WhatsApp is testing Scam Alert in limited beta, using on device machine learning to detect potential scam messages from non contacts. Meta's architecture keeps message content on the device while...

Meta AI Research has introduced Muse Glimmer, a 30-billion-parameter open-weight model under the Apache 2.0 license, designed for local workflows. It enables autonomous agents and complex task...

by Aarti Laddha, Richard Diaz-Cool, Rishika Idnani, Venkatesh SelverajNetflix supports a vast and evolving set of features and content types, ranging from 4K streaming and immersive audio to live...

Software is reshaping how medtech organizations create value. A new approach to quality assurance during software-as-a-medical-device development, supported by agentic AI, can help them realize it.

本文介绍了如何创建和管理loop设备及镜像文件，包括镜像创建、loop设备关联、分区与格式化、挂载与使用、扩容、卸载与解除关联、清理及批量操作等步骤，并提供常见问题的解决方案。

At WWDC 26, Apple announced the Core AI framework, the official successor to Core ML. It is designed to allow developers to run large language models and generative AI entirely on-device,...

Google says Gemma 4 12B is "designed to bring agentic, multimodal intelligence directly to your laptop", further noting that the new model can be combined with Google AI Edge to "build and...

本文探讨了Linux内核网络栈中的net_device和net_device_ops结构体，分析了它们在网络设备驱动与内核之间的接口作用。重点介绍了NAPI收包模型在中断与轮询之间的切换，以提高高负载下的性能，并讨论了多队列架构的并行处理能力及描述符环形缓冲区在数据传输中的重要性，最后强调了环形缓冲区大小对延迟和吞吐量的影响。

With the release of Gemma 4, Google aims to enable local, agentic AI for Android development through a family of models designed to support the entire software lifecycle, from coding to...

在Home Assistant中使用localTuya需要获取设备的local key，并手动设置实体。以威技除湿机WDH-11FS为例，需查询设备的dp_id、code和type等信息，并在localTuya中配置实体。虽然设置过程复杂，但可以实现更灵活的控制。

Gemini Robotics On-Device是一个高效的本地机器人模型，具备通用灵活性和快速任务适应能力，能够独立于网络运行，适用于延迟敏感的应用，执行复杂的多步骤指令。开发者可通过SDK进行模型评估和适应，支持快速调整以满足特定需求。该模型在多种测试场景中表现出色，能够完成如折叠衣物等精细任务，推动机器人技术的创新与发展。

We’re introducing an efficient, on-device robotics model with general-purpose dexterity and fast task adaptation.

We’re introducing an efficient, on-device robotics model with general-purpose dexterity and fast task adaptation.

Gemini Robotics On-Device是一个高效的本地机器人模型，具备通用灵活性和快速任务适应能力。该模型独立于网络运行，适用于延迟敏感的应用，能够执行复杂的多步骤指令。开发者可通过SDK轻松评估和调整模型，以满足特定需求。