mostafab

6 ms·

1.
by mostafab 4mo ago
Alibaba Cloud has data centers in Mexico
2.
by mostafab 4mo ago
That's a signal of being SOTA.
3.
by mostafab 7mo ago
Are people here building Frontier AI Models by Distillation? Did any of you try OpenDistil? Is it better than in-house distillation infrastructure?
4.
by mostafab 11mo ago
Why not just an ICO?
5.
by mostafab 6y ago
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...
6.
by mostafab 6y ago
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).
7.
by mostafab 6y ago
Can you post a reference? Some people are doing a lot of ultimatum with me these times
8.
by mostafab 7y ago
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
9.
by mostafab 7y ago
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)
10.
by mostafab 7y ago
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...
11.
by mostafab 7y ago
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...
12.
by mostafab 7y ago
PR is what awards are all about
13.
by mostafab 7y ago
The knowledgeable interviewer should be Schmidhuber, that will be fun
14.
by mostafab 7y ago
Academic geopolitics. The "deep learning mafia" has striked again, excluding the guy from the other side of the Atlantic, Schmidhuber
15.
by mostafab 8y ago
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 indus
16.
by mostafab 8y ago
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.
17.
by mostafab 8y ago
Work on AI for chemistry. It has applications to both Energy and Healthcare. Where are you based?
18.
You did not need deep learning to generate molecules(medium.com)
3 points by mostafab 8y ago|0 comments
19.
by mostafab 8y ago
there is nothing new in this paper, and I already wrote about it here: https://medium.com/the-ai-lab/artificial-intelligence-in-dru...
20.
by mostafab 8y ago
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&
21.
by mostafab 8y ago
I read it and wrote a reply: https://medium.com/@mostafab/mit-paper-in-ai-for-drug-discov...
22.
by mostafab 9y ago
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...
23.
Response to Harvard Professor Alan Aspuru-Guzik(medium.com)
1 points by mostafab 9y ago|1 comments
24.
Reply to Vijay Pande, VC Investor and Stanford Professor(medium.com)
1 points by mostafab 9y ago|1 comments
25.
Response to Harvard Professor Alan Aspuru-Guzik(medium.com)
1 points by mostafab 9y ago|0 comments
26.
Reply to Vijay Pande, VC Investor and Stanford Professor(medium.com)
1 points by mostafab 9y ago|0 comments
27.
Objections to (Some) Drug Discovery AI(blogs.sciencemag.org)
1 points by mostafab 9y ago|0 comments
28.
by mostafab 9y ago
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 g
29.
by mostafab 9y ago
See MoleculeNet ;)
30.
by mostafab 9y ago
Yes, especially 2)

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