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 ...

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

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 ...

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

Khaled El Emam, medical-AI research chair at the University of Ottawa, led a study to determine the degree to which synthetic ...

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 ...

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 ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...