10 papers
Gaussian process learning with flow map refinement for parameter estimation in dynamical systems
Yue Hao, Dongwei Ye
Parameter estimation is a central task in data-driven learning of dynamical systems. It aims to recover the underlying physical parameters from observed time-series data, thereby p…
Hardware Implementation of Photonic Spiking Hash Retrieval
Shangxuan Shi, Shuiying Xiang, Xintao Zeng +5
Hashing retrieval is a pivotal technology for large-scale similarity search, widely applied in retrieval-augmented generation (RAG) for large language models (LLMs), massive image…
Polarization-Multiplexed Chaotic LiDAR Based on a VCSEL with Delayed Orthogonal Feedback
T. Wang, Z. Li, H. Shen +5
Light detection and ranging (LiDAR) systems are pivotal for precise distance and velocity measurement, yet widespread deployment requires solutions that balance their performance,…
Hardware implementation of photonic neuromorphic autonomous navigation
Yonghang Chen, Shuiying Xiang, Xintao Zeng +7
Reinforcement learning (RL) is a core technology enabling the transition of artificial intelligence (AI) from perception to decision-making, but its deployment on conventional elec…
Photonic Spiking Graph Neural Network for Energy-Efficient Structured Data Processing
Wanting Yu, Shuiying Xiang, Xingxing Guo +6
Photonic computing shows great potential for signal processing and artificial intelligence (AI) acceleration due to its ultra-high speed, low energy consumption, and inherent paral…
Hardware-Software Collaborative Computing of Photonic Spiking Reinforcement Learning for Robotic Continuous Control
Mengting Yu, Shuiying Xiang, Changjian Xie +6
Robotic continuous control tasks impose stringent demands on the energy efficiency and latency of computing architectures due to their high-dimensional state spaces and real-time i…