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 ...

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

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

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 ...

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

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 ...