Max-Cut Solving with Spiking Boltzmann Machine on Phase-Change Memory-Based Neuromorphic HardwareYu Gyeong KangMasatoshi Ishiiet al.2025MRS Fall Meeting 2025
Demonstration of transformer-based ALBERT model on a 14nm analog AI inference chipAn ChenStefano Ambrogioet al.2025Nature Communications
Analog AI Accelerators for Transformer-based Language Models: Hardware, Workload, and Power PerformanceH. TsaiH. Benmezianeet al.2025IMW 2025
Analog-AI Hardware Accelerators for Low-Latency Transformer-Based Language Models (Invited)G.W. BurrH. Tsaiet al.2025CICC 2025
Analog-AI Hardware Accelerators for low-latency Transformer-based Language Models (Invited)Geoffrey BurrSidney Tsaiet al.2025CICC 2025
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
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