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ORCIDCommunications of the ACM, Volume 66
Volume 66, Number 1, January 2023
- Andrew A. Chien:
Computing Divided: How Wide the Chasm? 5 - Moshe Y. Vardi:
How Not to Win a Tech War. 7 - Michelle Zhou:
A Computer Scientist with a Biologist's Ambition: Advance Humanity. 9 - Marc Rotenberg, Jeremy Roschelle:
Making AI Fair, and How to Use It. 10-11 - Chris Edwards:
Error Control Begins to Shape Quantum Architectures. 13-15 - Neil Savage:
The Outlook for Crypto. 16-18 - Logan Kugler:
Making Traffic a Thing of the Past. 19-20 - Simson L. Garfinkel, Eugene H. Spafford:
In Memoriam: Frederick P. Brooks, Jr. 1931-2022. 21-22 - John Delaney:
Remembering Valérie Issarny. 23 - Michael A. Cusumano:
From Quantum Computing to Quantum Communications. 24-27 - Alexandra J. Roberts:
Getting a Handle on Handles. 28-30 - Fabio Massacci, Giorgio Di Tizio:
Are Software Updates Useless against Advanced Persistent Threats? 31-33 - Matt Welsh:
The End of Programming. 34-35 - Natasha F. Noy, Carole A. Goble:
Are We Cobblers without Shoes?: Making Computer Science Data FAIR. 36-38 - Henrik Skaug Sætra, Mark Coeckelbergh
, John Danaher:
The AI Ethicist's Dirty Hands Problem. 39-41 - Brian Eaton, Jeff Stewart, Jon Tedesco, N. Cihan Tas:
Distributed Latency Profiling through Critical Path Tracing. 44-51 - Ramnatthan Alagappan, Peter Alvaro:
Research for Practice: Crash Consistency. 52-54 - Ted G. Lewis:
The Many Faces of Resilience. 56-61 - Luhui Wang, Cong Zhao, Shusen Yang, Xinyu Yang, Julie A. McCann:
ACE: Toward Application-Centric, Edge-Cloud, Collaborative Intelligence. 62-73 - Yuze Chi, Weikang Qiao, Atefeh Sohrabizadeh, Jie Wang, Jason Cong:
Democratizing Domain-Specific Computing. 74-85 - Armando Castañeda, Sergio Rajsbaum, Michel Raynal:
A Linearizability-based Hierarchy for Concurrent Specifications. 86-97 - Vincent Conitzer, Gillian K. Hadfield, Shannon Vallor:
Technical Perspective: The Impact of Auditing for Algorithmic Bias. 100 - Inioluwa Deborah Raji, Joy Buolamwini:
Actionable Auditing Revisited: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products. 101-108 - Dennis E. Shasha:
Maximal Cocktails. 112
Volume 66, Number 2, February 2023
- Yannis E. Ioannidis:
To the Members of ACM. 5 - Vinton G. Cerf:
On QR Codes and Safety. 7 - CACM Staff:
Neighborhood Watch. 8-11 - Koby Mike, Orit Hazzan:
What is Data Science? 12-13 - Don Monroe:
Post-Quantum Cryptography. 15-17 - Samuel Greengard:
Computational Linguistics Finds its Voice. 18-20 - Keith Kirkpatrick:
Can AI Demonstrate Creativity? 21-23 - Barbara Ericson:
Four Ways to Add Active Learning to Computing Courses. 26-29 - George V. Neville-Neil:
The Elephant in the Room. 30-31 - Deborah G. Johnson, Mario Verdicchio:
Ethical AI is Not about AI. 32-34 - Charles Isbell, Michael L. Littman, Peter Norvig:
Software Engineering of Machine Learning Systems. 35-37 - Colin Raffel:
Building Machine Learning Models Like Open Source Software. 38-40 - Daniel M. Yellin:
The Premature Obituary of Programming. 41-44 - Juan E. Gilbert, Jeremy A. Magruder Waisome, Simone A. Smarr:
An Analysis of Black Faculty in CS Research Departments. 45-47 - Matthew Bush, Atefeh Mashatan:
From Zero to 100. 48-55 - Michael Loftus, Andrew Vezina, Rick Doten, Atefeh Mashatan:
The Arrival of Zero Trust: What Does it Mean? 56-62 - James Murphy McCauley, Scott Shenker, George Varghese:
Extracting the Essential Simplicity of the Internet. 64-74 - Maria Teresa Baldassarre, Neil A. Ernst, Ben Hermann, Tim Menzies, Rahul Yedida:
(Re)Use of Research Results (Is Rampant). 75-81 - Daniel A. Reed, Dennis Gannon, Jack J. Dongarra:
HPC Forecast: Cloudy and Uncertain. 82-90 - Chen Shani, Jonathan Zarecki, Dafna Shahaf:
The Lean Data Scientist: Recent Advances Toward Overcoming the Data Bottleneck. 92-102 - Martin T. Vechev:
Technical Perspective: Beautiful Symbolic Abstractions for Safe and Secure Machine Learning. 104 - Samuel Drews, Aws Albarghouthi, Loris D'Antoni:
Proving Data-Poisoning Robustness in Decision Trees. 105-113 - William Sims Bainbridge:
Aftermath Impact.
