The encoder market is advancing steadily as automation, robotics, and digital control systems become integral to industrial and consumer applications. Encoders—devices that convert motion into ...

First, to better capture the fluctuating trends of printing sequence in different cleaning cycles, we propose a multi-scale convolutional attention network, in which a multi-head attention with ...

See the post positions for the 151st editions of the Kentucky Derby and Kentucky Oaks, which will be run next week at Churchill Downs in Louisville.

Advanced position encoding innovations, including rotary position embeddings and dynamic calibration. A novel routing mechanism that replaces the traditional auxiliary loss with a dynamic bias ...

Deep learning has been instrumental in feature extraction from various data types, such as images and sequences, which inherently possess oriented structures. However, graph data, which delineate ...

I have tried adding torch.compiler.cudagraph_mark_step_begin() before each predictor call, no change, see pytorch/pytorch#141171. I'm following the video prediction notebook and using box prompts.

Experiments on Position Encoding Coupled with RNNs Source code used in the study entitled "Positional Encoding Helps Recurrent Neural Networks Handle a Large Vocabulary".