Presentation By: Tripti Negi Priyanka Kapil gogia Gurpeet Singh

Timeline For AI 1943 "Colossus", the first electronic computer was created 1950 The Turing Test was proposed by Alan Turing 1951 Marvin Minksy and Dean Edmonds built first neural network where the computer simulated a rat finding its way through a maze John McCarthy and Marvin Minsky founded AI lab at MIT 1958 LISP developed by a team led by John McCarthy. LISP was the first non-procedural programming language which is still used for programming AI 1966 John Weizenbaum wrote a program called "Eliza". The program was like a therapist and asked questions of patients Stanford University built a robot called "Shakey" which could recognise shapes and colours and navigate a path through coloured blocks 1970s The first expert systems appeared 1997 Super computer "Deep Blue" defeated world champion chess player Gary Kasparov 1997 First time AI system controlled a space craft "Deep Space II" late 1990s web bots and crawlers developed to give information to search engines for internet Present programmers are still trying to develop a computer which can successfully pass The Turing Test H I S T O R Y

Alan Turing Father of modern computer science The first computer, built in 1943, was "Colossus" "Colossus" John McCarthy -Professor of computer science at Stanford university -Coined the term Artificial Intelligence in His research area has been the formalization of common sense knowledge

It is a technique which focusing on creating machines that can engage in behaviors that humans consider intelligent. After 50 years of research the dream of smart machines is gradually becoming a reality. We are increasingly becoming more dependent on intelligent machines.

Systems dependent on artificial intelligence would normally require more processing capabilities than normal systems. Hardware Systems require a range of sensors to receive input data from the environment Output devices will include the normal peripheral devices such as printers, monitors but also include a range of actuators.actuators Robotics are used in CAM systems.CAM systems

R e q u ir e m e n t

Artificial intelligence has been used in a wide range of fields including medical diagnosis, stock trading, robot control, law, scientific discovery and toys. Many thousands of AI applications are deeply embedded in the infrastructure of every industry. In the late 90s and early 21st century, AI technology became widely used as elements of larger systems

Finance Banks use artificial intelligence systems to organize operations, invest in stocks, and manage properties. In August 2001, robots beat humans in a simulated financial trading competition Medicine Artificial neural networks are used for medical diagnosis (such as in Concept Processing technology in EMR software), functioning as machine differential diagnosis. Heavy industry Robots have become common in many industries. They are often given jobs that are considered dangerous to humans. Transportation Fuzzy logic controllers have been developed for automatic gearboxes in automobiles Music The evolution of music has always been affected by technology. With AI, scientists are trying to make the computer emulate the activities of the skillful musician

M AJOR B RANCHES OF A RTIFICIAL I NTELLIGENCE ROBOTICS VISION SYSTEMS LEARNING SYSTEMS NATURAL LANGUAGE PROCESSING NEURAL NETWORKS EXPERT SYSTEMS

T HE DIFFERENCE BETWEEN N ATURAL AND A RTIFICIAL I NTELLIGENCE Attributes Natural Intelligence (Human) Artificial Intelligence (Machine) The ability to use sensors (eyes, ears, touch, smell)HIGHLOW The ability to be creative and imaginativeHIGHLOW The ability to learn from experienceHIGHLOW The ability to be adaptiveHIGHLOW The ability to afford the cost of acquiring intelligenceHIGHLOW The ability to use a variety of information sourceHIGH The ability to acquire large amount of external information HIGH The ability to make complex calculationsLOWHIGH The ability to transfer informationLOWHIGH The ability to make a series of calculations rapidly and accurately LOWHIGH

In the next 10 years technologies in narrow fields such as speech recognition will continue to improve and will reach human levels. We will recreate some parts of the human (animal) brain in silicon. There are two major projects aiming for human brain simulation, CCortex and IBM Blue Brain. AI will be able to communicate with humans in structured English using text or voice, navigate in an prepared environment and will have some rudimentary common sense.

Robots take over everyone's jobs Create laziness Expensive service

It is the science and engineering of making intelligence machine. Different scientists have different point of view for AI. The first concept of AI began with first computer. were design to solve problems. Requirement of Ai have more processing capabilities than normal system like hardware, software. AI has been use in a wide range of fields including medical diagnosis, stop trading,law etc In the next 10 years technologies used in narrow field such as speech recognition will continue to improve and will reach human level. The future impact of AI in humans like unemployment.