In this tutorial, we build a production-ready agentic workflow that prioritizes reliability over best-effort generation by enforcing strict, typed outputs at every step. We use PydanticAI to define ...

Google on Sunday announced a new open standard called the Universal Commerce Protocol (UCP) for AI agent-based shopping, at the National Retail Federation (NRF) conference. The standard, developed ...

Learn how to implement an uninformed search algorithm using Breadth-First Search (BFS) in Java! This tutorial walks you through the concepts, code, and practical examples for AI problem solving.

Matthew Klein, an analyst at the nonpartisan Cook Political Report, breaks down the proposed Texas and California redistricting maps for the 2026 midterm elections and what it means for the balance of ...

A Threaded Binary Tree improves binary tree traversal efficiency by replacing null pointers with in-order predecessor or successor links. This reduces stack usage and recursion overhead. Introduce a ...

We included 77 studies: 47 studies reported factors from clinicians' perspective, 33 studies reported patients' perspective, 23 studies reported implementation strategies, and seven studies evaluated ...

In this tutorial, we build an advanced AI agent using Semantic Kernel combined with Google’s Gemini free model, and we run it seamlessly on Google Colab. We start by wiring Semantic Kernel plugins as ...

ABSTRACT: A 3-cycle action research on modular instruction employing the Community of Inquiry framework overarching the Plan-Do-Study-Act (PDSA) model, revealed the need for assessments in addition to ...

Section 1. Purpose. Artificial intelligence (AI) is a foundational technology that will define the future of economic growth, national security, and global competitiveness for decades to come. The ...