Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to ...

FireANTS combines AI and geometry to match features in dense images faster and more accurately, with potential applications in fields like radiology. Penn Engineers have developed an open-source ...

In this article, author Aaditya Chauhan discusses the limitations of RAG pipelines based purely on vector search and how an ...

Abstract: Ontology applies commonly to solve the problem of heterogeneity of data in the Semantic Web, but the heterogeneity problem between two ontologies seriously affects their communication. As an ...

Abstract: This talk is based on a joint work with Soheil Behnezhad, Alma Ghafari, and Ronitt Rubinfeld, to appear in STOC'25, https://arxiv.org/abs/2411.08805. We ...

Prior work has contributed a large number of moment matching algorithms. While all of these algorithms excel with respect to some of the four measures mentioned earlier (number of moments matched; ...

If this is what AI is doing in its pre-school years, its teen years should be a scream. Google executives are trying to appear forthcoming and responsive about troubling responses from its Gemini ...

Dynamic stochastic matching problems arise in a variety of recent applications, ranging from ridesharing and online video games to kidney exchange. Such problems are naturally formulated as Markov ...

Earlier this year, a report shone a light on football and match-fixing. It went slightly under the radar. But it’s a genuinely big problem in world football — and the statistics in the report prove it ...