Digital Contact Tracing May Protect Privacy, But It Is Unlikely to Stop the Pandemic
Considering the potential benefits versus the risks of privacy-enhancing technologies.
Computing Applications
Advertisement
Copyright’s Online Service Providers Safe Harbors Under Siege
Reviewing the most significant changes recommended in the recently released U.S. Copyright Office Section 512 Study.
Using Data and Respecting Users
Three technical and legal approaches that create value from data and foster user trust.
Where Should Your IT Constraint Be?: The Case of the Financial Services Industry
Locating the strategic location of the IT junction constraint.
Using argument technology to strengthen critical literacy skills for assessing media reports.
Estimating Amazon Carbon Stock Using AI-based Remote Sensing
This work presents advances in the way of a more accurate estimate of the carbon captured by forest areas, in particular the Amazon rainforest and its peculiarities.
Understanding Salsa: How Computing Is Defining Latin Music
An interdisciplinary research field called music information retrieval seeks to develop computational data search and retrieval techniques applied to music.
A Technological and Innovative Approach to COVID-19 in Uruguay
This article presents a technological and innovative approach developed to help the Uruguayan government in their fight against COVID-19.
It is critical for underrepresented communities in technology to foster initiatives that are committed to developing tools for the local adoption of AI.
Three Success Stories About Compact Data Structures
Compact data structures have been at the forefront of research in data structures over the last 20 years.
Contextualized Interpretable Machine Learning for Medical Diagnosis
The explanations of prediction models must be based on features that are meaningful to physicians.
Why Me?: Shedding Light on Random Processes via Randomness Beacons
Solving the apparent paradox of potentially unpredictable random process results is the objective of a verifiable randomness service offered by the University of Chile.
Toward Smart and Sustainable Cities
Evidence-based public policymaking is starting to gain attention as governments and academic projects apply modern computer science techniques to develop tools for operating a city's daily life and guiding long-term management.
Chile’s New Interdisciplinary Institute for Foundational Research on Data
The Millennium Institute for Foundational Research on Data aims to be a reference center in Latin America related to state-of-the-art research on the foundational problems with data and its application to tackling diverse issues.
A Panorama of Computing in Central America and the Caribbean
Costa Rica has managed to close the gap in access to technology for its citizens, and it is now leading the way in the region.
Imaging Sciences R&D Laboratories in Argentina
A brief history of three research laboratories with the most relevant R&D activities in imaging sciences in Argentina.
A Perspective on Theoretical Computer Science in Latin America
The Latin American theoretical computer science community has made many noteworthy achievements.
The Latin American Supercomputing Ecosystem for Science
High-performance computing represents a strategic resource for Latin American researchers to respond to the region's economical and societal challenges.
Digital Healthcare in Latin America: The Case of Brazil and Mexico
Digital Healthcare can help address some of the challenges of the healthcare system in Latin America.
A Tour of Dependable Computing Research in Latin America
A view of dependable computing research in Latin America.
Data on the Outside versus Data on the Inside
Data kept outside SQL has different characteristics from data kept inside.
Technical Perspective: BLeak: Semantics-Aware Leak Detection in the Web
What is the right leak oracle that can precisely capture the behavior of leaks in Web applications? "BLeak: Automatically Debugging Memory Leaks in Web Applications," by John Vilk and Emery D. Berger, provides a simple and yet unexpected answer to this question.
Generative Adversarial Networks
In this overview paper, we describe one particular approach to unsupervised learning via generative modeling called generative adversarial networks. We briefly review applications of GANs and identify core research problems related to convergence in games necessary to make GANs a reliable technology.
BLeak: Automatically Debugging Memory Leaks in Web Applications
This paper introduces BLeak (Browser Leak debugger), the first system for automatically debugging memory leaks in web applications.
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.
Learn More