AI/ML

AI homework assistant, essay feedback tool, quiz & assignment generators, symptom checker, mental health chatbot, fitness coach app, etc, are 19 AI app ideas 2025

This guide implements a complete product recommendation system for a React machine learning app using TensorFlow and mentions performance optimization strategies.

Agentic AI (or AI agents) is a type of AI that can work on its own to complete tasks with little human supervision. It reason, plan, and act autonomously to reach its goals.

Tabnine is ideal for privacy-first needs with local AI, security control, and adaptability over time. Copilot is great for fast, powerful AI suggestions with no setup.

Cursor AI is ideal for developers who want more control over their coding environment and customizable workflows, while GitHub Copilot is better for quick code suggestions and deep GitHub integration.

6 typical cases would benefit from Explainable AI principles: Healthcare, Finance, Legal Systems, Autonomous Systems, Customer Services, and Software Development.

This guide dives deep into the four key principles of Responsible AI, including: fairness, transparency, accountability, and security & privacy protection.

Bias Mitigation, Transparency, Security & Privacy, Control & Accountability, Creating AI Policies, and Societal Impact Considerations are key responsibilities of developers using Generative AI.

AR/VR app development process has 4 steps including 1: Defining app ideas; 2: Choosing development platform; 3: Design and Development; 4: Testing and Deployment.

The 4 steps to help you become a computer vision engineer are educational pathway, developing skills, building your portfolio, and finding job opportunities.

Machine Learning as a Service (MLaaS) is essentially renting access to the tools and infrastructure needed to leverage machine learning (ML) capabilities.

7 machine learning solutions include cutting-edge models, hyper-automation, superior supporting tools, business forecasting and analysis, ML & IoT, XAI, etc.