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Artificial Intelligence
Done by : Maitha, Maryam, Alya
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
To build systems that exhibit intelligent behavior.
In 1950 English Mathematician Alan Turing published a paper entitled “Computing Machinery and Intelligence” which opened the doors to the field that would be called AI. This was years before the community adopted the term Artificial Intelligence as coined by John McCarthy. The paper itself began by posing the simple question, “Can machines think?”. Turing then went on to propose a method for evaluating whether machines can think, which came to be known as the Turing test. The test, or “Imitation Game” as it was called in the paper, was put forth as a simple test that could be used to prove that machines could think. The Turing test takes a simple pragmatic approach, assuming that a computer that is indistinguishable from an intelligent human actually has shown that machines can think.
In its early days, artificial intelligence was closely allied with the study of human cognition, to the benefit of both fields. Many early AI researchers were concerned with using computers to model the nature of people’s thinking, while others freely borrowed ideas from psychology in their construction of intelligent artifacts. Over the past 20 years, this link has largely been broken, with very few of the field’s researchers showing concern with results from psychology or even taking inspiration from human behavior. I maintain that this trend is an unfortunate one which has hurt our ability to pursue two of AI’s original goals: to understand the nature of the human mind and to achieve artifacts that exhibit human-level intelligence.
In its early days, artificial intelligence was closely allied with the study of human cognition, to the benefit of both fields. Many early AI researchers were concerned with using computers to model the nature of people’s thinking, while others freely borrowed ideas from psychology in their construction of intelligent artifacts. Over the past 20 years, this link has largely been broken, with very few of the field’s researchers showing concern with results from psychology or even taking inspiration from human behavior. I maintain that this trend is an unfortunate one which has hurt our ability to pursue two of AI’s original goals: to understand the nature of the human mind and to achieve artifacts that exhibit human-level intelligence.
The simple answer is that AI has advanced to a point where it is fundamentally changing industries by creating commercial solution efficiencies on an unprecedented scale. The application of Machine Learning in data center power management illustrates this
Data centers are being built around the world by private companies and governments in response to the rapid growth in data being generated by web-based activity. Google have shown that when they turn on machine learning they can reduce the power usage effectiveness of data centres, reducing cooling costs by 40%
When scalable, this AI application could be replicated across other power usages to generate vast efficiency gains that will improve cost.
"AI can have two purposes. One is to use the power of computers to augment human thinking, just as we use motors to augment human or horse power. Robotics and expert systems are major branches of that. The other is to use a computer's artificial intelligence to understand how humans think. In a humanoid way. If you test your programs not merely by what they can accomplish, but how they accomplish it, they you're really doing cognitive science; you're using AI to understand the human mind."
- Herb Simon
Future of AI :
Improved medical care and treatment
Open up does to future explorations
Self driving cars
Getting access to your house by a remote control
Etc…
Building Trust
AI Human Interface
Investment
Software Malfunction
Can Replace only Certain Tasks
High Expectations
Advantages and Disadvantages
Advantage :
Disadvantage :