Volume 66, Number 3, March 2023
- Moshe Y. Vardi:
Who Is Responsible Around Here? 5 - Marty J. Wolf, Joseph A. Konstan, Helena M. Mentis, Jane Prey, Harald Störrle:
After the Complaint: What Should ACM Disclose? 6-11 - Nuria Oliver:
A Philosopher's Daughter Navigates a Career in AI. 13 - Carlos Baquero:
What Ever Happened to Peer-to-Peer Systems? 14-15 - Don Monroe:
Neural Networks for Drug Discovery and Design. 17-19 - Keith Kirkpatrick:
Adding Smarts to Vending Machines Drives Convenience, Efficiency. 20-22 - Logan Kugler:
Virtual Influencers in the Real World. 23-25 - Peter J. Denning:
A Map for Innovation. 28-31 - Pamela Samuelson:
A Legal Challenge to Algorithmic Recommendations. 32-34 - Lorrie Faith Cranor, Hana Habib:
Metrics for Success: Why and How to Evaluate Privacy Choice Usability. 35-37 - Alexandra Gillespie:
Designing an Ethical Tech Developer. 38-40 - Daniel W. Woods:
A Turning Point for Cyber Insurance. 41-44 - Raphael Auer, Rainer Böhme, Jeremy Clark, Didem Demirag:
Mapping the Privacy Landscape for Central Bank Digital Currencies. 46-53 - Thomas A. Limoncelli:
Split Your Overwhelmed Teams. 54-56 - Sara Berger, Francesca Rossi:
AI and Neurotechnology: Learning from AI Ethics to Address an Expanded Ethics Landscape. 58-68 - Rua-Huan Tsaih, Hsin-Lu Chang, Chih-Chun Hsu, David C. Yen:
The AI Tech-Stack Model. 69-77 - Stevie Chancellor:
Toward Practices for Human-Centered Machine Learning. 78-85 - Jonathan Ragan-Kelley:
Technical Perspective: Reconsidering the Design of User-Schedulable Languages. 88 - Bastian Hagedorn, Johannes Lenfers, Thomas Koehler, Xueying Qin, Sergei Gorlatch, Michel Steuwer:
Achieving High Performance the Functional Way: Expressing High-Performance Optimizations as Rewrite Strategies. 89-97 - Leah Hoffmann:
Considering the Impact of Technology on Society.
Volume 66, Number 4, April 2023
- Dennis E. Shasha:
Cooperation in the Commons. - Vinton G. Cerf:
Scaffolding as Catalyst. 5 - Gary Marcus:
Hoping for the Best as AI Evolves. 6-7 - Don Monroe:
Artificial Intelligence for Materials Discovery. 9-11 - Samuel Greengard:
AI Rewrites Coding. 12-14 - Esther Shein:
... And the Computer Plays Along. 15-17 - Wendy Hall, Divesh Srivastava, Scott E. Delman:
ACM Publications Finances for 2021. 18-19 - Mari Sako:
Contracting for Artificial Intelligence. 20-23 - George V. Neville-Neil:
All Sliders to the Right. 24-25 - Marshall W. Van Alstyne, Michael D. Smith, Herbert Lin:
Improving Section 230, Preserving Democracy, and Protecting Free Speech. 26-28 - David Ott, Kenny Paterson, Dennis Moreau:
Where Is the Research on Cryptographic Transition and Agility? 29-32 - Igor Linkov, Alexandre K. Ligo, Kelsey Stoddard, Beatrice Perez, Andrew Strelzoff, Emanuele Bellini, Alexander Kott:
Cyber Efficiency and Cyber Resilience. 33-37 - David A. Patterson:
Faculty Can Save Lives of the Elderly. 38 - Jorge A. Navas, Ashish Gehani:
OCCAM-v2: Combining Static and Dynamic Analysis for Effective and Efficient Whole-Program Specialization. 40-47 - Maya Kaczorowski, Falcon Momot, George V. Neville-Neil, Chris McCubbin:
OSS Supply-Chain Security: What Will It Take? 48-54 - Ben Nassi, Yisroel Mirsky, Jacob Shams, Raz Ben-Netanel, Dudi Nassi, Yuval Elovici:
Protecting Autonomous Cars from Phantom Attacks. 56-69 - Sergio López Bernal, Alberto Huertas Celdrán, Gregorio Martínez Pérez:
Eight Reasons to Prioritize Brain-Computer Interface Cybersecurity. 68-78 - Alexander Bentkamp, Jasmin Blanchette, Visa Nummelin, Sophie Tourret, Petar Vukmirovic, Uwe Waldmann:
Mechanical Mathematicians. 80-90 - Luca Mottola:
Technical Perspective: On Abstractions and Embedded Networks. 92 - Jonathan Oostvogels, Fan Yang, Sam Michiels, Danny Hughes:
Symbol-Synchronous Buses: Deterministic, Low-Latency Wireless Mesh Networking with LEDs. 93-101
Volume 66, Number 5, May 2023
- Moshe Y. Vardi:
ACM for the Public Good. 5 - Jules Maitland:
