Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

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.
Digital Production

Here comes Houdini 22

Houdini 22 adds KineFX, APEX rigging, Gaussian Splats, Karma updates, Solaris work, MCP and UI improvements for production ...
Security Boulevard

Hardening AI Data Security: Implementing Quantum-Resistant Cryptography in MCP Environments

Secure your AI agents against future quantum threats. Learn how to implement quantum-resistant cryptography within Model Context Protocol (MCP) environments.

John Roese’s 2026 AI Predictions: AI Governance, Data Readiness, Agentic AI, and AI Factories

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

Large Language Model–Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...
IEEE

Schizophrenia Detection Using Interconnected Graph-Based Features From EEG Signals

Abstract: Schizophrenia (Sz) is a complex mental disorder characterized by disruptions in thought processes, perceptions, and emotional regulation. It is imperative to identify schizophrenia at an ...
IEEE

Manifold Graph Signal Restoration Using Gradient Graph Laplacian Regularizer

Abstract: In the graph signal processing (GSP) literature, graph Laplacian regularizer (GLR) was used for signal restoration to promote piecewise smooth / constant reconstruction with respect to an ...