Sentences with phrase «using neural»

Using neural - developmental strategies, specialists work one - on - one with the child to improve emotional regulation and de-escalate crises, while the child is cared for at home.

Using neural networks — computer systems modeled on the human brain and nervous system — researchers were able to correct for for mistyped letters, misspellings, character insertions, and deletions.

Using neural networks called Faster - RCNNs, [we] extracted panels from pages, and speech bubbles from panels.

Training the thing to tell people apart sounds rather easy, and Google is using neural networks to identify who's who!

The answer I got was that the TrueDepth camera system captures a crude depth mask with the IR system and then, in part using the Neural Engine Block on the A11 Bionic processor, persistently tracks and matches facial movement and expressions with the RGB camera.

Among his most important projects is his most recent, Neuralink, that hopes to keep AI and mankind from becoming separate, but instead unifying us using neural implants so we can function as one.

The systems reads the map, matches it against the stored image on the phone using a neural network processor built into the phone, and unlocks the phone.

The feature works by using neural networks trained to analyze messages and convert them into numerical codes that represent their meaning.

Using neural networks to examine the behavior of negotiators in thousands of cases, Picture It Settled can predict what an opponent will do, thereby saving time and money while optimizing settlements.

A reminder that Tsonis et all using a neural net model to simulate chaos and the behavior of ocean currents, give predictions for the next century.

Also described are applications to large scale computation using neural oscillators, and to time - delayed tele - operation between synchronized groups.

[27] Nvidia has achieved high accuracy in developing self - driving features including lane keeping using the neural network based training mechanism in which they use a front facing camera in a car and run it through a route and then uses the steering input and camera images of the road fed into the neural network and make it «learn».

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The researchers explored using a neural network to shake ever harder to find worlds out of the Kepler data.

We're using a neural device to make long - term changes in neural circuits after spinal cord injury.

Karl Deisseroth, M.D., Ph.D., Matthew Lovett - Barron, Ph.D., and Stanford University, Palo Alto, California, colleagues, report on findings using a neural activity screening technology they call Multi-MAP (Multiplexed - alignment of Molecular and Activity Phenotypes) online Nov. 2, 2017 in the journal Cell.

The group's objectives are focused on using neural progenies of human Pluripotent Stem (hPS) cells to understand and develop new treatments for Huntington Disease (HD).

Next, working with anesthetized rats, they sent direct ionic current into the sciatic nerve in the legs and, using neural recording electrodes, recorded whether this current inhibited the activity of individual or groups of neurons at the spinal cord.

In the future, the understanding of this interaction between two brains would allow for the comprehension and analysis of very complex aspects of the fields of psychology, sociology, psychiatry, or education, using the neural images within an ecological or real - world context.

«This is the first demonstration of the profile of angiogenic molecules expression using neural stem cells derived from patients with schizophrenia, which shows they have a less angiogenic profile when compared to controls,» says Palma.

The brain also filters out errors using a neural code based on coincidences in timing.

These signals obtained using a neural interface are essential for realizing brain - machine interfaces (BMI).

If we are using neural systems whose evolutionary purpose was to find things like food, we reach a point rather quickly where the numbers no longer matter.

His team came up with the idea of a cognitively controlled hearing aid after they demonstrated it was possible to decode the attended target of a listener using neural responses in the listener's brain using invasive neural recordings in humans (Nature 2012).

Twitter today is taking another step to build up its machine learning muscle, and also potentially to improve how it delivers photos and videos across its apps: the company is acquiring Magic Pony Technology, a company based out of London that has developed techniques of using neural networks (systems that essentially are designed to think like human brains) and machine learning to provide expanded data for images — used, for example, to enhance a picture or video taken on a mobile phone; or to help develop graphics for virtual reality or augmented reality applications.

Kuyda used the neural language platform of her AI startup Luka to resurrect a semblance of him, based on years of text messages and emails.

Deep Text uses neural networks, a subset of AI and deep learning intended to mimic activity of the human brain, to understand written language so that it can then act accordingly.

Botnik Studios used neural networking to create a fake Coachella lineup, where a computer read a bunch of past festival lineups and essentially came out with a ton of fake band names.

It used neural networks to learn the game and make its decisions.

«In the future, we hope that we will be able to use neural stem cells for brain repair — for example for diseases such as cognitive aging, Parkinson's and Alzheimer's disease or major depression,» summarizes Jessberger.

Then, for each application, they used a neural network to find correlations between particular neuromuscular signals and particular words.

Before playing a human, AlphaGo used its neural networks to analyze 30 million moves made by human experts, and then discovered new strategies by playing itself thousands of times.

Jeanne Loring, a stem - cell biologist at the Scripps Research Institute in La Jolla, California, who is also planning stem - cell trials for Parkinson's, is concerned that the Australian and Chinese trials use neural precursors and not ES - cell - derived cells that have fully committed to becoming dopamine - producing cells.

And we use the neural data from her brain and the map of her brain signals we've generated to understand what she's trying to do and make that happen.

Christopher Shallue of Google and Andrew Vanderburg at the University of Texas at Austin used a neural network — a type of machine learning that mimics the connections in a brain — to look for new planets in old Kepler data.

Now a team of researchers in Kyoto has used neural network - based artificial intelligence to decode and predict what a person is seeing or imagining, referring to a significantly larger catalog of images.

For instance, the trials underway in China and Australia use neural progenitor cells that can grow to become a variety of different cell types.

These scientists are working on processes such as decoding neural signals, developing new ways to use neural signals in assistive technology, and mining neural data for more accurate predictors of psychiatric illnesses.

«Our research shows that deep - learning techniques, which use neural networks and have revolutionized the field of artificial intelligence, are effective at reducing data while capturing its hidden patterns.»

Cortical development and cortical stem cells The laboratory uses neural stem cell culture, transgenic model systems and retroviral vectors to study signalling pathways that are central in mouse cortical development and in particular in cortical stem cells.

Through Machine Learning, the system uses neural network algorithms to provide personalized learning paths for learners aligned to their business objectives:

Driver - intent - oriented control system adopted; System uses a neural network, which deduces the driver's driving intention based on accelerator operation and vehicle state to automatically switch between normal and power shifting

- Q&A: THX's Tuffy On God Of War II Audio, Neural THX Advances «As console tech advances swiftly, HDTVs are joined by surround sound systems as important equipment for high - end gamers, and THX's Mark Tuffy talks to Gamasutra about the company's audio / video standards, its work on Warhawk and God Of War II and plans for «a major publisher» to use its Neural THX tech next year.»

Deep learning is a type of machine learning that uses neural networks.

«The NLP engine uses neural networks to determine the intent of a specific utterance and it can extract important entities such as dates and locations from the text,» says Ozmerd.

In the NDK, Google did add a Neural Networks API to Android 8.1, which is going to allow Google to use Neural Networks in more parts of the operating system.

Before this, KGI Securities analyst Ming - Chi Kuo, who has a proven track record when it comes to Apple rumors, wrote in a note to investors that the next 10.5 - inch and 12.9 - inch iPad Pro will have a Face ID experience «consistent with the iPhone X.» Face ID uses a neural engine to map the contours and shapes of faces in real time.

Researchers have found a way to use neural networks to create DSLR - quality photos from snapshots taken with low - end smartphones.

One of the phone's most prominent features is its Face ID system, which uses a neural engine to allow users to unlock their phones with their faces.

More applications and use cases based on Google's AutoML, which uses neural networks to create more neural networks.