AI/ML Resources

Building AI-Driven Anomaly Detection Model to Secure Industrial Automation

Learn to build an AI model for anomaly detection in industrial automation—a case study using LSTM as a feature extractor and Decision Tree as a classification model.

August 26, 2025

by Tanu Jain

· 2,022 Views · 1 Like

A Comparative Analysis of GitHub Copilot and Copilot Agent: Architectures, Capabilities, and Impact in Software Development

Explore how GitHub Copilot and Copilot Agent enhance software development—from smart code completion to autonomous project-wide refactoring and testing.

August 26, 2025

by Devdas Gupta

· 14,609 Views · 6 Likes

The Benefits of AI Micromanagement

Feeding AI relevant, structured context turns generic advice into targeted, high-impact solutions. See in this article how context quality shapes results.

August 26, 2025

by Stefan Wolpers

CORE

· 1,929 Views · 4 Likes

Transforming Data into Decisions: Crafting Generative AI That Delivers Accurate Intelligence

This article explores how integrating rigorous data practices, and machine learning techniques can elevate the performance of generative AI systems.

August 25, 2025

by SrinivasaRao Thota

· 2,174 Views · 3 Likes

A Beginner’s Guide to Hyperparameter Tuning: From Theory to Practice

Hyperparameter tuning is critical to optimizing machine learning models, significantly enhancing their performance. This article provides an accessible guide to tuning.

August 25, 2025

by Shailendra Prajapati

· 1,410 Views

AI Data Security: Core Concepts, Risks, and Proven Practices

AI boosts threat detection and response, but brings risks like data poisoning, model leaks, and insider threats. Learn how to protect your systems.

August 25, 2025

by Alex Macgasm

· 2,827 Views · 2 Likes

Agent-to-Agent Protocol: Implementation and Architecture With Strands Agents

Strands Agents SDK supports multiple AI providers (Anthropic, OpenAI, Amazon Bedrock, etc.) and integrates with thousands of tools via Model Context Protocol (MCP).

August 25, 2025

by Rakesh Kumar Pal

· 2,538 Views · 2 Likes

Toward Explainable AI (Part 2): Bridging Theory and Practice—The Two Major Categories of Explainable AI Techniques

Explainable AI bridges the gap between complex models and real-world accountability, helping teams build trust, ensure compliance, and make smarter decisions.

August 25, 2025

by Frederic Jacquet

CORE

· 1,196 Views · 4 Likes

From History to the Future of AI Communication—IPC to MCP and A2A

MCP and A2A are stablishing standards while existing middleware markets are promising to provide the rails. The comparison and the outlook.

August 22, 2025

by Shashi Kumar

· 2,342 Views · 1 Like

SHAP-Based Explainable AI (XAI) Integration With .Net Application

Explainable AI (XAI) reveals how ML models make decisions. Learn about SHAP, LIME, model-specific and agnostic methods, and how to deploy SHAP as a REST API.

August 22, 2025

by Indirakumar Rajendiran

· 3,300 Views · 1 Like

Real-Time Model Inference With Apache Kafka and Flink for Predictive AI and GenAI

Learn how data streaming with Kafka and Flink enhances AI/ML model inference, enabling low-latency, scalable predictions in real-time business use cases.

August 22, 2025

by Kai Wähner

CORE

· 1,759 Views · 2 Likes

Toward Explainable AI (Part I): Bridging Theory and Practice—Why AI Needs to Be Explainable

Explainable AI bridges the gap between complex models and real-world accountability, helping teams build trust, ensure compliance, and make smarter decisions.

August 22, 2025

by Frederic Jacquet

CORE

· 2,765 Views · 6 Likes

AI-Powered Root Cause Analysis: Introducing the Incident Investigator

Resolve cloud incidents faster with the AI Incident Investigator — an agent that finds the root cause of production issues and explains them in plain English.

August 21, 2025

by Marija Naumovska

CORE

· 2,903 Views · 3 Likes

How to Build an AI-Powered Chatbot With Retrieval-Augmented Generation (RAG) Using LangGraph

RAG with LangGraph boosts LLM accuracy by retrieving data at runtime. Using OpenAI, FAISS, and modular nodes, it builds fast, factual, domain-aware chatbots.

August 21, 2025

by Mayukh Suri

· 2,753 Views · 1 Like

Operationalizing the OWASP AI Testing Guide: Building Secure AI Foundations Through NHI Governance

Align your AI pipelines with OWASP AI Testing principles using identity-based insights to monitor, enforce, and audit secrets and token usage best practices.

August 20, 2025

by Dwayne McDaniel

· 1,392 Views · 3 Likes

MCP Client-Server Integration With Semantic Kernel

Learn to integrate Semantic Kernel with Azure OpenAI and MCP to discover tools, register them as functions, and enable AI agents to invoke them dynamically.

August 20, 2025

by Anup Rao

· 5,329 Views · 3 Likes