While building machine learning models is fundamental to today’s narrow applications of AI, there are a variety of different ways to go about realizing the same ends. So-called machine learning ...

Choosing to develop a custom AI model means you’re building a tool that aligns perfectly with the specific challenge you’re facing.

Azure Machine Learning Studio offers multiple ways to use your data to create ML models. Using Azure ML Designer to create a model The Designer is the quickest way to start with custom machine ...

29 July 2025 Could machine learning help to build a unified theory of cognition? Two distinct computational approaches provide opportunities for bringing together different theories of cognition.

Where real data is unethical, unavailable, or doesn’t exist, synthetic data sets can provide the needed quantity and variety.

Machine learning models can be incredibly valuable tools for business leaders. They can aid in interpreting historic data, making decisions for future initiatives, helping to improve the customer ...

A strategy for machine learning has been developed that exploits the fact that data are often collected in different ways with varying levels of accuracy. The approach was used to build a model ...

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg ...

Using SageMaker HyperPod, they conducted 100 large scale model training experiments that allowed them to build a model that achieved state-of-the-art results in English-to-Ukrainian translation.

A Nigerian PhD student has developed a transparent machine learning system to help e-commerce businesses make data-driven decisions. Learn how this innovative model explains its predictions.