mostafab

Alibaba Cloud has data centers in Mexico

That's a signal of being SOTA.

Are people here building Frontier AI Models by Distillation? Did any of you try OpenDistil? Is it better than in-house distillation infrastructure?

Why not just an ICO?

Black female scientist Timnit Gebru fired - the end of Google as a top AI research institution?

https://melwy.com/blog/black-female-scientist-timnit-gebru-f...

Ignoring future Google research in ethics has low-risks, as top ethics talent will certainly avoid working for Google, and prefer academic freedom elsewhere (where reviewers are external, to avoid CoI).

Can you post a reference? Some people are doing a lot of ultimatum with me these times

French President Macron seems to be doing what this post is writing: trying to fine-tune the spread, and find a balance between economy and health, with proportional measures

posts from health professionals can be even worse. this one was not too bad at explaining the thinking of ruling elites (who think they can fine-tune an epidemic)

yes,they are better than GAN and reinforcement learning for generating new molecules https://medium.com/the-ai-lab/you-didnt-need-deep-learning-t...

Interesting, I think it can be applied to the current political crisis in Algeria https://medium.com/hirak-tech/alg%C3%A9rie-comment-faire-soi...

PR is what awards are all about

The knowledgeable interviewer should be Schmidhuber, that will be fun

Academic geopolitics. The "deep learning mafia" has striked again, excluding the guy from the other side of the Atlantic, Schmidhuber

Because researchers have little incentives to commercialize their research, especially in academia. They take pride of this insulation from the 'real world'. That's the root cause why research metrics are different from industry metrics.

that's a defeatist attitude. If you had unlimited money, how would you spend your time? that's how you will find what to work on.

Work on AI for chemistry. It has applications to both Energy and Healthcare. Where are you based?

there is nothing new in this paper, and I already wrote about it here: https://medium.com/the-ai-lab/artificial-intelligence-in-dru...

I disagree. There is a cost in publishing bad work, and an incentive for 'predators'. For example, MIT published a bad paper at this ICML, and I was incentivized to tell it publicly: https://medium.com/the-ai-lab/mit-paper-in-ai-for-drug-disco...

I read it and wrote a reply: https://medium.com/@mostafab/mit-paper-in-ai-for-drug-discov...

He can try Startcrowd platform, it is a side-project platform designed with Googlers in mind: https://hackernoon.com/no-kaggle-is-unsuitable-to-study-ai-m...

This professor gave an argument in his paper. I gave a refutation. If you agree with him that char-CNN was a sophisticated model in early 2017, then you are not well-informed about the situation in deep learning.

The MoleculeNet co-author gave another argument in the comments. My refutation is that you can't claim to lack time after 8*20 man-months have passed.

See MoleculeNet ;)

Yes, especially 2)