One of the most exciting developments is how AI is lowering barriers for retail participation in algorithmic trading. Tools ...

Gone are the days when financial planning meant simply reacting to last quarter''s numbers. Today''s finance leaders are expected to anticipate, adapt, and act in real time. The move from reactive ...

Research is also rapidly advancing to expand the use of AI for forecasts weeks to months ahead, which helps farmers in making ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

Abstract: The ability to properly anticipate potential risk is essential when making investment decisions since financial markets are typically hard to predict. This work presents a new method for ...

As the Horizon Europe project veraAI against disinformation is coming to an end, a number of AI-based fact-checking tools developed within the project (with active participation from several EBU ...

Ben Khalesi covers the intersection of artificial intelligence and everyday tech at Android Police. With a background in AI and data science, he enjoys making technical topics approachable for those ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Abstract: The advancement of large models has initiated a transformation in the field of time-series forecasting. Both the repurposing of existing large models and the development of large models ...

This repository is the code implementation of the paper Fine-grained Hierarchical Crop Type Classification from Integrated Hyperspectral EnMAP Data and Multispectral Sentinel-2 Time Series: A ...

Toto is a foundation model for multivariate time series forecasting with a focus on observability metrics. This model leverages innovative architectural designs to efficiently handle the ...