Abstract: This paper introduces a novel adaptive framework for processing dynamic flow signals over simplicial complexes, extending classical least-mean-squares (LMS) methods to high-order topological ...

Life doesn’t pause for a DSA challenge, and I’m not going to pretend otherwise. I got through fewer problems than planned — but I got through them properly, and I’m stopping here rather than grinding ...

A computational topology engine that maps the Tulsa housing market as a high-dimensional shape and studies how that shape changes under different affordability conditions, rate shocks, and household ...

Sergei Nasibian is a Quantitative Strategist at Rothesay with experience in data science and quantitative research. Sergei Nasibian is a Quantitative Strategist at Rothesay with experience in data ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...

Children as young as 4 years old are capable of finding efficient solutions to complex problems, such as independently inventing sorting algorithms developed by computer scientists. The scientists ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

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