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10 articles
This article explains how advanced AI systems like Gemini enable real-time object tracking and scene understanding on mobile devices, using sophisticated computer vision and edge computing techniques.
Explore the technical innovations behind ByteDance's SeedRealtime, a multimodal AI model that processes audio, video, and text in real time for more natural human-AI interaction.
Learn to build a smart glasses application using Python and OpenCV that can detect faces, display overlays, and recognize gestures - similar to what we see in futuristic media.
A new open-source voice model named Audio Interaction listens continuously and makes real-time decisions every 0.4 seconds about when to speak or stay silent.
Perplexity AI has introduced an intelligent system that dynamically splits AI workloads between local PCs and cloud servers, optimizing performance and cost.
Thinking Machines Lab introduces TML-Interaction-Small, a 276B parameter model enabling real-time multimodal AI interaction with continuous full-duplex exchange.
Learn how real-time AI processing works and why it's changing how we interact with artificial intelligence. Discover the difference between traditional AI conversations and the new fluid interactions being developed by companies like Thinking Machines.
OpenAI has released new real-time voice models through its API that can reason, translate, and transcribe speech with enhanced intelligence. These advancements promise to revolutionize voice-based interactions across numerous applications.
Explore the advanced technical features of Google's Gemini 3.1 Flash Live, a real-time multimodal voice model designed for low-latency audio and video interactions.
This article explains how real-time content delivery systems work, combining distributed computing, stream processing, and AI to enable dynamic e-commerce experiences like Amazon's live sale updates.
