(NYSE: COUR), a leading global online learning platform, today announced the launch of Skill Tracks, a data-backed learning solution mapped to specific occupations that guides learners from ...

Transformer models adapted from natural language processing, such as BERT, identify semantic flaws in code, including ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...

Graphs are a ubiquitous data structure and a universal language for representing objects and complex interactions. They can model a wide range of real-world systems, such as social networks, chemical ...

Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...

Abstract: We consider the problem of learning graphs from smooth signals in an online fashion. A major challenge of this task is that the underlying graph may be time-varying. Existing works typically ...

MTBench introduces cross-domain dataset covering two domains: weather and finance. These datasets are designed to evaluate large language models (LLMs) on temporal reasoning and question-answering ...

Abstract: This paper addresses the problem of online network topology inference for expanding graphs from a stream of spatiotemporal signals. Online algorithms for dynamic graph learning are crucial ...