- The Company Agent is a leap from reactive AI to proactive agency. Most AI tools wait for a prompt. Our Company Agent, however, is designed to autonomously navigate a user’s disparate data ...

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 ...

Join us for an exclusive FREE workshop hosted by the Touro University Graduate School of Technology: “What We Learned Building LLM‑Powered Text‑to‑SQL". This session explores why text‑to‑SQL remains a ...

Abstract: Querying data managed by database systems has been one of the most challenging tasks for database users. To bridge this gap, numerous interfaces have been developed with very different ...

Discord servers can be pretty crowded, and it’s easy for your messages to not get attention. Hence, many Discord users use text formatting options to make their messages stand out from the crowd. If ...

If old sci-fi shows are anything to go by, we're all using our computers wrong. We're still typing with our fingers, like cave people, instead of talking out loud the way the future was supposed to be ...

In the arena of digital accessibility tools, the embedded screen reader—also known as a text-to-speech (TTS) tool—is among the most commonly used features in secondary education. While this feature ...

Employers are shelling out millions on artificial intelligence (AI) tools to boost productivity, but workers are still getting stuck using a tiny fraction of the tech’s potential, according to a ...

Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

A team of AI researchers at Bloomberg have developed PExA, an agentic framework that achieved 70.2% execution accuracy, sharing one of the top positions on the Spider 2.0 (Snow) leaderboard, one of ...

Abstract: This work investigates the application of Text-to-SQL techniques to improve access to industrial maintenance data using Large Language Models (LLMs) in Portuguese. We design and implement a ...