As they develop over time, Artificial intelligent computers will be the best Artificial Intelligence Technologies of tomorrow. But this doesn’t mean that intelligence won’t be best used in human endeavors. Indeed, with increasingly complex technologies like self-driving cars and smartphones, we will be able to build a better future with AI systems, using AI technology for all aspects of our future world.
As we move into the future, there will be more Artificial Intelligent Computer Systems, but humans will still have a role to play. And as Ray Kurzweil states, “In the year 2021, every computer chip may contain a one-megapixel digital camera, a digital voice recorder, a touch screen monitor, a web browser, and a storage device that can upload human thought.”
Best AI Technologies
To build Artificial Intelligent computer systems, we need to find the best Artificial Intelligence Technologies. Today’s best Artificial Intelligence Technologies can be loosely categorized into three areas: Evolved Auto biological Software, Numerical Algorithms, and Adaptive Software.
Any Artificial Intelligent system should have three essential elements: Memory, Storage, and Reproduction. We can further refine this to say that the best Artificial Intelligence Technologies should support three different types of intelligence. Our list of the best Artificial Intelligence Technologies is presented below, with brief descriptions of each.
The best artificial intelligence technologies of the future will support at least three different forms of artificial intelligence (auxiliary AI). However, because future artificial intelligence systems will have to work with humans, the artificial intelligence types they support must be knowledgeable.
It is a non-trivial issue, especially when because future artificially intelligent software will likely have human assistants. Therefore, the best Artificial Intelligence Technologies must support three forms of artificial intelligence.
LDPC Database Management
In terms of storage, the best Artificial Intelligence Technologies of the future will likely use memory technologies such as ‘LDPC database management. To understand how memory will be used in artificial intelligence software, consider how a typical computer stores information – it maps information into a binary format. Similarly, the artificially intelligent software will map information from an external source, process it through its internal memory, map the internal memory of the software, and use that information to create and execute software programs. Of course, once the software has run it, it will run independently without needing any human intervention.
Artificial Intellogenetic Software
At the heart of all Artificial Intelligence Technologies of the future will be Artificial Intellogenetic Software. Since an artificially intelligent system will need to accurately predict future information based on past information, it will need to implement some memory technology. It may include implementing what is called a Meta Environment, which will allow for the storage of information to make future predictions more accurate.
Image Sensors
Image Sensors will also be essential in future artificial intelligence systems. Currently, there are image sensors that are small cameras that can be placed around the home, and these cameras can detect items in a room that an individual may not be aware of.
Additionally, some image sensors can be used to “see” through certain types of paint or wallpaper. Such features will be essential aspects of artificial intelligence technologies since they will enable artificial intelligent computers to recognize items in a room without touching them.
Speech Recognition
Another area of development will be in the area of speech recognition. Currently, computers can recognize a voice, but a better system will be required if we are having conversations with the AI software. Such software will need to be capable of recognizing a human’s voice and understanding speech patterns.
Currently, the voice recognition software is only adequate in speech recognition, and it is not yet able to discern between different types of natural languages, such as conversational speech, which limits the applications of the software.
Summing Up
Other areas of research will focus on how best to control or manipulate artificially intelligent computers. The current limitations in technology mean that a computer can only do so much. To increase the power of artificial intelligence, we need to find ways to tweak the software.
Researchers know that one way to do this is to build better algorithms for artificial intelligence programs to use when interacting with the user. One challenge encountered in this area of study is the design of software that is friendly to the user and still able to complete its programmed task effectively. That’s why ONPASSIVE is developing AI tools and products to make the users succeed and stay ahead of competitors.
The organization’s best artificial intelligence technologies will allow the user to manipulate or control the software without dealing with programming languages that are too difficult to understand.
