AI
As time goes by, it becomes one of the most important pieces of tech. Even business sectors are using AI to improve their productivity and effectiveness. With their learning ability, they can do human jobs such as writing, coding, and other simple and repetitive tasks. Also, they can help you to solve complex issues.
Nowadays, companies are starting to use this tool to personalise social media feeds and power medical breakthroughs. However, you don't have to worry because it's going to take up a human's job overall. In particular, tasks that require a 'human touch' in it. This technology is still in its early stage of development, with much room to improve.
What is an AI?
Artificial intelligence is a tool that allows computers to learn and solve problems the way humans do. Machines cannot think, empathise, or reason by themselves. They work by doing specific tasks based on following the guides and rules that humans have created. If you don't know how to do it, then the system cannot provide the result.
Then, scientists developed systems similar to human intelligence called AI. It can replicate how a person acquires and uses knowledge. This programme can process large amounts of data, identify patterns, and follow detailed instructions about what to do with that information. These new ideas have changed how computers work.
In addition, AI can understand the preferences of an online shopper based on their previous purchases. From the data it gathered, the computer will analyse as a human does, then recommend the items that might interest the shopper. Also, streaming services use this programme to suggest music or films to users.
The four types of artificial intelligence
Not all of the systems are the same. AI has four different types based on the functionality. They are separated into categories, such as reactive, limited memory, theory of mind, and self-aware. Some of them are stronger than others. Even a few of them are still scientifically impossible right now.
With that in mind, you can understand the progress of the development of AI technology and its potential. For more information about the four types of this tool, here is a general explanation of each of them:
1. Reactive
This is the most basic type of AI, where people programmed it to provide a predictable output based on the data it has. It always gives the same response to identical situations every time. Also, it can't learn actions or conceive of the past or future.
Reactive AI was a step forward in the history of artificial intelligence. However, the only thing it can do is do the task that they were initially designed for. In everyday life, the most common use of this is for spam filters for your email. It separates promotions and phishing attempts from your inboxes.
2. Limited memory
In this technology, AI can learn from actions and data to build experiential knowledge. Usually, it uses historical, observational information and pre-programmed data to create predictions and perform complex tasks. This is the tool that people currently use in their everyday lives. For instance, people are using this for chatbots and self-driving cars.
As the name suggests, it has limited function. This type of AI can only acquire the data to solve the current situation. They don't have the ability to memorise what they have learnt for the long term.
3. Theory of mind
This type of AI is not here yet. When it is here, it is going to look and sound familiar to a real human being. This means that the machine will have true decision-making capabilities similar to that of a person. It can understand and remember emotions and adjust its behaviour based on that information. Yet, this is still a theory because it is difficult to recreate human emotion on the machine.
4. Self-aware
Other than the theory of mind, self-aware is still just a theory where AI can be aware of its emotions and its surroundings. Their level of consciousness and intelligence is going to be similar to that of human beings. The machine will have desires, needs, and feelings as well. Until now, people haven't had the sources or algorithms to support this idea yet.
