Abstract: As wafer maps become increasingly complex and high-dimensional, conventional clustering methods often fail to uncover subtle but meaningful defect patterns critical for yield enhancement and ...

Real-world test of Apple's latest implementation of Mac cluster computing proves it can help AI researchers work using massive models, thanks to pooling memory resources over Thunderbolt 5. One month ...

SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.

Abstract: Deep subspace clustering methods based on autoencoder (AE) have achieved impressive performance in various applications. However, these methods often place excessive reliance on the AE ...