LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

AWS launched Lambda MicroVMs, a new serverless compute primitive that runs each user session or AI agent in its own ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Roese's predictions: stronger AI governance, better data management, agentic AI infrastructure, resilient AI factories, and sovereign AI strategies.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Heroku co-founder and Ink & ...

Abstract: An important application of graph partitioning is data clustering using a graph model - the pairwise similarities between all data objects form a weighted graph adjacency matrix that ...

Retrieval-augmented generation (RAG) has emerged as a pivotal framework in AI, significantly enhancing the accuracy and relevance of responses generated by large language models (LLMs) leveraging ...

A Linux variant of the GoGra backdoor uses legitimate Microsoft infrastructure, relying on an Outlook inbox for stealthy payload delivery. The malware is developed by Harvester, an espionage group ...

Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...