Machine Learning vs Deep Learning: Here's What You Must Know
Artificial Intelligence (AI) and Machine Learning (ML) are two buzz words thrown around in everyday conversations today. More ...
Artificial Intelligence and Propositional Logic
In propositional logic, as the name suggests, propositions are connected by logical operators. A proposition is a statement or assertion. This article provides a definition of the set of all propositional logic formulas. More ...
Knowledge Based Artificial Intelligence Systems
For complex Artificial Intelligence applications which rely on a large amount of information, programming the agent can be very costly and unclear how to proceed. Here AI provides a clear path to follow that will greatly simplify the work. More ...
An Introduction to Audio Pocessing and Machine Learning Using Python
The pyAudioProcessing library is a Python based library for processing audio data into features (GFCC, MFCC, spectral, chroma) and building Machine Learning models. More ...
Introduction to Neural Networks
A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain. More ...
Artificial Intelligence Agents
In AI, agent denotes rather generally a system that processes information and produces an output from an input. These agents may be classified in many different ways. More ...
Limitations of Logic - The Search Space Problem
In the search for an artificial intelligence proof there are almost always many possibilities for the application of inference rules at every step. The result is the aforementioned explosive growth of the search space. More ...
Artificial Intelligence - Decidability and Incompleteness
There are limitations to the capabilities of artificial intelligence. If we compare automated provers or inference systems with mathematicians or human experts, we find that mathematicians can prove theorems which are far out of reach for automated provers. More ...
