Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

There’s a well-worn pattern in the development of AI chatbots. Researchers discover a vulnerability and exploit it to do ...

Abstract: Traffic prediction is a crucial component of data management systems, leveraging historical data to learn spatio-temporal dynamics for forecasting future traffic and enabling efficient ...

1 School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China 2 Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China Background: Although ...

Coinbase is reportedly set to launch its own prediction markets with Kalshi, alongside potential tokenized stock offerings. Coinbase is reportedly preparing to launch its own prediction markets, ...

This repository provides accurate tensor core models written in MATLAB. It also includes parts of the model validation data which is used to refine the models as shown in [1]. The initial analysis of ...

The update brings real-time forecasting data from Kalshi and Polymarket to Google Finance, as more major platforms move into the growing prediction markets space. Google is incorporating prediction ...

Once a promising but mostly supportive tool, artificial intelligence now stands at the center of how businesses manage and interpret customer data. Its capabilities are reshaping industries, enabling ...

Thanks to A.I., companies like WindBorne hope to usher in a golden age of forecasting. But they rely in part on government data — and the agency that provides it is in turmoil. A WindBorne weather ...

Vegetation management (VM) is crucial for electric utilities to maintain public and personnel safety and ensure grid reliability. Typically, vegetation-related outages are the leading cause of outages ...