Tootfinder

“I have finished your building”, he said archly.

Deck us all with Boston Charlie,
Walla Walla, Wash., an' Kalamazoo!
Nora's freezin' on the trolley,
Swaller dollar cauliflower, alleygaroo!
Don't we know archaic barrel,
Lullaby Lilla Boy, Louisville Lou.
Trolley Molly don't love Harold,
Boola boola Pensacoola hullabaloo!
-- Pogo, "Deck Us All With Boston Charlie" [Walt Kelly]

Paris s'éveille
Hype, the world’s largest hydrogen taxi operator, is to cease operating its fleet of hydrogen taxis in the Paris area
When the reality of #hydrogen costs hits home (and you still don't want to believe it)

'A form of oligopoly' | World’s largest hydrogen taxi operator hurls accusations at supply giants as it quits H2 in Paris
Hype argues that Air Liquide and TotalEnergies have presided over doubling of H2 prices in four years — which it says is blocking a credible path to green hydrogen use

"Dune Awakening" angespielt: Arrakis sehen und sterben
Funcom schickt die Fans mit dem Survival-Abenteuer "Dune: Awakening" in das populäre Sci-Fi-Universum. Ein Spiel für geduldige Abenteurer.

GenRecal: Generation after Recalibration from Large to Small Vision-Language Models
Byung-Kwan Lee, Ryo Hachiuma, Yong Man Ro, Yu-Chiang Frank Wang, Yueh-Hua Wu
https://arxiv.org/abs/2506.15681

GenRecal: Generation after Recalibration from Large to Small Vision-Language Models
Recent advancements in vision-language models (VLMs) have leveraged large language models (LLMs) to achieve performance on par with closed-source systems like GPT-4V. However, deploying these models in real-world scenarios, particularly on resource-constrained devices, remains challenging due to their substantial computational demands. This has spurred interest in distilling knowledge from large VLMs into smaller, more efficient counterparts. A key challenge arises here from the diversity of VL…

Quantum Parameter Estimation Uncertainty Relation
Bing-Shu Hu, Xiao-Ming Lu
https://arxiv.org/abs/2506.15352 https://arxiv.org/pdf/25…

Quantum Parameter Estimation Uncertainty Relation
Quantum multiparameter estimation aims to simultaneously estimate multiple parameters from observing quantum systems and data processing. The complexity of quantum multiparameter estimation arises primarily from measurement incompatibility and parameter correlations. By manipulating the multidimensional parameter space, we derive an estimation uncertainty relation that captures the impact of measurement incompatibility and parameter correlation on quantum two-parameter estimation. This uncertai…

On Exact Solutions to the Linear Bellman Equation
David Ohlin, Richard Pates, Murat Arcak
https://arxiv.org/abs/2506.15527 https://ar…

On Exact Solutions to the Linear Bellman Equation
This paper presents sufficient conditions for optimal control of systems with dynamics given by a linear operator, in order to obtain an explicit solution to the Bellman equation that can be calculated in a distributed fashion. Further, the class of Linearly Solvable MDP is reformulated as a continuous-state optimal control problem. It is shown that this class naturally satisfies the conditions for explicit solution of the Bellman equation, motivating the extension of previous results to semili…

Drecksarbeit https://www.german-foreign-policy.com/news/detail/10024

High-Entropy Skutterudites as Thermoelectrics: Synthesizability and Band Convergence via the Cocktail Effect
Jose J. Plata, Antonio Morales-Altarejos, Elena R. Remesal, Victor Posligua, Antonio M. M\'arquez
https://arxiv.org/abs/2506.15324

High-Entropy Skutterudites as Thermoelectrics: Synthesizability and Band Convergence via the Cocktail Effect
High entropy materials offer a promising avenue for thermoelectric materials discovery, design, and optimization. However, the large chemical spaces that need to be explored hamper their development. In this work, a large family of high-entropy skutterudites is explored as promising thermoelectric materials. Their synthesizability is screened and rationalized using the disordered enthalpy-entropy descriptor through high-throughput density functional theory calculations. In the case of high-entr…

Quantum-inspired algorithm for simulating viral response
D. O. Konina, D. I. Korbashov, I. V. Kovalchuk, A. A. Nizamieva, D. A. Chermoshentsev, A. K. Fedorov
https://arxiv.org/abs/2506.15671

Quantum-inspired algorithm for simulating viral response
Understanding the properties of biological systems is an exciting avenue for applying advanced approaches to solving corresponding computational tasks. A specific class of problems that arises in the resolution of biological challenges is optimization. In this work, we present the results of a proof-of-concept study that applies a quantum-inspired optimization algorithm to simulate a viral response. We formulate an Ising-type model to describe the patterns of gene activity in host responses. Re…