Integration of Artificial Intelligence techniques in automotive software stacks
Scientific-Disciplinary Group
09/IINF-05 - Information Processing Systems
Description
The research activity focuses on the integration of Artificial Intelligence (AI) techniques into software stacks for the automotive sector, with a particular emphasis on RISC-V architectures. The main goal is to develop and optimize advanced AI algorithms capable of improving the reliability, safety, and efficiency of the software stacks. Through the application of technologies such as deep learning, predictive analytics, and signal processing, the project aims to create intelligent software that can interact in real-time with advanced sensors and vehicle control systems. The integration of AI aims to increase the flexibility and scalability of the entire software infrastructure.
Job posting website
Funding body
ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - CENTRO RICERCA SISTEMI ELETTRONICI INGEGN.INF. E TELECOM."ERCOLE DE CASTRO"
How to apply
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View the original posting on the MUR website: Go to MUR website