Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

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 ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

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

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 ...

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

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 ...