Xiaomi’s YU7 EV rapidly gains momentum, challenging Tesla’s Model Y dominance in China. Tesla sales in China fall year-to-date, highlighting mounting competitive market pressure. September’s ...

Tesla Inc. (NASDAQ:TSLA) continues to see sales pressure for its electric vehicles in the Chinese market. A new report indicates that the introduction of a new vehicle from a growing rival in the ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

As transportation and tech companies became increasingly intertwined over the past 20 years, private sector and open source data has exploded, Jinhua Zhao, professor of cities and transportation at ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter model later this year. Flower AI and Vana, two startups pursuing ...

This entity relationship diagram (ERD) represents the proposed data collection method for the Southwest Sufficiency Project, which aims to standardize children's data collection across the region.

1 School of Economics and Statistics, Guangzhou University, Guangzhou, China. 2 Department of Statistics, George Washington University, Washington, USA. This paper aims to study the GARCH-X model ...

Fresh on the heels of a controversy in which ChatGPT-maker OpenAI accused the Chinese company behind DeepSeek R1 of using its AI model outputs against its terms of ...

Abstract: Utilizing fake data (simulated based on mechanism models or generated through data-driven models) for data enhancement is a popular approach to solve the problem of fault diagnosis with ...

This study investigates the transformative potential of big data analytics in healthcare, focusing on its application for forecasting patient outcomes and enhancing clinical decision-making. The ...