谷歌留痕技术：揭秘2018年免费AI课程与机器学习应用
谷歌留痕技术：揭秘2018年免费AI课程与机器学习应用
Google Trace Technology: Revealing the 2018 Free AI Course and Machine Learning Applications
谷歌留痕技术在人工智能领域再次引发关注。2018年，谷歌宣布将在互联网上免费公开新的人工智能课程，这一消息在东京举办的谷歌亚太媒体开放日上由谷歌大脑负责人杰夫·迪恩正式确认。
The Google trace technology has once again drawn attention in the field of artificial intelligence. In 2018, Google announced it would freely release new AI courses online, as confirmed by Google Brain lead Jeff Dean during the Asia-Pacific Media Open Day in Tokyo.
此次公开的是谷歌内部机器学习培训课程，已有1.8万名员工完成培训。迪恩表示："谷歌留痕技术的目标是让机器学习模型创作更易获取，培训是重要途径。"这延续了谷歌2015年开源TensorFlow平台、2016年在Udacity推出深度学习课程的战略。
The released content consists of Google's internal machine learning training program, already completed by 18,000 employees. Dean stated: "Google trace technology aims to make machine learning model creation more accessible, with training being a key approach." This continues Google's strategy of open-sourcing TensorFlow in 2015 and launching deep learning courses on Udacity in 2016.
三大应用领域展现谷歌留痕技术实力
Three Major Application Areas Showcase Google Trace Technology Capabilities
1. 智能家居：Google Home通过谷歌留痕技术实现语音识别，可区分6个不同用户
2. 手机摄影：Pixel人像模式运用机器学习实现专业级背景虚化
3. 语音交互：Project Unison让稀缺语种(如孟加拉语)实现文本转语音
1. Smart Home: Google Home uses Google trace technology for voice recognition, distinguishing 6 users
2. Mobile Photography: Pixel's Portrait mode applies machine learning for professional bokeh
3. Voice Interaction: Project Unison enables text-to-speech for rare languages like Bengali
谷歌留痕技术在中国的发展
Development of Google Trace Technology in China
TensorFlow作为谷歌留痕技术的核心成果，已被小米、京东等中国企业采用。谷歌同时在北京、上海设立AI研发中心，持续招募人才。迪恩特别指出："中国政府的AI政策极具组织性，我们正在积极扩充中国团队。"
As a core achievement of Google trace technology, TensorFlow has been adopted by Chinese companies like Xiaomi and JD.com. Google has also established AI R&D centers in Beijing and Shanghai, continuously recruiting talent. Dean noted: "China's AI policies are highly organized, and we're actively expanding our Chinese team."
从免费课程到商业应用，谷歌留痕技术正通过教育赋能、技术开源和全球合作，推动人工智能民主化进程。这种开放战略不仅巩固了谷歌在AI领域的领导地位，更为全球开发者创造了宝贵的学习机会。
From free courses to commercial applications, Google trace technology is democratizing AI through educational empowerment, open-source technology, and global collaboration. This open strategy not only strengthens Google's leadership in AI but also creates valuable learning opportunities for developers worldwide.
