Key market opportunities in camera image signal processors include optimizing AI-driven processing for diverse conditions, meeting demands in automotive, medical, and smartphone sectors, and ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

Image courtesy by QUE.com Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

A joint team of researchers from Constructor University and Constructor Technology have harnessed the power of machine learning to uncover new findings about human thyroid health. In a new study ...