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* applications of deep learning and brain-inspired computational models and architectures to low-power digital systems | * applications of deep learning and brain-inspired computational models and architectures to low-power digital systems | ||
Revision as of 19:27, 27 March 2016
Francesco Conti
Interests
- heterogeneous multicore architectures for energy-efficient and low-power embedded systems
- applications of deep learning and brain-inspired computational models and architectures to low-power digital systems
Contact Information
- Office: ETZ H69.1
- e-mail: fconti@iis.ee.ethz.ch
- www: Francesco Conti homepage @University of Bologna