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Showing 182110 results for "program development"
Computer Science Preprint PDF DOI

Curiosity and Metacognition: Towards a Unified Framework for Learning and Education in the Age of AI

Chloe Desvaux, Rania Abdelghani, Pierre-Yves Oudeyer, Helene Sauzeon ยท 2026

This chapter examines the relationship between curiosity and metacognition as critical drivers of autonomous and self-regulated learning. We synthesize recent research to propose a unified framework iโ€ฆ

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Chemistry Preprint PDF DOI

AI-Powered Surrogate Modelling for Multiscale Combustion: A Critical Review and Opportunities

Amirali Shateri, Zhiyin Yang, Yuying Yan, Manosh C. Paul, Jianfei Xie ยท 2026

Recent advances in combustion science have led to the generation of large volumes of data from high-fidelity simulations, detailed chemical-kinetic calculations and engine-relevant measurements and crโ€ฆ

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Physics Preprint PDF DOI

Optimizing ground state preparation protocols with autoresearch

Luis Mantilla Calderon, Jerome F. Gonthier, Ignacio Gustin, Varinia Bernales, Alan Aspuru-Guzik ยท 2026

Artificial intelligent language-model based coding agents have significantly changed the way we interact with computers in our day-to-day, as it is common to use them to create, improve, and run progrโ€ฆ

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Physics Preprint PDF DOI

HyGAL: Characterizing the Galactic ISM with observations of hydrides and other small molecules. III. The absorption lines of [O I], CH, and OH

W.-J. Kim, A. M. Jacob, D. A. Neufeld, P. Schilke, H. Wiesemeyer, M. Gerin, M. G. Wolfire, V. Ossenkopf-Okada, V. Valdivia, E. Falgarone, D. C. Lis, S. Bialy, M. R. Rugel, A. Sanchez-Monge, M. Busch, T. Moller, F. Wyrowski, D. Seifried, K. M. Menten, A. Saintonge ยท 2026

The HyGAL Stratospheric Observatory for Infrared Astronomy (SOFIA) legacy program aims at characterizing the interstellar medium in the Milky Way using hydrides, [C II], and [O I] absorption lines witโ€ฆ

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Computer Science Preprint PDF DOI

An Empirical Analysis of Mobile Energy Consumption Across User Configurations

Wellington Oliveira ยท 2026

Mobile devices have become ubiquitous tools for communication, entertainment, and productivity, yet battery autonomy remains a constraint. While energy-saving tips exist, they are often generic, anecdโ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

Representing the Surface Ocean in ECMWF's data-driven forecasting system AIFS

Sara Hahner, Lorenzo Zampieri, Jean-Raymond Bidlot, Philip Browne, Matthew Chantry, Mariana C. A. Clare, Harrison Cook, Peter Dueben, Rachel Furner, Sarah Keeley, Josh Kousal, Simon Lang, Christian Lessig, Gert Mertes, Kristian Mogensen, Gabriel Moldovan, Charles Pelletier, Florian Pinault, Ana Prieto Nemesio, Baudouin Raoult, Irina Sandu, Mario Santa Cruz, Jakob Schloer, Steffen Tietsche, Hao Zuo ยท 2026

Machine-learning (ML) models, such as the AIFS at the ECMWF, have revolutionised weather forecasting in recent years. We present an extension of the AIFS that jointly models the atmosphere and surfaceโ€ฆ

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Physics Preprint PDF DOI

Background Remover -- an effective tool for processing noisy microscopy images

Anna Kilian, Pawe{l} Bilski, Ma{l}gorzata Sankowska ยท 2026

Background Remover (BGR) is a novel software tool developed as a plugin to the well-known ImageJ program and designed to address the challenges of analysing fluorescent microscopy images characterizedโ€ฆ

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AI & Data Science Preprint PDF DOI

Automated Adversarial Collaboration for Advancing Theory Building in the Cognitive Sciences

Suyog Chandramouli, George Kachergis, Akshay Jagadish ยท 2026

Cognitive science often evaluates theories through narrow paradigms and local model comparisons, limiting the integration of evidence across tasks and realizations. We introduce an automated adversariโ€ฆ

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Computer Science Preprint PDF DOI

Proof Identity and Categorical Models of BV

Matteo Acclavio, Lutz Stra{ss}burger, Vladimir Zamdzhiev ยท 2026

BV-categories are a recent development that aims to give categorical semantics to proofs in the logic BV. However, due to the absence of a coherence theorem on one side and a well-defined notion of prโ€ฆ

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AI & Data Science Preprint PDF DOI

