Designing an algorithm with reduced connection churn that could replace deterministic subsetting.
Peter Ward, Paul Wankadia, Kavita Guliani From Communications of the ACM | May 2023
CPT can provide actionable and precise latency analysis.
Brian Eaton, Jeff Stewart, Jon Tedesco, N. Cihan Tas From Communications of the ACM | January 2023
A path forward for the ML community to address a stark disconnect.
Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar From Communications of the ACM | August 2022
The future of machine learning will depend on it being in the hands of the rest of us.
Piero Molino, Christopher Ré From Communications of the ACM | January 2022
Extending hardware-enforced cryptographic protection to data while in use.
Mark Russinovich, Manuel Costa, Cédric Fournet, David Chisnall, Antoine Delignat-Lavaud, Sylvan Clebsch, Kapil Vaswani, Vikas Bhatia From Communications of the ACM | June 2021
Hitting a nerve with field-programmable gate arrays.
Oskar Mencer, Dennis Allison, Elad Blatt, Mark Cummings, Michael J. Flynn, Jerry Harris, Carl Hewitt, Quinn Jacobson, Maysam Lavasani, Mohsen Moazami, Hal Murray, Masoud Nikravesh, Andreas Nowatzyk, Mark Shand, Shahram Shirazi From Communications of the ACM | October 2020
Collaboration between humans and machines does not necessarily lead to better outcomes.
Michelle Vaccaro, Jim Waldo From Communications of the ACM | November 2019
Five diverse technology companies show how it's done.
Natasha Noy, Yuqing Gao, Anshu Jain, Anant Narayanan, Alan Patterson, Jamie Taylor From Communications of the ACM | August 2019