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Nvidia makes it easy to embed AI: The Jetson nano packs a lot of machine-learning power into DIY projects - [Hands on]
IEEE Spectrum ( IF 3.1 ) Pub Date : 2020-07-01 , DOI: 10.1109/mspec.2020.9126102
Stephen Cass

When opportunity knocks, open the door: No one has taken heed of the adage like Nvidia, which has transformed itself from a company focused on catering to the needs of video gamers to one at the heart of the artificial-intelligence revolution. In 2001, no one predicted that the same processor architecture developed to draw realistic explosions in 3D would be just the thing to power a renaissance in deep learning. But when Nvidia realized that academics were gobbling up its graphics cards, it responded, supporting researchers with the launch of the CUDA parallel computing software framework in 2006.

中文翻译:

英伟达让嵌入 AI 变得容易:Jetson nano 将大量机器学习能力打包到 DIY 项目中 - [动手实践]

当机会来临时,敞开大门:没有人像英伟达那样听过这句格言,英伟达已经从一家专注于满足视频游戏玩家需求的公司转变为处于人工智能革命核心的公司。2001 年,没有人预测开发用于在 3D 中绘制逼真爆炸的相同处理器架构将成为深度学习复兴的动力。但是当 Nvidia 意识到学术界正在吞噬其显卡时,它做出了回应,支持研究人员在 2006 年推出了 CUDA 并行计算软件框架。
更新日期:2020-07-01
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