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* [[Design and Implementation of Digital Spiking Neurons for Ultra-Low-Power In-Cluster Coprocessors]] (master thesis)
 
* [[Design and Implementation of Digital Spiking Neurons for Ultra-Low-Power In-Cluster Coprocessors]] (master thesis)
 
* [[Interfacing PULP with a Brain-Inspired Ultra-Low Power Spiking Cochlea]] (master thesis)
 
* [[Interfacing PULP with a Brain-Inspired Ultra-Low Power Spiking Cochlea]] (master thesis)
* [[A Recurrent Neural Network Speech Recognition Chip]] (semester thesis)
 
 
* [[Ultra-Efficient Visual Classification on Movidius Myriad2]] (semester thesis)
 
* [[Ultra-Efficient Visual Classification on Movidius Myriad2]] (semester thesis)
  

Revision as of 13:29, 10 May 2017

Francesco Conti

I am a postdoctoral researcher here at IIS since July 2016, and I also hold a position as a research assistant at the University of Bologna, Italy. My interests focus on energy-efficient multicore architectures, with particular emphasis on heterogeneous multicores and cognitive computing architectures. I am interested in the entire technological stack "from Python to Silicon".

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

Available projects

Running projects

Completed projects : 2017

Completed projects : 2016

Contact Information