Building Machine Learning Models Like Open Source Software
Proposing a community-based system for model development.
Computing Profession
Advertisement
Software Engineering of Machine Learning Systems
Seeking to make machine learning more dependable.
Demystifying zero trust and its implications on enterprise people, process, and technology.
The Arrival of Zero Trust: What Does it Mean?
A discussion of zero-trust enterprise efforts in cybersecurity.
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.
This is an update on the efforts of the ACM Executive Committee and Council to draft a longer-term strategic plan for our organization.
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.
Vinton G. Cerf wonders "whether there is any possibility of establishing 'watcher networks'" in his October 2022 Communications "Cerf's Up" column. Philip K. Dick describes this problem in his story The Minority Report.
NIST Post-Quantum Cryptography Candidate Cracked
It took researchers in Belgium just an hour to crack the SIKE cryptographic algorithm.
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.
Large Language Models like ChatGPT say The Darnedest Things
ChatGPT makes the same kinds of mistakes its predecessors did. What can and should we do about it?
Small-scale CAD/CAM tools are among the high-tech capabilities being added to the arsenals of increasingly digital dentists.
What to Expect When You’re Expecting … GPT-4
What comes after ChatGPT? Seven predictions for 2023.
Is Computing Innovation Getting Harder?
Many of us, inside the ivory tower and outside, have felt at times that research is not quite delivering at the rate we hope it would.
The ChatAlgebra Educational Revolution
We need a ChatAlgebra revolution to reduce the gatekeeping role of the traditional Algebra course, to ameliorate the student suffering associated with the traditional mathematical sequence, to overcome inequitable results, and to free up the curricular space devoted to Algebra for the things students now need to learn. Using the newly free time, we could enable a more diverse body of students to become engaged and proficient in computer science and data science skills.
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.
5 Best Practices for Cloud-Based Backup and Recovery in 2023
These practices help technical professionals ensure their organizations' data is protected and can be recovered quickly.
Technical Perspective: The Impact of Auditing for Algorithmic Bias
"Actionable Auditing Revisited," by Inioluwa Deborah Raji and Joy Buolamwini, examines how companies producing commercial facial classification software responded to the publication of the groundbreaking 2018 "Gender Shades" study.
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.
This paper investigates the commercial impact of Gender Shades, the first algorithmic audit of gender- and skin-type performance disparities in commercial facial analysis models.
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