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29 articles
This explainer explores how iOS 27's enhanced Siri AI system represents a significant advancement in mobile artificial intelligence, combining transformer architectures, reinforcement learning, and edge computing techniques to create more sophisticated, adaptive voice assistants.
This article explores how Apple's failed self-driving car program ultimately led to breakthrough AI chip development, examining the technical challenges and innovations in edge AI processing.
Italy's postal service, Poste Italiane, is entering the AI infrastructure race by leveraging its vast physical network to support data-driven technologies and public services.
Onsemi has announced a $7 billion acquisition of Synaptics, signaling a major shift toward 'physical AI' that operates at the edge in real-world environments.
Learn how to optimize AI models for edge deployment using quantization techniques similar to those developed by Modular AI, which Qualcomm recently acquired for nearly $4 billion.
Liquid AI introduces LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M, two new models for fast multilingual search on edge devices.
This article explains the advanced AI architecture behind Apple's new Siri, examining the technical trade-offs between privacy, performance, and computational efficiency in hybrid on-device/cloud AI systems.
This article explains how Google DeepMind's Gemma 4 QAT checkpoints, particularly the Q4_0 and mobile formats, optimize large language models for edge deployment by reducing memory usage and computational requirements through advanced quantization techniques.
Wasmer accelerated Node.js runtime development for edge computing 10x to 20x using OpenAI's Codex and GPT-5.5, completing in weeks instead of months.
Project Solara is Microsoft's new operating system designed specifically for AI agent gadgets, built on Android to enable edge computing and multi-agent orchestration. This platform represents a fundamental shift in how we conceptualize AI integration into everyday devices.
Perplexity AI has introduced an intelligent system that dynamically splits AI workloads between local PCs and cloud servers, optimizing performance and cost.
This explainer explores how Google's Fitbit Air leverages advanced AI algorithms for health monitoring, demonstrating the convergence of edge computing and machine learning in wearable technology.
