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 ...

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 ...

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

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.

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 ...

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

Q&A Predicting the Future Using Azure Machine Learning By David Ramel 05/13/2025 The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach ...

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.

Windows machine learning is one of the highlights of this year’s Microsoft annual developer event. The company is also paving the way to multi-agent artificial intelligence in Windows.