Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

AI is a rapidly evolving field that has the potential to impact almost all aspects of life and society. In this article, AI refers to all levels of artificial intelligence, including Narrow AI, ...

Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.

When developing machine learning models to find patterns in data, researchers across fields typically use separate data sets for model training and testing, which allows them to measure how well their ...

Collisions between marine vessels and stationary structures, like offshore oil platforms and depleted wellheads, are becoming ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Vangalapat led the development of a comprehensive MLOps infrastructure at Broadridge, building CI/CD pipelines, automated ...

AI startups are seeing record valuations, but many are building on a foundation of cheap, free-to-download Chinese AI models.