May 4, 2020
Artificial Intelligence’s Evolution in 6 Practical Areas

In the coming decades, AI technology will exponentially increase, both for personal and commercial use, which will have the same effect when we adapt the smartphones and the internet. Artificial Intelligence, also called AI, is the combination of algorithms and methods used to create machines that have the same features as humans, such as general intelligence, logical reasoning, perception, planning, and natural language processing (NLP). The following are six areas of AI application:

Natural Language Processing

This area is where AI played a vital role, such as processing, emulating, recognizing the construction of human language. There are a lot of systems nowadays that are auditory and textual-based patterns that translate word and vocabulary in machine learning. This field has made operations more accessible than ever.

Medicine lab

Machine devices increasingly developed to help doctors understand the patient’s condition deeply by interpreting medical images achieved by scanning devices that would be less accurate; otherwise. Another area covered is the alignment of equipment that focuses on intensive care, following up patients, and understanding their particular biological state below the baselines that initiate alarms when they exceed. Also, AI machines are capable of creating prostheses adapted in a different part of the human body.

Education

Many developers and researchers put their attention on developing AI in the educational field. The concept is to guide the students on learning in a new different perspective. One aspect that has a significant development is training, where experts are producing video games to teach people with many different interests, such as training of aviation pilots and on the preparation of handling various tools in the surgical field using simulation.

Information Management

This AI area has made progress in recent decades by promoting the information processing environment, which is called Big Data. This environment is part of the company’s third data technology platform. Although it has begun its evolution not a few later ago, data processing still stands out today. The development of operating systems and hardware have made it possible to create programs that process big data. Unfortunately, it is not very binding on the institutions despite its potential, perhaps because decision-makers do not yet fully understand it.

Biology

The increase of applications for predicting the behavior and growth of animal and plant species or environmental components are the areas mainly affected by this field. The main goal is to prevent the disappearance or extinction of the species and to identify conditions that could contribute to the state of habitats. One area that stands out is Biological Model Development that makes it possible to monitor the behavior of unique organisms, such as embryo growth and prediction of evolution.

Robotics

cute robot with tablet

Robotics is where programming techniques are most widely used and is now the place where AI has experienced its best development by mixing different of these techniques. Methods include pattern recognition, detection of a particular movement to recognize its situations and environment. This area is supported by innovative institutions, such as NASA, as well as private entrepreneurs who see strong guarantees for the growth of a robotic environment. Robots are the highlights of AI.

Other Areas

Artificial Intelligence applied several years ago to make different activities in life more manageable, including traffic management, promoting architectural design to allow better adaptability, predicting the behaviors of objects, and introducing new environments.

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