Low-Power Classification using FPGA - An Approach based on Cellular Automata, Neural Networks, and Hyperdimensional Computing.
Niklas KarvonenJoakim NilssonDenis KleykoLara Lorna JiménezPublished in: ICMLA (2019)
Keyphrases
- cellular automata
- low power
- high speed
- low cost
- neural network
- power consumption
- single chip
- pattern recognition
- low power consumption
- gate array
- cellular automaton
- power reduction
- digital signal processing
- cellular automata model
- vlsi architecture
- pattern formation
- signal processor
- artificial neural networks
- logic circuits
- high power
- multi layer perceptron
- mixed signal
- cellular automaton model
- discrete dynamical systems
- vlsi circuits
- chaotic dynamics