[HTML][HTML] Artificial intelligence: A powerful paradigm for scientific research
Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well
known from computer science is broadly affecting many aspects of various fields including …
known from computer science is broadly affecting many aspects of various fields including …
Sustainable ai: Environmental implications, challenges and opportunities
CJ Wu, R Raghavendra, U Gupta… - Proceedings of …, 2022 - proceedings.mlsys.org
This paper explores the environmental impact of the super-linear growth trends for AI from a
holistic perspective, spanning Data, Algorithms, and System Hardware. We characterize the …
holistic perspective, spanning Data, Algorithms, and System Hardware. We characterize the …
On the opportunities and risks of foundation models
AI is undergoing a paradigm shift with the rise of models (eg, BERT, DALL-E, GPT-3) that are
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
[HTML][HTML] Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation
Abstract Trustworthy Artificial Intelligence (AI) is based on seven technical requirements
sustained over three main pillars that should be met throughout the system's entire life cycle …
sustained over three main pillars that should be met throughout the system's entire life cycle …
Greening the globe: Uncovering the impact of environmental policy, renewable energy, and innovation on ecological footprint
M Appiah, M Li, MA Naeem, S Karim - Technological Forecasting and …, 2023 - Elsevier
This study examines the effectiveness of environmental policy in reducing ecological
footprint while considering the roles of renewable energy and innovation. We employ a …
footprint while considering the roles of renewable energy and innovation. We employ a …
Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review
The goal of managing smart cities and societies is to maximize the efficient use of finite
resources while enhancing the quality of life. To establish a sustainable urban existence …
resources while enhancing the quality of life. To establish a sustainable urban existence …
[HTML][HTML] Artificial intelligence, systemic risks, and sustainability
Automated decision making and predictive analytics through artificial intelligence, in
combination with rapid progress in technologies such as sensor technology and robotics are …
combination with rapid progress in technologies such as sensor technology and robotics are …
Artificial intelligence for digital sustainability: An insight into domain-specific research and future directions
Recent research call for action on digital sustainability research could potentially contribute
to achieving United Nations (UN) Sustainable Development Goals (SDG). In this opinion …
to achieving United Nations (UN) Sustainable Development Goals (SDG). In this opinion …
[HTML][HTML] Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review
The recent advancements made in the realms of Artificial Intelligence (AI) and Artificial
Intelligence of Things (AIoT) have unveiled transformative prospects and opportunities to …
Intelligence of Things (AIoT) have unveiled transformative prospects and opportunities to …
Aligning artificial intelligence with climate change mitigation
There is great interest in how the growth of artificial intelligence and machine learning may
affect global GHG emissions. However, such emissions impacts remain uncertain, owing in …
affect global GHG emissions. However, such emissions impacts remain uncertain, owing in …