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Six Fabulous Winners of the National Geographic Photography Competition (LOOK) https://www.goodnewsnetwork.org/six-fabulous-winners-of-the-national-geographic-photography-competition-look/

Six Fabulous Winners of the National Geographic Photography Competition (LOOK)
The winners of the National Geographic Photography Competition for amateurs and pros alike highlight the best in travel photography.

A group of major European media organisations has launched ChatEurope - a chatbot aimed at combating online disinformation.
https://www.computing.co.uk/news-analysis/2025/european-media-consortium-launches-anti-disinformation-chat…

European media consortium launches Euro chatbot to counter fake news
A group of major European media organisations has launched ChatEurope - a chatbot aimed at combating online disinformation.

🪡 Military doctors say they’re not getting enough hands-on experience for combat care
#military

Military doctors say they're not getting enough hands-on experience for combat care
A federal watchdog found that Army and Navy doctors are not maintaining their wartime medical skills, causing some to leave the service.

Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning
Hongbao Li, Ziye Jia, Sijie He, Kun Guo, Qihui Wu
https://arxiv.org/abs/2507.05722

Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning
With the emergence of compute-intensive and delay-sensitive applications in vehicular networks, unmanned aerial vehicles (UAVs) have emerged as a promising complement for vehicular edge computing due to the high mobility and flexible deployment. However, the existing UAV-assisted offloading strategies are insufficient in coordinating heterogeneous computing resources and adapting to dynamic network conditions. Hence, this paper proposes a dual-layer UAV-assisted edge computing architecture base…

A post from the archive 📫:
Overly confident AI
#musings

Validation of the Critical Reflection and Agency in Computing Index: Do Computing Ethics Courses Make a Difference?
Aadarsh Padiyath, Casey Fiesler, Mark Guzdial, Barbara Ericson
https://arxiv.org/abs/2506.06193

Validation of the Critical Reflection and Agency in Computing Index: Do Computing Ethics Courses Make a Difference?
Computing ethics education aims to develop students' critical reflection and agency. We need validated ways to measure whether our efforts succeed. Through two survey administrations (N=474, N=464) with computing students and professionals, we provide evidence for the validity of the Critical Reflection and Agency in Computing Index. Our psychometric analyses demonstrate distinct dimensions of ethical development and show strong reliability and construct validity. Participants who completed com…

Agentic Distributed Computing
Ajay D. Kshemkalyani, Manish Kumar, Anisur Rahaman Molla, Gokarna Sharma
https://arxiv.org/abs/2507.04459 https://

Agentic Distributed Computing
The most celebrated and extensively studied model of distributed computing is the {\em message-passing model,} in which each vertex/node of the (distributed network) graph corresponds to a static computational device that communicates with other devices through passing messages. In this paper, we consider the {\em agentic model} of distributed computing which extends the message-passing model in a new direction. In the agentic model, computational devices are modeled as relocatable or mobile co…

PDHCG: A Scalable First-Order Method for Large-Scale Competitive Market Equilibrium Computation
Huikang Liu, Yicheng Huang, Hongpei Li, Dongdong Ge, Yinyu Ye
https://arxiv.org/abs/2506.06258

PDHCG: A Scalable First-Order Method for Large-Scale Competitive Market Equilibrium Computation
Large-scale competitive market equilibrium problems arise in a wide range of important applications, including economic decision-making and intelligent manufacturing. Traditional solution methods, such as interior-point algorithms and certain projection-based approaches, often fail to scale effectively to large problem instances. In this paper, we propose an efficient computational framework that integrates the primal-dual hybrid conjugate gradient (PDHCG) algorithm with GPU-based parallel comp…

A Survey on Integrating Quantum Computers into High Performance Computing Systems
Philip D\"obler, Manpreet Singh Jattana
https://arxiv.org/abs/2507.03540

A Survey on Integrating Quantum Computers into High Performance Computing Systems
Quantum computers use quantum mechanical phenomena to perform conventionally intractable calculations for specific problems. Despite being universal machines, quantum computers are not expected to replace classical computers, but rather, to complement them and form hybrid systems. This makes integrating quantum computers into high performance computing (HPC) systems an increasingly relevant topic. We present a structured literature review on the integration aspect. We methodologically search li…

Scenarios in Computing Research: A Systematic Review of the Use of Scenario Methods for Exploring the Future of Computing Technologies in Society
Julia Barnett, Kimon Kieslich, Jasmine Sinchai, Nicholas Diakopoulos
https://arxiv.org/abs/2506.05605

Scenarios in Computing Research: A Systematic Review of the Use of Scenario Methods for Exploring the Future of Computing Technologies in Society
Scenario building is an established method to anticipate the future of emerging technologies. Its primary goal is to use narratives to map future trajectories of technology development and sociotechnical adoption. Following this process, risks and benefits can be identified early on, and strategies can be developed that strive for desirable futures. In recent years, computer science has adopted this method and applied it to various technologies, including Artificial Intelligence (AI). Because c…