We propose a novel Top-N recommendation model that combines information about an autistic user's idiosyncratic aversions with her/his preferences in a personalized way.
Systems and Networking
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FBI agents Saskia Lipcott and Dinah Carter are forced to deal with Dupin, the agency's rogue crime-fighting computer that is out to get them.
ACM TechNews Top Articles of 2021
The coronavirus pandemic was prominent among the top 10 most clicked-on articles presented by ACM TechNews during 2021.
EU Integrating Quantum Accelerators into HPC Datacenters
The European Union is working hard to keep pace with quantum computing efforts worldwide.
Companies old and new, large and small, are working to establish themselves in the smart warehouse and distribution center market.
Cultivating Habits: -1 +2 for Researchers
The New Year is stereotypically the time when we resolve to start some good habits and get rid of some of the bad.
Is the Global Computing Community Irrevocably Divided?
The powerful forces pulling the global computing community apart have broad implications on all seven continents, not just in the U.S. and China.
Technology can lead to improved education, but only if we move slow and do not break things.
How Computing Empowered Me to Tackle Big Problems in Medicine
What have I learned that might be helpful in preparing aspiring computer scientists to lead impactful and meaningful professional lives?
What is your private data worth, to you and to the companies willing to pay you for it?
In highly regulated industries, it is critical that laws are translated precisely into code that reflects their intent.
Addressing Algorithmic Discrimination
Considering the intersection of technical design and civil rights when building and using classification algorithms.
The Long Road Ahead to Transition to Post-Quantum Cryptography
Anticipating the output of the competition for new cryptographic algorithms.
Artificial Intelligence Across Company Borders
Enabling effective cross-company AI without data disclosure.
The Growing Cost of Deep Learning for Source Code
Attempting to mitigate problems associated with the trend toward massive dataset scaling.
Declarative Machine Learning Systems
The future of machine learning will depend on it being in the hands of the rest of us.
How Reliable Is Smartphone-Based Electronic Contact Tracing for COVID-19?
A look through the lens of neighbor discovery protocols reveals significant potential to improve electronic contact-tracing accuracy.
Delivering a Rapid Digital Response to the COVID-19 Pandemic
Lessons learned from South Korea's contact-tracing system.
Fifty Years of P vs. NP and the Possibility of the Impossible
Advances in algorithms, machine learning, and hardware can help tackle many NP-hard problems once thought impossible.
Developer tools that use a neural machine learning model to make predictions about previously unseen code.
Confidential Computing Conquers Hacks
Protecting data while it is in use, rather than at rest or in flight.
Shape the Future of Computing
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