Question

Artificial intelligence applications and where useful

Answer 1

AI gas applications everywhere. Although, currently, it's being used in personal assistants, iOT device management, robotics and automation, in future, it'll have applications in everything. AI has the capability to identify your face, which in future can be used for personalized experience across cars (probably self-driving), shops (for a personalized and improved customer experience). It can potentially learn things about you. When that happens, it's called Machine Learning. Machine-Learning can help simulate how a person learns and more importantly, analyse data from scatter plots better than a human. It has applications in object-detection in images. That's the way Google Photos sorts your pictures by category. It uses artificial intelligence and machine learning algorithms to categorise pictures in your phone's gallery. Speech recognition and Optical Character Recognition (OCR) are some more applications.

Answer 2

Artificial Neural Systems (ANS)

A neural network is an electronic model of the brain consisting of many interconnected simple processors. This imitates how your actual brain works.

Applications of artificial neural systems

   Learning to read postcodes

   Stock market prediction

   Debt risk assessment

Advantages artificial neural systems

These do not need to be programmed to be able to learn.

Disadvantages artificial neural systems

Set up – time and money as this requires plenty of expert advice.

Vision systems

The need to interpret, fully understand and make sense of visual input on the computer, i.e. Artificial Intelligence is used to try and interpret and understand an image - industrial, military use, satellite photo interpretation.

Spy plane takes a photograph and experts would then analyse it to try and figure it out - see if it was an enemy area.

Police using the computer to come up with a photo fit drawing of a criminal.

Doctors using the system to make diagnosis of patient.

Speech recognition

The ability of the computer to understand a human talking to it. There are many problems associated with this – humans have different accents, slang words, noise in the background, feeling poorly (flu, cold etc). This means that the computer has to be trained to recognize the voice of the human. This means that the human has to ensure that by talking to the computer system before, i.e. train it, the system will be able to recognise their words, sentences, etc.

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