New research from Cyata reveals that flaws in the servers connecting LLMs to local data via Anthropic’s MCP can be exploited to achieve remote code execution and unauthorized file access. All three ...

SQL Server 2025 reaches enterprise readiness with GA support on RHEL 10 and Ubuntu 24.04. Cumulative Update 1 improves SQL Server 2025 reliability, performance and security based on early feedback.

In a nutshell: Apple is preparing to shift more of its AI operations in-house, with plans to begin mass production of its first AI server chips in the second half of 2026. The company's silicon ...

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Abstract: Computing Power Networks (CPNs) have become an essential network architecture for supporting emerging applications, where an efficient server deployment scheme is critical to meeting growing ...

Update, Jan 13th, 2026: Multiple Target employees have now confirmed in our follow-up report the authenticity of leaked source code sample set and shared internal announcements regarding an access ...

LEAP 71 is moving quickly to prove that complex hardware can be generated, built, and iterated by software. The Dubai-based computational engineering company is scaling its algorithmically designed ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. For growth-minded companies, mergers and acquisitions are a fast, effective way to gain ...

Oct 7 (Reuters) - Dell (DELL.N), opens new tab on Tuesday nearly doubled its annual profit growth target for the next four years, betting on robust demand for its servers that power artificial ...

For Mariners first baseman Josh Naylor, it's all about preparation and execution. A student of the game, the 28-year-old veteran has made a career out of calmly approaching any situation that comes ...

Microsoft updated its free MSSQL extension for Visual Studio Code with new Fabric connectivity and provisioning features in public preview, alongside GitHub Copilot slash commands and multiple ...

Abstract: This paper introduces G-SQL, a schema-aware and rule-guided framework for translating Natural Language Queries (NLQ) into SQL, designed to support users with limited technical expertise.