Researchers at Jinhua Advanced Research Institute and Harbin University of Science and Technology have recently developed a deep learning ... by means of emotion recognition," Han Tian, Zhang ...

The major factors driving the market growth include the global adoption of Al, ML, and deep learning technologies, the increasing need for emotion ... image recognition cameras are using more ...

To achieve this, tech companies like Microsoft, IBM, and Amazon all sell what they call “emotion recognition” algorithms ... Clients can put this tech to use in a variety of ways, building ...

The idea of automated affect recognition is as compelling ... Affectiva has coded a variety of emotion-related applications, primarily using deep-learning techniques. These approaches include ...

Applications include real-time analysis of emotional ... for use in research or commercial environments. Gridspace uses deep learning networks to drive sophisticated speech recognition systems.

Companies like Microsoft and Google use deep learning to solve difficult problems in areas such as speech recognition, image recognition, 3-D object recognition, and natural language processing.

Deep learning is the area of artificial intelligence ... It’s first practical use was in image recognition, where it was put to work sorting through the millions of images uploaded to the ...