The team at NVIDIA brings confidentiality and integrity to user code and data for accelerated computing.
Gobikrishna Dhanuskodi, Sudeshna Guha, Vidhya Krishnan, Aruna Manjunatha, Rob Nertney, Michael O'Connor, Phil Rogers From Communications of the ACM | January 2024
Confidential computing enables users to authenticate code running in TEEs, but users also need evidence this code is trustworthy.
Antoine Delignat-Lavaud, Cédric Fournet, Kapil Vaswani, Sylvan Clebsch, Maik Riechert, Manuel Costa, Mark Russinovich From Communications of the ACM | January 2024
Early insights and opportunities of AI-powered pair-programming tools.
Christian Bird, Denae Ford, Thomas Zimmermann, Nicole Forsgren, Eirini Kalliamvakou, Travis Lowdermilk, Idan Gazit From Communications of the ACM | June 2023
The return of a popular feature that shares the joy and utility of reading CS research between academics and their counterparts in industry.
Martin Kleppmann, Peter Alvaro From Communications of the ACM | November 2022