Conference article  Open Access

AIMH Lab for a susteinable bio-inspired AI

Lagani G., Falchi F., Gennaro C., Amato G.

Hebbian  Bio-inspired  Deep Learning  Sustainable  Artificial Intelligence 

In this short paper, we report the activities of the Artificial Intelligence for Media and Humanities (AIMH) laboratory of the ISTI-CNR related to Sustainable AI. In particular, we discuss the problem of the environmental impact of AI research, and we discuss a research direction aimed at creating effective intelligent systems with a reduced ecological footprint. The proposal is based on bio-inspired learning, which takes inspiration from the biological processes underlying human intelligence in order to produce more energy-efficient AI systems. In fact, biological brains are able to perform complex computations, with a power consumption which is orders of magnitude smaller than that of traditional AI. The ability to control and replicate these biological processes reveals promising results towards the realization of sustainable AI

Source: ITAL-IA 2023, pp. 575–584, Pisa, Italy, 29-30/05/2023

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BibTeX entry
	title = {AIMH Lab for a susteinable bio-inspired AI},
	author = {Lagani G. and Falchi F. and Gennaro C. and Amato G.},
	booktitle = {ITAL-IA 2023, pp. 575–584, Pisa, Italy, 29-30/05/2023},
	year = {2023}

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