Tootfinder

Microsoft blocks Israel’s use of its technology in mass surveillance of Palestinians | Israel | The Guardian
https://www.theguardian.com/world/2025/sep/25/microsoft-blocks-israels-use-of-its-technology-in-mass-s…

Deep Synthetic Cross-Project Approaches for Software Reliability Growth Modeling
Taehyoun Kim, Duksan Ryu, Jongmoon Baik
https://arxiv.org/abs/2509.16939 https://

Deep Synthetic Cross-Project Approaches for Software Reliability Growth Modeling
Software Reliability Growth Models (SRGMs) are widely used to predict software reliability based on defect discovery data collected during testing or operational phases. However, their predictive accuracy often degrades in data-scarce environments, such as early-stage testing or safety-critical systems. Although cross-project transfer learning has been explored to mitigate this issue by leveraging data from past projects, its applicability remains limited due to the scarcity and confidentiality…

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings
Neal G. Ravindra, Arijit Sehanobish
https://arxiv.org/abs/2509.06966 https://

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings
High-quality, medically validated labels exist for clinical actigraphy data but not for ubiquitous consumer wearables like the Apple Watch. Manually labeling wearables data is expensive and doesn't scale. This paper offers a novel framework that transfers valuable labels from a source domain (e.g., actigraphy) to a target domain (e.g., Apple Watch) without requiring paired data. Instead of working with raw time-series signals, we project both domains into a shared latent embedding space using t…