Not just robots....!

Today I'm going to tell you about different types of Artificial intelligence.It is not just robots ....;)!!!

          Knowledge representation (KR) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language.

• Braina, an intelligent personal assistant application with a voice interface for Windows OS.  Google Now, an intelligent personal assistant with a voice interface in Google's, Android and Apple Inc.'s iOS, as well as Google Chrome web browser on personal computers.
• Microsoft Cortana, an intelligent personal assistant with a voice interface in Microsoft's Windows 8.1. 
• Siri, an intelligent personal assistant and knowledge navigator with a voice-interface in Apple Inc.'s iOS. SNePS, a simultaneously a logic-based, frame-based, and network-based knowledge representation, reasonin, and acting system.
• Watson, a question answering system developed by IBM. Has played the Jeopardy! game show.

  Games and creativity, in video games, Artificial intelligence is used to generate intelligent behaviors primarily in non-player characters (NPCs), often simulating human-like intelligence. The techniques used typically draw upon existing methods from the field of artificial intelligence (AI). However, the term game AI is often used to refer to a broad set of algorithms that also include techniques from control theory, robotics, computer graphics and computer science in general.

• Deep Blue, a chess-playing computer developed by IBM which beat Garry Kasparov in 1997.
• Stockfish AI, an open source chess engine currently ranked the highest in many computer chess rankings.
• FreeHAL, a self-learning conversation simulator (chatterbot) which uses semantic nets to organize its knowledge to imitate a very close human behavior within conversations.
• TD-Gammon, a program that learned to play world-class backgammon partly by playing against itself (temporal difference learning with neural networks).

      The development of natural language interfaces and machine translation. Natural language processing (NLP) is a field of computer science, artificial intelligence, and linguistics concerned with the interactions between computers and human (natural) languages. As such, NLP is related to the area of human–computer interaction. Many challenges in NLP involve natural language understanding, that is, enabling computers to derive meaning from human or natural language input, and others involve natural language generation.

• AIML, an XML dialect for creating natural language software agents.
• Artificial Linguistic Internet Computer Entity (A.L.I.C.E.), an award-winning natural language processing chatter robot.
• ELIZA, a famous 1966 computer program by Joseph Weizenbaum, which parodied person-centered therapy.
• Jabberwacky, a chatterbot by Rollo Carpenter, aiming to simulate a natural human chat.
• SYSTRAN, a machine translation technology by a company of the same name, used by Yahoo!, AltaVista ad Google, and others.

        Pattern recognition "A branch of artificial intelligence concerned with the classification or description of observations. Pattern recognition aims to classify data (patterns) based on either a priori knowledge or on statistical information extracted from the patterns. The patterns to be classified are usually groups of measurements or observations, defining points in an appropriate multidimensional space."

        New computer architectures. Artificial architecture, also referred to as algorithmic architecture and algorithmic design, is the research area combining architectural design and artificial intelligence. It can be considered a subfield of design computing, with emphases on artificial intelligence, computational creativity and knowledge engineering. The main objectives of this field are:

• Automatic generation of variations on architectural features, structures and objects
• Definition of computable models of architectural knowledge, as general and flexible as possible.

Intelligent robots. Artificial intelligence (AI) is arguably the most exciting field in robotics. It's certainly the most controversial: Everybody agrees that a robot can work in an assembly line, but there's no consensus on whether a robot can ever be intelligent. Some modern robots also have the ability to learn in a limited capacity. Some robots can interact socially. Kismet, a robot at M.I.T's

Artificial Intelligence Lab, recognizes human body language and voice inflection and responds appropriately. Kismet's creators are interested in how humans and babies interact, based only on tone of speech and visual cue.

Mobile robot, Industrial robots (manipulating), Service robot, Educational robot, Collaborative robots, Military robots, General-purpose autonomous robots, Factory robots.

https://www.youtube.com/watch?v=S5AnWzjHtWA

Special software:

• Neuroph, a Java neural network framework.
• OpenCog, a GPL-licensed framework for machine learning, genetic programming, probabilistic reasoning, natural language processing and virtual worldembodiment, written in C++, Python and Scheme.
• RapidMiner, an environment for machine learning and data mining, developed by the Dortmund
• Weka, a free implementation of many machine learning algorithms in Java.

Education and learning:

•  Artificial intelligence can automate basic activities in education, like grading.
• Educational software can be adapted to student needs.
• It can point out places where courses need to improve. Students could get additional support from AI tutors.
• AI-driven programs can give students and educators helpful feedback.
• It could change the role of teachers.
• AI can make trial-and-error learning less intimidating.
• Data powered by AI can change how schools find, teach, and support students.
• AI may change where students learn, who teaches them, and how they acquire basic skills.

http://www.teachthought.com/technology/10-roles-for-artificial-intelligence-in-education/

http://science.howstuffworks.com/robot6.htmhttp://aitopics.org/topic/pattern-recognition

http://www.sciencedaily.com/news/computers_math/artificial_intelligence/