Using Artificial Intelligence to Visualize the Impacts of Climate Change

Luccioni, Alexandra; Schmidt, Víctor; Vardanyan, Vahe; Bengio, Yoshua

doi:10.1109/mcg.2020.3025425

Cited by 33 publications

(10 citation statements)

References 19 publications

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“…AI appeared in 1956. Now, there are multiple AI-related things in people's lives, such as fingerprint recognition, intelligent search, face recognition, language translation, and automatic planning [14]. Figure 3 presents the architecture of the AI technology system.…”

Section: Methodsmentioning

confidence: 99%

The Use of Wireless Network Combined with Artificial Intelligence Technology in the Reform of Music Online Teaching System

Chen

Meng

2022

Wireless Communications and Mobile Computing

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The purpose is to respond to the call of the government on the artificial intelligence (AI) policy of music online education. First, wireless network technology and AI technology are described in detail; the application principle of AI technology in traditional music teaching mode and online teaching mode is analyzed; then, the combination model of AI technology and music online education system in 5th-generation (5G) wireless network environment is proposed. These models include music online composition teaching model, music online teaching scoring model, and music online lyric writing teaching model. Finally, the models are verified in the application of AI technology. The results show that AI technology has good application performance in the models above. Moreover, the direction of music online teaching reform and innovation along the combination of 5G network environment and AI is correct under the background of the new era. This exploration expands the application scenario of AI technology and provides ideas for the reform and innovation of music online education in the context of the new era.

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Section: Methodsmentioning

confidence: 99%

The Use of Wireless Network Combined with Artificial Intelligence Technology in the Reform of Music Online Teaching System

Chen

Meng

2022

Wireless Communications and Mobile Computing

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“…Taking part in group activities helps the learner develop an understanding of their own identity within the context of the community's social culture of reflection [25]. Teachers can learn in a variety of ways, including independently, by doing and through experience; collaboratively; contextually; in stages; and according to a set of predetermined criteria [26]. There are numerous metaphors used to describe teacher education, including a large grassland with numerous paths to travel through it [26].…”

Section: Introductionmentioning

confidence: 99%

“…Teachers can learn in a variety of ways, including independently, by doing and through experience; collaboratively; contextually; in stages; and according to a set of predetermined criteria [26]. There are numerous metaphors used to describe teacher education, including a large grassland with numerous paths to travel through it [26]. A virtual learning environment has been used in a number of studies to examine learning communities and the knowledge connotations of learning models and educational apps in great detail [27].…”

Section: Introductionmentioning

confidence: 99%

Remote Music Teaching Classroom Based on Machine Learning and 5G Network Station

Seng

2022

Wireless Communications and Mobile Computing

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Most recently, the technological impacts are increasing day by day. Artificial intelligence, machine learning, deep learning, and big data are used to acquire enough application feasibility to reduce work pressure for humans. The way information society is being developed in this world will result in some changes in the development of the education system. The impact will result in some changes in the development of the education system. This research focuses on improving remote music teaching following the presence of a 5G network. Data perception handling is considered the central issue in remote communication, which creates some inabilities to achieve better communication between the systems. To avoid this kind of risk management, most schools and colleges have planned to create a separate network working under wireless connections while delivering the course content to a minimum number of students. Another effective integration of this evolution is efficiently building the remote music education system. Here the compatibility should match both the cases, be they students or the teachers. In this case, network speed is considered one of the most significant impacts on students listening to online classes. Therefore, a 5G network might be the best path to take by increasing the network speed and giving a strong impetus. The proposed system utilizes convolutional neural network (CNN) algorithm to train the intelligent system to provide remote music education through wireless 5G networks. The parameters used for analyzing the proposed system with the existing system are compline, uncertainty, unconfirmed, and out-of-place. The proposed algorithm has achieved an overall accuracy of 99.13% than the existing system.

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“…For example, AI can be used to analyze satellite imagery and other remote sensing data to identify and map ecosystems (Abdollahi and Pradhan 2021, Maurya et al 2021, García‐Pardo et al 2022, Kimothi et al 2022), track the movement and behavior of animals (Sridhar et al 2019, Mathis and Mathis 2020, Smith and Pinter‐Wollman 2021), and monitor the health of forests and other natural habitats (Kinaneva et al 2019, Liu et al 2021, Maurya et al 2021, Kimothi et al 2022). AI can also be used to develop predictive models that can forecast the impacts of climate change and other environmental factors on urban and natural ecosystems (Huntingford et al 2019, How et al 2020, Chakraborty et al 2021, Dewitte et al 2021, Luccioni et al 2021), as well as to identify patterns and trends in the data that can inform conservation and management efforts (How et al 2020, Dewitte et al 2021). These algorithms have been used to predict the distribution of species based on environmental variables and to identify the factors that drive changes in species abundance over time (Peterson 2001, Fukuda and Hiramatsu 2008, Meng et al 2021).…”

Section: Exploring the Role Of Ai In Ecology: Improved Chatgpt Perspe...mentioning

confidence: 99%

Artificial Intelligence in Ecology: A Commentary on a Chatbot's Perspective

Haghighi

Saqalaksari

Johnson

2023

Bulletin Ecologic Soc America

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The potential of artificial intelligence (AI) to shape research and education is a highly topical issue. The recent release of ChatGPT (Chat Generative Pre‐trained Transformer) by OpenAI on November 30, 2022 has opened up new possibilities for the use of chatbot services in ecological research and education. In this perspective article, we address associated contemporary topics including the use of chatbot services in ecology education and academic writing, the application of AI in ecology, the potential environmental impact, and ethical considerations of using such services. Several logistical, ethical and environmental factors were identified that should be considered in the context of ecological research. We argue that ChatGPT can help reduce the workload of researchers, generate new insights and ideas, and serve as a personal instructor and assistant for students. While we show how AI chatbots have the potential to be useful assets for ecologists, several challenges arose. AI in ecological research includes the limited ability of AI algorithms to capture complexity and nuance, the dependence of AI models on data quality, and ethical concerns about the use of AI in research. The construction and operation of such services also have potential environmental impacts but may also provide environmental benefits in comparison with other conventional approaches, all of which should be evaluated. Despite these limitations and challenges, we consider that the use of AI can be a valuable tool in ecological research and could enhance the speed and efficiency of research by automating certain tasks (e.g. data collection and management) and analyzing large amounts of data. However, we emphasize the importance of taking a responsible, sustainable and transparent approach to using chatbot services and AI in ecological research and education, while remaining mindful of the potential impact on the environment, society, and ethical concerns.

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Using Artificial Intelligence to Visualize the Impacts of Climate Change

Cited by 33 publications

References 19 publications

The Use of Wireless Network Combined with Artificial Intelligence Technology in the Reform of Music Online Teaching System

The Use of Wireless Network Combined with Artificial Intelligence Technology in the Reform of Music Online Teaching System

Remote Music Teaching Classroom Based on Machine Learning and 5G Network Station

Artificial Intelligence in Ecology: A Commentary on a Chatbot's Perspective

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