Results 71 to 80 of about 29,781 (199)

GitHub Copilot: the perfect Code compLeeter?

CoRR
10 pages, 6 figures.
Ilja Siros, Dave Singelée, Bart Preneel
openaire   +2 more sources

Inter–Annual Variability of Model Parameters Improves Simulation of Annual Gross Primary Production

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 6, June 2026.
Abstract Parametric uncertainty can hinder land surface models (LSM) from accurately simulating carbon fluxes, such as gross primary production (GPP). These models generally cannot capture inter–annual variability (IAV) of fluxes well due to missing processes, and temporally varying parameters can partially alleviate this limitation.
Ranit De, Alexander Brenning, Markus Reichstein, Ladislav Šigut, Borja Ruiz Reverter, Mika Korkiakoski, Eugénie Paul‐Limoges, Peter D. Blanken, T. Andrew Black, Bert Gielen, Torbern Tagesson, Georg Wohlfahrt, Leonardo Montagnani, Sebastian Wolf, Jiquan Chen, Michael Liddell, Ankur R. Desai, Sujan Koirala, Nuno Carvalhais   +18 more
wiley   +1 more source

An empirical analysis of GitHub Copilot

, 2023
The rapid advancement of artificial intelligence (AI) has brought transformative changes to various fields, including software development. GitHub Copilot, an AI-powered code assistant developed by OpenAI in collaboration with Microsoft, has emerged as a promising tool that aims to enhance developers’ productivity by providing context-aware code ...
openaire   +1 more source

Global Drivers of Morphological Variation in Grey Wolves

Diversity and Distributions, Volume 32, Issue 6, June 2026.
ABSTRACT Aim To investigate the ecological and evolutionary drivers of morphological variation in grey wolves (Canis lupus) across their global range: Location The entire Holarctic distribution of grey wolves, from Greenland to New Mexico in North America, from Norway to Israel in Eurasia, including several samples from Russia and India.
Dominika Bujnáková, Sarah J. du Plessis, Daniele Falcinelli, Carsten Gundlach, Katja Holmala, Jonathan S. Keller, Mohammed Khumri, John Korbin, Robert W. Mysłajek, Sabina Nowak, Ladislav Paule, Katrine Raundrup, Madeline K. Rowland, Mikkel‐Holger S. Sinding, Davide Tamagnini, Mia Valtonen, Jouni Aspi, Laura Kvist, Christy Anna Hipsley   +18 more
wiley   +1 more source

Human–AI Collaboration in Programming Education: Student Perspectives on LLM-Based Coding Assistants

Computers
The integration of large language models (LLMs) such as GitHub Copilot, ChatGPT, and DeepSeek into programming education has introduced a new form of human–AI collaboration. These tools provide real-time code suggestions, debugging assistance, and design
Hebah Alquran, Shadi Banitaan
doaj   +1 more source

High Time Resolution Modelled and Measured New Particle Formation Rates During the 2023 Pittsburgh, PA Campaign

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 10, 28 May 2026.
Abstract Particle size distributions are used to calculate nucleation rates during new particle formation (NPF). However, the low time resolution and poor sensitivity of instruments deployed to observe particle size distributions can lead to inaccurate estimates of nucleation rates.
D. Cheng, D. A. Casalnuovo, C. Troller, C. N. Jen   +3 more
wiley   +1 more source

The Influence of AI Code Assistants on Programming Learning: A Descriptive Study of Student Dependence

Proceedings of the International Conference on Applied Innovations in IT
ChatGPT, GitHub Copilot, DeepSeek, and Claude AI are increasingly used in programming instruction, yet relatively few empirical studies have examined their impact on student learning behaviour in the Philippine higher education context.
Janna Mae G. Boitizon, Babylyn P. Barte, Joseph P. Layco, Althea Nicole J. Zoleta, Irene L. Balmes   +4 more
doaj   +1 more source

Engineering a Scalable Laboratory Infrastructure for Assembly Language Scaffolding: Design and Deployment of a Locally Optimized GenAI Assistant for the CODE‐2 Educational Architecture

Computer Applications in Engineering Education, Volume 34, Issue 3, May 2026.
ABSTRACT The transition from high‐level programming to assembly language constitutes a well‐documented pedagogical bottleneck in computer engineering curricula, particularly in large‐cohort laboratory settings where individualized scaffolding cannot scale.
Federico Garcia Crespi
wiley   +1 more source

The Impact of AI Tools on Software Development: A Case Study with GitHub Copilot and Other AI Assistants

International Conference on Enterprise Information Systems
: Background - With the increasing complexity of software projects and the demand for rapid and high-quality deliveries, Generative Artificial Intelligence (GenAI) tools have emerged as powerful allies in software development. Objective - This study aims
Sérgio Cavalcante, Erick Ribeiro, A. Oran   +2 more
semanticscholar   +1 more source

Measuring the quality and efficiency of AI-generated codes for financial markets prediction with LSTM

Frontiers in Artificial Intelligence
Generative AI coding assistants are increasingly used to write machine-learning code, yet their ability to produce reliable LSTM implementations for financial prediction remains underexplored.
Meryem Gharmili, Youssef Aatif, Alj Abdelkamel   +2 more
doaj   +1 more source