logo of US Semiconductor company Qualcomm in the Alpine resort of Davos during the World Economic Forum (WEF) annual meeting. The World Economic Forum takes place in Davos from January 19 to January ...

This module differs from the built-in PyTorch BatchNorm as the mean and standard-deviation are reduced across all devices during training. For example, when one uses nn.DataParallel to wrap the ...

Compute you can’t feed is wasted silicon. The hard, still-unsolved problem is the memory architecture that keeps every tensor unit working, and that is what we designed from the core up.” — ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

Many current microscopy methods increasingly rely on computation as an integral part of the imaging process. This model-based approach to optics—integrating optical system design with algorithmic ...

The exciting part is that PyTorch is becoming more practical for real systems. torch.compile helps optimize execution. torch.export helps create deployable model representations. Distributed training ...