(Re)Use of Research Results (Is Rampant)
Prior pessimism about reuse in software engineering research may have been a result of using the wrong methods to measure the wrong things.
Computing Applications
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HPC Forecast: Cloudy and Uncertain
An examination of how the technology landscape has changed and possible future directions for HPC operations and innovation.
The Lean Data Scientist: Recent Advances Toward Overcoming the Data Bottleneck
A taxonomy of the methods used to obtain quality datasets enhances existing resources.
Proving Data-Poisoning Robustness in Decision Trees
We present a sound verification technique based on abstract interpretation and implement it in a tool called Antidote, which abstractly trains decision trees for an intractably large space of possible poisoned datasets.
An ancient Roman dispatched to find the greatest technological advances of the time may lose something of far greater importance.
Computational Linguistics Finds Its Voice
Advances in artificial intelligence permit computers to converse with humans in seemingly realistic ways.
Can AI Demonstrate Creativity?
When fed a sufficient amount of training data, artificial intelligence techniques can be used to generate new ideas in several different ways. Is that creativity?
Building Machine Learning Models Like Open Source Software
Proposing a community-based system for model development.
Software Engineering of Machine Learning Systems
Seeking to make machine learning more dependable.
Extracting the Essential Simplicity of the Internet
Looking past inessential complexities to explain the Internet's simple yet daring design.
Technical Perspective: Beautiful Symbolic Abstractions for Safe and Secure Machine Learning
"Proving Data-Poisoning Robustness in Decision Trees," by Samuel Drews et al., addresses the challenge of processing an intractably large set of trained models when enumeration is infeasible in a clean, beautiful, and elegant manner.
The QR code, a convenient mechanism for delivering digital information to a reader, does not come with any human-readable way to ascertain safety. You have no way to tell whether it is potentially malicious.
ChatGPT in Computer Science Education
Asked "How will ChatGPT influence computer science education?" teachers barely addressed the threats it poses.
Mining the Margins to Save Lives
Using artificial intelligence to ensure fewer donated kidneys are discarded, and that food donations make it to those in need via what is fast becoming an Internet of Food.
Evaluating Research Results for Practical Applications
The role of the application of research results in assessing the achievements of scientists.
Small-scale CAD/CAM tools are among the high-tech capabilities being added to the arsenals of increasingly digital dentists.
Inorganic Growth In Tech: Getting Shredded with Acquisitions
Acquisitions happen quite often in the tech industry and are far more complicated to pull off successfully than popping a pill.
ACE: Toward Application-Centric, Edge-Cloud, Collaborative Intelligence
Constructing a unified platform for the scalable, reliable, robust, and efficient development and deployment of ECCI applications.
Democratizing Domain-Specific Computing
Creating a programming environment and compilation flow that empowers programmers to create their own DSAs efficiently and affordably on FPGAs.
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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