Difference between revisions of "User:Fconti"
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==Available projects== | ==Available projects== | ||
* [[Towards Online Training of CNNs: Hebbian-Based Deep Learning]] (semester thesis) | * [[Towards Online Training of CNNs: Hebbian-Based Deep Learning]] (semester thesis) | ||
+ | * [[Single-Bit-Synapse Spiking Neural System-on-Chip]] (master thesis) | ||
==Running projects== | ==Running projects== |
Revision as of 12:23, 13 January 2017
Contents
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
- Towards Online Training of CNNs: Hebbian-Based Deep Learning (semester thesis)
- Single-Bit-Synapse Spiking Neural System-on-Chip (master thesis)
Running projects
- A Recurrent Neural Network Speech Recognition Chip (semester thesis)
- Ultra-Efficient Visual Classification on Movidius Myriad2 (semester thesis)
Completed projects : 2016
- 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)
Contact Information
- Office: ETZ J78
- telephone: +41446337151
- e-mail: fconti@iis.ee.ethz.ch
- www: Francesco Conti homepage @University of Bologna