Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...

When trying out the feature for myself, I asked Gemini to make a simulation of the Moon orbiting the Earth, and it created a ...

A workaround to allow you to create multiple tables in a Direct Lake semantic model linked to the same table in OneLake ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

How AI foundation models trained on DNA could transform plant biology ...

SQM (Structured Query Model) is a Java framework for representing SQL as a typed immutable model and running end-to-end SQL pipelines. It supports parse, validate, transform/rewrite, render, serialize ...

The GPT-5.3 and 5.4 models represent a different approach, hinting at a major change in how major AI firms build their tech.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

Abstract: The Text-to-SQL task is to convert natural language queries into Structured Query Language (SQL) to achieve a natural language interface for database queries. The current research on Text-to ...

Chatoptic announces its most significant AI Visibility product update to date, introducing paragraph-level citation intelligence, cross-model query fan-out visibility, citation aggregation reports, ...