Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

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

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...

A new system for forecasting weather and predicting future climate uses artificial intelligence to achieve results comparable with the best existing models while using much less computer power, ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

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

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 ...

Large language models are machine learning models designed for a range of language-related tasks such as text generation and ...