Playing With, and Against, Computers
2019 ACM Computing Prize recipient David Silver on developing the AlphaGo algorithm, his fascination with Go, and on teaching computers to play.
Computing Applications
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Updating emergency rescue equipment and tactics with digital technologies.
Programmable Trap Can Kill Viruses
Computational genetic engineering has enabled a method of "trapping" and killing viruses.
Design Orientation and Optimization
Considering how to concurrently maximize output via vertical and horizontal optimization.
The Research Community, Research Subject, and Research Process.
Software Learning: The Art Of Design Regret
How should software engineers try to classify their reflections?
Unveiling Unexpected Training Data in Internet Video
Using clever video curation and processing practices to extract video training signals automatically.
A Journal for Interdisciplinary Data Science Education
Orit Hazzan and Koby Mike on the need for a journal to cover data science education exclusively.
A European Union Approach to Regulating Big Tech
Considering a new regulatory proposal for addressing digital market competition concerns.
There is much to be learned from the lower-level details of hardware.
Responsible AI: Bridging From Ethics to Practice
Recommendations for increasing the benefits of artificial intelligence technologies.
Science Needs to Engage With Society: Some Lessons From COVID-19
Recent experiences toward communicating science to the general public.
WebRTC: Real-Time Communication for the Open Web Platform
What was once a way to bring audio and video to the Web has expanded into more use cases than we could ever imagine.
The Dogged Pursuit of Bug-Free C Programs: The Frama-C Software Analysis Platform
A panoramic view of a popular platform for C program analysis and verification.
Scaling Up Chatbots for Corporate Service Delivery Systems
A future-state architectural strategy designed to support chatbot integration with service delivery systems.
Collaborations between two communities have unearthed a sweet spot for future programming efforts.
Optimal Auctions Through Deep Learning
We overview recent research results that show how tools from deep learning are shaping up to become a powerful tool for the automated design of near-optimal auctions.
eBP: An Ear-Worn Device for Frequent and Comfortable Blood Pressure Monitoring
We developed eBP to measure blood pressure from inside a user's ear aiming to minimize the measurement's impact on normal activities while maximizing its comfort level.
Technical Perspective: eBP Rides the Third Wave of Mobile Health
The automated blood pressure wearable system described in "eBP," by Nam Bui et al., is a sterling example of the third wave of mobile health tech to fill the preventative care gap.
Can we discover language in the vocalizations and/or gestures of non-human species? Within that question lies another: whether rich machine learning methods can demonstrate that interspecies communication is possible.
Technical Perspective: The Quest for Optimal Multi-Item Auctions
"Optimal Auctions Through Deep Learning," by Paul Dütting et al., contributes a very interesting and forward-looking new take on the optimal multi-item mechanism computational challenge, initiating the use of deep learning for mechanism design.
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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