1. The Current State of Machine Intelligence 3.0 https://medium.com/@shivon/the-current-state-of-machine-intelligence-3-0-e4d305da032e#.v2as5p9vl
2. 摘录
* As has been the case for the last couple of years, our fund still obsesses over “problem first” machine intelligence — we’ve invested in 35 machine intelligence companies solving 35 meaningful problems in areas from security to recruiting to software development.
* We care about whether a founder uses the right method to solve a problem, not the fanciest one. We favor those who apply technology thoughtfully.
* This begs questions: What else in the world looks like a game? Or what else in the world can we reconfigure to make it look more like a game?
* We’ve had a few people tell us that the biggest predictor of whether a company will successfully adopt machine intelligence is whether they have a C-Suite executive with an advanced math degree. These executives understand it isn’t magic — it is just (hard) math.
3. 自我思考
先说点题外话,之前有人推荐这个Medium的网志平台,说是很有趣。当时不以为然,现在发现确实还不错。首先,都是基于兴趣标签的推荐、也可以follow一些知名博主;其次,每篇文章会提示你大概需要多长时间阅读,所以对碎片阅读而言还是蛮方便的;最后,也是最有意思的,便是社交化的高亮以及回复,你可以针对文章中的某些句子高亮并回复并且对其公开。
这篇文章提出了一站式人工智能的重要性,如下图所示,枚举了当前比较有名的一些初创公司或者开源应用。也提出了现阶段,问题导向的人工智能项目会比较受投资者偏好一些。强烈推荐Open AI Gym这个开源社区,里面可以自己设计增强学习算法,然后来训练AI玩游戏!

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