IEEE

AI-optimized data Lakes for Real-Time Big Data Management and Autonomous Query Optimization

Abstract: Due to the massive explosion of big data, efficient data lakes with ‘real-time’ data management and ‘autonomous’ query optimization have become inevitable. One of the problems attached to ...
IEEE

Neuro-Symbolic AI-Driven Data Warehouses: Self-Learning Architectures for Dynamic Schema Evolution and Adaptive Query Optimization

Abstract: A developing solution that combines the vision of having an AI-empowered data warehouse that can learn to develop new schema and to self-optimize queries for a dynamic data ecosystem, is in ...
marktechpost

Google Introduces Speech-to-Retrieval (S2R) Approach that Maps a Spoken Query Directly to an Embedding and Retrieves Information without First Converting Speech to Text

In the traditional cascade modeling approach, automatic speech recognition (ASR) first produces a single text string, which is then passed to retrieval. Small transcription errors can change query ...
GitHub

Proposal: Schema-aware query building

There are certain things that knex cannot do without knowing what to expect of the database schema it is interacting with. The most obvious example comes from sqlite, which doesn't have DATETIME ...