib: Machine learning in Apache Spark

by Meng, Xiangrui, Bradley, Joseph, Yavuz, Burak, Sparks, Evan, Venkataraman, Shivaram, Liu, Davies, Freeman, Jeremy, Tsai, DB, Amde, Manish, Owen, Sean, Xin, Doris, Franklin, Michael J., Zadeh, Reza, Talwakar, Ameet, Zaharia, Matei A
Published 2018

On combining machine learning with decision making

by Tulabandhula, Theja, Rudin, Cynthia
Published 2016

Non-Projective Parsing for Statistical Machine Translation

by Carreras Perez, Xavier, Collins, Michael
Published 2010

Artificial intelligence, machine learning and health systems

by Panch, Trishan, Szolovits, Peter, Atun, Rifan
Published 2020

Quantum Enigma Machines and the Locking Capacity of a Quantum Channel

by Guha, Saikat, Hayden, Patrick, Krovi, Hari, Lloyd, Seth, Lupo, Cosmo, Shapiro, Jeffrey H., Takeoka, Masahiro, Wilde, Mark M.
Published 2014

The Execution Migration Machine: Directoryless Shared-Memory Architecture

by Shim, Keun Sup, Lis, Mieszko, Khan, Omer, Devadas, Srinivas
Published 2017

Machine learning approaches for large scale classification of produce

by Gupta, Otkrist, Das, Anshuman Jyothi, Hellerstein, Joshua K., Raskar, Ramesh
Published 2020

Prediction of Organic Reaction Outcomes Using Machine Learning

by Coley, Connor W., Barzilay, Regina, Jaakkola, Tommi S., Green, William H., Jensen, Klavs F., Coley, Connor Wilson, Jaakkola, Tommi S., Green, William H., Jensen, Klavs F.
Published 2017

Machine Vision to Alert Roadside Personnel of Night Traffic Threats

by Wang, Liang, Horn, Berthold K. P.
Published 2019

Design tradeoffs for simplicity and efficient verification in the Execution Migration Machine

by Shim, Keun Sup, Lis, Mieszko, Cho, Myong Hyon, Devadas, Srinivas, Lebedev, Ilia A.
Published 2014

Digital Optical Neural Networks for Large-Scale Machine Learning

by Bernstein, Liane, Sludds, Alexander, Hamerly, Ryan M, Sze, Vivienne, Emer, Joel S, Englund, Dirk R.
Published 2021

Synchronously-pumped OPO coherent Ising machine: benchmarking and prospects

by Hamerly, Ryan M, Englund, Dirk R.
Published 2021