Machine Learning: Out! Data Science: In!
We propose to stop teaching machine learning courses to populations whose core discipline is neither computer science nor mathematics and statistics.
Artificial Intelligence and Machine Learning
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Addressing Labor Shortages with Automation
Labor shortages have many companies turning to automation technology, but with mixed outcomes.
A Deeper Understanding of Deep Learning
Kernel methods clarify why neural networks generalize so well.
Jack J. Dongarra is the recipient of the 2021 ACM A.M. Turing Award for his pioneering contributions to numerical algorithms and libraries that enabled high-performance computational software to keep pace with exponential hardware improvements for over four decades.
The growing popularity of computational workflows is also a cause for concern. How can we enjoy the common benefits of the workflows and eliminate the risks?
Perspectives on the role and responsibility of the data-management research community in designing, developing, using, and overseeing automated decision systems.
Learning New Things and Avoiding Obstacles
ACM A.M. Turing Award recipient Jack Dongarra never intended to work with computers.
Drone makers are donating, or selling at cost, unmanned aerial drones to Ukraine.
Artificial Intelligence for Synthetic Biology
The opportunities and challenges of adapting and applying AI principles to synbio.
FBI agents Saskia Lipcott and Dinah Carter have one last chance to evade Dupin's corrupt AI.
Neural Networks Learn to Speed Up Simulations
Physics-informed machine learning is gaining attention, but suffers from training issues.
Artificial Intelligence and Mental Health
How AI can be used to improve diagnosis of mental health conditions.
New systems can model and synthesize voices, and even translate them into other languages.
Explorations in Cyber-Physical Systems Education
Explorations in CPS education and related research projects over the past two decades unveil where CPS learning is headed.
A Data-Driven Exploration of the Race between Human Labor and Machines in the 21st Century
To understand automation and the future of work, this study explores how human labor competes, or cooperates, with technology in performing a range of tasks.
The Go Programming Language and Environment
Released as open source in November 2009, Go has become the foundation for critical infrastructure at every major cloud provider. Its creators look back on how Go got here and why it has stuck around.
How a Shopping Mall Trip Inspired Me to Work in Neuro-Symbolic AI
I'll never forget the time — at just six years of age — when my father showed me a toy robot holding a tray and told me that very soon there will be actual robot helpers in our home working for us.
Reconfigurable Brain-Like Chips Top Deep Neural Net
The quantum material NNO demonstrates novel quantum properties that enable it to learn throughout its lifetime.
The Failings of Machine Learning Models
Risk assessment, accountability, explainability, and bias, among other factors, challenge the success of machine learning.
First, There Were Bug Bounties. Now, Here Come the Bias Bounties
Offering rewards for the identification of bias in algorithms.
Specialized techniques may make it possible to induce selective 'amnesia' in machine learning models.
Still Waiting for Self-Driving Cars
Why is it taking so long for autonomous vehicles to hit the road?
Communications’ Digital Initiative and Its First Digital Event
How AI and science are shaping each other.
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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