Sustainability applications for artificial intelligence
Source: Sustainability Mag
Professor Ong Yew Soon (Chief Artificial Intelligence Scientist, A*STAR, President’s Chair Professor of Computer Science, NTU) and Dr. Lim Keng Hui (Assistant Chief Executive Science and Engineering Research Council A*STAR) give their views on how artificial intelligence technologies can be applied to meet the demand for sustainability.
While the use of AI has an impact on CO2 emission and power consumption, it can still provide solutions to reduce one’s carbon footprint and reduce power consumption.
To achieve this, researchers are looking to improve the learning process of the AI by selecting relevant learning models for the algorithm.
Another area of research is neuromorphic computing.
Researchers are trying to apply the workings of the human brain into algorithms to improve them. The lines of research are not limited to improving the algorithms.
They also allow improving the consumption and distribution of natural resources. For this, AI is used in agri-food activities (increasing yields…) or in energy production.