This enables an efficient utilization of caches and GPU/SIMD parallelism but leads to a waste of computation time. In this paper, we implement and parallelize batch learning for a Sequence-to- ...

In this paper, we develop a deep learning network to make personalized predictions of their behaviors among a list of potential choices. The architecture of this model combines each user's features ...

The company will also preview its Pro Convert Xmit AIO, the first member of the Xmit family, at Infocomm. The streaming encoder/decoder is a standalone device that converts one channel of SDI or HDMI ...

Next-generation U-Net Encoder: Decoder for accurate, automated CTC detection from images of peripheral blood nucleated cells stained with EPCAM and DAPI. Authors: ... Results: Analysis of total 1564 ...

Celebrating that success by exploring the technology of cassette data storage is the idea behind [Greg Strike]’s Kansas City decoder project, which he hopes to use with his [Ben Eater]-style ...

Our model achieved competitive results, mainly owing to the design of sequence-based, structural, biochemical, and statistical multisource features. Moreover, different encoders constructed based on ...