Learn how DenseNet works and why it’s a powerful architecture in deep learning. This tutorial breaks down DenseNet’s key concepts, including dense connections, feature reuse, and parameter efficiency ...

Co-design, that is, designing software and hardware simultaneously, is one way of attempting to meet the computing-power needs of today’s artificial intelligence applications. Compilers, which ...

It is the computational processing of images that reveals the finest details of a sample placed under all kinds of different ...

Mohapatra’s goal is to design robust deep learning frameworks capable of adapting to practical sensing scenarios in healthcare, continuous sensing, and audio domains.

Flex Logix Technologies, Inc. announced today that its embedded FPGA will be integrated into a next-generation deep learning chip in TSMC 16FFC that is being developed by the research group of ...

Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in success rates ...