5 papers
A Low-Cost Hybrid Reservoir Computing Model for Isolated Sign Language Video Recognition
Nitin Kumar Singh, Arie Rachmad Syulistyo, Yuichiro Tanaka +1
Sign language recognition (SLR) enhances communication between hearing and hearing-impaired individuals. Although deep learning (DL) has achieved promising performance in SLR, its…
CBM-Dual: A 65-nm Fully Connected Chaotic Boltzmann Machine Processor for Dual Function Simulated Annealing and Reservoir Computing
Kanta Yoshioka, Soshi Hirayae, Yuichiro Tanaka +3
This paper presents CBM-Dual, the first silicon-proven digital chaotic dynamics processor (CDP) supporting both simulated annealing (SA) and reservoir computing (RC). CBM-Dual enab…
Reservoir Computing inspired Matrix Multiplication-free Language Model
Takumi Shiratsuchi, Yuichiro Tanaka, Hakaru Tamukoh
Large language models (LLMs) have achieved state-of-the-art performance in natural language processing; however, their high computational cost remains a major bottleneck. In this s…
Sign Language Recognition using Parallel Bidirectional Reservoir Computing
Nitin Kumar Singh, Arie Rachmad Syulistyo, Yuichiro Tanaka +1
Sign language recognition (SLR) facilitates communication between deaf and hearing communities. Deep learning based SLR models are commonly used but require extensive computational…
Sign Language Recognition using Bidirectional Reservoir Computing
Nitin Kumar Singh, Arie Rachmad Syulistyo, Yuichiro Tanaka +1
Sign language recognition (SLR) facilitates communication between deaf and hearing individuals. Deep learning is widely used to develop SLR-based systems; however, it is computatio…