Microsoft Confirms SQL Zero-Day Security Vulnerability—Here’s The Fix

Microsoft has confirmed that a hacker who successfully exploits a zero-day SQL vulnerability could gain system administrator privileges. Here’s how to fix it.

Scientel achieves 6 Trillion Parameter LLM run on Ohio State OSC Supercomputer

Trillion Parameter run achieved with DeepSeek R1 671B model on 36 Nvidia H100 GPUs We are pleased to offer a Trillion ...
GitHub

sql-machine-learning-visual-studio-code.md

Learn how to run Python and R scripts in a notebook in Visual Studio Code with SQL Server Machine Learning Services. Learn how to run Python and R scripts in Visual Studio Code notebooks with SQL ...
GitHub

Efficiently Detecting DBMS Bugs through Bottom-up Syntax-based SQL Generation

More details can be found in our NDSS 2026 paper. Efficiently Detecting DBMS Bugs through Bottom-up Syntax-based SQL Generation @inproceedings{liang:sqlbull, title = {{Efficiently Detecting DBMS Bugs ...
Microsoft

Enhancing reporting and analytics with SQL Server 2025 tools and services

At Microsoft Build 2025, we announced the public preview of SQL Server 2025. Built on a foundation of best-in-class security, performance, and availability, SQL Server 2025 empowers customers to ...
SiliconANGLE

Snowflake expands AI tools to streamline enterprise data workflows and speed machine learning

Snowflake Inc. is leading off its Snowflake Summit 2025 user conference in San Francisco today by unveiling a series of new artificial intelligence capabilities intended to simplify the ways users ...
marktechpost

SQL-R1: A Reinforcement Learning-based NL2SQL Model that Outperforms Larger Systems in Complex Queries with Transparent and Accurate SQL Generation

Natural language interface to databases is a growing focus within artificial intelligence, particularly because it allows users to interact with structured databases using plain human language. This ...
IEEE

MGRR-SQL: Multi-Granularity Relevant Retrieval-Based in-Context Learning Approach for Text-to-SQL Generation

Abstract: In-Context learning serves as a vital component for enhancing Text-to-SQL task performance. However, current in-context learning methodologies for Text-to-SQL applications fail to ...