Sentences with phrase «type of neural network»

Looking deeper, Fraden studied how a type of neural network present in the eel, named the Central Pattern Generator, produces waves of chemical pulses that propagate down the eel's spine to rhythmically drive swimming muscles.

PERCEPTRON An early type of neural network, developed in the 1950s.

They use a special type of neural network called a «deep neural network» to do the processing — so named because its learning is performed through a deep layered structure inspired by the human brain.

Not exact matches

The company — comprising a team of neuroscientists, computer scientists, astrophysicists, artists and entrepreneurs — says it uses a new type of «neural - network algorithm» to analyze millions of reviews and descriptions, and then recommends restaurants based on the data you have entered into the site, according to a report from Forbes.

Using machine learning and neural networks, it can now predict the type of question you're asking and suggest responses based on what you type.

But these neural networks can sometimes stumble if they are fed certain types of pictures with bad lighting and obstructed objects.

One type of computer learning algorithm is called a neural network.

Artificial neural networks are a type of artificial intelligence algorithm inspired by the structure of the human brain.

«New algorithm repairs corrupted digital images in one step: Technique uses the power of artificial neural networks to address several types of flaws and degradations in a single image at once.»

Critical to the research is a type of algorithm called a convolutional neural network, which has been instrumental in enabling computers and smartphones to recognize faces and objects.

The only way to monitor the hundreds of millions of transactions that flow through banks every day, he says, «is to give a machine human - type cognition through neural networks, so that it's trained in past behavior.»

The researchers used a type of machine - learning, known as a deep neural network, to analyze the data.

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.

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.

Concretely, based on basic research on nanoscale materials, such as atomic and molecular transport and chemical reaction processes, polarization and excitation of charge and spin and superconducting phenomena, we are conducting research on atomic switches, artificial synapses, molecular devices, new quantum bits, neural network - type network circuits, next - generation devices, high sensitivity integrated molecular sensors and other new applied technologies.

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.

It is using the full range of research methods, including genetic tools and computational analysis, to understand how each intermingled cell type functions in a neural network.

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

Deep learning is a type of artificial intelligence that relies on artificial neural networks to train on lots of data, like speech recordings, and then makes inferences about new data.

The new version uses a type of artificial intelligence called deep learning, specifically Long Short - Term Memory Recurrent Neural Networks, Google research scientist Françoise Beaufays explained in a blog post today.

Letting neural networks be weird Boulder, CO About Blog I train neural networks, a type of machine learning algorithm, to write unintentional humor as they struggle to imitate human datasets.

Boulder, CO About Blog I train neural networks, a type of machine learning algorithm, to write unintentional humor as they struggle to imitate human datasets.