We explore how artificial intelligence is being integrated into network management tools, and the challenges it presents.

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...

Abstract: The analysis of large datasets poses significant challenges for users unfamiliar with structured query languages such as SQL or Cypher. These users, often from fields like social sciences or ...

Learning complex, detailed, and evolving knowledge is a challenge in multiple technical professions. Relevant source knowledge is contained within many large documents and information sources with ...

Large language models (LLMs) show intriguing human-like behaviors despite being trained solely via language prediction. Are these models developing human-like concepts central to human understanding?

At its Cloud Next conference, Google is showing off a new AI engine for AlloyDB that enables developers to embed natural language questions in SQL queries. Google is enhancing AlloyDB, its fully ...

Abstract: Advancements in Natural Language to Structured Query Language (NL2SQL) systems are improving the accessibility of data stored in relational databases, making it easier for non-technical ...

pySQLY is a Python library that enables developers to write database queries using YAML syntax instead of traditional SQL. This approach simplifies database interactions, enhances readability, and ...

Humpback whale song is a striking example of a complex, culturally transmitted behavior, but up to now, there was little evidence it has language-like structure. Human language, which is also ...

1 Faculty of Science, Ontario Tech University, Oshawa, Canada. 2 Faculty of Business and IT, Ontario Tech University, Oshawa, Canada. 3 Legion Development Group, Oshawa, Canada. This study presents a ...