GitHub says it's investigating "unauthorized access" to its internal repositories, and there's no proof of customer data outside its repositories being impacted (@github)
https://x.com/github/status/2056884788179726685
Grande surprise Š la CNIL: Si rien n'est poursuivi, rien n'est imposé, la protection des données est ignoré pour faire des profits faramineux.
https://www.franceinfo.fr/interne…
Spatio-Temporal Signatures of Intermittency in Helically Rotating Turbulence through Topological Data Analysis
Snigdhashree Mallick (International Institute of Information Technology, Bangalore, India), Yashwanth Ramamurthi (International Institute of Information Technology, Bangalore, India), Shiva Kumar Malapaka (International Institute of Information Technology, Bangalore, India), Amit Chattopadhyay (International Institute of Information Technology, Bangalore, India)
https://arxiv.org/abs/2605.17560 https://arxiv.org/pdf/2605.17560 https://arxiv.org/html/2605.17560
arXiv:2605.17560v1 Announce Type: new
Abstract: A central challenge in hydrodynamic turbulence is identifying precisely when, and at which length scales, strong turbulent fluctuations (STFs) emerge and develop into intermittent events, which are often obscured by conventional statistical diagnostics. We address this problem by applying a Topological Data Analysis (TDA) framework to reveal the spatiotemporal signatures of intermittency in low-resolution ($128^3$) helically rotating turbulent flows. Vorticity magnitude and length-scale (eddy size) fields are used as scalar observables for TDA: vorticity characterizes rotational dynamics that generate multiscale flow structures, while length-scale fields encode the scales at which intermittent activity arises. Their evolving topology is quantified using persistence diagrams and Wasserstein-distance metrics. Compared with traditional statistical approaches, this framework is more sensitive to localized and short-lived flow variations, enabling clearer detection of intermittent behavior. Pronounced variations in Wasserstein-distance heatmaps provide direct signatures of STFs across space and time. Together, these results demonstrate that TDA offers an effective complementary tool for detecting STFs that lead to intermittency within turbulent regime.
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Approaching background sounds extend the duration of foreground auditory stimuli https://www.nature.com/articles/s41598-026-58785-4 "blindfolded participants passively listened to (background) approaching, receding, or scrambled (control) motion sounds, which were rendered using…
L’humanité grandit, les Indiens rapetissent
https://www.lemonde.fr/international/article/2026/05/19/l-humanite-grandit-les-indiens-rapetissent_6691251_3210.html
us_roads: United States roads (2000)
The road networks of the 50 US States and the District of Columbia based on UA Census 2000 TIGER/Line Files. Edges are stretches of road and vertices are intersections of roads. The data sets were assembled by Dominik Schultes. The 'merged' network contains all the states merged together.
This network has 497458 nodes and 629750 edges.
Tags: Transportation, Roads, Unweighted
Sharing stats from the UK's #InternationalMuseumDay #IMD2026 @icomuk.b…
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Onlookers floored as Trump's astounding proposal to Xi revealed: 'Of course he did' - Raw Story
https://www.rawstory.com/trump-xi-2676912260/
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https://www.lemonde.fr/international/article/2026/05/19/guerre-en-ukraine-…