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
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
The economy could get a boost if machine-learning engineers switched from copying human abilities to augmenting them.
Wired From ACM Opinion | October 18, 2022
One way to examine the relationship between AI and democracy is to turn the attention toward the very basic unit common to all forms of democracy: the people.
The Gradient From ACM Opinion | September 26, 2022