Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

AIMH Lab for a susteinable bio-inspired AI

Contributo in Atti di convegno
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
Autori di Ateneo:
AMATO GIUSEPPE
FALCHI FABRIZIO
GENNARO CLAUDIO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/451794
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/451794/132763/prod_489923-doc_204073.pdf
Titolo del libro:
Ital-IA 2023 Thematic Workshops
Pubblicato in:
CEUR WORKSHOP PROCEEDINGS
Series
  • Dati Generali

Dati Generali

URL

https://ceur-ws.org/Vol-3486
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)