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
One type
of computer learning algorithm is
called a
neural network.
Companies trawl the web to gather billions
of images and use them to train an algorithm inspired by neurons in the brain,
called a deep
neural network.
Another,
called Neuroscapes, showcases images
of neurons and
neural networks.
«This connection between an innate
call and the activity
of a brain area important to learned vocalisations suggests that during the evolution
of songbirds, the role
of the song area in the brain changed from being a simple vocalisation system for innate
calls to a specialised
neural network for learned songs,» concludes Manfred Gahr, coordinator
of the study.
The recipe for the success
of this computer programme is made possible through a combination
of the so -
called Monte Carlo Tree Search and deep
neural networks based on machine learning and artificial intelligence.
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.
Burke's team used a machine learning technique
called a convolutional
neural network, which has revolutionized the field
of machine vision.
Using advanced computer vision tools, the researchers trained an artificial
neural network (what's
called a convolutional
neural network) to determine - with 90 percent accuracy or more - the age, gender, and race
of the candidates» followers using their Twitter photos.
The quantum state
of the physical system is encoded in a so -
called neural network, and learning is achieved in small steps by translating the current state
of the
network into predicted measurement probabilities.
The algorithms, which tell computers how to learn from data, are used in computer models
called artificial
neural networks — webs
of interconnected virtual neurons that transmit signals to their neighbors by switching on and off, or «firing.»
In a paper published in PLOS Computational Biology in May, computational neuroscientists in the United Kingdom and Australia found that when
neural networks using an algorithm for sparse coding
called Products
of Experts, invented by Hinton in 2002, are exposed to the same abnormal visual data as live cats (for example, the cats and
neural networks both see only striped images), their neurons develop almost exactly the same abnormalities.
So their rise has spawned a field some
call «AI neuroscience»: an effort to open up the black box
of neural networks, building confidence in the insights that they yield.
The researcher is using it to rewrite methods that the team has used for decoding EEG data: So -
called artificial
neural networks are the heart
of the current project at BrainLinks - BrainTools.
Artificial - intelligence research has been transformed by machine - learning systems
called neural networks, which learn how to perform tasks by analyzing huge volumes
of training data.
For this purpose, so -
called artificial
neural networks are used, mathematical models
of the human brain.
The researchers» machine - learning system is a
neural network, so
called because it roughly approximates the architecture
of the human brain.
Researchers at Stevens Institute
of Technology in Hoboken, New Jersey, started with a so -
called generative adversarial
network, or GAN, which comprises two artificial
neural networks.
To solve the knowledge problem, they used what are
called deep
neural networks — in this case two 13 - layer - deep
networks that consist
of millions
of connections, akin to
neural connections in the human brain.
In earlier work, Poggio's group had trained
neural networks to produce invariant representations by, essentially, memorizing a representative set
of orientations for just a handful
of faces, which Poggio
calls «templates.»
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.
Argonne is part
of a multi-institutional effort advancing an exascale computing framework focused on the development
of the deep
neural network code
called CANDLE, to help understand these mutations.
These millions
of GI neurons make up a highly integrated
neural network called the enteric nervous system.
The study also revealed that an area
of the brain
called the default mode
network, which is involved in activities like daydreaming and thinking about the past and the future, shows greater
neural connectivity in meditators than nonmeditators.
He
called the use
of Xbox One's cloud processing to create the mechanic a «tremendous opportunity» and added, «When you've got a learning
neural network, more computing power is nothing but helpful.
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.
Tass has reported that in a recently held all - Russian competition
called as «Digital Economy: Generation Z» school children in the age - group
of 11 to 17 years old and with «experience in creating digital projects based on
neural networks and blockchains and who own an investment portfolio
of several cryptocurrencies» were invited to participate.