Theory of AI
“The Intelligence is not to make
nomistakes but quickly to understand
how to make them good.”
The theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, an ideal “intelligent” machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at some goal.
The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain.
Artificial intelligence today is properly known as narrow AI (or weak AI), in that it is designed to perform a narrow task (e.g. only facial recognition or only internet searches or only driving a car). However, the long-term goal of many researchers is to create general AI (AGI or strong AI). While narrow AI may outperform humans at whatever its specific task is, like playing chess or solving equations, AGI would outperform humans at nearly every cognitive task.
AI in Gaming
Beginning of Video games:-
Basically game is a form of competitive activity or sport played according to rules. A video game is an electronic game that involves human or animal interaction with a user interface to generate visual feedback on a video device such as a TV screen or computer monitor.
The AL is more beneficiary then only having safety side of human. To make the living requirements more accurate and efficient we are using the Al to full fill this requirements. (In simple language we can say that we are close to build our own artificial world.)
In the near term, the goal of keeping AI’s impact on society beneficial motivates research in many areas, from economics and law to technical topics such as verification, validity, security and control.
AI and the API: Developing the next generation of smart mobile apps:
When thinking about smart apps or artificial intelligence (AI) today, Siri, Cortana, or Assistant probably come to mind. Hundreds of linguists and software engineers dedicate countless hours to building these services into responsive personal assistants that can answer questions, track down information, send messages, launch services, and more.
Developers outside the virtual assistant sphere tend to think they don’t need and can’t afford such sophisticated functionality in their own apps. This is no longer the case. All developers can and should add an intelligent voice interface into their apps.
Speech recognition is one thing, but the understanding of speech required for AI is another.Many developers who have already integrated voice recognition into their app mistakenly think that this step alone is enough.