BRein Memory: A Single-Chip Binary/Ternary Reconfigurable in-Memory Deep Neural Network Accelerator Achieving 1.4 TOPS at 0.6 W von Ando, Kota, Ueyoshi, Kodai, Orimo, Kentaro, Yonekawa, Haruyoshi, Sato, Shimpei, Nakahara, Hiroki, Takamaeda-Yamazaki, Shinya, Ikebe, Masayuki, Asai, Tetsuya, Kuroda, Tadahiro, Motomura, Masato

Volltext

A molecular neuromorphic network device consisting of single-walled carbon nanotubes complexed with polyoxometalate von Tanaka, Hirofumi, Akai-Kasaya, Megumi, TermehYousefi, Amin, Hong, Liu, Fu, Lingxiang, Tamukoh, Hakaru, Tanaka, Daisuke, Asai, Tetsuya, Ogawa, Takuji

Volltext

Extending Binary Neural Networks to Bayesian Neural Networks with Probabilistic Interpretation of Binary Weights von SAITO, Taisei, ANDO, Kota, ASAI, Tetsuya

Volltext

Physical Implementation of Reservoir Computing through Electrochemical Reaction von Kan, Shaohua, Nakajima, Kohei, Asai, Tetsuya, Akai‐Kasaya, Megumi

Volltext

An Adaptive Global and Local Tone Mapping Algorithm Implemented on FPGA von Ambalathankandy, Prasoon, Ikebe, Masayuki, Yoshida, Takayuki, Shimada, Takeshi, Takamaeda, Shinya, Motomura, Masato, Asai, Tetsuya

Volltext

A novel small‐signal detection method using divergence properties of second‐order linear differential equations von Yamakawa, Soichiro, Ando, Kota, Akai‐Kasaya, Megumi, Asai, Tetsuya

Volltext

Simple Reservoir Computing Capitalizing on the Nonlinear Response of Materials: Theory and Physical Implementations von Kan, Shaohua, Nakajima, Kohei, Takeshima, Yuki, Asai, Tetsuya, Kuwahara, Yuji, Akai-Kasaya, Megumi

Volltext

Highly-integrable analogue reservoir circuits based on a simple cycle architecture von Abe, Yuki, Nakada, Kazuki, Hagiwara, Naruki, Suzuki, Eiji, Suda, Keita, Mochizuki, Shin-ichiro, Terasaki, Yukio, Sasaki, Tomoyuki, Asai, Tetsuya

Volltext

Holmes: A Hardware-Oriented Optimizer Using Logarithms von YAMAGISHI, Yoshiharu, KANEKO, Tatsuya, AKAI-KASAYA, Megumi, ASAI, Tetsuya

Volltext

Evolving conductive polymer neural networks on wetware von Akai-Kasaya, Megumi, Hagiwara, Naruki, Hikita, Wataru, Okada, Masaru, Sugito, Yasumasa, Kuwahara, Yuji, Asai, Tetsuya

Volltext

A 1-Msps 500-Node FORCE Learning Accelerator for Reservoir Computing von Yoshida, Kose, Akai-Kasaya, Megumi, Asai, Tetsuya

Volltext

Long- and Short-Term Conductance Control of Artificial Polymer Wire Synapses von Hagiwara, Naruki, Sekizaki, Shoma, Kuwahara, Yuji, Asai, Tetsuya, Akai-Kasaya, Megumi

Volltext

Formation and characterization of charge coupled structure of polyoxometalate particles and a GaAs-based nanowire for readout of molecular charge states von Sasaki, Kentaro, Okamoto, Shoma, Tashiro, Shohei, Asai, Tetsuya, Kasai, Seiya

Volltext

FPGA-Based Annealing Processor with Time-Division Multiplexing von YAMAMOTO, Kasho, IKEBE, Masayuki, ASAI, Tetsuya, MOTOMURA, Masato, TAKAMAEDA-YAMAZAKI, Shinya

Volltext

Low-power temperature-to-frequency converter consisting of subthreshold CMOS circuits for integrated smart temperature sensors von Ueno, Ken, Asai, Tetsuya, Amemiya, Yoshihito

Volltext

Applying a Molecular Device to Stochastic Computing Operation for a Hardware AI System Design von Kan, Shaohua, Sasaki, Yoshiaki, Asai, Tetsuya, Akai-Kasaya, Megumi

Volltext

Reservoir Computing on Atomic Switch Arrays with High Precision and Excellent Memory Characteristics von Kubota, Hiroshi, Hasegawa, Tsuyoshi, Akai-Kasaya, Megumi, Asai, Tetsuya

Volltext

A Hardware-efficient Weight Sampling Circuit for Bayesian Neural Networks von Hirayama, Yuki, Asai, Tetsuya, Motomura, Masato, Takamaeda, Shinya

Volltext

Error Tolerance Analysis of Deep Learning Hardware Using a Restricted Boltzmann Machine Toward Low-Power Memory Implementation von Marukame, Takao, Ueyoshi, Kodai, Asai, Tetsuya, Motomura, Masato, Schmid, Alexandre, Suzuki, Masamichi, Higashi, Yusuke, Mitani, Yuichiro

Volltext

Real-time HDTV to 4K and 8K-UHD conversions using anti-aliasing based super resolution algorithm on FPGA von Ambalathankandy, Prasoon, Takamaeda, Shinya, Masato, Motomura, Asai, Tetsuya, Ikebe, Masayuki, Kusano, Hotaka

Volltext