GPU

Extracting data from images to classify them, identify elements, or build richer documents is now standard practice in many industries. Frameworks like Caffe2, combined with Tesla V100 GPUs, are a key part of this, for projects such as medical imaging, social networks, public protection and security.

When quick responses to varied and unpredictable situations are required (for self-driving cars and internet network traffic analysis, for example), real-time analysis is essential. This is where deep learning comes in, forming neural networks that learn independently through a training stage.

In the past, people people learned to communicate with machines. In the modern era, machines are learning to communicate with people. Through speech recognition and the identification of emotions from sound and video, tools like Tensorflow are transforming these interactions, opening up a world of new opportunities.