Today, there is a boom in Artificial Intelligence. Here are some of the fields in which AI will affect immensely:
-Medicine/ Surgery/ Drugs
-Virtual Personal Assistants/ Intelligent Personal Assistants
-Cyborgs/ Humanoids/ Robots
-Autonomous Vehicles
-Business and Industries
-Space technology
-Military and other dangerous jobs.
-Gaming
I have merely scratched the surface without revealing how AI will help the above fields. I suggest you read: The Future of Artificial Intelligence. It will give you a good idea of where AI is headed and what our future will look like.
All normal humans have the same intellectual mechanisms and any differences in intelligence are related to “quantitative biochemical and physiological conditions”. Speed, short term memory and the ability to form accurate and retrievable long term memories. That’s with humans. In AI the situation is the reverse.
Computer programs have plenty of speed and memory but their abilities correspond to the intellectual mechanisms that program designers understand well enough to put in programs. Some abilities that children normally don’t develop until they are teenagers may be in and some abilities possessed by two year olds are still out.
The matter is further complicated by the fact that the cognitive sciences still have not succeeded in determining exactly what the human abilities are. Very likely the organisation of the intellectual mechanisms for AI can usefully be different from that in people.
Whenever people do better than computers on some task or computers use a lot of computation to do as well as people, this demonstrates that the program designers lack understanding of the intellectual mechanisms required to do the task efficiently.
To answer your question, 10 years from now we begin to understand and emulate the algorithms behind the intellectual mechanism from humans to machines.
20 years from now we, humans are still perfecting the “emotional algorithms” for AI
2050. 35 years from now, machines are us and we are machines.
The past few years have been landmark years for advancements in artificial intelligence.
Recently, tech giants like Facebook and Google have created their own AI labs to produce robots capable of learning to play video games without any instructions.
Google now has their own form of AI called Deep Learning, which in 2015 doubled in the amount of projects using it. A huge focus right now for startups and giants alike is to learn how to use AI to help better automate a machine’s ability to solve problems on the fly.
There’s definite signs that machines with artificial intelligence will soon be taking over skilled manual work that now is typically handled by humans. Amazon recently showed interest in getting more robots working in its fulfillment centers by holding a contest called the Amazon Picking Challenge at a prominent robotics conference, which awarded $25,000 to the team that could design a robot to identify and grasp items from a storage shelf as quickly as possible.
While this may seem like a trivial task for us, grasping items haphazardly arranged on a shelf requires intelligence, expert coordination, and an understanding of one’s environment — skills that up until this point have been quite difficult for robotkind.
Amazon already employs the use of robots in its fulfillment centers according to the reports of those that have been given behind the scenes peeks. The word is that these centers are already highly automated and sophisticated, with robot workers that transport products between humans as endpoints in a finely tuned system.
Amazon is not the only organization backing up innovations in artificial intelligence. TheDARPA Robotics Challenge, funded by the U.S. military, gave participants the lofty goal of designing humanoid robots capable of responding to highly dangerous disaster scenarios.
Robots needed to make their way through a series of grueling challenges; testing their skills in everything from opening doors to operating power tools. The $2M prize ended up going to a participant who won because his robot could both walk and roll along on its knees.
Facebook has been doing some interesting things in its AI lab with a deep learning AI capable of parsing language and holding meaningful conversations. They also recently started a personal assisting service called “M” that is using human workers to train future AI.
No other point in history has seen this much engagement in the development of artificial intelligence, and it’s showing. These past few years have been a shining moment in history for AI, with the epic unveiling of self learning robots. A new issue to ponder: How do we face our fears of a future AI mutiny? How do we keep new technologies in check? With the development of standards to prevent robots from ever turning on their makers, the next new advancements in artificial intelligence will be of interest to watch.
