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@Techmeme@techhub.social
2025-07-03 05:55:52

A look at the ~$377 TranscribeGlass smart glasses that use AI to subtitle conversations in nearly real time, built for the deaf or hard-of-hearing (Boone Ashworth/Wired)
wired.com/story/these-translat

These Transcribing Eyeglasses Put Subtitles on the World
TranscribeGlass can subtitle conversations in nearly real time and will soon be able to translate languages and tell you when the person you’re talking to you is feeling socially awkward.

@qbi@freie-re.de
2025-07-02 11:55:55

Freut ihr euch auch so über das »schöne Wetter«?
mdr.de/nachrichten/thueringen/

"Schmelzende Straßen" in Thüringen: Ist Hitze die Ursache?
Die hohen Temperaturen machen auch manchen Straßen in Thüringen zu schaffen - vor allem in Kombination mit schweren Fahrzeugen. In zwei Regionen sind Straßen vorübergehend gesperrt worden.

@lysander07@sigmoid.social
2025-06-03 07:51:19

In his keynote, Raphael Troncy is asking whether we should keep building knowledge graphs....taking into account 20 years of experience in building knowledge graphs
2025.eswc-conferences.org/keyn

The image shows a presentation setting with a speaker standing at a podium. The speaker is a man wearing a light-colored shirt and a lanyard, addressing an audience. Behind him, a large screen displays a slide with a blue background and white text. The slide's title reads "Building Knowledge Graphs For 20 Years: Should We Keep Doing This?" and includes the name "Prof. Raphael Troncy" below the title. The presentation appears to be taking place in a conference or seminar room, with a plain wall …

Keynotes Announcement: Raphaël Troncy
We are pleased to announce that Raphaël Troncy is going to be one of our keynotes!Here some words about what he’s going to talk about at ESWC 2025:  Title: "Building Knowledge Graphs For 20 Years: Should We

@netzschleuder@social.skewed.de
2025-06-03 09:00:04

ecoli_transcription: E. coli transcription network (2002)
Network of operons and their pairwise interactions, via transcription factor-based regulation, within the bacteria Escherichia coli.
This network has 423 nodes and 578 edges.
Tags: Biological, Gene regulation, Unweighted
networks.s…

ecoli_transcription: E. coli transcription network (2002). 423 nodes, 578 edges. https://networks.skewed.de/net/ecoli_transcription#v1.1

ecoli_transcription — E. coli transcription network (2002)
Network of operons and their pairwise interactions, via transcription factor-based regulation, within the bacteria Escherichia coli

@doktrock@toad.social
2025-06-04 00:45:42

Report: 98 Percent Of U.S. Commuters Favor Public Transportation For Others
theonion.com/report-98-percent

Report: 98 Percent Of U.S. Commuters Favor Public Transportation For Others
WASHINGTON, DC–A study released Monday by the American Public Transportation Association reveals that 98 percent of Americans support the use of mass transit by others.

@servelan@newsie.social
2025-06-04 06:26:52

Sad to say, Washington has 6 anti-trans bills.
So far in 2025, there are 701 anti-trans bills making their way through the American legislative bodies. Trans Legislation Tracker monitors this harmful legislation, bill by bill, so that our community can stay informed.
Legislation Dashboard - TransLash Media
translash.org/projects/legisla

@UlrikeHeiss@eldritch.cafe
2025-07-03 04:59:14
Content warning: CN Gewalt gegen trans Person

butenunbinnen.de/nachrichten/a

18-jährige Transperson in Bremen brutal zusammengeschlagen
Laut Polizei hat sich der Angriff am Montagabend an einer Straßenbahnhaltestelle ereignet. Die Täter schlugen und traten die Person mehrfach und flüchteten anschließend.

@arXiv_mathGT_bot@mastoxiv.page
2025-06-03 07:35:57

Menelaus' and Ceva's theorems for translation triangles in Thurston geometries
Jen\H{o} Szirmai
arxiv.org/abs/2506.01354

Menelaus' and Ceva's theorems for translation triangles in Thurston geometries
After having investigated and defined the ``surface of a translation-like triangle" in each non-constant curvature Thurston geometry \cite{Cs-Sz25}, we generalize the famous Menelaus' and Ceva's theorems for translation triangles in the mentioned spaces. The described method makes it possible to transfer further classical Euclidean theorems and notions to Thurston geometries with non-constant curvature. In our work we will use the projective models of Thurston geometries described by E. MolnÃ…

@netzschleuder@social.skewed.de
2025-06-04 10:00:05

hiv_transmission: HIV transmission network (1988-2001)
A set of networks of HIV transmissions between people through sexual, needle-sharing, or social connections, based on combining 8 datasets collected from 1988 to 2001. Metadata includes test results of several diseases, as well as demographic variables such as age, ethnicity, and gender. Networks come in two flavors: egodyads and altdyads. Egodyads are the network among study-participants and their direct partners. Altdyads are the…

hiv_transmission: HIV transmission network (1988-2001). 35229 nodes, 85890 edges. https://networks.skewed.de/net/hiv_transmission

hiv_transmission — HIV transmission network (1988-2001)
A set of networks of HIV transmissions between people through sexual, needle-sharing, or social connections, based on combining 8 datasets collected from 1988 to 2001. Metadata includes test results of several diseases, as well as demographic variables such as age, ethnicity, and gender. Networks come in two flavors: egodyads and altdyads. Egodyads are the network among study-participants and their direct partners. Altdyads are the network among people who are connected to the egodyad network. …

@netzschleuder@social.skewed.de
2025-06-03 20:00:03

game_thrones: Game of Thrones coappearances
Network of coappearances of characters in the Game of Thrones series, by George R. R. Martin, and in particular coappearances in the book "A Storm of Swords." Nodes are unique characters, and edges are weighted by the number of times the two characters' names appeared within 15 words of each other in the text.
This network has 107 nodes and 352 edges.
Tags: Social, Fictional, Weighted

game_thrones: Game of Thrones coappearances. 107 nodes, 352 edges. https://networks.skewed.de/net/game_thrones

game_thrones — Game of Thrones coappearances
Network of coappearances of characters in the Game of Thrones series, by George R. R. Martin, and in particular coappearances in the book "A Storm of Swords." Nodes are unique characters, and edges are weighted by the number of times the two characters' names appeared within 15 words of each other in the text.