This is the fourth of a five-part series “The Robot Spoke” by Dr. Patrice Caire, AI & Social Robotics Consultant. In the previous articles in
In the previous articles in this series, we discovered how machines learned to listen, learned to see, and even learned to speak (a bit). Progress was being made on all fronts—from greater computing power, to better data-processing, to fancier algorithms. But fluidly conversing with humans was still a pipe dream. That would soon evolve: the 2010s would prove to be a gamechanger.
We use standards every day, in all aspects of our lives. Some standards have been around for hundreds or even thousands of years. Think, for example, of weights and measures and how their differences and similarities affect us all. Think of electric plugs and outlets and the need to have a universal plug adapter on hand when traveling.
The field of Artificial Intelligence encompasses all possible approaches to simulating intelligence. Machine learning, one branch of AI, uses data and experience to train algorithms automatically. Deep learning, a sub-field of machine learning, in turn uses algorithms (called neural networks) to simulate the learning process.
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