Tootfinder

Sim, sim, num país e numa região com falta de šgua crónica, que só tende a agravar-se no futuro, isto, com a monumental necessidade de šgua para refrigeração que tem, é realmente uma ideia excelente, não hš dúvida.
https://masto.pt/@tugatech/115372701322930935

Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation
Humza Ashraf, Syed Muhammad Danish, Zeeshan Sattar
https://arxiv.org/abs/2509.09947 https…

Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation
There is a growing concern about the environmental impact of large language models (LLMs) in software development, particularly due to their high energy use and carbon footprint. Small Language Models (SLMs) offer a more sustainable alternative, requiring fewer computational resources while remaining effective for fundamental programming tasks. In this study, we investigate whether prompt engineering can improve the energy efficiency of SLMs in code generation. We evaluate four open-source SLMs…

Efficient Autoregressive Inference for Transformer Probabilistic Models
Conor Hassan, Nasrulloh Loka, Cen-You Li, Daolang Huang, Paul E. Chang, Yang Yang, Francesco Silvestrin, Samuel Kaski, Luigi Acerbi
https://arxiv.org/abs/2510.09477

Efficient Autoregressive Inference for Transformer Probabilistic Models
Transformer-based models for amortized probabilistic inference, such as neural processes, prior-fitted networks, and tabular foundation models, excel at single-pass marginal prediction. However, many real-world applications, from signal interpolation to multi-column tabular predictions, require coherent joint distributions that capture dependencies between predictions. While purely autoregressive architectures efficiently generate such distributions, they sacrifice the flexible set-conditioning…

Mitigating Model Drift in Developing Economies Using Synthetic Data and Outliers
Ilyas Varshavskiy, Bonu Boboeva, Shuhrat Khalilbekov, Azizjon Azimi, Sergey Shulgin, Akhlitdin Nizamitdinov, Haitz Saez de Ocariz Borde
https://arxiv.org/abs/2510.09294

Mitigating Model Drift in Developing Economies Using Synthetic Data and Outliers
Machine Learning models in finance are highly susceptible to model drift, where predictive performance declines as data distributions shift. This issue is especially acute in developing economies such as those in Central Asia and the Caucasus - including Tajikistan, Uzbekistan, Kazakhstan, and Azerbaijan - where frequent and unpredictable macroeconomics shocks destabilize financial data. To the best of our knowledge, this is among the first studies to examine drift mitigation methods on financi…

Engineering High-Order Harmonic Generation through Gas Confinement at Sub-Millimeter Lengths
Agata Azzolin, Gaia Giovannetti, Oliviero Cannelli, Sabine Rockenstein, Guangyu Fan, Md S. Ahsan, Lorenzo Colaizzi, Erik P. M{\aa}nsson, Noah Tettenborn, Linda Oberti, Davide Faccial\`a, Fabio Frassetto, Anna Gabriella Ciriolo, Dario W. Lodi, Alia Ashraf, Cristian Manzoni, Rebeca Mart\'inez V\'azquez, Michele Devetta, Roberto Osellame, Luca Poletto, Salvatore Stagira, Caterina Vozzi, Te…

Engineering High-Order Harmonic Generation through Gas Confinement at Sub-Millimeter Lengths
Attosecond light sources based on high-order harmonic generation (HHG) constitute to date the only table-top solution for producing coherent broadband radiation covering the spectral range from the extreme ultraviolet to the soft X-rays. The so-called emission cutoff can be extended towards higher photon energies by increasing the driving wavelength at the expense of conversion efficiency. An alternative route is to overdrive the process by using higher laser intensities, with the challenging r…

Immigration and Customs Enforcement (#ICE) will seine Fähigkeiten im #PredictivePolicing ausbauen und macht eine Ausschreibung für Datendienstleister:
"The contractor will research and analyze data from commercial and law enforcement databases as well as other publicly accessib…

In #Tützpatz hat #Vattenfall Deutschlands größten #AgriPV Park mit 76 MWp Leistung in Betrieb genommen.
Auf 93 Hektar werden

Deutschlands größter Agri-PV Park geht in Betrieb
Offizieller Dienstbeginn für ein Pionierprojekt der Energiewende: Heute (10.9.) nimmt Vattenfall den bis dato größten deutschen Agri-PV Park „Tützpatz“ in Betrieb. Es ist ein weiterer Schritt des Unternehmens, den Übergang zu fossilfreier Energie zu unterstützen und damit die Gesellschaft voranzubringen. Starke Partnerin ist die Deutsche Telekom AG. Sie nimmt den produzierten Grünstrom für zehn Jahre vollständig ab.

Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report
Riccardo Mereu, Aidan Scannell, Yuxin Hou, Yi Zhao, Aditya Jitta, Antonio Dominguez, Luigi Acerbi, Amos Storkey, Paul Chang
https://arxiv.org/abs/2510.07092

Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report
World models are a powerful paradigm in AI and robotics, enabling agents to reason about the future by predicting visual observations or compact latent states. The 1X World Model Challenge introduces an open-source benchmark of real-world humanoid interaction, with two complementary tracks: sampling, focused on forecasting future image frames, and compression, focused on predicting future discrete latent codes. For the sampling track, we adapt the video generation foundation model Wan-2.2 TI2V-…

Une hausse de température de 10 degrés lors d’une vague de chaleur extrême participe en moyenne Š « doubler le taux de dégradation du plastique » accélérant ainsi l'accumulation des petits fragments dans les chaînes alimentaires.
#Plastique #climat

Important & informative 🧵re #indigenous & #uncontactedpeople
https://masto.ai/@Nonilex/115446627734