Tootfinder

Strategische Umsetzung beginnt: IT-Planungsrat beschließt erste Projektvorhaben der föderalen Digitalstrategie
https://www.it-planungsrat.de/aktuelles/details/strategisc…

2026 und 2027: iPhone-Schwemme in Planung?
Bis zu sechs neue iPhones der 18er-Baureihe könnte Apple für die kommenden zwei Jahre planen. Das behaupten zumindest Gerüchteköche aus China.
https://www.he…

Russia May Be Planning Violent Protests After The Moldovan Elections.
https://understandingwar.org/research/russia-ukraine/warning-russia-may-be-planning-violent-protests-after-the-moldovan-elections/

WARNING: Russia May Be Planning Violent Protests After the Moldovan Elections
Warning: The Kremlin is setting conditions to generate possibly violent protests to remove Moldovan President Maia Sandu from power.

Detecting and Characterizing Planning in Language Models
Jatin Nainani, Sankaran Vaidyanathan, Connor Watts, Andre N. Assis, Alice Rigg
https://arxiv.org/abs/2508.18098 https://…

Detecting and Characterizing Planning in Language Models
Modern large language models (LLMs) have demonstrated impressive performance across a wide range of multi-step reasoning tasks. Recent work suggests that LLMs may perform planning - selecting a future target token in advance and generating intermediate tokens that lead towards it - rather than merely improvising one token at a time. However, existing studies assume fixed planning horizons and often focus on single prompts or narrow domains. To distinguish planning from improvisation across mode…

Comparative Analysis of UAV Path Planning Algorithms for Efficient Navigation in Urban 3D Environments
Hichem Cheriet, Khellat Kihel Badra, Chouraqui Samira
https://arxiv.org/abs/2508.16515

Comparative Analysis of UAV Path Planning Algorithms for Efficient Navigation in Urban 3D Environments
The most crucial challenges for UAVs are planning paths and avoiding obstacles in their way. In recent years, a wide variety of path-planning algorithms have been developed. These algorithms have successfully solved path-planning problems; however, they suffer from multiple challenges and limitations. To test the effectiveness and efficiency of three widely used algorithms, namely A*, RRT*, and Particle Swarm Optimization (PSO), this paper conducts extensive experiments in 3D urban city environ…

Amazon's VP of Generative AI Vasi Philomin left for another company; VP of Amazon Elastic Block Store Rajesh Sheth assumed some of Philomin's responsibilities (Greg Bensinger/Reuters)
https://www.reuters.com/business/retail-co…

Urban Comfort Assessment in the Era of Digital Planning: A Multidimensional, Data-driven, and AI-assisted Framework
Sijie Yang, Binyu Lei, Filip Biljecki
https://arxiv.org/abs/2508.16057

Urban Comfort Assessment in the Era of Digital Planning: A Multidimensional, Data-driven, and AI-assisted Framework
Ensuring liveability and comfort is one of the fundamental objectives of urban planning. Numerous studies have employed computational methods to assess and quantify factors related to urban comfort such as greenery coverage, thermal comfort, and walkability. However, a clear definition of urban comfort and its comprehensive evaluation framework remain elusive. Our research explores the theoretical interpretations and methodologies for assessing urban comfort within digital planning, emphasising…

A recurrence for certain Tutte polynomials and a depth-first search conjecture
Vincent Brugidou
https://arxiv.org/abs/2509.20959 https://arxiv.org/pdf/2509…

A recurrence for certain Tutte polynomials and a depth-first search conjecture
We combinatorially prove a recurrence between the Tutte polynomials of graphs obtained by contraction of the complete graphs $K_{n}$%. This generalizes to two variables a relation previously obtained by the author between the inversion enumerating polynomials in the colored trees. A combinatorial interpretation concerning certain polynomials recently introduced by the author via the theory of symmetric functions is also conjectured . This intrepretation uses the depth-first search.

Near Time-Optimal Hybrid Motion Planning for Timber Cranes
Marc-Philip Ecker, Bernhard Bischof, Minh Nhat Vu, Christoph Fr\"ohlich, Tobias Gl\"uck, Wolfgang Kemmetm\"uller
https://arxiv.org/abs/2506.20314

Near Time-Optimal Hybrid Motion Planning for Timber Cranes
Efficient, collision-free motion planning is essential for automating large-scale manipulators like timber cranes. They come with unique challenges such as hydraulic actuation constraints and passive joints-factors that are seldom addressed by current motion planning methods. This paper introduces a novel approach for time-optimal, collision-free hybrid motion planning for a hydraulically actuated timber crane with passive joints. We enhance the via-point-based stochastic trajectory optimizatio…

Urban Comfort Assessment in the Era of Digital Planning: A Multidimensional, Data-driven, and AI-assisted Framework
Sijie Yang, Binyu Lei, Filip Biljecki
https://arxiv.org/abs/2508.16057

Urban Comfort Assessment in the Era of Digital Planning: A Multidimensional, Data-driven, and AI-assisted Framework
Ensuring liveability and comfort is one of the fundamental objectives of urban planning. Numerous studies have employed computational methods to assess and quantify factors related to urban comfort such as greenery coverage, thermal comfort, and walkability. However, a clear definition of urban comfort and its comprehensive evaluation framework remain elusive. Our research explores the theoretical interpretations and methodologies for assessing urban comfort within digital planning, emphasising…