From Communications of the ACM
Digital innovation is not working in the interest of the whole of society. It is time to radically rethink its purpose without…
Filippo Gualtiero Blancato| March 1, 2024
Google Robotics research scientist Eric Jang talks about robotic manipulation and self-supervised robotic learning
The Gradient From ACM Opinion | January 10, 2022
GPT-3 kicked off a new trend in AI for bigger and bigger models, but how large will they get?
MIT Technology Review From ACM Opinion | December 21, 2021
Enabling effective cross-company AI without data disclosure.
Olga Fink, Torbjørn Netland, Stefan Feuerriegelc From Communications of the ACM | January 1, 2022
Considering the intersection of technical design and civil rights when building and using classification algorithms.
Pauline T. Kim From Communications of the ACM | January 1, 2022
IT leaders can prevent disaster by understanding and articulating the risks of relying on increasingly complex algorithms
TechRepublic From ACM Opinion | November 30, 2021
Professionals practice a form of computational thinking that is significantly more advanced than popular descriptions suggest.
Peter J. Denning, Matti Tedre From Communications of the ACM | December 1, 2021
Computational biologist brings the power of machine learning to researchers seeking answers in mountains of cell images
Quanta Magazine From ACM Opinion | November 5, 2021
Although the European Commission proposed new legislation for the use of "high-risk artificial intelligence" earlier this year, the existing European fundamental...Karl Stöger, David Schneeberger, Andreas Holzinger From Communications of the ACM | November 1, 2021
A comprehensive anti-ransomware strategy must make it tougher for criminal groups and their sponsors to carry out attacks
The New York Times From ACM Opinion | September 24, 2021
Deep-learning pioneer discusses early days in image-processing and developments in self-supervised learning for computer vision
The Gradient Podcast From ACM Opinion | September 23, 2021