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 ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

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

Artificial intelligence (AI) could be used to identify drug resistant infections, significantly reducing the time taken for a correct diagnosis, Cambridge researchers have shown. The team showed that ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

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.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...