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

Cassie Shum, VP of Field Engineering at RelationalAI, joins host Keith Shaw on DEMO to showcase how enterprises can unlock ...

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 ...

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 ...

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

Synthetic data are artificially generated by algorithms to mimic the statistical properties of actual data, without ...

Behavioral data helps us understand what drives users to a search, where they carry it out, and what points of friction might ...

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 ...

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 ...

Explore the importance of robust statistics like median and MAD in data analysis, ensuring accurate insights despite outliers ...

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 ...

Epic announced a new AI tool designed to help clinicians anticipate patient needs and improve decision-making. Here are six things to know about the tool: ...