Tootfinder

A statement from iNaturalist on experimenting with “AI-Assisted Identification Summaries” in 'Exploring New Ways to Learn from iNaturalist’s Community Expertise' https://www.inaturalist.org/blog/118695-exploring-new-ways…

Am I Productive? Exploring the Experience of Remote Workers with Task Management Tools
Russell Beale
https://arxiv.org/abs/2510.06816 https://arxiv.org/pdf…

Am I Productive? Exploring the Experience of Remote Workers with Task Management Tools
As the world continues to change, more and more knowledge workers are embracing remote work. Yet this comes with its challenges for their productivity, and while many Task Management applications promise to improve the productivity of remote workers, it remains unclear how effective they are. Based on existing frameworks, this study investigated the productivity needs and challenges of remote knowledge workers and how they use Task Management tools. The research was conducted through a 2-week l…

ExpIDS: A Drift-adaptable Network Intrusion Detection System With Improved Explainability
Ayush Kumar, Kar Wai Fok, Vrizlynn L. L. Thing
https://arxiv.org/abs/2509.20767 https:/…

ExpIDS: A Drift-adaptable Network Intrusion Detection System With Improved Explainability
Despite all the advantages associated with Network Intrusion Detection Systems (NIDSs) that utilize machine learning (ML) models, there is a significant reluctance among cyber security experts to implement these models in real-world production settings. This is primarily because of their opaque nature, meaning it is unclear how and why the models make their decisions. In this work, we design a deep learning-based NIDS, ExpIDS to have high decision tree explanation fidelity, i.e., the prediction…