A Career Built on Using Technology to Help Others. 7 - Alex Tray:
Securing Data for Business Telephones. 8-9 - Chris Edwards:
AlphaFold Spreads through Protein Science. 10-12 - Neil Savage:
Locking Down Secure Open Source Software. 13-14 - Esther Shein:
Women in Computer Science Are Making Strides. 15-17 - Kendra Albert, James Grimmelmann:
Do the Right Thing. 18-20 - Steve Lipner, John Pescatore:
Updates, Threats, and Risk Management. 21-23 - Mark Guzdial, Emma R. Dodoo, Bahare Naimipour, Tamara Nelson-Fromm, Aadarsh Padiyath:
Putting a Teaspoon of Programming into Other Subjects. 24-26 - Marc Steen:
Ethics as a Participatory and Iterative Process. 27-29 - Jaime Sevilla, Anson Ho, Tamay Besiroglu:
Please Report Your Compute. 30-32 - Emily Ruppel, Sihang Liu, Elba Garza, Sukyoung Ryu, Alexandra Silva, Talia Ringer:
Long-Term Mentoring for Computer Science Researchers. 33-35 - Nina Amla, Dilma Da Silva, Michael Littman, Manish Parashar:
NSF on Chien's Grand Challenge for Sustainability. 36-37 - Peter Ward, Paul Wankadia, Kavita Guliani:
Reinventing Backend Subsetting at Google. 40-47 - Stefan Nagy:
Research for Practice: The Fun in Fuzzing. 48-50 - Dror G. Feitelson:
From Code Complexity Metrics to Program Comprehension. 52-61 - Manfred Broy, Bernhard Rumpe:
Development Use Cases for Semantics-Driven Modeling Languages. 62-71 - Shruthi Gorantala, Rob Springer, Bryant Gipson:
Unlocking the Potential of Fully Homomorphic Encryption. 72-81 - Torsten Hoefler, Thomas Häner, Matthias Troyer:
Disentangling Hype from Practicality: On Realistically Achieving Quantum Advantage. 82-87 - Gil Segev:
Technical Perspective: Finding Connections between One-Way Functions and Kolmogorov Complexity. 90 - Yanyi Liu, Rafael Pass:
Toward Basing Cryptography on the Hardness of EXP. 91-99 - Ralph Raiola:
ChatGPT, Can You Tell Me a Story? An Exercise in Challenging the True Creativity of Generative AI.
Volume 66, Number 6, June 2023
- Vinton G. Cerf:
Connectivity Is Everything. 5 - Doug Meil:
AI in the Enterprise. 6-7 - Neil Savage:
Making Connections. 8-10 - Samuel Greengard:
Better Algorithms through Faster Math. 11-13 - Logan Kugler:
Standards to Secure the Sensors That Power IoT. 14-16 - Keith Kirkpatrick:
Using Algorithms to Deliver Disaster Aid. 17-19 - Simson L. Garfinkel, Eugene H. Spafford:
In Memoriam: William A. Wulf. 20-23 - Peter J. Denning:
Can Generative AI Bots Be Trusted? 24-27 - Peter G. Neumann:
Computer-Related Risks and Remediation Challenges. 28-30 - George V. Neville-Neil:
The Parchment Path? 31-32 - Thomas Haigh:
Conjoined Twins: Artificial Intelligence and the Invention of Computer Science. 33-37 - Micah Beck, Terry Moore:
Breaking Up a Digital Monopoly. 38-41 - Emanuel Moss:
Trust Is Not Enough: Accuracy, Error, Randomness, and Accountability in an Algorithmic Society. 42-44 - Massimo Franceschet:
Decentraland: The Alleged Decentralization of Blockchain Applications. 45-47 - Gabriel Falcão, João Dinis Ferreira:
To PiM or Not to PiM. 48-55 - Christian Bird, Denae Ford, Thomas Zimmermann, Nicole Forsgren, Eirini Kalliamvakou, Travis Lowdermilk, Idan Gazit:
Taking Flight with Copilot. 56-62 - Johannes Klaus Fichte, Daniel Le Berre, Markus Hecher, Stefan Szeider:
The Silent (R)evolution of SAT. 64-72 - Philippa Harrison:
Buffer-Bloated Router? How to Prevent It and Improve Performance. 73-77 - Tae Wan Kim, Alan Strudler:
Should Robots Have Rights or Rites? 78-85 - Gal Vardi:
On the Implicit Bias in Deep-Learning Algorithms. 86-93 - Alfons Kemper:
Technical Perspective: FoundationDB Performs Balancing Act. 96 - Jingyu Zhou, Meng Xu, Alexander Shraer, Bala Namasivayam, Alex Miller, Evan Tschannen, Steve Atherton, Andrew J. Beamon, Rusty Sears, John Leach, Dave Rosenthal, Xin Dong, Will Wilson, Ben Collins, David Scherer, Alec Grieser, Yang Liu, Alvin Moore, Bhaskar Muppana, Xiaoge Su, Vishesh Yadav:
FoundationDB: A Distributed Key-Value Store. 97-105