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conducted to investigate the relationships between disc morphology, biomechanics, and the expression of molecular markers such as MMP3, ADAMTS4, collagen types I and II, and aggrecans. In parallel, a second
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optimize large-scale distributed training frameworks (e.g., data parallelism, tensor parallelism, pipeline parallelism). Develop high-performance inference engines, improving latency, throughput, and memory
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parallel, we focus on engineering metamaterial structures at subwavelength scales to achieve unprecedented electromagnetic, acoustic, or mechanical properties not found in natural materials. We
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-Based Generative Models: How can we fundamentally redesign generation processes for superior efficiency, controllability, and quality? We are exploring diffusion models, flow-matching, and other parallel