Sentences with phrase «trained machine learning algorithms»

Using computer vision, Echo Look can help you decide what shirt or dress to wear by taking a picture and running it through style - trained machine learning algorithms.

It's an Alexa - enabled device equipped with a depth - sensing camera and LED lighting that will take pictures of your outfit, via voice command, and offer fashion advice through style - trained machine learning algorithms.

Facebook used this collection to train its machine learning algorithms.

An iterative method that uses completely random document samples to train the machine learning algorithm until the desired result is achieved.

In fact, attorneys participate in training these machine learning algorithms, as each query entered into the system helps to expand and refine the legal analysis the algorithm returns.

Not exact matches

The subset of machine learning composed of algorithms that permit software to train itself to perform tasks, like speech and image recognition, by exposing multilayered neural networks to vast amounts of data.

IBM is using machine learning algorithms to train robots to better associate appropriate gestures and tones with phrases.

Researchers at the University of Pennsylvania recently trained a machine - learning algorithm on nearly 29,000 domestic violence cases to see how it might perform.

After that, a classifier algorithm based on machine learning was trained to connect the specific emotions and the brain data related to them.

Using a training set of images of people from the Web, the machine learning algorithms mastered identifying a human figure and nine anatomical sections, such as torso, upper left arm or lower right leg.

That tight connection was liable to train discriminatory machine - learning algorithms.

On the flip side, other research groups have proposed de-biasing the outputs of already - trained machine - learning algorithms.

Xiaolin Wu and Xi Zhang, researchers at China's Shanghai Jiao Tong University, trained a machine - learning algorithm on a dataset of 1,856 photos of faces — 730 convicted criminals and 1,126 non-criminals.

Machine learning is the process by which software developers train an AI algorithm, using massive amounts of data relevant to the task at hand.

SUPERVISED LEARNING A type of machine learning in which the algorithm compares its outputs with the correct outputs during tLEARNING A type of machine learning in which the algorithm compares its outputs with the correct outputs during tlearning in which the algorithm compares its outputs with the correct outputs during training.

These ratings were then used to train a machine - learning algorithm to extract a single score from the measured values that would faithfully reflect the perceptual judgement of the volunteers.

A machine - learning algorithm trained to identify further Star Wars bots found almost 357,000 matches (arxiv.org/abs/1701.02405).

«To go beyond this we use modern machine - learning methods where you don't necessarily know how a computer has made a decision about a particular sound, but by training it, which means showing it lots of previous examples, we can encourage a computer algorithm to generalise from those.»

Machine learning involves training a computer to recognise patterns in data, and is central to many algorithms that drive Google's services.

Seattle, WA USA About Blog Mighty AI enables machine learning teams to generate accurate and diverse annotations on their datasets to train, validate, and test their algorithms.

Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models.

These guys have used these new machine learning techniques to train algorithms to recognize the artist and style of a fine - art painting with an accuracy that has never been achieved before.

With machine learning, speech recognition, vision recognition and language processing, along with modern computing power, machines are now able to process large sums of data needed to train system algorithms to learn and improve over time.

The «truth» the authors ** are exploring in their research relates to the quality of the «gold standards» used to train, test and measure the success of machine learning algorithms.

It uses 3D sensors and algorithms trained via machine learning to digest its surroundings, keep track of known faces, and, notably, to differentiate between pets and human beings.

The company is now taking its AI - easy approach one step further with Cloud AutoML, a new tool that will let users train their own custom machine learning algorithms from scratch, without having to write a single line of code.

The company plans to increase its content moderation workforce to more than 10,000 employees in 2018 in order to help screen videos and train the platform's machine learning algorithms to spot and remove problematic children's content.

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.