Data di Pubblicazione:
2023
Abstract:
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
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Hebbian; Bio-inspired; Deep Learning; Sustainable; Artificial Intelligence
Elenco autori:
Lagani, Gabriele; Amato, Giuseppe; Gennaro, Claudio; Falchi, Fabrizio
Link alla scheda completa:
Link al Full Text:
Titolo del libro:
Ital-IA 2023 Thematic Workshops
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