CONTENTS INTRODUCTION History Applications Languages FUTURE OF AI ADVANTAGES DISADVANTAGES Conclusion
INTRODUCTION OF AI Artificial intelligence is the creation of Intelligent machines that work and react like humans.Artificial Intelligence becomes the important part of our daily life. Using the machine for the work speed up your process of doing work and give you an accurate result. It is also a field of study which tries to make computers smart. In general use, the term Artificial Intelligence means a machine which mimics human cognition.
HISTORY • IN 1950 English Mathematician Alan Turing wrote a landmark paper titled “Computer Machinery and Intelligence” that asked the question “Can Machines Think?”. • Further work came out of a 1956 workshop at Dartmouth sponsored by John McCarthy. In the proposal for that workshop, he coined The phrase a “Study of Artificial Intelligence”
APPLICATIONS OF AI • E-Commerce • Robotics • Technology • Higher Education • Healthcare • Manufacturing • Retail Sector • Self-Driving cars • Business Marketing • Banking and finance • Telecommunications • Stock Trading
LANGUAGES USED IN AI Python: Python is considered to be in the first place in the list of all AI development languages due to the simplicity. The syntaxes belonging to python are very simple and can be easily learnt. Python takes short development time in comparison to other languages like Java, C++ or Ruby. R: R is one of the most effective language and environment for analyzing and manipulating the data for statistical purposes. Using R, we can easily produce well-designed publication-quality plot, including mathematical symbols and formulae where needed.
LANGUAGES USED IN AI LISP: Lisp is one of the oldest and the most suited languages for the development in AI. It was invented by John McCarthy, the father of Artificial Intelligence in 1958. It has the capability of processing the symbolic information effectively. Prolog: This language stays alongside Lisp when we talk about development in AI field. The features provided by it include efficient pattern matching, tree-based data structuring and automatic backtracking.
FUTURE OF AI Artificial intelligence is developing faster than you think, and speeding up exponentially You use artificial intelligence all day, every day Robots are definitely going to take your job A lot of smart people think developing artificial intelligence to human level is a dangerous thing to do Once artificial intelligence gets smarter than humans, we've got very little chance of understanding it.
ADVANTAGES OF AI • AI would have a low error rate compared to humans, if coded properly. They would have incredible precision, accuracy, and speed. • More powerful and more useful computers • New and improved interfaces • Solving new problems • Better handling of information • Replace humans in repetitive, tedious tasks and in many laborious places of work. • Can detect fraud in card-based systems, and possibly other systems in the future. • Organized and manages records.
DISADVANTAGES OF AI • Can cost a lot of money and time to build, rebuild, and repair. Robotic repair can occur to reduce time and humans needing to fix it, but that'll cost more money and resources. • Storage is expansive, but access and retrieval may not lead to connections in memory as well as humans could. • Machines can easily lead to destruction, if put in the wrong hands. That is, at least a fear of many humans. • Difficulty with software Development
CONCLUSION AI is at the center of a new enterprise to build computational models of intelligence. The main assumption is that intelligence (human or otherwise) can be represented in terms of symbol structures and symbolic operations which can be programmed in a digital computer.