Once illegal in the United States, prediction markets are resurging, allowing the public to bet on geopolitical outcomes. But liquidity constraints limit their reliability, and prediction markets ...

Satellite image sequence prediction is a fundamental yet challenging task in weather forecasting. Existing approaches often combine neural network models (e.g., RNN, CNN, Transformer, and GAN) to ...

Learn how to create a risk assessment matrix in Excel with this step-by-step guide. Automate, visualize, and simplify risk management with a ...

This situation makes the RUL prediction methods difficult to obtain satisfactory domain alignment and generalization performance. To address this challenge, a new self-supervised dual-path meta ...

Google has introduced LangExtract, an open-source Python library designed to help developers extract structured information from unstructured text using large language models such as the Gemini ...

Learn how AI-powered tools are transforming customer insights, boosting retention and demanding better data ethics.

Attackers used 11 Go and 2 npm packages to spread malware across platforms, putting open-source developers at risk.

That could be even more possible as his research group looks to further bolster prediction models with additional input, such as drone-collected in-field data. “We’ll keep thinking about how to make ...