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Artificial Intelligence

Artificial Intelligence- a machine learning instructor

Artificial IntelligenceArtificial Intelligence Definition: Artificial intelligence (AI) is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. However, people are familiar with the term to the project of developing systems endowed with the intellectual processes characteristic of humans such as the ability to reason, discover meaning, generalize or learn from past experience.

Artificial Intelligence examples:

There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. So, the program might then store the solution with the position so that the next time the computer encountered the same position it would recall the solution.

The reason is to draw inferences appropriate to the situation. Inferences are classified as either deductive or inductive. An example of the former is, “William must be in either the museum or the café. He is not in the café; therefore he is in the museum,” and of the latter, “ instrument failure has caused previous accidents.”

Problem solving
Problem solving, particularly in artificial intelligence, may be characterized as a systematic search through a range of possible actions in order to reach some predefined goal or solution. Also, problem-solving methods divide into special purpose and general purpose. A special method can resolve particular problem and often exploits very specific features of the situation.

At present, artificial perception is enables optical sensors to identify individuals, autonomous vehicles to drive at moderate speeds on the open road and robots to roam through buildings collecting empty soda cans.

A language is a system of signs having meaning by convention. Traffic signs, for example, form a minilanguage, is a matter of convention that {hazard symbol} means “hazard ahead” in some countries.

Methods and Goals in Artificial Intelligence

Symbolic vs. connectionist approaches
AI research follows two distinct and to some extent competing, methods, the symbolic (or “top-down”) approach and the connectionist (or “bottom-up”) approach. The top-down approach seeks to replicate intelligence by analyzing cognition in dependent of the biological structure of the brain, in terms of the processing of symbols—whence the symbolic label.

To illustrate the difference between these approaches, consider the task of building a system, equipped with an optical scanner, that recognizes the letters of the alphabet. A bottom-up approach typically involves training an artificial neural network by presenting letters to it one by one, gradually improving performance by “tuning” the network. (Tuning adjusts the responsiveness of different neural pathways to different stimuli.).

Strong AI, applied AI and cognitive simulation
Employing the methods outlined above, AI research attempts to reach one of three goals: strong AI, applied AI, or cognitive emulation. Strong AI aims to build machines that think.  The ultimate ambition of strong AI is to produce a machine whose overall intellectual ability is indistinguishable from that of a human being.

Top 12 Most Popular Artificial Intelligence Software

Cloud Machine Learning Engine
Azure Machine Learning Studio
Salesforce Einstein
IBM Watson
Apache PredictionIO
Nvidia Deep Learning AI
Future of Artificial Intelligence:
Introducing Sensing+ for Agriculture

Importance of Artificial Intelligence and impact


Sensing+ for Agriculture is an integrated sensor, analytics and app solution that helps growers make more informed decisions and reduce risk. By harnessing the power of artificial intelligence, Sensing+ can help growers gain understanding into their crops and land like never before.

Everyday life

From sensors in the ground to predictions seamlessly delivered via mobile app, all hardware and software is supplied as a complete ecosystem – giving you the insights that matter, without the hassle.

• Sense-Analyze-Predict-Inform
• Installation, maintenance & support – sorted
• Growing conditions your farm
• Custom growing conditions alerts
• Recording 24/7
• impact everyday life

Automated Transportation

Cyborg Technology
Taking over dangerous jobs
Solving climate change
Robot as friends
Improved elder care

Electronic Products

• Autonomous vehicles are starting to become a mainstream topic in the news these days.
• Facebook and Twitter are two companies using A.I. to match people to relevant content on their respective sites. It is most noteworthy that Google has been one of the pioneers in perfecting the use of A.I. to pair people with what they are looking for.
• There are many experts who are concerned by A.I. are certainly including Tesla founder Elon Musk — he just recently publicized his $10 million dollar investment in 37 research projects to make sure A.I. never gets the upper hand.

Artificial Intelligence problems

The AI is a programme to do something devastating: Autonomous weapons are artificial intelligence systems that to kill. In the hands of the wrong person, these weapons could easily cause mass casualties. Moreover, an AI arms race could inadvertently lead to an AI war that also results in mass casualties.

The AI is a programme to do something beneficial, but it develops a destructive method for achieving its goal: This can happen whenever we fail to fully align the AI’s goals with ours, which is strikingly difficult. If you ask an obedient intelligent car to take you to the airport as fast as possible, it might get you there chased by helicopters and covered in vomit, doing not what you wanted but literally what you asked for.

Artificial Intelligence controversy

If you drive down the road, you have a subjective experience of colors, sounds, etc. Although this mystery of consciousness is interesting in its own right, it’s irrelevant to AI risk. If a driverless car stuck you, it makes no difference to you whether it subjectively feels conscious. The real worry isn’t malevolence but competence.

Artificial Intelligence Movies
There are numerous numbers of artificial intelligence movies which are reflection of the fact. Some are mentioned below:
Avengers: Infinity War (2018)
Tau (2018)
Star Wars: The Last Jedi (2017)
Blade Runner 2049 (2017)
Alien: Covenant (2017),
Transformers: The Last Knight (2017)
Passengers (2016 film)
Infinity Chamber (2016)
Rogue One: A Star Wars Story (2016)

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