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ExternalBackend Development
.NET Blog

CoreCLR Progress and the Mono Timeline for .NET MAUI

CoreCLR is now the only runtime for .NET MAUI mobile apps in .NET 11 Preview 6. Here is where we are, and why we need you to test today. The post CoreCLR Progress and the Mono Timeline for .NET MAUI appeared first on .NET Blog.

.NET.NET for Android.NET for iOS
.NET BlogRead original
ExternalAI
NVIDIA Technical Blog

Lessons From the Leaderboard: What 5,000+ Kagglers Taught Us About Improving AI Reasoning

The NVIDIA Nemotron Model Reasoning Challenge invited the Kaggle community to explore a focused question: What techniques can improve reasoning accuracy when... The NVIDIA Nemotron Model Reasoning Challenge invited the Kaggle community to explore a focused question: What techniques can improve reasoning accuracy when everyone starts from the same open model, benchmark, infrastructure and evaluation constraints? The response was massive. By the close of the competition, more than 5,000 active par

NVIDIA Technical BlogRead original
ExternalCybersecurity
SecurityWeek

Synopsys Finds No Evidence of Data Breach Amid Bosch Hack Claims

The D1R cybercrime group claimed to have stolen valuable data from Synopsys and Bosch, threatening to leak it unless a ransom is paid.  The post Synopsys Finds No Evidence of Data Breach Amid Bosch Hack Claims appeared first on SecurityWeek.

CybercrimeData BreachesBosch
SecurityWeekRead original
External
The Hacker News

SAP Patches CVSS 9.9 NetWeaver ABAP Flaw That Could Expose or Modify Data

SAP has rolled out updates to address multiple vulnerabilities as part of its July 2026 security updates, including a critical flaw in SAP NetWeaver Application Server ABAP. The vulnerability in question is CVE-2026-44747 (CVSS score: 9.9), an out-of-bounds write flaw that allows an authenticated attacker to leverage logical errors in memory management to cause a memory corruption that could

The Hacker NewsRead original
ExternalSoftware Engineering
DZone

GraphRAG in Practice Using Spring AI, Neo4j, and Goodreads Data

Large language models (LLMs) are impressive — until they are not. If you ask one about your internal data, your product catalog, or your users' reviews, it will either hallucinate an answer or admit it does not know. The solution most teams reach for is retrieval-augmented generation (RAG). This retrieves relevant data first, injects it into the prompt as context, and lets the model answer from that context rather than from memory.  GraphRAG takes this a step further. Instead of retrieving only

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