Sentences with phrase «from deep neural networks»

Not exact matches

It uses various artificial intelligence and NLP techniques (including deep learning, neural networks, and semi-supervised named entity recognition) to provide a suite of tools to suggest the right content to post (from other people's tweets to share to articles or videos from news outlets) that will win over your followers.

To do so, a deep neural network automatically separates each of the speakers from the mixture, and compares each speaker with the neural data from the user's brain.

Seeking additional insight into similar mechanisms at work in other centers of the brain, Donato and his team discovered that the signal to develop one area known to be involved in more abstract functions, including memory and navigation, originated from deep within the brain, in a specific population of neurons that kicks off the maturation of an entire neural network.

This is where the new method comes into play, linking up the deep neural networks with the Monte Carlo Tree Search — a constellation which is so promising that currently a large number of researchers from a variety of disciplines are working on it.

The neural network from Google Brain — one of the search giant's deep - learning teams — is able to perform eight tasks, including image and speech recognition, translation and sentence analysis.

Such «optical neural networks» could make any application of so - called deep learning — from virtual assistants to language translators — many times faster and more efficient.

Predictive accuracies ranging from 89.4 % to as high as 99.1 % show that trained deep learning neural networks (DNNs) can identify weather fronts, tropical cyclones, and long narrow air flows that transport water vapor from the tropics called atmospheric rivers.

Mathematicians at Lawrence Berkeley National Laboratory (Berkeley Lab) have developed a radical new approach to machine learning: a new type of highly efficient «deep convolutional neural network» that can automatically analyze complex experimental scientific images from limited data.

Using deep learning feature from built - in neural - network processing unit, the phone can understand you.

The two are combined when a deep neural network extracts the style from the painting and an algorithm then combines the two patterns together.

With the support of an Arts, Science & Culture Initiative Graduate Collaboration Grant from the University of Chicago, I worked with John Santerre, a computer science PhD at UChicago, to train a deep neural network (DNN) on a publicly available dataset of satellite images.

During Deep Epoch, Dullaart shows a new series of oil paintings based on images generated by «neural networks»; works derived from his recent performative intervention The Possibility of an Army, as well as photographic prints from his Instragram project for Jeu de Paume and HMKV: High Retention, Slow Delivery.

Instead of using standard versions of facial recognition technology from the 1990s up to 2000, Harvey used deep neural networks that in controlled test environments have a 99 percent accuracy rate, though in «Hansel & Gretel» that rate falls far lower.

However, it also says that it «us [es] a collection of audio samples and a deep recurrent neural network,» suggesting that it either a) has samples of individual notes from instruments or b) splices together or layers snippets of sampled audio the algorithm believes will work well together.

Startup SWIM.AI emerges from stealth with technology that applies deep neural networking models to enable data analysis at the edge of the network.