User:Wmhe1/sandbox

Introduction
Age of Contextual Adaptation, “Context Normalization” is third state of art of Artificial Intelligent (AI) which spoken by the DARPH's Information Office. Basically, the age of contextual adaptations is one of the process that how the computer learn for the human intelligence.

Contextual Adaptation
The third age of AI, “context normalization” programs are capable of analyzing enormous banks of unassociated data points, identifying statistical patterns and creating algorithms that generate novel hypotheses to explain those patterns. This represents the cutting edge of artificial intelligence innovation today.

Context normalization technology has been used by large companies such as Johnson & Johnson to achieve significant competitive advantages over their competitors. At Innoplexus, we’ve built products that allow companies to drastically increase the efficiency of their research and marketing efforts — all based on proprietary third-wave AI programs.

As a startup leader, you should be excited about third-wave AI for two reasons. First, this technology has the potential to dramatically increase the quantity and variety of data that can be analyzed. Imagine if you had a program that could scrape user profiles on hundreds of websites and social platforms to generate actionable sales leads. This capability might not be far off.

Secondly, third-wave AI has the potential to automate almost any repetitive manual task, far exceeding the automation capabilities of second-wave AI. That one data-entry process that takes up way too much of your sales team’s time may soon be handled by a programme.

Artificial Intelligent
The general definition of AI is the capability of a computer system to perform tasks that normally require human intelligence, such as visual perception, speech recognition and decision-making.

Handcrafted Knowledge
The first age of AI, Handcrafted Knowledge, experts devised algorithms and software according to the knowledge that they themselves possessed, and tried to provide these programs with logical rules that were deciphered and consolidated throughout human history. This approach led to the creation of chess-playing computers, and of deliveries optimization software. Most of the software we’re using today is based on AI of this kind: our Windows operating system, our smartphone apps, and even the traffic lights that allow people to cross the street when they press a button.

Statistical Learning
The second age of AI, Statistical learning systems are highly successful at understanding the world around them: they can distinguish between two different people or between different vowels. They can learn and adapt themselves to different situations if they’re properly trained. However, unlike first wave systems, they’re limited in their logical capacity: they don’t rely on precise rules, but instead they go for the solutions that “work well enough, usually”.

Literature Review
Bhardwaj, G. (2018). How the 3 Waves of Artificial Intelligence Can Elevate Your Startup. StartupNation. Retrieved from https://startupnation.com/grow-your-business/artificial-intelligence-elevate-startup/

Cummings, M. L. (2017). Artificial Intelligence and the Future of Warfare. Chatham House, The Royal Institute of International Affairs.

Tzezana, R. (2017). Artificial Intelligence Tech Will Arrive in Three Waves. Futurism, The Byte. Retrieved from https://futurism.com/artificial-intelligence-tech-will-arrive-in-three-waves