How large language models can reshape collective intelligence

JW Burton, E Lopez-Lopez, S Hechtlinger… - Nature human …, 2024 - nature.com
Collective intelligence underpins the success of groups, organizations, markets and
societies. Through distributed cognition and coordination, collectives can achieve outcomes …

“Hasta la vista, baby”–will machine learning terminate human literature reviews in entrepreneurship?

S Robledo, AM Grisales Aguirre… - Journal of Small …, 2023 - Taylor & Francis
Can, and should, artificial intelligence (AI) and its machine learning (ML) variant be applied
to study scholarly literature? With AI and ML rapidly disrupting industries, we investigate how …

A systematic global stocktake of evidence on human adaptation to climate change

L Berrang-Ford, AR Siders, A Lesnikowski… - Nature climate …, 2021 - nature.com
Assessing global progress on human adaptation to climate change is an urgent priority.
Although the literature on adaptation to climate change is rapidly expanding, little is known …

Machine-learning-based evidence and attribution map** of 100,000 climate impact studies

M Callaghan, CF Schleussner, S Nath… - Nature climate …, 2021 - nature.com
Increasing evidence suggests that climate change impacts are already observed around the
world. Global environmental assessments face challenges to appraise the growing …

Blockchain propels tourism industry—an attempt to explore topics and information in smart tourism management through text mining and machine learning

V Puri, S Mondal, S Das, VG Vrana - Informatics, 2023 - mdpi.com
Blockchain and immersive technology are the pioneers in bringing digitalization to tourism,
and researchers worldwide are exploring many facets of these techniques. This paper …

Integrated WDM-compatible optical mode division multiplexing neural network accelerator

R Yin, H ** review on tools and methods for trait prioritization in crop breeding programmes
M Occelli, R Mukerjee, C Miller, J Porciello, S Puerto… - Nature Plants, 2024 - nature.com
Trait prioritization studies have guided research, development and investment decisions for
public-sector crop breeding programmes since the 1970s, but the research design, methods …

Digital agriculture services in low-and middle-income countries: A systematic sco** review

J Porciello, S Coggins, E Mabaya, G Otunba-Payne - Global food security, 2022 - Elsevier
This paper summarizes a global assessment of digital agriculture services and their impacts.
A sco** review conducted under a protocol aligned to the internationally accepted …