Sentences with phrase «deep neural network with»

This is made possible by pairing the smartwatch with DeepHeart, an AI - based deep neural network with disease detection accuracy of 85 percent.

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.

Not exact matches

But researchers believed that more could be accomplished with multilayer — or deep — neural networks.

Armed with this information, deep learning and neural networks can create algorithms and strategies that are unique to your brand - thus ensuring that the brand remains competitive and innovative.

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.

Mike Preuss, an information systems specialist and co-author of the study, summarizes it as follows, in a somewhat simplified way: «The deep neural networks are used for predicting which reactions are possible with a certain molecule.

If the training is sufficiently long (again, the training is very computer - intensive) and the images are processed in deep enough networks — those with many layers of processing elements — the neural network generalizes and can accurately recognize a new photograph as containing a feline.

DEEP LEARNING How a neural network with multiple layers becomes sensitive to progressively more abstract patterns.

Deep neural networks (DNNs), which have been developed with reference to the network structures and the operational algorithms of the brain, have achieved notable success in a broad range of fields, including computer vision, in which they have produced results comparable to, and in some cases superior to, human experts.

It is also the first to demonstrate that a deep convolutional neural network — a computing system modelled after the neuron activity in animal brains that can basically learn on its own — can effectively differentiate between similar plants with an amazing accuracy of nearly 100 %.

«Artificial neural networks could power up curation of natural history collections: Deep learning techniques manage to differentiate between similar plant families with up to 99 percent accuracy.»

But what makes DeepMind's AlphaGo so advanced is the way they put together these tools, along with the high performance of the deep neural networks.

This group, which included 347 people with known AF, used the Apple Watch and an app developed by Cardiogram, Inc., to provide more than 139 million measurements of heart rates and step counts in workout mode to train the app's deep neural network.

In the field of deep learning, deep neural networks (DNNs) with many layers and millions of connections are now trained routinely through stochastic gradient descent (SGD).

Using fluorescent labels with unlabeled images to train a deep neural network to bring out image detail.

In a separate paper, we show how gradients can be combined with neuroevolution to improve the ability to evolve recurrent and very deep neural networks, enabling the evolution of DNNs with over one hundred layers, a level far beyond what was previously shown possible through neuroevolution.

«This is especially relevant when applying deep neural networks to medical tasks where the disease - specific data is often costly to label with a gold standard and where the datasets are relatively small in sample size compared to those for deep learning applications in other fields.»

When coupled with deep neural networks — a type of machine - learning algorithm that has demonstrated high accuracy in performing pattern and image recognition — the devices would be able to provide continuous data collection to detect irregular heart rhythms.

Argonne's Exascale Deep Learning and Simulation Enabled Precision Medicine for Cancer project — which focuses on building a scalable deep neural network code called the CANcer Distributed Learning Environment (CANDLE)-- was recognized with the following honor Deep Learning and Simulation Enabled Precision Medicine for Cancer project — which focuses on building a scalable deep neural network code called the CANcer Distributed Learning Environment (CANDLE)-- was recognized with the following honor deep neural network code called the CANcer Distributed Learning Environment (CANDLE)-- was recognized with the following honor (s):

AlphaGo therefore combines an advanced tree search with deep neural networks.

With AI tech making great strides over the past five years, and our personal mobile devices now containing deep neural networks like Siri, Cortana and Google Now, Butcher said that AI will completely transform online dating.

Remedy Entertainment has partnered up with NVIDIA to streamline production - level facial performance capture using deep convolutional neural networks.

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 imaWith 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 imawith John Santerre, a computer science PhD at UChicago, to train a deep neural network (DNN) on a publicly available dataset of satellite images.

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

It's powered by in - house software called DriveWorks, which Nvidia says works with a deep neural network called PilotNet to safely control a car autonomously in real - world conditions.

It is powered by Huawei Kirin 970 chipset combined with built - in NPU (neural - network processing unit) enables deep learning based on user behavior, ensuring your honor View10 truly understands you.

The new Exynos processor also comes with neural network - based deep learning for enhanced user experience and improved security.