Want to understand how machine learning impacts search? Learn how Google uses machine learning models and algorithms in search.

River flow: New machine learning methods could improve environmental predictions Algorithm is 'taught' rules of the physical world to help researchers make better predictions Date: June 23, 2021 ...

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

The researchers used the machine learning algorithm to analyse satellite data covering Uganda, Nigeria, Tanzania, Nigeria, Rwanda and Malawi Stanford University/Neal Jean et al.

Deep learning is a subcategory of machine learning algorithms that use multi-layered neural networks to learn complex relationships between inputs and outputs.

The deep learning tool, Audioflow, performed almost as well as a specialist machine used in clinics, and achieves similar results to urology residents in assessing urinary flow. The current study ...

Flow boiling and flow condensation in mini/micro channels is a very effective technique for meeting the high heat dissipating and heat acquisition requirements of thermal management systems. However, ...

TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

But machine learning, an approach to artificial intelligence in which algorithms learn to make predictions based on data sets, could help change that.