Will AI Destroy the World Wide Web?
The stable business model on which the Web thrived is now being threatened by GenAI.
Will AI Destroy the World Wide Web?
The stable business model on which the Web thrived is now being threatened by GenAI.
Active learning provides a compelling alternative to the “bigger is better” assumption dominating current thinking about AI.
A Generative AI-Powered Digital Twin for Adaptive NASH Care
A generative AI-powered conversational digital twin integrated with modular clinical pathways could transform liver health management.
Deleting X: Why SIGDOC Left the Platform
Why would an organization choose to remain on a social media platform that is the very antithesis of what the organization embodies and hopes to promote?
An Algorithm for a Better Bookshelf
Laziness is only one of two desirable properties for a bookshelf algorithm. The second is the ability to proactively respond to an adversary’s strategy.
Dozens of AI tools that can help improve elderly care are already being deployed in hospitals.
AI Teams Contend With Synthetic Data’s Jekyll/Hyde Roles
Experiments show a degradation in foundation-model performance once synthetic training data becomes too prevalent.
ACM Publications Finances for 2023 and 2024
A major theme of the past two years is the significant growth of the ACM Open model, as ACM has moved closer to completing the transition to 100% open access publication.
Deconstructing the Take It Down Act
It is easy to imagine the FTC weaponizing its newfound Take It Down Act authority as a tool of censorship and extortion.
Human subjugation by uncaring machines is a very plausible path to a different singularity.
Stop Using Vulnerability Counts to Measure Software Security
A project with a history of vulnerability fixes doesn't mean it is less secure.
A truly global approach to AI can only emerge by emphasizing the centrality of culture, understood as the ideas, customs, and social behaviors of a people, a period, a group, or humanity in general.
Concerning the Responsible Use of AI in the U.S. Criminal Justice System
Proprietary AI systems should not play a role in the justice system of a society that values individual rights and government accountability.
The vulnerability of LLMs to hallucination, prompt injection, and jailbreaks poses a significant but surmountable challenge to their widespread adoption.
A historical perspective on tackling new cyber challenges and securing the future of the computing infrastructure.
An Analysis of the Impact of Gold Open Access Publications in Computer Science
Analyzing the differences in quality and practices of new open access and traditional computer science journals.
Socioeconomic Threats of Deepfakes and the Role of Cyber-Wellness Education in Defense
Malicious actors appear to be a step ahead of policymakers and educational institutions developing cyber-wellness education and enforcement programs.
Differentiable Economics: Strategic Behavior, Mechanisms, and Machine Learning
Recent advances have made machine learning a tool for solving longstanding problems in economics.
Technical Perspective: NeuroRadar: Can Radar Systems Be Reimagined Using Computational Principles?
Charting a promising direction toward ubiquitous, intelligent sensing systems that could transform interactions and monitoring within the power limitations of battery-powered devices.
NeuroRadar: A Neuromorphic Radar Sensor for Low-Power IoT Systems
NeuroRadar provides a unique and innovative solution for radar sensing in energy-constrained IoT devices.
Technical Perspective: Memory Efficiency via Offloading in Warehouse-Scale Datacenters
The paper presents an evaluation of TMO deployed across millions of servers in Meta’s datacenters.
TMO: Transparent Memory Offloading in Datacenters
TMO addresses questions of how much memory to offload and what memory to offload.
Embracing Her Critics To Refine VoIP
"When I started listening to what my critics were actually saying, I thought, 'Okay, then that’s what we’re going to do. Thank you for letting me know.'"