飞浆开源深度学习平台 vs fast.ai：怎么选？

飞桨开源深度学习平台致力于让深度学习技术的创新与应用更简单。其核心功能包括提供丰富的预训练模型库和端到端的开发套件，开发者可快速调用图像识别、自然语言处理等领域的成熟模型；同时支持动态图与静态图相结合的编程模式，兼顾灵活性与部署效率。飞桨还内置了自动混合精度训练和分布式训练工具，显著降低硬件门槛并提升训练速度。该平台主要面向AI初学者、科研人员以及企业工程师，尤其适合希望快速落地深度学习项目的团队。在具体使用中，高校学生可借助飞桨完成课程实验与竞赛项目，研究人员能基于其模型库进行二次创新，企业则能通过飞桨实现工业质检、智能客服等场景的快速部署。

关于 fast.ai

Following the thread of any seemingly quantitative issue in AI ethics (such as determining if software to rate loan applicants is racially biased or evaluating YouTube’s recommendation system) quickly leads to a host of qualitative questions. Unfortunately, there is often a large divide between computer scientists and social scientists, with over-simplified assumptions and fundamental misunderstandings of one another.

By using better masks, monitoring and improving indoor air quality, and rolling out rapid tests, we could quickly halt the current outbreaks in the Australian states of New South Wales (NSW) and Victoria. If we fail to do so, and open up before 80% of all Australians are vaccinated, we may have tens of thousands of deaths, and hundreds of thousands of children with chronic illness which could last for years.

As governments consider new uses of technology, in public places, this raises issues around surveillance of vulnerable populations, unintended consequences, and potential misuse. There are several principles to keep in mind in how these decisions can be made in a healthier and more responsible manner.