Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review

A Di Vaio, R Palladino, R Hassan, O Escobar - Journal of Business …, 2020 - Elsevier
This paper investigates the literary corpus on the role of Artificial Intelligence (AI) in the
construction of sustainable business models (SBMs). It provides a quantitative overview of …

[HTML][HTML] Artificial intelligence (AI) applications for marketing: A literature-based study

A Haleem, M Javaid, MA Qadri, RP Singh… - International Journal of …, 2022 - Elsevier
Artificial Intelligence (AI) has vast potential in marketing. It aids in proliferating information
and data sources, improving software's data management capabilities, and designing …

ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health

L De Angelis, F Baglivo, G Arzilli, GP Privitera… - Frontiers in public …, 2023 - frontiersin.org
Large Language Models (LLMs) have recently gathered attention with the release of
ChatGPT, a user-centered chatbot released by OpenAI. In this perspective article, we retrace …

[HTML][HTML] Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review

SE Bibri, J Krogstie, A Kaboli, A Alahi - Environmental Science and …, 2024 - Elsevier
The recent advancements made in the realms of Artificial Intelligence (AI) and Artificial
Intelligence of Things (AIoT) have unveiled transformative prospects and opportunities to …

Social physics

M Jusup, P Holme, K Kanazawa, M Takayasu, I Romić… - Physics Reports, 2022 - Elsevier
Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

Survey on 6G frontiers: Trends, applications, requirements, technologies and future research

C De Alwis, A Kalla, QV Pham, P Kumar… - IEEE Open Journal …, 2021 - ieeexplore.ieee.org
Emerging applications such as Internet of Everything, Holographic Telepresence,
collaborative robots, and space and deep-sea tourism are already highlighting the …

Re-thinking data strategy and integration for artificial intelligence: concepts, opportunities, and challenges

A Aldoseri, KN Al-Khalifa, AM Hamouda - Applied Sciences, 2023 - mdpi.com
The use of artificial intelligence (AI) is becoming more prevalent across industries such as
healthcare, finance, and transportation. Artificial intelligence is based on the analysis of …

Artificial intelligence for geoscience: Progress, challenges and perspectives

T Zhao, S Wang, C Ouyang, M Chen, C Liu, J Zhang… - The Innovation, 2024 - cell.com
This paper explores the evolution of geoscientific inquiry, tracing the progression from
traditional physics-based models to modern data-driven approaches facilitated by significant …

Enhancing computational fluid dynamics with machine learning

R Vinuesa, SL Brunton - Nature Computational Science, 2022 - nature.com
Abstract Machine learning is rapidly becoming a core technology for scientific computing,
with numerous opportunities to advance the field of computational fluid dynamics. Here we …

Six human-centered artificial intelligence grand challenges

O Ozmen Garibay, B Winslow, S Andolina… - … Journal of Human …, 2023 - Taylor & Francis
Widespread adoption of artificial intelligence (AI) technologies is substantially affecting the
human condition in ways that are not yet well understood. Negative unintended …