Deep learning imitates the network of neurons in a human brain.

It consists of algorithms, which allow machines to train to perform tasks that include computer vision, speech recognition, natural language processing, and more.

Here’s an interesting look at what deep learning means for industry.

Computer vision is the most popular deep learning application used across the industry. Pattern recognition, optical character recognition, code recognition, facial recognition, object recognition, natural language processing and digital image processing are all driving the demand for deep learning.

Industrial robots have been around for decades. What will happen when they are connected to AI? What will the job market look like and how will entire industries change?

If we were to ask where the combination of robotics and AI can provide industrial transformation, the immediate view in many people’s minds is the direct replacement of human workers, for example in picking strawberries. This is only a part of the picture, significant gains are also enabled by replacing or upgrading existing machines (see our welding example above), by augmenting human capabilities (such as by presetting no-go zones in robotic surgery) and by opening completely new options that previously were not possible (for example micro surgery robots may need to make their own decisions due to difficulty in communicating with them inside the body).