Computing’s Grand Challenge for Sustainability
The computing community should embrace a grand challenge to reduce the carbon-emissions and environmental impact of computing in absolute terms dramatically, and if possible, to zero.
Systems and Networking
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Combining neural networks with symbolic representations might make them more versatile and dependable.
Hidden Malware Ratchets Up Cybersecurity Risks
Cybercriminals could be hiding malware payloads in places where commercial cybersecurity software is unable to detect it.
Applied AI Teaches Handwriting
In an increasingly digital world, how do you teach students cursive handwriting?
Data Platforms and Network Effects
How data-network effects create opportunities and inflate expectations.
Assessing the Quantum-Computing Landscape
A summative assessment of quantum computing's progress, based on market readiness and investment levels, and its future implications.
Technical Perspective: Traffic Classification in the Era of Deep Learning
"Traffic Classification in an Increasingly Encrypted Web," by Iman Akbari et al., does a great job in reviewing related work in the network traffic classification space.
Traffic Classification in an Increasingly Encrypted Web
In this paper, we design a novel feature engineering approach used for encrypted Web protocols, and develop a neural network architecture based on stacked long short-term memory layers and convolutional neural networks.
Securing the Enterprise When Employees are Remote
Managing the security challenges of hybrid work environments.
AI Supports Displaced Peoples, Refugees in Ukraine and Beyond
Artificial intelligence is playing a growing role in refugee relief and resettlement programs.
New Research Vindicates Fodor and Pylyshyn: No Explainable AI Without ‘Structured Semantics’
In this short article, we generalize recent research results that clearly make the point that "there can be no explanation without semantics."
Pushing the Frontiers of Mathematical Research
Computer proof assistants are being used to create online libraries of mathematical theorems and proofs.
Lessons Learned Writing For BLOG@CACM
...and how to become a better technical writer In the process.
We must extend our model of computation to account for cost and location.
Parallel programming wall and multicore software spiral: Denial hence crisis.
Technical Perspective: Physical Layer Resilience through Deep Learning in Software Radios
"Polymorphic Wireless Receivers," by Francesco Restuccia and Tommaso Melodia, tackles the problem of physical layer resilience in wireless systems from a completely new perspective.
Polymorphic Wireless Receivers
We introduce PolymoRF, a deep learning-based polymorphic receiver able to reconfigure itself in real time based on the inferred waveform parameters.
Advancing the Ability of Robots to Help
ACM Athena Lecturer Ayanna Howard considers the benefits of robotics and the potential drawbacks of overtrust.
How AI Is Driving the Esports Boom
Artificial intelligence is helping the esports industry take the world by storm.
Competition Makes Big Datasets the Winners
Measurement has driven research groups to home in on the most popular datasets, but that may change as metrics shift to real-world quality.
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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