Machine Learning

How can we bridge the gap between artificial neural networks and the intricate complexities of human cognition, and what insights can we gain about the nature of human intelligence through the study and development of these machine learning models? Neural networks were inspired by the functionalities of the human brain.

Machine learning is changing the way we see the world. Streaming platforms are analyzing our preferences to provide personalized recommendations. Voice recognition like Siri, Google Assistant, and Alexa are improving their natural language processing allowing a more accurate, context-aware voice interactions. Real-time translations are providing a more accurate and contextually

Optimization is a continuous process in AI, and researchers and practitioners often explore new methods and techniques to enhance the efficiency and effectiveness of AI systems. It involves a balance between achieving better performance and considering computational constraints. Local Search A local search algorithm is an optimization algorithm that iteratively

Can we be certain about anything, really? Hopefully for us humans out there in the world we can draw conclusions based on previous knowledge or topic. However, when introducing AI, often times we can only provide partial knowledge of the world which in turn leaves opportunity for uncertainty within the

It seems a new smart phone hits the market every other week these days! Faster computers with faster GPUs. Better graphics for next-gen gaming consoles. How did these machines get so intelligent? Well to put it frankly, computers without these fancy computations are actually pretty dumb. The systems embedded within

At the core we are simply solving problems. The problem might be simple but being simplistic does not equate to easy. Artificial Intelligence and machine learning use several techniques to help us understand better ways to solve these problems.  The first one being SEARCH… When work is over and we