Artificial intelligence for climate change biology: from data collection to predictions
O Levy, S Shahar - Integrative and Comparative Biology, 2024 - academic.oup.com
In the era of big data, ecological research is experiencing a transformative shift, yet big-data
advancements in thermal ecology and the study of animal responses to climate conditions …
advancements in thermal ecology and the study of animal responses to climate conditions …
[HTML][HTML] AI-Driven Innovations in Software Engineering: A Review of Current Practices and Future Directions
The software engineering landscape is undergoing a significant transformation with the
advent of artificial intelligence (AI). AI technologies are poised to redefine traditional …
advent of artificial intelligence (AI). AI technologies are poised to redefine traditional …
[HTML][HTML] Generative Models for Source Code: Fine-Tuning Techniques for Structured Pattern Learning
V Franzoni, S Tagliente, A Milani - Technologies, 2024 - mdpi.com
This study addresses the problem of how to automatically generate source code that is not
only functional, but also well-structured, readable, and maintainable. Existing generative …
only functional, but also well-structured, readable, and maintainable. Existing generative …
Benchmarks and Metrics for Evaluations of Code Generation: A Critical Review
DG Paul, H Zhu, I Bayley - arxiv preprint arxiv:2406.12655, 2024 - arxiv.org
With the rapid development of Large Language Models (LLMs), a large number of machine
learning models have been developed to assist programming tasks including the generation …
learning models have been developed to assist programming tasks including the generation …
[PDF][PDF] Protocol for a Systematic Literature Review on the Evaluation of Code Recommender Systems
D Borst, S Sobernig, K Innerebner, D Curation - 2024 - research.wu.ac.at
This document outlines the protocol for conducting a systematic literature review (SLR)
aimed at analyzing evaluation methods used to assess the impact of code recommender …
aimed at analyzing evaluation methods used to assess the impact of code recommender …
Towards an experience in AI-driven development for programming applied to multimedia using Tabnine
J Llerena-Izquierdo, I Fiallos-Vargas… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
The development of enjoyable, interesting and meaningful learning experiences in different
domains, such as, for example, learning programming languages driven with artificial …
domains, such as, for example, learning programming languages driven with artificial …
The role of AI integration in fostering innovation within software houses
N Siddiqui - 2024 - theseus.fi
This thesis investigates the use of artificial intelligence to promote innovation in software
development processes using a mixed-methods approach ie quantita tive analysis via …
development processes using a mixed-methods approach ie quantita tive analysis via …