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Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai
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A groundbreaking dataset of 470 whole-slide images reveals the potential for AI to transform breast cancer diagnostics through detailed patch-wise classification.
Achieving 89.57% valid metasurface designs, this framework redefines how we approach inverse design in electromagnetic applications.
HyperLoRA achieves faster convergence and stronger personalization by replacing traditional optimization with learned operators, revolutionizing federated learning efficiency.
