Tootfinder

Right, so, visualisations of Galloway
1. About 5,000 years after the ice has melted, with widespread forest;
2. About 5,000 years after that, after 200 generations of human settlement.
This is pure simulation, not actual data; but the land it shows as flooded is either still lochs and wetlands, or land we know has historically been drained. The areas of settlement are plausible, and map onto historical settlements.

I just couldn't help myself: Sure, the documentary photo project @… are doing on the villages of the Argentinean Pampa might be rooted in #analogphotography.
But who says that one can’t mix in some #rstats #rayshader data visualisations for the forthcoming project website? As good an excuse as any for looking at how those villages with their small populations are distributed.
A slightly longer writeup – that also explains the pattern one can see – is here: https://tzovar.as/rayshading-argentina/

Right, so, visualisations of Galloway
1. About 5,000 years after the ice has melted, with widespread forest;
2. About 5,000 years after that, after 200 generations of human settlement.
This is pure simulation, not actual data; but the land it shows as flooded is either still lochs and wetlands, or land we know has historically been drained. The areas of settlement are plausible, and map onto historical settlements.

This https://arxiv.org/abs/2404.18405 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Understanding and Shaping Human-Technology Assemblages in the Age of Generative AI
Generative AI capabilities are rapidly transforming how we perceive, interact with, and relate to machines. This one-day workshop invites HCI researchers, designers, and practitioners to imaginatively inhabit and explore the possible futures that might emerge from humans combining generative AI capabilities into everyday technologies at massive scale. Workshop participants will craft stories, visualisations, and prototypes through scenario-based design to investigate these possible futures, res…

S t-SNE - Bringing dimensionality reduction to data streams
Pedro C. Vieira, Jo\~ao P. Montrezol, Jo\~ao T. Vieira, Jo\~ao Gama
https://arxiv.org/abs/2403.17643

S+t-SNE - Bringing dimensionality reduction to data streams
We present S+t-SNE, an adaptation of the t-SNE algorithm designed to handle infinite data streams. The core idea behind S+t-SNE is to update the t-SNE embedding incrementally as new data arrives, ensuring scalability and adaptability to handle streaming scenarios. By selecting the most important points at each step, the algorithm ensures scalability while keeping informative visualisations. Employing a blind method for drift management adjusts the embedding space, facilitating continuous visual…

Yes! #htmx #dotnet #aspnetcore https://<…

ASP.NET Core + Razor + HTMX + Chart.js | endjin
How to combine ASP.NET Core, Razor, and HTMX to power interactive Chart.js visualisations.

This https://arxiv.org/abs/2402.07879 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

3D physical structure and angular expansion of the remnant of the recurrent nova T Pyx
We present the analysis of archival Very Large Telescope (VLT) MUSE and multi-epoch Hubble Space Telescope (HST) WFPC2 and WFC3/UVIS narrow-band observations of the remnant associated with the ejecta of the mid-nineteenth century outburst of the recurrent nova T Pyx. These data sets are used to investigate its true 3D physical structure and the nebular expansion patterns along the line of sight and on the plane of the sky. The VLT MUSE emission line maps and 3D visualisations based on position-…

Self-supervised Visualisation of Medical Image Datasets
Ifeoma Veronica Nwabufo, Jan Niklas B\"ohm, Philipp Berens, Dmitry Kobak
https://arxiv.org/abs/2402.14566

Self-supervised Visualisation of Medical Image Datasets
Self-supervised learning methods based on data augmentations, such as SimCLR, BYOL, or DINO, allow obtaining semantically meaningful representations of image datasets and are widely used prior to supervised fine-tuning. A recent self-supervised learning method, $t$-SimCNE, uses contrastive learning to directly train a 2D representation suitable for visualisation. When applied to natural image datasets, $t$-SimCNE yields 2D visualisations with semantically meaningful clusters. In this work, we u…

Understanding and Shaping Human-Technology Assemblages in the Age of Generative AI
Josh Andres, Chris Danta, Andrea Bianchi, Sungyeon Hong, Zhuying Li, Eduardo B. Sandoval, Charles Martin, Ned Cooper
https://arxiv.org/abs/2404.18405

Understanding and Shaping Human-Technology Assemblages in the Age of Generative AI
Generative AI capabilities are rapidly transforming how we perceive, interact with, and relate to machines. This one-day workshop invites HCI researchers, designers, and practitioners to imaginatively inhabit and explore the possible futures that might emerge from humans combining generative AI capabilities into everyday technologies at massive scale. Workshop participants will craft stories, visualisations, and prototypes through scenario-based design to investigate these possible futures, res…

Bingewatched #TheThreeBodyProblem on #Netflix. Really enjoyed the visualisations.
I had read the book The Three Body Problem by CIXIN LIU, but had struggled to visualise it. Now I am reading it again and it is making more sense.

Weak Simplicial Bisimilarity for Polyhedral Models and SLCS_eta -- Extended Version
Nick Bezhanishvili, Vincenzo Ciancia, David Gabelaia, Mamuka Jibladze, Diego Latella, Mieke Massink, Erik P. de Vink
https://arxiv.org/abs/2404.06131

Weak Simplicial Bisimilarity for Polyhedral Models and SLCS_eta -- Extended Version
In the context of spatial logics and spatial model checking for polyhedral models - mathematical basis for visualisations in continuous space - we propose a weakening of simplicial bisimilarity. We additionally propose a corresponding weak notion of +/--bisimilarity on cell-poset models, a discrete representation of polyhedral models. We show that two points are weakly simplicial bisimilar iff their repesentations are weakly +/--bisimilar. The advantage of this weaker notion is that it leads to…