Proposing a framework for a decentralized market where no one party controls the flow of information.
Marshall Van Alstyne, Michael D. Smith, Herbert Lin From Communications of the ACM | April 1, 2023
Technologists who understand and measure cyber risk can motivate policyholders to improve security.
Daniel W. Woods From Communications of the ACM | March 1, 2023
The U.S. healthcare system is plagued by inefficiencies, in part due to deficiencies of health data interoperability between electronic health records and other...STAT From ACM Opinion | February 8, 2023
Companies are moving away from setting qubit records in favor of practical hardware and long-term goals.
MIT Technology Review From ACM Opinion | January 11, 2023
Google research scientist Pete Florence discusses how robotics can benefit from dense visual representations, neural radiance fields, and large language models....The Gradient From ACM Opinion | January 5, 2023
Exploring the event-modeling approach to discovering requirements and designing software systems.
Software Engineering Radio From ACM Opinion | November 28, 2022
2018 ACM A.M. Turing Award recipient discusses his career, collaborations, deep learning's promise, and directions for the field. The Gradient From ACM Opinion | November 22, 2022
Quantum computing is far from being a mature technology, but now is the time to pencil it into IT strategic roadmaps.
TechRepublic From ACM Opinion | November 22, 2022
AI researchers are warning developers to focus more on how and why a system produces certain results than the fact that the system can accurately and rapidly produce...Vice From ACM Opinion | November 2, 2022
To realize the promised benefits of applying AI and ML models at scale, a roadmap of the challenges and potential solutions to sociotechnical transferability is...Nature Machine Intelligence From ACM Opinion | October 24, 2022
Harry Halpin has helped create a new kind of network that might enable more private Internet conversations.
Quanta Magazine From ACM Opinion | October 21, 2022
Andy Dang, head of Engineering at WhyLabs, discusses observability and data ops for AI/ML applications and how that differs from traditional observability.
Software Engineering Radio From ACM Opinion | October 21, 2022