Artificial intelligence Ideas- Best in 2020

Artificial intelligence Ideas

Artificial intelligence Ideas want to present some technical solution issues..! I even wrote an article on what is artificial intelligence..? do even visit that site for more information..!

Ideas

Regarding the application of artificial intelligence, it is not controversial, but there are too. much artificial intelligence operating in many different areas and really do not have proper integration and not yet achieved. So-Called wisdom (self-learning ability). So let us imagine an artificial intelligence that will become the centre of knowledge of humanity, capable of learning, communicating and controlling connected peripheral systems.

Currently, we have many support tools such as voice recognition, face recognition, 3D technology … but all of them are too discrete..!

Internet data can be extremely rich and confusing and storing raw form; there is no association, any correlation in these data if we systematically save it under…!

Concepts

First of all, let’s define the word “understand” a little way: “understanding” an object means that we recognize it,

meaning that all or part of the characteristic data of that object we have “learned” and stored in memory,

when by sensory organs we receive a specific data of this object (shape, material, utility, nature, language …)

and compare with our archived data will identify the object and thereby identify other features of the object not through the sensory system.

The concept of “decision making”: Our decision comes from the order of central processing (brain), this order comes from two sources: from the outside and the inside:

External words: Receive through senses: images, sounds, or tasks (corresponding to a series of decisions),

through the process of analysis (understanding) and we make real choices show some action.

The secret word: Receiving through the inner senses or internal needs, for example: When comparing existing. data we may not understand a particular characteristic, property or concept … and I decided to learn it.

The concept of “learning”: It is to receive one block of data, use existing data to identify (understand). part of the data and analyze the “do not understand” part according to the following characteristics Systematically store data.

With this cycle, we can “define” new features if in our storage category there are no features to describe.

Technical solutions

An artificial intelligence here is to perform a process: “Learn” – “understand” – “make decisions.”

By programming solutions, we can simulate all the above steps according to the following basic diagram:

[Receiving] – [DL separation system] – [DL identification] – [XL center] – [Executing]

Data is received through many channels including three main channels:

  • Image
  • Sound
  • Document

Data separation HT: The task of separating receiving data into separate objects and their characteristics

DL identifier: The task of identifying objects, identifying orders based on archives, storing new data (linked) into the file according to instructions from the central processor. Summarize the report results on IPs or transfer orders on IP.

Central processing system: Receive orders, check and compare the order processing process. Provide requirements for “learning” to specifically dictate. Integrate priority and evaluate the importance of rules.

HT Executing: Receiving orders from IPs to compare the archives to find out the process of executing orders, outputting the results: via images, sounds, languages ?? or laws.

All top systems use the same storage, synchronized based on data characteristics. The first stage of learning will be very time-consuming, but when the data storage has been relatively learning of this machine will be much faster and simpler.

Hardware requirements

The amount of data received after separation is very large, so the identification and processing system must ensure speed.

The particular condition here is a multi-task processing system built on neural networks.

In which each object or each feature will be transferred to each processing unit and using the same storage.

Another advantage of neural networks is the ability to upgrade; we can add more processing units easily.

Conclusion

My purpose is not to create a thinking machine, to find new things (people have not found out yet), know how to make decisions… It is a form of storing human knowledge, communicating with people more efficiently and understanding the requirements, commands, and enforcement

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