Brianna White

Mar 25, 2020
Research in Artificial Intelligence has seen dramatic growth over the last few years, and the trajectory is only aiming higher for this industry. Interest has grown in data-driven AI and machine learning development, all due to better computer technology. With applications in almost every industry, the use of different types of AI computer algorithms is only on the rise. Research shows that in 2020 the AI market was at $51.08 billion and is estimated to go up to $641.30 billion at a CAGR of 36.1% by 2028.
AI is already implemented in applications used daily by people, be it health, law, transport, finance, or any other. Even virtual voice assistants like Siri and Alexa are a product of AI. Deemed one of humans’ most complex yet creative inventions, AI can be understood better when broken down into various categories. 
Different types of AI can be classified in two ways based on functionality and technology. Varieties of AI that differ based on technology include Artificial General Intelligence, Artificial Narrow Intelligence, and Artificial Superintelligence. On the other hand, kinds of AI based on functionality are reactive machines, theory of mind, limited memory machines, and self-aware.
1. Reactive Machines
Reactive Machines are some of the oldest types of Artificial intelligence systems and can copy how the human mind reacts to varied stimuli. They have a low capability as they don’t come with memory-based functionality, meaning they can’t use formerly acquired experiences to take necessary actions in the present. They can only create outcomes for a limited set of inputs since they don’t ‘learn’ and cannot use memory to enhance their processes. 
2. Limited Memory
These machines don’t just perform the required tasks but also learn from previous incidents to make determinations in the present. They are made up of supervised AI systems that gain knowledge from experimental data and real-life events. Limited Memory AI Systems use a lot of training data stored in the memory, which helps them analyze and create a reference model for solving problems in the future. Different types of AI applications today use Limited Memory AI, such as autonomous vehicles, virtual assistants, and chatbots.
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