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 ...

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.

In recent years, the impact and usage of Machine Learning have increased multi-fold. To get the best outcome, it is imperative to choose the right algorithm. Hence, Algorithm Selection is one of the ...

More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 ...