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KAUST CEMSE EE SENSORS Mohammed Affan Zidan

Mohammed Affan Zidan

PhD Degree, Electrical and Computer Engineering
  • CEMSE
  • ECE
  • Sensors
  • memristor
  • Memory
  • chaotic systems
Alumni
sensorsLab_peopleHasanPicture.png

Hasan Erdem Yantir

Postdoctoral Research Fellow, Sensors Lab
  • CCSL
  • CEMSE
  • ECE
  • Sensors
  • neuromorphic computing
  • In-memory computing
  • reconfigurable computing
Former Members
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Towards Efficient Neuromorphic Hardware: Unsupervised Adaptive Neuron Pruning
Towards Efficient Neuromorphic Hardware: Unsupervised Adaptive Neuron Pruning
2 years 10 months ago
  • Sensors
  • Circuits
  • neuromorphic computing
  • spiking neural network
  • neuron pruning
Image
Unsupervised adaptive weight pruning for energy-efficient neuromorphic systems Frontiers in Neuroscience, section Neuromorphic Engineering.
Unsupervised adaptive weight pruning for energy-efficient neuromorphic systems Frontiers in Neuroscience, section Neuromorphic Engineering.
3 years ago
  • Sensors
  • Circuits
  • neuromorphic computing
  • spiking neural networks
  • pruning

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