The Landscape of AI
Published: Sep 15, 2019
Photo courtesy: David
Twice in the past, AI has seen periods of buzz followed by AI winters, where both funding and interest in AI research have dried up. Is AI still making castles in the air? Not this time. The successes of AI have been real and promise of the future seems genuine.
Abstract: The popular discourse on future of artificial intelligence oscillates between extreme tales of job loss and human-robot wars on the one hand and exceptional impact on all walks of life on the other. In this article we discuss these and related questions regarding the importance of AI in modern life.
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Term Power
What is ...
It is a learning model with robust algorithm and very high programming language which acts like human brain and is used to solve complicated problems.
Computers use algorithms to list out detailed instructions to carry out an operation. For example, to compute an employee’s paycheck, the computer uses an algorithm. To accomplish this task, appropriate data must be entered into the system.
Big data is a field that treats ways to analyse, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data processing application software.
This AI models mimics human thinking. There is an assimilation of strong algorithm and other AI models likely ‘natural language processing’, ‘data mining’ and ‘pattern recognition’ to generate self-learning process.
A chess playing computer produced by IBM, known to win both a chess game and world championship under time regulations in February, 10, 1996. It also can play without human player.
It is a sub parts of Deep Web, mostly used for criminal or unfair activities. Although not attainable by internet browsers but hacking sites or suspicious informative pages or ‘pop-up’ pages are examples of dark web.
It is built based on genetic principles and natural selection and used to solve any riddles or other difficult problems related to genetic science, which eventually took decades to solve.
Is a question-answering computer system in natural language developed by IBM's DeepQA project and named after IBM's first CEO Thomas J Watson.
A paradigm facet in AI that focuses on algorithms which helps machine to learn without being programmed and change when exposed to new data.
Ability of a computer to process and analyse natural language information. In brief it is meant to identify individual human language, speech and enable better communication between machines and humans.
Is an algorithm for a computer that uses binary coding of supervised learning, in order to stimulate a machine to take its own decision.
Sophia is a humanoid robot developed by 'Hanson robotics', in 2016. It has robust algorithm which can identify different human voices, detect visible features and produce more than fifty facial expressions. It is also a question answering robot.
SI is a collective behaviour of decentralised and self-organised systems to produce desired outputs, which was primarily developed in the context of ‘cellular robotics’. It is also known an Intelligent Agent and boids—an AI life programme, simulated by flocking behaviour of birds. Popular examples of SI are ‘ant colonies’, ‘bird flocking’, ‘hawk hunting’ etc.
A set of instructions given to a computer to make its own decision regarding the input. For instance: Input 1: all dogs are animal; Input 2: Stoic is a dog; Query: Is Stoic a dog?;
Answer: Yes.
It is an electronic unit in a computer or any smart gadgets which can manipulate data and alter ‘memory’ (primary storage space) to accelerate image creation process. Simply GPU is the video display controller in a computer.