Artificial Intelligence and Machine Learning
U.S. Copyright Office’s Questions about Generative AI
Innovation Is Overrated: A Provocation
Pondering the Ugly Underbelly, and Whether Images are Real
Generative AI Degrades Online Communities
Improving Testing of Deep-Learning Systems
Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines
This paper discusses algorithmic priority inversion in mission-critical machine inference pipelines used in modern neural-network-based perception subsystems and describes a solution to mitigate its effect.
Technical Perspective: Bridging AI with Real-Time Systems
"Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines," by Shengzhong Liu et al., proposes a new methodology for overcoming the limitations of current AI frameworks to enable the use of deep neural networks in mission-critical systems.
Anthropomorphism and Human-Robot Interaction
Talking about Large Language Models
If We Could Talk to the Animals
Unlocking the Potential of Zero-Knowledge Proofs in Blockchain
Energy and Emissions of Machine Learning on Smartphones vs. the Cloud
Do You Think the Chatbot Likes Me?
Algorithmic Advance: the Group Isomorphism Problem
Tokenomy of Tomorrow: Envisioning an AI-Driven World
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