Artificial intelligence is a growing field of study, and it's essential to understand the possibilities and limitations of this technology. While there are many who believe that AI will soon replace human workers, there are others who think that AI has yet to even reach its full potential.
AI can help us automate tasks that would otherwise be done by humans, and it can also improve our lives in ways we never imagined possible before. The future of AI looks bright, and we can't wait to see what comes next!
Artificial Intelligence is on the rise. It's predicted to grow by 33% by 2023 and will only continue to expand as more companies discover its potential.
AI can be used to make work easier and more efficient, saving time and money for businesses. It can also help with data analysis, which allows you to understand your customers better and make better decisions about how you run your business. AI is going to be prevalent in the near future.
- Reactive Machines
- Limited Memory
- Theory of Mind
- Self-aware
AI has different levels, and each level of intelligence depicts a different stage in the development of AI. The three stages define the progress of Artificial Intelligence.
- The first stage is Artificial Narrow Intelligence (ANI). This refers to AI that can only perform one task at a time.
- The second stage is Artificial General Intelligence(AGI). This refers to AI that can perform multiple tasks with equal proficiency.
- The third stage is Artificial Super Intelligence(ASI). This refers to AI that has surpassed human intelligence in all areas.
Artificial Narrow Intelligence refers to any machine capable of performing a single task. This includes things like Siri, which is capable only of performing vocal commands and internet searches. It is considered narrow because it doesn't possess intelligence in the same way humans do. ANI systems can't think abstractly, form their own opinions or generalize skills across different tasks.
Artificial General Intelligence refers to any machine able to perform any human-like task, indistinguishable from human performance. Thus far, most of these systems have not yet been created or tested in the wild.
Artificial Super Intelligence refers to any machine that can outperform humans in virtually every single way possible. Again, this is theoretical, as the skill sets required for superintelligence don't necessarily exist on Earth today. For example, take education research. They simply don't have enough information to accurately predict every scenario and solve it right now. And until they do, AI will not be able to fully replace teachers as educators.
I will come up with more interesting topics on Machine Learning in the next blog. Until then have Good Fortune.
