DEPARTMENT: Cerf's up
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.
DEPARTMENT: Letters to the editor
In the June issue of Communications, Editor-in-Chief Andrew A. Chien suggested that ACM consider bestowing two A.M. Turing Awards per year. Reader reactions were thoughtful and provocative.
Orit Hazzan and Koby Mike on the need for a journal to cover data science education exclusively.
The quest to find greater security through obscurity.
Internet security was once based on trust and needs to be updated.
New unions could change how tech giants engage with their employees.
Repeated ethical violations ends with membership revocation and ban.
COLUMN: Economic and business dimensions
Considering a new regulatory proposal for addressing digital market competition concerns.
Shifting the focus from the perceived difficulty of learning programming to making programming more universally accessible.
COLUMN: Kode Vicious
There is much to be learned from the lower-level details of hardware.
Recommendations for increasing the benefits of artificial intelligence technologies.
Recent experiences toward communicating science to the general public.
Proven practices to recruit domestic computer science graduate students.
A survey for practitioners.
What was once a way to bring audio and video to the Web has expanded into more use cases than we could ever imagine.
SECTION: Contributed articles
A panoramic view of a popular platform for C program analysis and verification.
Using clever video curation and processing practices to extract video training signals automatically.
A method for reducing delivery delays for multimedia data produced by the Internet of Things.
SECTION: Review articles
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.
SECTION: Research highlights
"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 …
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.
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.
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.
COLUMN: Last byte
Crime-solving computer plays by its own rules.