On Expert Testimony.
Comparing Chatbots Trained in Different Languages.
Tales of Topological Qubits: Emulating the behavior of exotic quantum states may give quantum computing a better way of squeezing out troublesome noise and errors.
BRINGING COMPUTER SCIENCE TO NON-COMPUTER SCIENTISTS.
Saving Digital Libraries and the Internet Archive: A battle over "truth and who has access to it in the digital age".
Revamping Python for an AI World: Mojo has the same syntax as Python, but runs up to 35,000 times faster.
Thus Spake ChatGPT: On the reliability of AI-based chatbots for science communication.
Why Is the Current XAI Not Meeting the Expectations? Seeking better explanations for how algorithmic decisions are made.
A Clash of Civilizations: The much-sought holy grail of more and faster innovation will come from integrating pipeline thinking and adoption thinking.
Halfway Around the World: Learn the language, meet the people, eat the food.
A Strategy for Scaling Advanced Analytics: Key elements for scaling advanced analytics.
Five Ways Executives Misunderstand Technology: How executives might better understand technology.
There Was No 'First AI Winter': Despite challenges and failures, the artificial intelligence community grew steadily during the 1970s.
Pointers in Far Memory: Rethinking how data and computations should be organized.
How Flexible Is CXL's Memory Protection? Replacing a sledgehammer with a scalpel.
Data Analytics Anywhere and Everywhere: Mobile, ubiquitous, and immersive computing appear poised to transform visualization, data science, and data-driven decision making.
Theoretical Analysis of Edit Distance Algorithms: To what extent have the techniques for theoretical analysis of edit distance algorithms achieved their goals?
When Two Cameras Are a Crowd: Understanding and handling interference across multiple active cameras.
Maximum Flow through a Network: A Storied Problem and a Groundbreaking Solution.
Almost-Linear-Time Algorithms for Maximum Flow and Minimum-Cost Flow.
Ulterior Motives: 2023-2024 ACM Athena Lecturer Margo Seltzer recalls the motivations behind the development of the Berkeley DB database software library, and other achievements during her career.
What Came First, Math or Computing?
Lessons from PL/I: A Most Ambitious Programming Language: PL/I stands for Programming Language 1, and its aim was to be the Highlander of programming languages.
Quantum Speedup for the Fast Fourier Transform?
DIGITAL TECHNOLOGY AND SOCIAL CHANGE
What's Old Is New Again: Analog computing offers one possible solution to the downsides of digital computing.
Accessibility and Inclusion through Technology: Helping the sensory-impaired overcome their impediments.
ACM Issues Principles for Generative AI Technologies
Legally Speaking Legal Challenges to Generative AI, Part II: Deliberating on inconclusive AI-generated policy questions.
On Being a Computer Science Communicator: Facilitating more effective public engagement with a computer science perspective.
Economic and Business Dimensions The Gamification of Academia: Gaming the system.
Machine Learning Sensors: A design paradigm for the future of intelligent sensors.
Privacy in the Age of AI: What has changed and what should we do about it?
The Infrapolitics of Algorithmic Resistance: Exploring the complex interactions between humans and machines governed by algorithms.
Rethinking Conference Formats: Suggesting a conference format better suited for both onsite and virtual conferences.
Echoes of Intelligence.
DevEx: What Actually Drives Productivity?
Scrambled Features for Breakfast: Concepts of Agile Language Development.
Informatics Higher Education in Europe: A Data Portal and Case Study.
Is TinyML Sustainable?
Technical Perspective: What's All the Fuss about Fuzzing?
Boosting Fuzzer Efficiency: An Information Theoretic Perspective.
Future Tense How Climate Change Was Won: A Martian report from the future carries good news about the future of Earth.
The Dilemma of Scale: For the two-thirds of the world's population actively online and for legislators worried about harmful, disruptive, misleading, and toxic content, it seems obvious to ask.
Controlling AI: Gary Marcus considers it appropriate that governments are stepping up on artificial intelligence, but finds some of the resulting signals deeply worrisome.
Biomedical Digital Twins: Considering the transformative possibilities of simulated models of biological phenomena and systems at multiple scales.
The Fight to Repair: How the battle over the right to repair is tipping in favor of consumers.