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22 articles
Google is updating its Home app to make its Gemini AI assistant more intuitive and reliable for controlling smart home devices. The new features allow users to describe lighting and other preferences in more natural language, such as 'the color of the ocean.'
Learn how Falcon Perception is a new AI system that combines image and language processing to better understand natural language prompts and find specific objects in images.
Google's Vids app now allows users to control avatars through simple text prompts, making AI video creation more accessible. The feature enhances customization options and streamlines the content creation process.
Learn how to work with Apple's AI frameworks using Core ML and Natural Language Processing, and understand the regulatory considerations behind AI feature deployment.
This article explains how Amazon's conversational AI integration with Grubhub and Uber Eats works, covering the underlying NLP and dialogue management systems that enable natural voice ordering.
Learn to build a simple AI sentiment analysis tool that can examine public opinion about technology companies, similar to how the documentary 'The AI Doc' analyzes CEO accountability.
Learn to build a simple AI chatbot that can answer questions about artificial intelligence concepts using Python. This beginner-friendly tutorial teaches fundamental AI principles through hands-on programming.
This explainer explores Amazon's Alexa+ service, demonstrating advanced AI concepts including multimodal processing, contextual awareness, and large language models that are reshaping conversational AI systems.
This explainer explores how AI agents could replace traditional smartphone apps by understanding user intent and acting autonomously. We examine the underlying technologies including large language models, reinforcement learning, and system architecture design.
A startup raises $12 million to build an AI operating system that makes enterprise software as intuitive as conversational AI tools.
Mistral AI's new Mistral Small 4 model combines fast text responses, logical reasoning, and image processing using 128 expert modules.
Learn to build a basic AI research agent that generates, verifies, and revises mathematical proofs using natural language processing techniques.