Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
A specially trained algorithm could aid the search for biological activity both on the early Earth and on other worlds.
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...
Recent advances in artificial intelligence (AI) and machine learning (ML) have transformed our ability to decode complex ...
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...
Acclaimed as a mathematical genius, Ada Lovelace is said to have understood the potential of the first computer blueprints better than their inventor. A serendipitous friendship with the mathematician ...