Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated distributed agent platform. They explain the transition to a ...

Aries and Aries? Yes. Aries and Libra? Not so much. Maressa Brown is a journalist and astrologer who's a regular lifestyle contributor and resident astrologer for InStyle. She has nearly two decades ...

Abstract: This paper utilizes system observability to guide monocular SLAM. Instead of providing all measured features then performing data-driven outlier rejection (such as with RANSAC), we propose ...

This repo contains the source code for the SIGMOD 2021 paper, UAE. UAE's high-level idea is learning a single model from both data and queires. The key detailed technical contribution of UAE is ...

DeepDB is a data-driven learned database component achieving state-of-the-art-performance in cardinality estimation and approximate query processing (AQP). This is the implementation described in ...

Abstract: Service recommendation provides an effective solution to extract valuable information from the huge and ever-increasing volume of big data generated by the large cardinality of user devices.

The entries in the previous table summarize the fact that Boolean satisfiability is a weak method that admits efficient implementations. The representation is relatively inefficient, and none of our ...

On my last day of winter break, the house is empty for the entire afternoon — with my parents at work, my older siblings ...