Predictions for Artificial Intelligence

            Predictions for Artificial Intelligence

                           in 2018

positive reinforcement

Learning through reinforcement provides inspiration in ways that animals learn that certain behaviors are due to positive or negative consequences. Using this approach, a computer can say, how to navigate a maze by testing and error, and then add positive results - coming out of the maze - with the task that goes ahead for it. It allows learning without any instruction or machine examples.

This idea has been around decades, but in conjunction with large (or deep) neural networks, it actually provides the necessary power to work on complex problems (like Go's game). Along with tireless experiments as well as analysis of previous games, Alphao has found out for himself how to play the game at an expert level.

language learning

Ask AI researchers what their next big goal is, and they are likely to mention the language. It is expected that such techniques which have made great progress in voice and image recognition, can also help the computer to produce pars and language more effectively among other areas.

It is a long-term goal in artificial intelligence, and the possibility of communicating a computer and using spoken language is attractive. Understanding the better language, machines can be very useful. But the challenge is in view of a formidable, complexity, subtlety and language power.


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