EvoTSC: Evolving Feature Learning Models for Time Series Classification via Genetic Programming

Xuanhao Yang, Bing Xue, Mengjie Zhang ยท 2026

Time series classification is an important analytical task across diverse domains. However, its practical application is often hindered by the scarcity of labeled data and the requirement for substantโ€ฆ

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Computer Science Preprint PDF DOI

Generative UI as an Accessibility Bridge: Lessons from C2C E-Commerce

Bektur Ryskeldiev ยท 2026

Web accessibility rests on static standards and developer compliance. That model frays in platforms where content is user-generated: photos arrive blurry or off-frame, descriptions skip size and condiโ€ฆ

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Mathematics Preprint PDF DOI

The threshold for linear independence of multiple zeta values in positive characteristic

Bo-Hae Im, Hojin Kim, Tuan Ngo Dac ยท 2026

A fundamental conjecture formulated by Thakur in 2009, which has guided significant developments in function field arithmetic, asserts that multiple zeta values (MZV's) in positive characteristic of fโ€ฆ

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AI & Data Science Preprint PDF DOI

One Refiner to Unlock Them All: Inference-Time Reasoning Elicitation via Reinforcement Query Refinement

Yixiao Zhou, Dongzhou Cheng, zhiliang wu, Yi Yang, Yu Cheng, Hehe Fan ยท 2026

Large Language Models (LLMs) often fail to utilize their latent reasoning capabilities due to a distributional mismatch between ambiguous human inquiries and the structured logic required for machine โ€ฆ

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Computer Science Preprint PDF DOI

Recommending Usability Improvements with Multimodal Large Language Models

Sebastian Lubos, Alexander Felfernig, Damian Garber, Viet-Man Le, Manuel Henrich ยท 2026

Usability describes quality attributes of application user interfaces that determine how effectively users can interact with them. Traditional usability evaluation methods require considerable expertiโ€ฆ

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AI & Data Science Preprint PDF DOI

Language corpora for the Dutch medical domain

B. van Es ยท 2026

\textbf{Background:} Dutch medical corpora are scarce, limiting NLP development. \\ \textbf{Methods:} We translated English datasets, identified medical text in generic corpora, and extracted open Dutโ€ฆ

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AI & Data Science Preprint PDF DOI

Multi-action Tangled Program Graphs for Multi-task Reinforcement Learning with Continuous Control

Quentin Vacher (IETR), Nicolas Beuve (IETR), Mickael Dardaillon (IETR), Karol Desnos (IETR) ยท 2026

Over the past few decades, machine learning has been widely used to learn complex tasks. Reinforcement Learning (RL), inspired by human behavior, is a great example, as it involves developing specificโ€ฆ

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AI & Data Science Preprint PDF DOI

On the use of satellite information to estimate agricultural carbon footprint in a small area framework

Riccardo Pajno, Felicetta Carillo, Paolo Maranzano, Timo Schmid, Riccardo Borgoni ยท 2026

The agricultural sector is undergoing rapid change due to climate pressures, demographic shifts, and uneven economic development, increasing the demand for reliable environmental indicators at fine spโ€ฆ

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Computer Science Preprint PDF DOI

Fixed-parameter tractable inference for discrete probabilistic programs, via string diagram algebraisation

Benedikt Peterseim, Milan Lopuhaa-Zwakenberg ยท 2026

Discrete probabilistic programs (DPPs) provide a highly expressive formalism for compactly defining arbitrary finite probabilistic models. This expressivity comes at a price: DPP inference is PSPACE-hโ€ฆ

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Computer Science Preprint PDF DOI

Cutscene Agent: An LLM Agent Framework for Automated 3D Cutscene Generation

Lanshan He, Haozhou Pang, Qi Gan, Xin Shen, Ziwei Zhang, Yibo Liu, Gang Fang, Bo Liu, Kai Sheng, Shengfeng Zeng, Chaofan Li, Zhen Hui, Keer Zhou, Lan Zhou, Shujun Dai ยท 2026

Cutscenes are carefully choreographed cinematic sequences embedded in video games and interactive media, serving as the primary vehicle for narrative delivery, character development, and emotional engโ€ฆ

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Physics Preprint PDF DOI

Benchmarking Universal Machine-Learned Interatomic Potentials for High-Temperature Metal-Organic Framework Chemistry

Connor W. Edwards, Jack D. Evans ยท 2026

Universal machine-learned interatomic potentials (uMLIPs) offer a promising approach to performing atomistic simulations at near-DFT accuracy with greatly reduced computational cost. Here, we present โ€ฆ

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