Computing Profession
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Algorithms Have Been Around for 4,000 Years
For some years now, the terms "algorithms", "digitization" and "artificial intelligence" have become commonplace. However, these terms are rarely explained. One has the impression these achievements are new, which is by no means true. This also applies, for example, to neural networks, machine learning, and big data. The boom is not least due to the sharp increase in computing power of desktop and portable computers.
Simpifying Machine-based Touch Sensing
A three-dimensionally-printed nervous system could allow robots to perceive touch the way we do.
The future of insect-sized remote-controlled aerial robots will be electromechanical, rather than cyborg.
A Software Architect Is the Person You Blame
How efficient is your current software project, and could it potentially benefit from the addition of a software architect?
The foundational work of the first AI for Good Summit allows the AI community to work together to create an infrastructure for responsible communication, development, and trust.
Digital Nudging: Guiding Online User Choices through Interface Design
Designers can create designs that nudge users toward the most desirable option.
Making Machine Learning Robust Against Adversarial Inputs
Such inputs distort how machine-learning-based systems are able to function in the world as it is.
Always Measure One Level Deeper
Performance measurements often go wrong, reporting surface-level results that are more marketing than science.
The ABCs of Effectiveness in The Digital Society
Digital effectiveness is not the same as mastering the ICTs, rather it is the art of using them in a purposeful, healthy way.
Technical Perspective: The Rewards of Selfish Mining
"Majority Is Not Enough: Bitcoin Mining Is Vulnerable," by Eyal and Sirer, questions the 2009 Bitcoin white paper's implicit assumption of perfect information—that all miners have the same view of the blockchain.
A New Perspective on Computational Thinking
Addressing its cognitive essence, universal value, and curricular practices.
I see ACM as a continual 'work in progress' as computing and our community evolves. In the future, I believe ACM will need to constantly reassess priorities and activities to ensure we remain vital to the global computing community.
How the Hippies Destroyed the Internet
Communism is the most famous 20th-century attempt to build market-free economies. It required coercion on a colossal scale. The Internet is the second major attempt to build a market-free economy, limited to information.
Teach the Law (and the AI) ‘Foreseeability’
AI is a sort of idiot savant that can be unpredictably, and potentially, dangerously literal.
Today's programmers offer more valuable skills than simply being able to hack algorithms and make data structures, says Yegor Bugayenko.
Bringing the Internet to the (Developing) World
A growing number of low-cost (and free!) solutions aim to open the Internet to developing regions.
Copyright Blocks a News-Monitoring Technology
An evolving technological landscape has made application of copyright law increasingly difficult.
Considering the confluence of research questions and sociopolitical dynamics.
The Case for Disappearing Cyber Security
A proposal for keeping cyber security both out of sight and out of mind for end users.
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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