Abstract: Knowledge graphs (KGs) play a key role in promoting various multimedia and AI applications. However, with the explosive growth of multi-modal information, traditional knowledge graph ...

Sign of the times: An AI agent autonomously wrote and published a personalized attack article against an open-source software maintainer after he rejected its code contribution. It might be the first ...

Context graphs is the new buzzword for agentic Systems of Knowledge, uncovering the key role of the tribal knowledge hidden in decision threads that inform enterprise activity. More than a year ago, ...

To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated. MIT Technology Review Explains: Let our writers untangle the complex, messy ...

Test your knowledge of credit cards, buying a home, saving for college or retirement and other things that affect your wallet. By Connie Chang and Juli Fraga Illustrations by Jay Daniel Wright Making ...

Abstract: Knowledge graph embeddings (KGE) are effective for representing factual data for numerous applications. However, real-world facts continually evolve, necessitating ongoing updates to ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already known about genes, diseases, treatments, molecular pathways and symptoms in ...

Quite recently, my new book, Knowledge Doesn’t Exist and Other Thoughts on Critical Thinking, was released by Cambridge University Press. The focus of the book was largely inspired by a conversation I ...

What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...

AI code generation for accelerating software development is gaining significant attention these days. However, this could lead to a growing bottleneck in managing all aspects that occur after ...