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Google handed over a trove of personal data
about a student and journalist to U.S. Immigration and Customs Enforcement
in response to a subpoena that had not been approved by a judge, according to a report by The Intercept. 
The search and advertising tech giant provided ICE with the usernames, physical addresses, and an itemized list of services associated with the Google account of Amandla Thomas-Johnson,
a British student and journalist who briefly attended a pro-P…

Google sent personal and financial information of student journalist to ICE | TechCrunch
The tech giant handed over the personal information of a journalist and student who attended a pro-Palestinian protest in 2024. This is the latest example of ICE using its controversial subpoena powers to target people critical of the Trump administration.

Google is introducing new personalized ads in AI mode, powered by Gemini, which allow advertisers to offer exclusives for users preparing to buy a product (Cristina Criddle/Financial Times)
https://www.ft.com/content/957c7438-b2e0-4605-a276-caa8a7ec363c

An internal DHS document shows CBP used location data sourced from the online ad industry to track phone locations; ICE has bought access to similar tools (Joseph Cox/404 Media)
https://www.404media.co/cbp-tapped-into-the-online-advertisin…

CBP Tapped Into the Online Advertising Ecosystem To Track Peoples’ Movements
An internal DHS document obtained by 404 Media shows for the first time CBP used location data sourced from the online advertising industry to track phone locations. ICE has bought access to similar tools.

Schon wenige #Elektroautos können die #Luftqualität messbar verbessern.
Eine Auswertung von #Satellitendaten aus

Forscher kommen zu dem Ergebnis, dass schon wenige E-Autos die Luftqualität verbessern | t3n
Eine lang angelegte Studie hat mithilfe von Satellitendaten untersucht, inwiefern sich batteriebetriebene Fahrzeuge auf den Ausstoß Stickstoffdioxid auswirken. Die Auswertung ist eindeutig. Auch wenn viele Autofahrer:innen in Deutschland weiterhin Vorbehalte gegenüber Elektroautos haben, zeigen die Verkaufszahlen, dass das Interesse an batteriebetriebenen Fahrzeuge wieder deutlich zugenommen hat. Vor allem für Menschen, die in Städten leben, sind […]

Endcap-Type Paul Trap for Precision Spectroscopy and Studies of Controlled Interactions
Anand Prakash, Akhil Ayyadevara, E. Krishnakumar, M. Ibrahim, K. M. Yatheendran, Subhadeep De, Sayan Patra, S. A. Rangwala
https://arxiv.org/abs/2601.07328

https://www.404media.co/cbp-tapped-into-the-online-advertising-ecosystem-to-track-peoples-movements/

CBP Tapped Into the Online Advertising Ecosystem To Track Peoples’ Movements
An internal DHS document obtained by 404 Media shows for the first time CBP used location data sourced from the online advertising industry to track phone locations. ICE has bought access to similar tools.

NATO countries will launch a brand new operation in the Arctic this week,
following US claims that the island of Greenland is facing serious threats from China and Russia.
The Western military alliance is expected to launch "Arctic Sentry", three people with knowledge of the plans said,
in a move to deter foreign adversaries in the high north.
The decision, however, is widely interpreted as political rather than based on concrete security risks.
US Pr…

Incremental (k, z)-Clustering on Graphs
Emilio Cruciani, Sebastian Forster, Antonis Skarlatos
https://arxiv.org/abs/2602.08542 https://arxiv.org/pdf/2602.08542 https://arxiv.org/html/2602.08542
arXiv:2602.08542v1 Announce Type: new
Abstract: Given a weighted undirected graph, a number of clusters $k$, and an exponent $z$, the goal in the $(k, z)$-clustering problem on graphs is to select $k$ vertices as centers that minimize the sum of the distances raised to the power $z$ of each vertex to its closest center. In the dynamic setting, the graph is subject to adversarial edge updates, and the goal is to maintain explicitly an exact $(k, z)$-clustering solution in the induced shortest-path metric.
While efficient dynamic $k$-center approximation algorithms on graphs exist [Cruciani et al. SODA 2024], to the best of our knowledge, no prior work provides similar results for the dynamic $(k,z)$-clustering problem. As the main result of this paper, we develop a randomized incremental $(k, z)$-clustering algorithm that maintains with high probability a constant-factor approximation in a graph undergoing edge insertions with a total update time of $\tilde O(k m^{1 o(1)} k^{1 \frac{1}{\lambda}} m)$, where $\lambda \geq 1$ is an arbitrary fixed constant. Our incremental algorithm consists of two stages. In the first stage, we maintain a constant-factor bicriteria approximate solution of size $\tilde{O}(k)$ with a total update time of $m^{1 o(1)}$ over all adversarial edge insertions. This first stage is an intricate adaptation of the bicriteria approximation algorithm by Mettu and Plaxton [Machine Learning 2004] to incremental graphs. One of our key technical results is that the radii in their algorithm can be assumed to be non-decreasing while the approximation ratio remains constant, a property that may be of independent interest.
In the second stage, we maintain a constant-factor approximate $(k,z)$-clustering solution on a dynamic weighted instance induced by the bicriteria approximate solution. For this subproblem, we employ a dynamic spanner algorithm together with a static $(k,z)$-clustering algorithm.
toXiv_bot_toot

An internal DHS document shows CBP used location data sourced from the online ad industry to track phone locations; ICE has bought access to similar tools (Joseph Cox/404 Media)
https://www.404media.co/cbp-tapped-into-the-online-advertisin…

CBP Tapped Into the Online Advertising Ecosystem To Track Peoples’ Movements
An internal DHS document obtained by 404 Media shows for the first time CBP used location data sourced from the online advertising industry to track phone locations. ICE has bought access to similar tools.