Results 31 to 40 of about 48,273 (169)
Future InternetThis study examines how generative AI is adopted and experienced across educational levels in Sonora, Mexico, and whether students’ perceived learning aligns with engagement behaviors during AI-assisted homework.
Raquel Torres-Peralta +4 more
doaj +1 more source
Applied Sciences, 2023 As artificial intelligence advances, source code completion assistants are becoming more advanced and powerful. Existing traditional assistants are no longer up to all the developers’ challenges.
Tilen Hliš +3 more
doaj +1 more source
Methods in Ecology and Evolution, EarlyView.Abstract Long‐read amplicon sequencing is now routine for fungal metabarcoding, and locating the internal transcribed spacer (ITS) subregions within reads has become a throughput bottleneck. Existing extractors were designed for shorter reads and for datasets in which near‐identical sequences are common, and neither assumption holds for Oxford Nanopore
Aaron O'Brien +4 more
wiley +1 more source
Funciones, un algoritmo, BigQuery y la ausencia de frameworks
ReCIBEEn este artículo vamos explicar cómo solucionar el siguiente problema: realizar una inserción de datos en una tabla de BigQuery usando el lenguaje de programación Python, cuando no podemos usar frameworks, chatGPT, GitHub Copilot, etc., para obtener ...
Pedro Cano
doaj +1 more source
Methods in Ecology and Evolution, EarlyView.Abstract As long‐read amplicon sequencing becomes routine for fungal metabarcoding, species‐level abundance estimation from ITS amplicons remains limited by naive best‐hit classification. Assigning each read to its single highest‐scoring reference misattributes reads among closely related species that share similar ITS sequences, and divides the reads ...
Aaron O'Brien +4 more
wiley +1 more source
InformationThe rapid adoption of artificial intelligence (AI) programming assistants has raised questions about the actual benefits they provide in professional software development.
Goran Đambić +3 more
doaj +1 more source
Emerging applications of large language models in ecology and conservation science
Conservation Biology, EarlyView.Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides +5 more
wiley +1 more source
Dataset for "Deep Dive into the Verifiability of Code Generated by GitHub Copilot"
, 2023 A collection of GitHub-Copilot-generated Python solutions and their translations to Dafny with verification ...
Ruohao Yin, Patrick Lam
core +2 more sources
IEEE AccessIn today’s fast-paced software development environment, Agile methodologies demand rapid delivery and continuous improvement, making automated testing essential for maintaining quality and accelerating feedback loops.
Suresh Babu Nettur +3 more
doaj +1 more source
Does Digitalization Widen Labor Income Inequality?
International Economic Review, EarlyView.ABSTRACT We develop a growth model that endogenizes the occupational choice of workers with different ability levels to study how digitalization affects labor income inequality. The framework incorporates digitalization's multifaceted effects on the economy: (i) it influences economic growth through automation, and (ii) it affects labor income ...
Jilei Huang +3 more
wiley +1 more source