Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...

A startup says it has successfully trained an AI model in space using an Nvidia GPU that was launched into Earth's orbit last month. Starcloud flew up the Nvidia H100 enterprise GPU on a test ...

When using the NeuralForecast.fit() method with the large-scale dataloader (by passing a list of Parquet files to the df argument), the GPU memory usage appears to scale inefficiently with the number ...

Solving optimization problems is challenging for existing digital computers and even for future quantum hardware. The practical importance of diverse problems, from healthcare to financial ...

Abstract: The article considers the problem of forecasting the volume of seasonal logistics transportation of fruits and vegetables using time series based on the seasonal autoregressive integrated ...

One of the biggest issues with large language models (LLMs) is working with your own data. They may have been trained on terabytes of text from across the internet, but that only provides them with a ...

We propose a new framework that addresses endogenous regressors using a novel conditional copula endogeneity model to capture the regressor-error dependence ...

ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...

Users on social media have discovered a controversial use case for Google’s new Gemini AI model: removing watermarks from images, including from images published by Getty Images and other well-known ...