AI/ML Resources

How to Understand Emergent Behavior in Agentic AI: Chaos or Intelligence?

Learn about emergent behavior in agentic AI — how LLM-driven agents plan, adapt, and evolve — and the debate over intelligence vs. statistical patterns.

August 28, 2025

by Balajee Asish Brahmandam

· 3,035 Views · 1 Like

Cry and Authenticate How AI is Changing Security

Passwords are broken. AI may soon verify you by emotions, traits, and typing rhythm—offering secure, personal logins but raising big privacy concerns.

August 28, 2025

by Alexander Simonov

· 3,179 Views · 4 Likes

How Healthy Is Your Data in the Age of AI? An In-Depth Checklist to Assess Data Accuracy, Governance, and AI Readiness

This guide provides a complete checklist to assess, monitor, and improve data quality for AI success, ensuring accuracy, compliance, and long-term reliability.

August 28, 2025

by Sukanya Konatam

· 2,915 Views · 2 Likes

Blockchain, AI, and Edge Computing: Redefining Modern App Development

Blockchain, AI, and edge computing are enhancing modern app development by enhancing security, performance, and automation.

August 27, 2025

by Balasubramani Murugesan

· 3,179 Views · 1 Like

Digital Twins Reborn: How AI Is Finally Fulfilling the Promise of IoT

AI is revolutionizing digital twin technology, finally overcoming IoT's integration challenges and delivering real business value across industries.

August 27, 2025

by Tom Smith

CORE

· 2,659 Views · 11 Likes

How To Build an AI-Powered Search Bar With Vector Embeddings and OpenAI

Use OpenAI embeddings with FAISS to power a search that understands meaning, so queries match relevant content even without exact keywords.

August 27, 2025

by Mohit Menghnani

CORE

· 3,198 Views · 1 Like

Data Splits in Machine Learning: Training, Validation, and Test Sets

Proper data splitting in machine learning prevents leakage, reduces overfitting, and ensures reliable model performance for real-world deployment.

August 27, 2025

by Kacper Michalik

· 5,498 Views · 1 Like

Toward Explainable AI (Part 3): Bridging Theory and Practice—When Explaining AI Is No Longer a Choice

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

August 27, 2025

by Frederic Jacquet

CORE

· 2,168 Views · 8 Likes

From Simple Lookups to Agentic Reasoning: The Rise of Smart RAG Systems

RAG has grown from basic retrieval to agent-like AI, gaining memory, smarter routing, HyDe, adaptive search, and fact checks to deliver better, grounded answers.

August 26, 2025

by Naresh Dulam

· 5,236 Views · 4 Likes

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

· 2,267 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

· 15,166 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

· 2,149 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

· 2,373 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

· 1,594 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

· 3,114 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

· 2,821 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

· 1,371 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

· 2,555 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

· 3,589 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

· 1,919 Views · 2 Likes

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