“As we consider these three risks, we don’t have to speculate about how AI data centers might affect Massachusetts. Consider Ireland, a country with a similar population size, where AI has driven a data center boom. Warehouses full of servers are on pace to use one-third of Ireland’s electricity, drawing from fossil-fuel power plants and wind farms alike. That keeps old, dirty plants on the grid, sucks up renewable energy that otherwise would help replace fossil fuels, and drives up costs fo…
karate: Zachary Karate Club
Network of friendships among members of a university karate club. Includes metadata for faction membership after a social partition. Note: there are two versions of this network, one with 77 edges and one with 78, due to an ambiguous typo in the original study. (The most commonly used is the one with 78 edges.).
This network has 34 nodes and 78 edges.
Tags: Social, Offline, Unweighted
This is frustrating because the unnamed people advising that were wrong. It confuses trapping page focus in a modal to blocking users from using the rest of their browser. Also, ugh APG.
https://css-tricks.com/there-is-no-need-to-trap-focus-on-a-dialog-element/
In #Oberrot im Kreis #SchwäbischHall entsteht ein neuer #Solarpark mit 6,8 MW Leistung.
Über 11600 Module liefern ab Ende 2025 klimafreundlichen Strom für rund 2500 Haushalte. RES un…
Internal documents: Amazon's data center operations total 900 facilities in 50 countries, including AWS colocation facilities, higher than commonly understood (Matt Day/Bloomberg)
https://www.bloomberg.com/news/articles/20
(To the tune of "Rock me Amadeus")
Chamomile, chamomile, chamomile,
Chamomile, chamomile, chamomile,
Chamomile, chamomile, oh, oh, oh chamomile.
Come and calm me chamomile.
Commonwealth Fusion nutzt digitalen Zwilling und KI für die Kernfusion
Commonwealth Fusion Systems will digitale Design-Tools und Künstliche Intelligenz von Siemens und Nvidia einsetzen, um Kernfusion zur Serienreife zu bringen.
Scattering in Time-Varying Drude-Lorentz Models
Bryce Dixon, Calvin M. Hooper, Ian R. Hooper, Simon A. R. Horsley
https://arxiv.org/abs/2511.19322 https://arxiv.org/pdf/2511.19322 https://arxiv.org/html/2511.19322
arXiv:2511.19322v1 Announce Type: new
Abstract: Motivated by recent experiments, the theoretical study of wave propagation in time varying materials is of current interest. Although significant in nearly all such experiments, material dispersion is commonly neglected in theoretical studies. Yet, as we show here, understanding the precise microscopic model for the material dispersion is crucial for predicting experimental outcomes. Here we study the temporal scattering coefficients of four different time-varying Drude-Lorentz models, exploring how an incident continuous wave splits into forward and backward waves due to an abrupt change in plasma frequency. The differences in the predicted scattering are unique to time-varying media, and arise from the exact way in which the time variation appears in the various model parameters. We verify our results using a custom finite difference time domain algorithm, concluding with a discussion of the limitations that arise from using these models with an abrupt change in plasma frequency.
toXiv_bot_toot
Why do we love football? Chuck Klosterman's new book explores America's obsession https://www.nytimes.com/athletic/6994340/2026/01/24/chuck-klosterman-book-football-american-obsession/