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

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 ...

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 ...

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

"Actually, I chose AI at first because I wanted to work in a more dynamic emerging field," recalls Li Jingyao when ...

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 ...

The Cleveland Clinic and startup Piramidal are developing an AI model trained on brain wave data to monitor intensive care patients.

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 ...

A Freyd category consists of two categories C and K with an identity-on-objects functor J: C → K, where: - C has finite products - K is symmetric premonoidal (with a functor ⊗ z ) - J maps finite ...