This paper presents APOSTLE, an asynchronously parallel optimization method for sizing analog transistors using Deep Neural Network (DNN) learning. This work introduces several methods to minimize ...

Discover the 20 best neural network software. Learn about the features of each software and find the best one. Written by eWEEK content and product recommendations are editorially independent. We ...

Alina Karakanta, Jon Dehdari, Josef van Genabith, Neural machine translation for low-resource languages without parallel corpora, Machine Translation, Vol. 32, No. 1/2, NLP in Low-Resource Languages ...

Scientists in India have proposed using a multilayer neural network to find line-to-ground, line-to-line, and bypass diode faults in PV module strings. They tested the new approach on a 22.5 kW ...

BitReXe is a proposed Layer 2 architecture to build out multiple EVM's on top of Bitcoin that can run in parallel, accomplishing more scalable smart contract execution on a second layer.

It’s even more difficult to understand a deep neural network that’s crunching a system such as Earth’s climate, which consists of myriad moving parts. Still, the rewards are worth the work.

This style of neural network is also known as a cyclical graph. The backward movement opens up a variety of more sophisticated learning techniques, and also makes RNNs more complex than some other ...

Ellen Campana, leader of enterprise AI at KPMG U.S., suggests that the ideal neural network architecture should be based on the data size, the problem to be solved and the available computing ...

Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth.