Tootfinder

Raiders urged to trade Aidan O'Connell after impressive Cam Miller debut https://www.sportingnews.com/us/nfl/las-vegas-raiders/news/raiders-urged-trade-aidan-oconnell-after-impressive-cam-m…

Kreml reagiert auf Trumps Äußerung zu Atom-U-Booten
In einer ersten Reaktion auf die Erklärung von US-Präsident Donald Trump, er habe die Verlegung von US-Atom-U-Booten angeordnet, mahnt der Kreml zur Vorsicht mit nuklearer Rhetorik. Kremlsprecher Dmitri Peskow spielte die Bedeutung von Trumps Äußerungen herunter und sagte, es sei klar, dass sich US-U-Boote ohnehin bereits in Kampfbereitschaft befän…
🔗

Streit mit Medwedew: Trump setzt Atom-U-Boote in Bewegung
US-Präsident Trump hat die Verlegung von zwei Atom-U-Booten angekündigt - als Reaktion auf Kommentare des russischen Ex-Präsidenten Medwedew. Die beiden streiten sich seit Tagen öffentlich. Welche U-Boote wohin verlegt werden, ist unklar.

Weiter Säbelrasseln - Atom-U-Boote: Kreml mahnt Trump zu „Vorsicht“ #News #Nachrichten

Toward the Autonomous AI Doctor: Quantitative Benchmarking of an Autonomous Agentic AI Versus Board-Certified Clinicians in a Real World Setting
Hashim Hayat, Maksim Kudrautsau, Evgeniy Makarov, Vlad Melnichenko, Tim Tsykunou, Piotr Varaksin, Matt Pavelle, Adam Z. Oskowitz
https://arxiv.org/abs/2507.22902

Toward the Autonomous AI Doctor: Quantitative Benchmarking of an Autonomous Agentic AI Versus Board-Certified Clinicians in a Real World Setting
Background: Globally we face a projected shortage of 11 million healthcare practitioners by 2030, and administrative burden consumes 50% of clinical time. Artificial intelligence (AI) has the potential to help alleviate these problems. However, no end-to-end autonomous large language model (LLM)-based AI system has been rigorously evaluated in real-world clinical practice. In this study, we evaluated whether a multi-agent LLM-based AI framework can function autonomously as an AI doctor in a vir…

Service Placement in Small Cell Networks Using Distributed Best Arm Identification in Linear Bandits
Mariam Yahya, Aydin Sezgin, Setareh Maghsudi
https://arxiv.org/abs/2506.22480 …

Service Placement in Small Cell Networks Using Distributed Best Arm Identification in Linear Bandits
As users in small cell networks increasingly rely on computation-intensive services, cloud-based access often results in high latency. Multi-access edge computing (MEC) mitigates this by bringing computational resources closer to end users, with small base stations (SBSs) serving as edge servers to enable low-latency service delivery. However, limited edge capacity makes it challenging to decide which services to deploy locally versus in the cloud, especially under unknown service demand and dy…

Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It
Yulu Qin, Dheeraj Varghese, Adam Dahlgren Lindstr\"om, Lucia Donatelli, Kanishka Misra, Najoung Kim
https://arxiv.org/abs/2507.13328

Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It
Does vision-and-language (VL) training change the linguistic representations of language models in meaningful ways? Most results in the literature have shown inconsistent or marginal differences, both behaviorally and representationally. In this work, we start from the hypothesis that the domain in which VL training could have a significant effect is lexical-conceptual knowledge, in particular its taxonomic organization. Through comparing minimal pairs of text-only LMs and their VL-trained coun…

Replaced article(s) found for cs.IR. https://arxiv.org/list/cs.IR/new
[1/1]:
- Talking to GDELT Through Knowledge Graphs
Audun Myers, Max Vargas, Sinan G. Aksoy, Cliff Joslyn, Benjamin Wilson, Lee Burke, Tom Grimes

So eine #CarPlay-Todeszone kenne ich auch in #Düsseldorf. Immer an der gleichen Strecke steigt CarPlay bei mindestens einem Auto aus. Android Auto hat dort kein Problem.
"CarPlay-Todeszone" verwirrt Fahrer in Boston | heise online

"CarPlay-Todeszone" verwirrt Fahrer in Boston
Autofahrende melden, dass es in Boston Gegenden gibt, in denen die iPhone-Fahrzeugunterstützung versagt. Betroffen ist wohl auch Android Auto.

Survival of higher overdensity cold gas in a turbulent, multiphase medium
Ashwin Vergis George, Hitesh Kishore Das, Max Gronke
https://arxiv.org/abs/2507.20962 https://

Survival of higher overdensity cold gas in a turbulent, multiphase medium
Cold gas clouds embedded in a hot, turbulent medium are expected to be short-lived due to disruptive hydrodynamic instabilities. However, radiative cooling might allow such clouds to survive and grow. We present 3D \texttt{Athena++} simulations of clouds with a density contrast of $χ= 1000$, exploring turbulent Mach numbers $\mathcal{M}\in (0.25, 0.75)$ and cloud radii chosen to span cooling-to-crushing ratios $α\in [0.001, 10]$. We find a shift in the survival boundary, with cloud survival o…

Inferring Mbh-Mbulge Evolution from the Gravitational Wave Background
Cayenne Matt, Kayhan Gultekin, Luke Kelley, Laura Blecha, Joseph Simon, Gabriella Agazie, Akash Anumarlapudi, Anne Archibald, Zaven Arzoumanian, Jeremy Baier, Paul Baker, Bence B\'ecsy, Adam Brazier, Paul Brook, Sarah Burke-Spolaor, Rand Burnette, Robin Case, James Casey-Clyde, Maria Charisi, Shami Chatterjee, Tyler Cohen, James Cordes, Neil Cornish, Fronefield Crawford, H. Thankful Cromartie, Kathryn Crowter, Me…

Inferring Mbh-Mbulge Evolution from the Gravitational Wave Background
We test the impact of an evolving supermassive black hole (SMBH) mass scaling relation (Mbh-Mbulge) on the predictions for the gravitational wave background (GWB). The observed GWB amplitude is 2-3 times higher than predicted by astrophysically informed models which suggests the need to revise the assumptions in those models. We compare a semi-analytic model's ability to reproduce the observed GWB spectrum with a static versus evolving-amplitude Mbh-Mbulge relation. We additionally consider the…