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
Exploring the event-modeling approach to discovering requirements and designing software systems.
Software Engineering Radio From ACM Opinion | November 28, 2022
We should look at Galactica's initial failure as another scientific experiment, one that can bring us one step closer to success.
TechTalks From ACM Opinion | November 23, 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
The artificial intelligence design challenge of teaming humans and machines is difficult because machines cannot read the context of use.
Peter J. Denning, John Arquilla From Communications of the ACM | December 1, 2022
Robots are hardware and software packages that lack a nature or any abilities outside of whatever their designers imagine.MInd Matters News From ACM Opinion | November 15, 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