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43 articles
NVIDIA's Jetson Orin Nano 2 brings physical AI to drones and robots, enabling developers to deploy generative AI models directly on edge devices. The board supports real-time decision-making and is designed for autonomous systems requiring low-latency processing.
Learn how to benchmark AI models on edge devices using Liquid AI's open-source Pipette tool, testing performance across different hardware, quantization, and runtime environments.
This explainer explores Google's AI-first laptop architecture, examining how dedicated AI hardware and software integration differ from previous approaches like Microsoft's Copilot+ PCs, and why this shift represents a fundamental rethinking of computing design.
This explainer examines how advanced AI algorithms in smartwatches like the Pixel Watch 5 enable sophisticated health monitoring through machine learning, edge computing, and personalized predictive models.
This explainer explores how the Google Pixel Watch 5 integrates advanced AI concepts like edge computing, neural networks, and continual learning to provide intelligent health monitoring. Learn how wearable AI systems process biometric data in real-time to deliver personalized health insights.
This article explains the technical foundations and implications of voice-activated AI wearables, focusing on how speech recognition, natural language processing, and edge AI work together to enable seamless, continuous data capture in compact devices.
This explainer examines the advanced neural processing architecture and AI capabilities that will power Google's upcoming Pixel 11 smartphones, focusing on on-device machine learning and edge AI technologies.
This article explains on-device inference - the practice of running AI models directly on user devices rather than in the cloud - and why it matters for privacy, performance, and scalability in modern AI applications.
AI infrastructure company Runware has launched the Sonic Inference Pod, a modular data center designed to bring powerful AI computing capabilities directly to edge locations.
This explainer explores how Samsung's Galaxy Z Fold 8 Ultra integrates advanced AI systems for adaptive interface optimization, examining the sophisticated machine learning architectures that enable seamless transitions between different screen states and user experiences.
This explainer examines the advanced AI concepts powering modern smartphones, including neural processing units, reinforcement learning, and edge AI architectures, as demonstrated by the Samsung Galaxy Z Flip 8 and Motorola Razr Ultra.
NVIDIA has released Cosmos 3 Edge, a 4-billion-parameter open world model designed to run entirely on-device, enabling robots to reason and act autonomously in real-time environments.
