Abstract: Drug–drug interaction (DDI) prediction is essential for drug development and clinical safety. Early studies mainly relied on large labeled datasets and focused on structural or sequential ...

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 ...

In mathematics, proofs can be written down and shared. In cryptography, when people are trying to avoid revealing their secrets, proofs are not always so simple—but a new result significantly closes ...

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 ...

Bioprocess developers have long known that the cell culture suite is where therapeutic proteins earn—or lose—their quality. Subtle shifts in raw materials, cell line genetics, or control ranges can ...

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 ...

Not in the sense that truth has vanished or that learning no longer matters, but in the deeper, structural sense that knowledge as a stable possession—think dusty books and road maps—has lost its ...

Abstract: Knowledge Graph Completion (KGC) aims to infer missing triples for a given knowledge graph, which can be adopted to various fields ranging from scientific research to real-world applications ...

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 ...