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11 articles
CISOs are facing new challenges in securing edge AI workloads as models like Google Gemma 4 expand beyond traditional cloud environments. Enterprises must now adapt their security strategies to govern decentralized AI deployments.
Learn how Meta AI's new EUPE model is making powerful AI small enough to run on your phone, without sacrificing performance.
Google's Gemma 4 model is now fully open-source under Apache 2.0, enabling powerful local AI deployment on devices ranging from servers to smartphones and Raspberry Pi computers.
This explainer explores how the MacBook Air M5 chip's advanced neural engine architecture enables powerful on-device AI processing, fundamentally changing how we think about edge computing and mobile artificial intelligence.
Learn to build a smart glasses AI system with object detection, real-time processing, and audio feedback similar to Meta's Ray-Ban AI glasses.
Mistral AI has released a new open-source speech model optimized for smartwatches and smartphones, bringing advanced voice capabilities to edge devices. The model's efficient design enables high-quality speech synthesis on resource-constrained hardware.
This explainer explores how AI-powered desktop virtualization works, combining containerization with machine learning to create snappy, portable desktop environments that feel native to users.
This explainer examines the technical architecture of compact computing devices like the Blackview MP20, exploring how advanced system-on-chip integration and thermal management enable high performance in minimal form factors.
Google has released TensorFlow 2.21, introducing LiteRT as the new universal on-device inference framework and enhancing GPU and NPU support for faster, more efficient edge deployments.
This article explains Alibaba's Qwen 3.5 Small Model Series, a new approach to AI model design that emphasizes efficiency and on-device deployment over traditional large-scale parameter increases.
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.
