2018年5月25日推荐
AI MXNet开放支持Keras,高效实现CNN与RNN的分布式训练 机器学习产品交互设计原则 —— 以人为中心
AI
MXNet开放支持Keras,高效实现CNN与RNN的分布式训练
https://zhuanlan.zhihu.com/p/37269063
机器学习产品交互设计原则 —— 以人为中心
[https://mp.weixin.qq.com/s?__biz=MzU1OTMyNDcxMQ==&mid=2247484259&idx=1&sn=6067748de38aa5301a27fb3378343ac5](https://mp.weixin.qq.com/s?__biz=MzU1OTMyNDcxMQ==&mid=2247484259&idx=1&sn=6067748de38aa5301a27fb3378343ac5&chksm=fc18482bcb6fc13d2751d67e6ef4cecac89225128c5c496d9f7b711df49cf69a3ecdabb7e374&scene=21&key=65d863a054885f7b3a52519363c392d93274a25660643ed59b5459be5391c4d5e2572c32c487e39fd36900a6611d959a6aacad556a6d06307a4ca70401c1609f6601e70983a02393a66986152c9eece1&ascene=0&uin=MTM3NDc5Njk2MA==&devicetype=iMac MacBookAir7,2 OSX OSX 10.13.4 build(17E202)&version=12020710&nettype=WIFI&lang=zh_CN&fontScale=100&pass_ticket=8LWJgFANR7BlKAdpmoEJANFwDzuV0CXdg9oHJaFYT7DfRu1Wu32dYkR5QBLX6joj#wechat_redirect)
EE 227C (Spring 2018): Convex Optimization and Approximation
从开发框架到后端AI服务,一篇文章全面分析现有聊天机器人API
[https://mp.weixin.qq.com/s?__biz=MzU1NDA4NjU2MA==&mid=2247490586&idx=2&sn=198a0cf2be1d99b1e2d7ad917493f7b4](https://mp.weixin.qq.com/s?__biz=MzU1NDA4NjU2MA==&mid=2247490586&idx=2&sn=198a0cf2be1d99b1e2d7ad917493f7b4&chksm=fbe9a5d5cc9e2cc3972b039a9d904f77356e5a009d233626a234f5aa7bffa956a53575da662a&scene=21&key=f59a9dadf0e50caa350124c221fc5570fae533b3efcaa401ef87ed24c3f81d5135bd5295ce4669420c791cf73ffaf3a6853663e37cd7b74e58a4ba1eef7f008a14e702be1e0136440dc0e3779276eb6c&ascene=0&uin=MTM3NDc5Njk2MA==&devicetype=iMac MacBookAir7,2 OSX OSX 10.13.4 build(17E202)&version=12020710&nettype=WIFI&lang=zh_CN&fontScale=100&pass_ticket=8 hwO1KSBCDh5G3rIzq4u lDQktn4VBFokul/lPI0Y9nz5ssdTBzwOWtQX4zQdXq#wechat_redirect)
安全
基于区块链域名的僵尸网络病毒分析
http://www.freebuf.com/articles/blockchain-articles/172559.html
Reverse Engineering
http://martin.uy/blog/projects/reverse-engineering/
AI安全
Defense Against the Dark Arts: An overview of adversarial example security research and future research directions
http://www.iangoodfellow.com/slides/2018-05-24-DLS-notes.pdf
ACL 2018 | 问答模型真的理解问题吗:归因分析可轻松构造对抗问题样本
The US military is funding an effort to catch deepfakes and other AI trickery
