However, it is important to manually verify the accuracy of specialized terms after three rounds of translation, as I have ...

A new study finds that many popular image datasets used to train AI models are contaminated with test images or ...

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

Furthermore, a connected data model all enables you to understand what fees your partners and vendors charge so you can see whether they are in compliance with contracts. Building a foundational media ...

Cassie Shum, VP of Field Engineering at RelationalAI, joins host Keith Shaw on DEMO to showcase how enterprises can unlock the power of their data using relational knowledge graphs directly within ...

Data modeling, metadata management, and database design news, analysis, trends, and research from Database Trends and Applications magazine.

In this article, authors discuss Model Context Protocol (MCP), an open standard designed to connect AI agents with tools and data they need. They also talk about how MCP empowers agent development, ...

AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is ...

The value of this ranking lies in its ability to encourage us to examine and evaluate PLM systems from a new, more strategic perspective. In the past, we may have focused more on traditional areas of ...

Its Exensio analytics platform integrates manufacturing, test and operational data through a scalable architecture and semiconductor-specific semantic data model designed for advanced analytics. It ...

Attempts to censor AI image generators by erasing banned content (such as porn, violence, or copyrighted styles) from the trained models are falling short: a new study finds that current concept ...