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Also provides code for text generation.

This tag cloud app not only generates the "tags" on it's own from document content, but it uses color to indicate the "age" ...

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Compete in a simulated robotics league for very real prizes. Based on the Microsoft Robotics Studio ...

The direct consequence of the project's capabilities will allow it to be used as a tool for understanding various techniques for creating Intelligent Agents.

« Simon was among the founding fathers of several of today's important scientific domains, including artificial intelligence, information processing, decision-making, problem-solving, attention economics, organization theory, complex systems, and computer simulation of scientific discovery. He coined the terms bounded rationality and satisficing, and was the first to analyze the architecture of complexity and to propose a preferential attachment mechanism to explain power law distributions. »

This article describes how to build a simple chatbot using RL3 and Python.

The future is here with voice and natural language serve up. This is an important step in marking the service of our digital systems to us, and we have begun from the age of landlines. We have slowly evolved to touch-based palm-sized phones and computers, and now we have Apple's Siri, Amazon's Alexa, Microsoft's Cortana, and Google Assistant. For the purpose of building voice and natural language capabilities into your own applications, one has to depend on cloud options. But if you are wondering why limit yourself only to Amazon or Apple, and create your own, you are on the right track. Anyone can build their system and enable the voice with multiple devices. It is only the difference of speech to text, followed by a query parser, a pipeline, a rules engine, and of course a pluggable architecture with mandatory open APIs.

Discovering and enacting the path to safe artificial general intelligence.