Hybrid Signed Convolution Module With Unsigned Divide-and-Conquer Multiplier for Energy-Efficient STT-MRAM-Based AI Accelerator.
Tao LiYitao MaKo YoshikawaTetsuo EndohPublished in: IEEE Trans. Very Large Scale Integr. Syst. (2023)
Keyphrases
- energy efficient
- wireless sensor networks
- energy consumption
- sensor networks
- base station
- artificial intelligence
- data aggregation
- data gathering
- expert systems
- data dissemination
- energy efficiency
- routing algorithm
- multi hop
- routing protocol
- intelligent systems
- computational intelligence
- multi core architecture
- data sets
- data transmission
- sensor nodes
- parallel implementation
- design considerations
- mobile users
- ad hoc networks
- mobile phone