Kien T. Pham

[Kien T. Pham @kientpham]

@sbmisi Haha either problem introduction or best ramen in the city :D

[Kien T. Pham @kientpham]

Proud to be part of this initiative!

[Kush Varshney कुश वार्ष्णेय @krvarshney]

A beautiful video goes into more depth about the @IBMResearch Science for Social Good initiative: https://t.co/GZMhB3MiOK.

Kudos to the fellows who have driven all the work: @ejpatters, @cosmo_moi, @sbmisi, @hemanklamba, Yumeng Tao, @kientpham, @caitkuhlman, @FlavioCalmon, ...

[Kush Varshney कुश वार्ष्णेय @krvarshney]

A beautiful video goes into more depth about the @IBMResearch Science for Social Good initiative: https://t.co/GZMhB3MiOK.

Kudos to the fellows who have driven all the work: @ejpatters, @cosmo_moi, @sbmisi, @hemanklamba, Yumeng Tao, @kientpham, @caitkuhlman, @FlavioCalmon, ...

[Kien T. Pham @kientpham]

@sharulhafiz ProQuest actually hasn't released it yet but you can get the main ideas from these two papers: https://t.co/xq7GPcQuCg & https://t.co/1Q2T5k5YBQ

[Kien T. Pham @kientpham]

Can't get enough DL?

[Alex Smola @smolix]

Check out our new book project: Dive into Deep Learning https://t.co/LQRnwMBjqz - Jupyter Notebooks, PDF, and website, all generated from one source.

[Kien T. Pham @kientpham]

This explains why your trains slow down and then speed up https://t.co/TnWA6MTdAs

[Erik Bernhardsson @bernhardsson]

Amazing interactive subway delay data visualization from NYT: https://t.co/3NFFScZuh3

[Kien T. Pham @kientpham]

The fear and the cheer of database research. https://t.co/3fHB0ssfdP

[Michael Cafarella @MikeCafarella]

Database friends: we know things can be hard sometimes, but it's going to be ok. We love you! https://t.co/KEh0QfpGXs

[Kien T. Pham @kientpham]

“Eleven Reasons To Be Excited About The Future of Technology” by @cdixon https://t.co/sA6bCOh0Ih

[George Tucker @georgejtucker]

Very interesting read! https://t.co/uHcRhlUJyL

[Juliana Freire @jfreirenet]

NYU very well represented at WSDM2018 @kientpham @aeciosan @ipeirotis @dedwit @NYUDataScience @nyutandon

[Kien T. Pham @kientpham]

Meanwhile in biotechnology https://t.co/67NGyMMH1V

[James Wang @draecomino]

1953 – Discover human source code
2000 – Read human source code
2017 – Edit human source code

https://t.co/dFCscmwRyf

[Kien T. Pham @kientpham]

Reminds me when I was reading fiction books as a kid https://t.co/cEB8BntUjT

[Elon Musk @elonmusk]

Colonizing Mars (thanks Prof Hubbard for creating this from my talk). Major changes to the plan coming soon. https://t.co/s59qMHUj5O

[Enrico Bertini @FILWD]

In the to-read list: Stanford's "One Hundred Year Study on Artificial Intelligence (AI100)" | https://t.co/knEzmREUJN.

[Kien T. Pham @kientpham]

It is unlikely that machines are allowed to pursue a PhD in the near future so I am safe now #newtaskformachine https://t.co/LNyzehnW2G

[Werner Vogels @Werner]

Apparently, I can start looking for a new job :-) "Six Very Clear Signs That Your Job Is Due To Be Automated" https://t.co/W4d0USdWHZ

[Kien T. Pham @kientpham]

When you think all theory is wrong then you can trust it to some extend https://t.co/rn61NL9iQu.

[DARPA @DARPA]

New DARPA funding opportunity for #machine learning #ML research https://t.co/lR1HmMk52Z #ICML16 Addtl detail: https://t.co/yfan88gWLs

[Kien T. Pham @kientpham]

The Race Is On to Control Artificial Intelligence, and Tech’s Future https://t.co/08y8B8MH1p

[Kien T. Pham @kientpham]

References are important. https://t.co/sA8oLxeGCE