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 power of their data using relational knowledge graphs directly within ...

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, ...

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 ...

In recent decades, communication technology has advanced at unprecedented speed. A key breakthrough is semantic ...

As AI evolves from prediction to autonomy, enterprise systems must adapt—meeting new demands in data retrieval, caching, freshness and orchestration.

Confidentiality, to a lesser extent, and integrity, to the greatest extent, are the most important considerations with AI ...

Enterprise data platforms increasingly unite analytics, governance and orchestration, with new generative and agentic AI-enabled features to improve autonomy and speed.

The promise and pursuit of artificial intelligence (AI) are undeniable. AI is reshaping how organizations interact with ...

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

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 ...