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(Available projects)
 
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==Available projects==
 
==Available projects==
 
* [[Combining Pruning with Quantization for Best-Efficiency Neural Networks]] (semester/master thesis)
 
* [[Combining Pruning with Quantization for Best-Efficiency Neural Networks]] (semester/master thesis)
 +
* [[Scalable Heterogeneous L1 Memory Interconnect for Smart Accelerator Coupling in Ultra-Low Power Multicores]] (semester/master thesis)
 
<!-- * [[Fighting Adversarial Learning in HW: Security-Aware CNN Acceleration]] (semester/master thesis)  -->
 
<!-- * [[Fighting Adversarial Learning in HW: Security-Aware CNN Acceleration]] (semester/master thesis)  -->
 
* [[Variable Bit Precision Logic for Deep Learning and Artificial Intelligence]] (master thesis)
 
* [[Variable Bit Precision Logic for Deep Learning and Artificial Intelligence]] (master thesis)

Latest revision as of 20:18, 29 January 2019

Francesco Conti

Fconti.png

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

Projects in progress

Past projects

Contact Information