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since the inception of artificial intelligence, research in the field has fallen into two main camps. The “symbolists” have sought to build intelligent machines by coding in logical rules and representations of the world. The “connectionists” have sought to construct artificial neural networks, inspired by biology, to learn about the world. The two groups have historically not gotten along.
It is possible to train just a neural network to answer questions about a scene by feeding in millions of examples as training data. But a human child doesn’t require such a vast amount of data in order to grasp what a new object is or how it relates to other objects. Also, a network trained that way has no real understanding of the concepts involved—it’s just a vast pattern-matching exercise. So such a system would be prone to making very silly mistakes when faced with new scenarios. This is a common problem with today’s neural networks and underpins shortcomings that are easily exposed
The system consists of several pieces. One neural network is trained on a series of scenes made up of a small number of objects. Another neural network is trained on a series of text-based question-answer pairs about the scene, such as “Q: What’s the color of the sphere?” “A: Red.” This network learns to map the natural language questions to a simple program that can be run on a scene to produce an answer.
The NS-CL system is also programed to understand symbolic concepts in text such as “objects,” “object attributes,” and “spatial relationship.” That knowledge helps NS-CL answer new questions about a different scene—a type of feat that is far more challenging using a connectionist approach alone. The system thus recognizes concepts in new questions and can relate them visually to the scene before it.
Neuroevolution, or neuro-evolution, is a form of artificial intelligence that uses evolutionary algorithms to generate artificial neural networks (ANN), parameters, topology and rules. It is most commonly applied in artificial life, general game playing and evolutionary robotics."
originally posted by: Spacespider
There is no such thing as A.I yet...
All "A.I" are just programs made by programmers as of now.
originally posted by: dfnj2015
a reply to: Irikash
Here's a funny article. The ultimate goal of Artificial Intelligence is unbiased communist government:
What is the Ultimate Goal of Artificial Intelligence
It's been 69 years since ENIAC has been created. And despite Hollywood's favorite science-fiction nemesis nothing has really change in the way computers have worked. You would think in those 69 years if "strong AI" were a possibility it would have happened by now.