AI discovers computational complex. </li></li></ul><li>History Of AI (cont)<br /><ul><li>Ernst Dickmanns
The team of Ernst Dickmanns built the first robot cars (Robots used by common people).</li></ul>After the September 11, 2001 there has been much renewed interest and funding for threat-detection Artificial Intelligence systems, including machine vision research and data-mining. <br />
WHAT IS ARTIFICIAL INTELLIGENCE ?“Putting Human Intelligence into a Machine”<br />
WHAT IS ARTIFICIAL INTELLIGENCE ?<br /><ul><li>Definition:</li></ul>“Artificial intelligence (AI)is a branch of computer science that deals with intelligent behavior, learning, and adaptation in machines” <br />(Wikipedia)<br /><ul><li>Artificial intelligence is the capability of a man-made device, such as a computer, robot or toy, to think it ways that we as humans think.
Artificial intelligence In a machine is much more than just the input of data, it also involves the machine being able to apply that data, reason with that information, and to learn and grow through experience.</li></li></ul><li>CURRENT AI<br />Artificial Intelligence in our everyday life <br /><ul><li>CARS
Physical exams</li></li></ul><li>CURRENT AIINTELLEGENT GAMESComputer ChessExplores huge number of potential future moves by both players.Half-LifeFirst combat oriented game to incorporate a significant amount of artificial intelligence into its game play.<br />
Pattern Recognition </li></li></ul><li>INTELLIGENT ROBOTIC<br />A Robot is a electro-mechanical device that can be programmed to perform manual tasks or a reprogrammable multi functional manipulator designed to move materials, parts, tools, or specialized devices through variable programmed motions for performance of variety of tasks.<br />An ‘intelligent’ robot includes some kind of sensory apparatus that allows it to respond to change in it’s environment.<br />
INTELLIGENT ROBOTIC (CONT)<br />This picture shows a Historic Space Handshake between Shuttle and Space Station Robots - Image Courtesy of CSA.<br />
Authorizing Financial Transactions <br />Credit card providers, telephone companies, banks employ systems which are based on Artificial Intelligence to detect fraud and expedite financial transactions. <br />These Systems uses learning algorithms . <br />Constructs profiles of customer usage patterns. <br />Then use the resulting profiles to detect unusual patterns and take the appropriate action (e.g., disable the credit card).<br /> Such advanced systems are very much important in achieving a viable basis in Electronic Commerce. <br />
Configuring Hardware and Software <br />Artificial Intelligence systems configure custom computer, communications, and manufacturing systems, guaranteeing the purchaser maximum efficiency and minimum setup time.<br />Provides the seller with tracking power for the system components and specifications. <br />These systems actually detects order incompleteness and inconsistencies. <br />Systems currently deployed process billions of dollars of orders annually; the estimated value of the market leader in this area is over a billion dollars. <br />
Diagnosing and Treating Problems <br />Systems that diagnose and treat problems -- in people are now in widespread use. <br />Diagnostic systems based on Artificial Intelligence technology are being built into computer operating systems, and office automation tools to reduce service calls. <br />AI-based systems assist physicians in many kinds of medical diagnosis, in prescribing treatments, and in monitoring patient responses. <br />Microsoft's Office Assistant, an integral part of every Office application, provides users with customized help by means of decision-theoretic reasoning. <br />
Scheduling for Manufacturing <br />The use of Artificial Intelligence’s automatic scheduling for manufacturing operations is gaining much importance.<br />As the manufacturers realize that there is ever more efficient use of resources. <br />This Artificial Intelligence technology -- supports rapid rescheduling up and down the "supply chain" .<br />It has shown itself superior to less adaptable systems based on older technology. <br />
Scheduling for Manufacturing(cont)<br />This same technology has proven highly effective in other commercial tasks, including job shop scheduling, and assigning airport gates and railway crews. <br />It also has proven highly effective In military settings – e.g. In DARPA <br />
Automated Reasoning <br />Automated reasoning is an area which includes understanding different aspects of reasoning. <br />E.g. creation of software which allows computers to reason completely or nearly.<br />The most developed subareas of automated reasoning probably are automated theorem proving and automated proof checking.<br /> Other important topics are reasoning under uncertainty and non-monotonic reasoning. <br />John Pollock's Oscar system is an example of an automated argumentation system that is more specific than being just an automated theorem prover.<br />
Computer Vision<br />People generally use vision as their primary means of sensing their environment, we generally see more than we hear, feel or smell or taste.<br />The goal of computer vision research is to give computers this same powerful facility for understanding their surrounding. <br />Here AI helps computer to understand what they see through attached cameras.<br />
Intelligent Agents<br />An intelligent agent (IA) is an autonomous entity which observes and acts upon an environment(i.e. it is an agent) and directs its activity towards achieving goals .<br />Intelligent agents in artificial intelligence are closely related to agents in economics.<br />They can also be stated as ,-An autonomous software program that carries out tasks on behalf of users i.e. the Software Agents.<br />E.g. A reflex machine such as a thermostat is an intelligent agent.<br />
Pattern Recognition<br />A branch of artificial intelligence concerned with the classification or description of observations.<br /> Pattern recognition aims to classify data (patterns) based on either a prior knowledge or on statistical information extracted from the patterns.<br />One of the most effective ways to find meaning in data is to find the patterns that represent it.<br />The two major divisions of pattern recognition are machine vision and sound<br />
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