Imaging and Sensing
Through groundbreaking advancements in computer vision and process
innovation,
we aim to revolutionize how humans and machines perceive and interact
with the world, unlocking unparalleled opportunities for enhanced experiences
and transformative applications that
redefine our understanding of what it means to "see."
Our Approach
Imaging and sensing technologies play a crucial role in enabling the visualization and detection of objects, structures, or conditions that are not easily observable by the human eye or through conventional methods. Our research focus is on optimizing computer vision in the areas of semiconductor design and fabrication, optimizing the image and sensing pipeline, and data protection and privacy. Our focus is on developing AI-driven solutions that not only complement but also augment the human sensing experience, ultimately expanding our ability to make sense of the complex world we inhabit.
Projects
Privacy and data protection
AI for Chip Design
AI Sensing Pipeline
Related Publications
Federated learning (FL) promotes decentralized training while prioritizing data confidentiality. However, its application on resource-constrained devices is challenging due to the high demand for computation and memory resources for training deep learning models. Neural netw…
Federated learning has become a popular method to learn from decentralized heterogeneous data. Federated semi-supervised learning (FSSL) emerges to train models from a small fraction of labeled data due to label scarcity on decentralized clients. Existing FSSL methods assume…
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