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.
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.
InfoQ

Why Vector Search Alone Isn't Enough: Hybrid Retrieval for RAG

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 & ...
Scientific Research Publishing

An In-Depth Analysis of Graph Neural Networks and Machine Learning Approaches for Drug Repositioning ()

1 Department of Computer Science and Engineering, Kishoreganj University, Kishoreganj, Bangladesh. 2 Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh. 3 ...
PNAS

An integrated AI knowledge graph framework of bacterial enzymology and metabolism

Bacteria dominate the ecosphere through their varied metabolic pathways. Genomic data now serve as a common start point for studying bacterial metabolism, yet current capacity to predict and compare ...
Scientific Research Publishing

Multi-Head Attention Spatial-Temporal Graph Neural Networks for Traffic Forecasting ()

Accurate traffic prediction is crucial for an intelligent traffic system (ITS). However, the excessive non-linearity and complexity of the spatial-temporal correlation in traffic flow severely limit ...