On-chip photonic computing shows promise for tasks such as neural networks due to its parallelism and low latency. However, the impact of the nonlinear transfer curve of photonic modulators on the accuracy of photonic computing is underexplored. Curr... read more
Activation functions are indispensable in optical neural networks (ONNs). However, existing solutions often require high optical power for nonlinearity or suffer from limited tunability that restricts deployable architectures. Achieving diverse and t... read more
Diffractive deep neural network (D2NN), as a novel optical machine learning framework, has attracted much attention due to its superior advantages in inference speed and power consumption. Here, we demonstrate a new, to the best of our knowledge, fra... read more
Transparent ultrasonic transducer enables compact coaxial photoacoustic microscopy, but the trade-off between optical transparency and sensitivity and electrode nonuniformity results in reduced SNR and resolution. Here, we propose a deep learning-bas... read more
Crack detection is essential for structural safety inspection but remains challenging due to noise, illumination variations, and complex backgrounds. In this paper, we propose CrackNet, a segmentation network specifically designed for concrete crack ... read more
Physiological and pathological processes are governed by networks of genes called gene regulatory networks (GRNs). By reconstructing GRNs, we can accurately model how cells behave in their natural state and predict how genetic changes will affect the... read more
Gait is a key indicator for assessing an individual's mobility and overall health, and accurate detection of gait cycle phases is essential for precise gait analysis. Most existing gait phase detection approaches rely on multiple wearable sensors, in... read more
MOTIVATIONS: Electroencephalography (EEG) is a non-invasive method that records brain electrical activity from scalp electrodes, offering millisecond temporal resolution but limited spatial detail due to sparse sensor layouts. RESULTS: We present DiB... read more
MOTIVATION: Global population aging has led to a rapid increase in neurodegenerative disorders such as alzheimer's disease (AD). Although existing drugs can temporarily alleviate symptoms, none have been proven to delay or prevent disease progression... read more
BACKGROUND: Large language models (LLMs) are increasingly used by employees at university hospitals for information retrieval or decision support. Self-hosted on-premise systems provide a secure environment and conform to data privacy and security re... read more
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