The Effects of Mixing Machine Learning and Human Judgment
Collaboration between humans and machines does not necessarily lead to better outcomes.
Practice
Advertisement
DAML: The Contract Language of Distributed Ledgers
A discussion between Shaul Kfir and Camille Fournier.
Industry-Scale Knowledge Graphs: Lessons and Challenges
Five diverse technology companies show how it's done.
Access Controls and Healthcare Records: Who Owns the Data?
A discussion with David Evans, Richard McDonald, and Terry Coatta.
Garbage Collection as a Joint Venture
A collaborative approach to reclaiming memory in heterogeneous software systems.
Research for Practice: Troubling Trends in Machine-Learning Scholarship
Some ML papers suffer from flaws that could mislead the public and stymie future research.
How to Create a Great Team Culture (and Why It Matters)
Build safety, share vulnerability, and establish purpose.
Net Neutrality: Unexpected Solution to Blockchain Scaling
Cloud-delivery networks could dramatically improve blockchains' scalability, but clouds must be provably neutral first.
The many challenges to maintaining stored information and ways to overcome them.
Critical but oft-neglected service metrics that every SRE and product owner should care about.
Understanding Database Reconstruction Attacks on Public Data
These attacks on statistical databases are no longer a theoretical danger.
Shape the Future of Computing
ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.
Get InvolvedCommunications of the ACM (CACM) is now a fully Open Access publication.
By opening CACM to the world, we hope to increase engagement among the broader computer science community and encourage non-members to discover the rich resources ACM has to offer.
Learn More