+ 4
Can there be an Artificial intelligence that is implemented without machine learning ?
Simply, can ai be implemented independently ? Or is it something like, if ai is there then there has to be a machine learning algorithms running in background? Any example ? Thanks in advance.
5 odpowiedzi
+ 2
Have you heard of classification of automated car versus self-driving car?
Automated car is moving according to pre-coded routes;
Self-driving car is checking road situation and making decision.
Same for AI, it can keep learning and improve its decision making;
if it doesn't have learning ability, it's just some automated system, not an AI
+ 6
Hi Aaditya Deshpande that image is actually right, AI is a general set , whereas ML is a subset of AI and DL is a subset of ML. NN is one of the several model you can use in DL. Today everybody knows AI as DL or ML but the history of AI is way older and ML is just a part of it. Symbolic system is also AI, it is the rules based approach ... commonly defined by a set of if then statements
+ 5
So it is necessary to have a machine learning when encountering an AI. because intelligence means to learn and develop itself. but according to this image
https://www.aimlmarketplace.com/images/Startup-images-1/difference-between-ai-ml-dl.png
the domain of AI is more than the Machine learning, so i am curious about where AI is present there Machine Learning is absent.
after some searching i found that the AI is actually layered, AI have its layers of learning, so it is mandatory to have Machine learning.
so is that image is wrong or I misinterpreted it ?
ZMindy
Gordon
Yamuels
+ 1
Google for Symbolic System vs Neural Network. Your answer is there.
+ 1
Ask yourself what intelligence really is.
When you have found out that one of the main abilities of intelligence is to gain knowledge and develop itself according to that.
And then compare the function of AI to a simple automated program that does not develop itself.