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.
Systems and Networking
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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.
Screen Recognition Makes Apps More Accessible
Apple's Screen Recognition algorithm identifies the metadata necessary to communicate the functions of any app or Web page to the visually impaired.
Joke-Cracking Chatbots Boost Learning Levels
The role of humor in training, and conversing with, chatbots.
Central bank digital currencies hold the promise—and peril—of changing money as we know it.
There is an emerging effort to tap artificial intelligence to write code based on short text descriptions of what the code should do.
Engineering Additional Creativity
Can artificial intelligence augment human creativity in writing?
Program Verification: Vision and Reality
In 1969, Tony Hoare wrote in "An Axiomatic Basis for Computer Programming" about mathematical certainty, great reliance, and confidence. In retrospect, the hope for "mathematical certainty" was idealized, and not fully realistic, I believe.
Obtain a Ph.D. and a Career in Data
Innovative new approaches to learning are enabling people to gain skills that are vital in today's workplace.
Formal Software Verification Measures Up
Verified coding techniques use mathematical proofs to ensure code is error-free and hacker-resistant. Can the approach revolutionize software?
Charles M. Geschke (1939-2021)
Charles M. Geschke helped create the modern world of computing, where beautiful typography and expressive, artistic graphics are as integral to most users' experience as numbers and text.
A Battery-Free Internet of Things
The Internet of Things can thrive without hardwired or consumable power sources.
Droids, drones, and driverless technologies are fueling a supply chain revolution.
Reimplementing Software Interfaces Is Fair Use
A multifactored rationale for denying Oracle's claim against Google.
Responsible Computing During COVID-19 and Beyond
Navigating the ethical and societal impacts of technologies.
The Limits of Differential Privacy (and Its Misuse in Data Release and Machine Learning)
Differential privacy is not a silver bullet for all privacy problems.
Always-on Time-Series Database: Keeping Up Where There's No Way to Catch Up
A discussion with Theo Schlossnagle, Justin Sheehy, and Chris McCubbin.
How can neural networks learn the rich internal representations required for difficult tasks such as recognizing objects or understanding language?
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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