AI研习社 vs fast.ai：怎么选？

AI研习社是一款专注AI技术发展与AI工程师成长的求知平台。它提供前沿的AI技术文章、实战教程和行业报告，覆盖从机器学习基础到深度学习应用的完整知识体系。其核心功能包括由资深工程师主讲的直播课程，帮助用户系统掌握算法与框架；以及每日更新的技术解读与案例分享，让用户紧跟行业动态。此外，平台还设有问答社区，鼓励用户交流疑难问题，形成互助学习氛围。这款工具主要面向AI领域的学生、初级工程师和希望转型的技术从业者。无论是日常自学巩固基础，还是为面试准备项目经验，亦或是工作中遇到技术瓶颈时寻求解决方案，AI研习社都能提供精准的指导与资源，助力用户从入门到精通。

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.