Google is giving its translation service an upgrade with a new machine learning-powered addition that will allow users to more easily translate text that appears in the real world, like on ...

It also has an obvious drawback: If a chunk of text doesn’t perfectly fit the pattern, it’s not going to be matched. Machine learning offers a different approach: Train the computer to look at the ...

machine learning starts with a task definition that specifies an input that should be mapped to a corresponding output. The task in this example is to take a snippet of text from one language ...

from text to images to video. Machine learning is a subset of AI that makes use of deep learning and neural network techniques to generate content based on patterns it observes in a wide array of ...

Here Huyen refers to embeddings in machine learning. Embeddings can be thought of as a way to represent vectors, which is what machine learning models work with to represent information pertaining ...

Betker is the creator of Tortoise, a text-to-speech program that implements some of the latest machine-learning techniques to generate speech based on a reference voice. Initially starting ...

They then used a machine-learning algorithm to analyze the patterns in the neural data. "We showed that we can monitor the activity in a dog's brain while it is watching a video and, to at least a ...