https://www.stateof.ai/

[The Secret Auction That Set the Race for AI Supremacy](https://knowen-production.s3.amazonaws.com/uploads/attachment/file/5047/Untitled%2B41.pdf)


[where AI is headed next](https://knowen-production.s3.amazonaws.com/uploads/attachment/file/3230/Where%2BAI%2Bis%2Bheaded%2Bnext.pdf)
Our study of 25 years of artificial-intelligence research suggests the era of deep learning may end


- [Two rivalAI approaches combine to let machines learn about the world like a child](https://knowen-production.s3.amazonaws.com/uploads/attachment/file/3202/Two%2Brival%2BAI%2Bapproaches%2Bcombine%2Bto%2Blet%2Bmachines%2Blearn%2Babout%2Bthe%2Bworld%2Blike%2Ba%2Bchild%2B-%2BMIT%2BTechnology%2BReview.pdf)
Together, deep learning and symbolic reasoning create a programthat learns in a remarkably humanlike way.

[AI'S FACTIONS GET FEISTY.BUT REALLY,THEY’RE ALL ON THE SAME TEAM](https://knowen-production.s3.amazonaws.com/uploads/attachment/file/3203/AI_s%2BFactions%2BGet%2BFeisty.%2BBut%2BReally_%2BThey_E2_80_99re%2BAll%2Bon%2Bthe%2BSame%2BTeam%2B_%2BWIRED.pdf)
> Probabilistic programming lets researchers build machine learning algorithms more like coders build computer programs. But **the real power of the technique lies in its ability to deal with uncertainty.** This can allow AI to learn from less data, but it can also help researchers understand why an AI reaches particular decisions

[The AI community is realizing how important **causal reasoning could be** for machine learning and are scrambling to find ways to bolt it on.](https://knowen-production.s3.amazonaws.com/uploads/attachment/file/4782/causal%2BAI.pdf)