Fulfilling the Growing Power Requirements of AI Datacenters
Nuclear energy checks many of the boxes sought for a modern power source.
Artificial Intelligence and Machine Learning
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AI Transforms Medical Diagnostics
Generative AI tools are streamlining administrative tasks, enhancing clinical-decision support, and augmenting patient education.
Predicting the Unpredictable: The AI Outlook
Uncertainties about competition, legislation, and sustainability counterbalance the thrilling potential of AI.
There are no effective standardized evaluation methods to measure how well a particular AI model performs a particular task.
Autonomy 2.0: The Quest for Economies of Scale
An ever-evolving software stack and the digital twin paradigm will significantly accelerate progress in the autonomy industry.
Panmodal Information Interaction
Emerging modalities that complement search have created new possibilities for information interaction.
Multi-Dimensional Growth of GenAI Use by STEM Undergraduates
The evolution of GenAI tool usage by science and engineering students over their academic years provides valuable insights for students, educators, and educational institutions.
Ushering In a New Era of Business Process Innovation with AI and ML
The evolution of AI and ML technologies has transformed business systems and made processes smarter and more efficient.
Preprinting in AI Ethics: Toward a Set of Community Guidelines
Preprinting allows for the rapid dissemination of new ideas, but also of junk science and potentially of research without due ethics approval.
The Challenge of Consistency in Generative AI: Will We Adapt or Fix the System?
GenAI systems are not static reference materials but evolving conversational partners—valuable but requiring careful oversight.
The Role of Research in Preparing K-12 Students for Computer Science and AI
K-12 education needs to build on CS successes and prepare students for an AI-powered world.
Barto, Sutton Announced as ACM 2024 A.M. Turing Award Recipients
ACM has named Andrew G. Barto and Richard S. Sutton as the recipients of the 2024 ACM A.M. Turing Award for developing the conceptual and algorithmic foundations of reinforcement learning. In a series of papers beginning in the 1980s, Barto and Sutton introduced the main ideas, constructed the mathematical foundations, and developed important algorithms for reinforcement […]
The incorporation of generative AI has fundamentally changed the nature of data annotation tasks in crowd work.
Smaller models and datasets have emerged as an alternative without some of their larger cousins' drawbacks.
GenAI as a Teacher Guide and Coding Companion (Part 1)
GenAI could be the perfect coding companion for novice CS teachers in K-12 classrooms.
Self-Correction in Large Language Models
LLMs may be able to correct mistakes but they must first detect errors, which is a bottleneck at present.
Guide Dogs are Expensive and Scarce. Could Robots Do Their Job?
Governmental research agencies in the U.S., the U.K., and in China are all funding research into assistive robots to help the sight-impaired.
Artificial Intelligence as Catalyst for Biodiversity Understanding
AI should be a bridge rather than a barrier to the biological sciences' pursuit of understanding and preserving the natural world.
Putting the Smarts into Robot Bodies
Delving into the key tradeoffs of building foundation models for embodied AI systems.
Prevalence and Prevention of Large Language Model Use in Crowd Work
LLMs may be particularly harmful in crowd work when the goal is to capture the diversity of human preferences, behaviors, or opinions.
Generative AI tools are becoming a fundamental part of how students learn and work.
AI Upgrades the Internet of Things
AIoT could lead to systems that understand their environment, make real-time decisions, and continuously improve their performance.
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.
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