Energy-Efficient Hardware Implementation of Spiking-Restricted Boltzmann Machines Using Pseudo-Synaptic SamplingHyunwoo KimSuyeon Janget al.2024Advanced Intelligent Systems
Solving Max-Cut Problem Using Spiking Boltzmann Machine Based on Neuromorphic Hardware with Phase Change MemoryYu Gyeong KangMasatoshi Ishiiet al.2024Advanced Science
Emerging Nonvolatile Memories for Analog Neuromorphic ComputingAn ChenStefano Ambrogioet al.2024ECS Spring Meeting 2024
Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)Geoffrey BurrSidney Tsaiet al.2023IEDM 2023
An analog-AI chip for energy-efficient speech recognition and transcriptionS. AmbrogioPritish Narayananet al.2023Nature
Phase Change Memory-based Hardware Accelerators for Deep Neural NetworksGeoffrey BurrPritish Narayananet al.2023VLSI Technology 2023
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural NetworksSidney TsaiPritish Narayananet al.2023ISCAS 2023
Analog In-Memory Computing for Deep Neural Network AccelerationAndrea FasoliGeoffrey Burret al.2023MRS Spring Meeting 2023
Analog-AI: Hardware Acceleration for Deep Neural Network InferenceGeoffrey BurrSidney Tsaiet al.2023NeuMatDeCaS 2023
Impact of PCM noise on the Spiking Restricted Boltzmann Machine via On-Chip Trainable PCM synapsesUicheol ShinMasatoshi Ishiiet al.2022MRS Fall Meeting 2022