Engineers from Colorado - based Lightning Systems are
using artificial neural networks to predict accurately the fuel economy and tailpipe emissions of fleet vehicles.
Their technique demonstrates some of the advances possible through deep learning — a form of machine learning that
uses artificial neural networks to mimic the way the brain makes connections between pieces of information.
Lamb and his fellow researchers, including college colleagues Tariq Akmal and Kathy Baldwin,
use an artificial neural network they named the Student Task and Cognition Model.
They then
used an artificial neural network algorithm to statistically examine how often words appear together in a sentence, or speech.
A new publication has
used artificial neural networks that utilise extensive teaching materials for forecasting thunder.
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.
DeepHeart is an
artificial neural network — a form of AI — that
uses heart rate and step count data collected by wearables to detect medical conditions.
«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.»
Zwicker and his colleagues can «train» their algorithm by exposing it to a large database of high - quality, uncorrupted images widely
used for research with
artificial neural networks.
And precision agriculture, a subdomain of agricultural engineering, which involves the
use of satellites and
artificial neural networks among others, is often employed to spot crop stress and make adjustments to irrigation and fertilization regimens.
It is one of the more eclectic of the psychological disciplines, overlapping at times with areas such as neuroscience, philosophy (particularly philosophy of mind), neurology, psychiatry and computer science (particularly by making
use of
artificial neural networks).
It has been developed
using a Convolutional
Neural Network (CNN)-- an area of
artificial intelligence (AI) which
uses machine learning to give computers the ability to learn without being explicitly programmed.
A camera was
used to capture the beams of light and an
artificial neural network was deployed to reveal the pattern and remove any possible disturbances that may have been caused by air turbulence.
By
using «
artificial neurons» — essentially lines of code, software — with
neural network models, they can parse out the various elements that go into recognizing a specific place or object.
But because scientific data often looks much different from the data
used for animal photos and speech, developing the right
artificial neural network can feel like an impossible guessing game for nonexperts.
In 1948, he wrote a report arguing for his theory, and in doing so gave an early description of the
artificial neural networks used to simulate neurons today.
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 ph
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 ph
using their Twitter photos.
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.»
As Manel del Valle, the main author of the study, explains: «The concept of the electronic tongue consists in
using a generic array of sensors, in other words with generic response to the various chemical compounds involved, which generate a varied spectrum of information with advanced tools for processing, pattern recognition and even
artificial neural networks.»
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.
From the work, he created an «
artificial neural network» tool, now
used by the National Weather Service, that significantly improves snowfall prediction.
Liesbeth Venema discusses the hope that
neural networks using memristor technology may be the answer to
artificial intelligence (5 August,...
An
artificial neural network is
used to transform low - resolution microscopic images of samples into high - resolution images, revealing more details of the sample, which could be crucial for pathology and medical diagnostics.
For this purpose, so - called
artificial neural networks are
used, mathematical models of the human brain.
Over the past few years, the team has focused on developing new methods in Evolutionary Computation (EC), i.e. designing
artificial neural network architectures, building commercial applications, and solving challenging computational problems
using methods inspired by natural evolution.
Now
artificial intelligence is poised to lend photographic fakery a new level of sophistication, thanks to
artificial neural networks whose algorithms can analyze millions of pictures of real people and places — and
use them to create convincing fictional ones.
As Manel del Valle, the main author of the study, explains to SINC: «The concept of the electronic tongue consists in
using a generic array of sensors, in other words with generic response to the various chemical compounds involved, which generate a varied spectrum of information with advanced tools for processing, pattern recognition and even
artificial neural networks.»
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.
The lead engineers behind the A.I. of Google are
using «inception» to test out their
artificial neural networks - a strategy that has...
Once the Vanderbilt small molecule library has been screened for potential modulators of the Y4 receptor, I will
use the results to design efficient and accurate descriptors that can be
used with
artificial neural networks to predict activity at the Y4 receptor based on a small molecule's structural properties.
«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.»
Specifically, we
used a variety of linear and nonlinear methods such as
artificial neural networks (ANN), decision trees and ensembles, multiple linear regression, and k - nearest neighbors to generate present and future daily precipitation occurrences and amounts.
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.
The SwiftKey team will join Microsoft's research team and it's clear the company admires the
artificial intelligence work SwiftKey has produced with its latest Android keyboard that
uses a
neural network instead of its standard algorithms when predicting words.