Differentiable Economics: Strategic Behavior, Mechanisms, and Machine Learning
Recent advances have made machine learning a tool for solving longstanding problems in economics.
这件事总理年年部署，25万寒门学子上了重点高校
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Understanding Mobile App Reviews to Guide Misuse Audits
The MissAuditor approach identifies exploitable apps and uncovers their exploitable functionalities.
It Takes a Village: Bridging the Gaps between Current and Formal Specifications for Protocols
Proposals for narrowing the gap between the formal methods and networking communities.
To Post or Not to Post: AI Ethics in the Age of Big Tech
AI ethicists should recognize their potential complicity in the systems they study.
Thinking Fast and Slow in Human and Machine Intelligence
The SOFAI multi-agent architecture integrates both fast, intuitive decision making and slow, deliberate reasoning.
Defying Moore: Envisioning the Economics of a Semiconductor Revolution through 12nm Specialization
Architectural innovation can make substantial contributions to the economics and efficiency of sustaining Moore’s Law’s cadence of improvements for AI chips.
The Rational Programmer: Investigating Programming Language Pragmatics
The rational-programmer method helps assess whether linguistic features and tools can deliver useful information with software development tasks.
Malicious AI Models Undermine Software Supply-Chain Security
Trusted repositories, cryptographic validation, and controlled access can help organizations mitigate risks associated with malicious AI models.
Revolutionizing Datacenter Networks via Reconfigurable Topologies
An overview of reconfigurable datacenter networks and their technological enablers.
From Prompt Engineering to Prompt Science with Humans in the Loop
Demonstrating how to have scientific rigor in developing a reliable prompt and getting a trustworthy response for a downstream application.
Envisioning Recommendations on an LLM-Based Agent Platform
The Rec4Agentverse paradigm for LLM-based agent platforms brings significant changes to recommender systems in areas such as user preference modeling and collaboration mechanisms.
Ransomware: Extortion Is My Business
A look at ransomware, its ecosystems, the impact of its attacks, and the tactics of its attackers.
‘What I Think about When I Type about Talking’: Reflections on Text-Entry Acceleration Interfaces
The GenieTalk system was designed to address physical and cognitive barriers in sentence prediction and phrase retrieval systems.
Can We Measure the Impact of a Database?
The h-index can be extended to hierarchical structures, allowing the impact of authors and journals to be measured on a large class of databases and datasets.
The Importance of Distrust in Trusting Digital Worker Chatbots
While trust is essential to promote human interaction with AI-powered digital workers, distrust may also play a role.
Multisensory Experiences: Formation, Realization, and Responsibilities
Sensory manipulation, privacy, and other ethical considerations must be carefully addressed as technology-enabled multisensory experiences evolve.
Preprinting in AI Ethics: Toward a Set of Community Guidelines
Preprinting allows for the rapid dissemination of new ideas, but also of junk science and potentially of research without due ethics approval.
Exploiting Cross-Layer Vulnerabilities: Off-Path Attacks on the TCP/IP Protocol Suite
An investigation of vulnerabilities within the TCP/IP protocol suite that can be exploited by forged ICMP errors.
Prevalence and Prevention of Large Language Model Use in Crowd Work
LLMs may be particularly harmful in crowd work when the goal is to capture the diversity of human preferences, behaviors, or opinions.
The Sustainability Gap for Computing: Quo Vadis?
A reformulated IPAT model provides insight for computer system engineers to consider computing's environmental impact.
Molecular Communications in Blood Vessels: Models, Analysis, and Enabling Technologies
Considering models and technologies to implement proposed alternatives to molecular communications in the bloodstream.
Meta’s Hyperscale Infrastructure: Overview and Insights
A concise, high-level overview of Meta’s hyperscale infrastructure, with key insights from its development.
Program Correctness through Self-Certification
Self-certification is simpler to apply than formal verification, and fully validates only the program runs that actually occur.
Initiatives created for the 2023 UbiComp/ISWC conference illustrate what can and should be done to support the needs of a diverse, increasingly global computing community.
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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