Artificial Intelligence (AI) is revolutionizing industries worldwide, from healthcare and finance to manufacturing and media. At the heart of this transformation are powerful algorithms, tackling tasks once thought impossible for machines. Yet, beneath the surface lies a complex web of algorithms and computational principles driving these intelligent systems. In this post, we explore the essential components in the world of AI algorithms and computational complexity
To bridge the gap between the two , there emerged a new concept called ‘The Neuro-Symbolic AI’, to define it precisely , It is a hybrid concept or approach that potentially aims at combining the strengths of Neural Networks and Symbolic Reasoning in order to develop more sophisticated and powerful AI systems capable of making desirable interpretations.