What are the seven stages of Artificial Intelligence (AI)

Artificial intelligence is a branch of computer science that enables computers to mimic natural intelligence. There are seven stages of AI, as follows:

1. Knowledge-Based AI - This stage involves the development of expert systems that use knowledge about specific subject areas to solve problems and make decisions.

2. Context-awareness and retention stage -The context awareness and retention stage of artificial intelligence is often referred to as pattern recognition. This is where computers start to learn patterns in data, their use of logic, and knowledge from previous processes. They also “remember” situations where these patterns have been seen before so that they can make decisions more easily.

3. Domain-Specific Expertise – Artificial intelligence has evolved to a point where it can learn, reason, and make decisions based on the data it has access to. In some cases, these machines have even challenged human experts in their own fields.

4. Reasoning Machines- It’s an algorithm that has a sense of beliefs, intentions, knowledge, and how its own logic works. This can allow them to reason with humans and other machines.

5. Self-Aware Systems / Artificial General Intelligence (AGI)- At Such a stage where systems will be capable of reasoning and learning on their own, without human supervision or guidance.

6. Artificial Superintelligence (ASI)- Artificial Superintelligence is the notion of developing artificial agents with capabilities to outperform the smartest of humans in all domains.

7. Singularity and Transcendence- The singularity is the idea that in the near future, there will be a massive expansion in human capability—possibly enabled by artificial superintelligence (ASI). By merging with AI, we may become collectively smarter than all the people who have ever lived. We could even upload our minds and live forever in virtual reality—and merge with the entirety of our environment.