Tootfinder

student_cooperation: Student cooperation (2012)
Network of cooperation among students in the "Computer and Network Security" course at Ben-Gurion University, in 2012. Nodes are students, and edges denote cooperation between students while doing their homework. The graph contains three types of links: Time, Computer, Partners.
This network has 185 nodes and 360 edges.
Tags: Social, Offline, Multigraph, Unweighted

Ukrainian hackers wipe databases at Russia's Gazprom in major cyberattack, intelligence source says: https://benborges.xyz/2025/07/18/ukrainian-hackers-wipe-databases-at.html

7 Nanometer: China testet angeblich heimisches Lithografie-System
Chinas größter Chipfertiger SMIC soll Lithografie-System von Yuliangsheng testen. Sie könnten langfristig manche ASML-Anlagen ersetzen.
http…

HCOMC: A Hierarchical Cooperative On-Ramp Merging Control Framework in Mixed Traffic Environment on Two-Lane Highways
Tianyi Wang, Yangyang Wang, Jie Pan, Junfeng Jiao, Christian Claudel
https://arxiv.org/abs/2507.11621

HCOMC: A Hierarchical Cooperative On-Ramp Merging Control Framework in Mixed Traffic Environment on Two-Lane Highways
Highway on-ramp merging areas are common bottlenecks to traffic congestion and accidents. Currently, a cooperative control strategy based on connected and automated vehicles (CAVs) is a fundamental solution to this problem. While CAVs are not fully widespread, it is necessary to propose a hierarchical cooperative on-ramp merging control (HCOMC) framework for heterogeneous traffic flow on two-lane highways to address this gap. This paper extends longitudinal car-following models based on the int…

New Book: Cooperative Evangelist: Kagawa Toyohiko and His World, 1888–1960 https://networks.h-net.org/group/announcements/20125742/new-book-cooperative-evangelist-kagawa-toyohiko-and-his-world-1888

TFMAdapter: Lightweight Instance-Level Adaptation of Foundation Models for Forecasting with Covariates
Afrin Dange, Sunita Sarawagi
https://arxiv.org/abs/2509.13906 https://

TFMAdapter: Lightweight Instance-Level Adaptation of Foundation Models for Forecasting with Covariates
Time Series Foundation Models (TSFMs) have recently achieved state-of-the-art performance in univariate forecasting on new time series simply by conditioned on a brief history of past values. Their success demonstrates that large-scale pretraining across diverse domains can acquire the inductive bias to generalize from temporal patterns in a brief history. However, most TSFMs are unable to leverage covariates -- future-available exogenous variables critical for accurate forecasting in many appl…

HYCO: Hybrid-Cooperative Learning for Data-Driven PDE Modeling
Lorenzo Liverani, Matthys Steynberg, Enrique Zuazua
https://arxiv.org/abs/2509.14123 https://

HYCO: Hybrid-Cooperative Learning for Data-Driven PDE Modeling
We present Hybrid-Cooperative Learning (HYCO), a hybrid modeling framework that iteratively integrates physics-based and data-driven models through a mutual regularization mechanism. Unlike traditional approaches that impose physical constraints directly on synthetic models, HYCO treats the physical and synthetic components as co-trained agents: the physical and synthetic models are nudged toward agreement, while the synthetic model is enhanced to better fit the available data. This cooperative…

KI-gestützte Cyberangriffe: Experten beobachten zunehmenden LLM-Einsatz
Erstmals wurde russische Spionagesoftware entdeckt, die mit Large Language Models entwickelt wurde. Experten sehen einen Wendepunkt im Cyberwettrüsten.

UK sanctions Russian intelligence units involved in cyberattacks: https://benborges.xyz/2025/07/18/uk-sanctions-russian-intelligence-units.html

Chipfertigung in Deutschland: ESMC-Chef Dr. Christian Koitzsch im Interview
Wir hatten die Gelegenheit, mit dem Chef von TSMCs erster europäischer Niederlassung zu sprechen: ESMC-Präsident Dr. Christian Koitzsch.