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10 articles
Learn to build an AI chatbot that handles natural language queries and responds appropriately, similar to Google's AI search behavior when it 'disregards' user intent.
Learn to analyze energy consumption data using Python libraries like pandas, matplotlib, and seaborn. This beginner-friendly tutorial teaches you how to collect, clean, visualize, and interpret energy usage patterns - skills relevant to Google AI's investments in Missouri.
Learn how to use Google's AI-powered search capabilities to retrieve practical gardening tips and advice through a Python implementation that demonstrates real-world application of AI search technology.
Learn how to interact with Google's AI models through their API, similar to what the Pentagon uses for classified applications. This tutorial covers authentication, model deployment, and secure AI interactions.
Learn how to set up and use Google's new Gemma 4 models for on-device AI processing, enabling privacy-preserving agentic AI capabilities on your smartphone.
Learn how to generate videos using Google's new Veo 3.1 Lite model via the Gemini API. This beginner-friendly tutorial walks you through setting up your environment, making API calls, and processing video outputs.
Learn how to enable, configure, and manage Gemini's Personal Intelligence feature that provides hyper-personalized AI responses using your personal data.
Google AI's open-source SpeciesNet model is revolutionizing wildlife conservation by automatically identifying animal species from photographs, making advanced conservation technology accessible to researchers worldwide.
Learn how to create cinematic video overviews of your research using Google's NotebookLM AI tool, transforming your notes into animated summaries.
Learn how to use Google's Nano-Banana 2 AI model to generate high-fidelity 4K images with subject consistency in sub-second processing time.
