Skip to main content
Cyber Security and Resilience Community
Cyber Security and Resilience Community
People
Faculty
Research Scientists
Postdoctoral Fellows
All People
Research Groups
Cyber Security and Resilience Technology (CyberSaR)
Roberto Di Pietro Research Group (R-Pietro)
Security Research Bearing Experimental Results (SeRBER)
Research Strategy
hardware design
Circuits and Systems for Efficient Machine Learning and Artificial Intelligence
Wed, Jul 17 2024
Research
artificial intelligence
machine learning
hardware design
Machine Learning (ML) and Artificial Intelligence (AI) applications require the use of more and more advanced algorithms for extracting meaningful information from increasingly (and sometimes incredibly) large sets of data. While the algorithmic part has recently seen significant advances (as for instance through the adoption of Deep or Convolutional Neural Networks), it sometimes comes at the cost of high computational complexity which hinders their straightforward implementability. This activity aims at advancing in this direction by: proposing architectures to reduce the computational cost