Improvising the performance of machine learning for applications in the field of computer science leads to create new algorithms. As these are being optimized, using the algorithms of the classical ...

This paper aims to implement an efficient renewable energy selection (either solar or wind) based on the chosen geographic location of Aguascalientes, Mexico through a Machine Learning (ML) method.

Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning ...

In a market increasingly dominated by algorithms and machine learning, understanding AI-driven trading systems isn’t enough.

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

Dr. Rajan Thapaliya, an award-winning professor and entrepreneur in the fields of artificial intelligence and data science, has been named one of the Top 20 Machine Learning Influencers in the United ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.