The aim is to identify ways to make AI research more efficient, reducing its environmental impact and making it more accessible.
Analyzed current AI efficiency practices and their impact on resource use.
Discussed strategies for increased inclusivity in deep learning.
Evaluated potential measures for reducing carbon footprint associated with AI.
Implementing suggested efficiencies could significantly reduce the carbon footprint of AI.
Greater inclusivity may democratize access to deep learning tools, fostering innovation across diverse communities.
Abstract
Creating efficiency in AI research will decrease its carbon footprint and increase its inclusivity as deep learning study should not require the deepest pockets.