zhanwei

7 ms·

1.
A case for human understanding of data in practical machine learning(linkedin.com)
2 points by zhanwei 6y ago|0 comments
2.
From PhD to Machine Learning Engineer(linkedin.com)
3 points by zhanwei 6y ago|0 comments
3.
by zhanwei 8y ago
statements like that typically come from best-selling author and keynote speaker. This kind of articles seem valuable to some audience, but it's probably something I can never understand.
4.
Bothersome Bystanders and Self Driving Cars(rodneybrooks.com)
3 points by zhanwei 8y ago|0 comments
5.
by zhanwei 8y ago
"What if a large class of algorithms used today -- from the algorithms that help us avoid traffic to the algorithms that identify new drug molecules -- worked exponentially faster?" -- these problems used as example in the opening
6.
Some thoughts on widespread deployment of self-driving cars(medium.com)
1 points by zhanwei 8y ago|0 comments
7.
Market timing and some thoughts on self-driving car(medium.com)
1 points by zhanwei 8y ago|1 comments
8.
Lessons for deep-tech startups from Skydio, the autonomous drone company(medium.com)
2 points by zhanwei 9y ago|0 comments
9.
Building multi-million vs. billion dollar business(medium.com)
1 points by zhanwei 9y ago|0 comments
10.
Is deep learning a disruptive or sustaining innovation?(medium.com)
2 points by zhanwei 9y ago|0 comments
11.
by zhanwei 9y ago
He already did his job of intellectually engaging the recruiter. If the other party is not interested, it will not be rude if he update his resume and move on.
12.
by zhanwei 9y ago
The guy writes well. The recruiter is the one with bad attitude. But I would say that a practical communicator knows his audience, and in this case might want to give up explaining POSIX, change his resume, and move on.
13.
by zhanwei 9y ago
I agree with this article more. Yes, $86M is sure expensive with lots of efficiencies. But the first one is oversimplifying the technical aspect, which is missing the point on the sources of inefficiencies. The project can't be using o
14.
Why do I believe strongly even when I’ll likely end up wrong(medium.com)
2 points by zhanwei 9y ago|1 comments
15.
by zhanwei 9y ago
So IBM Watson can do all the smart and complex stuff but we still need human to do the dumb stuff like importing excel files where the cost outweighs the benefit of getting Watson to do the smart stuff.
16.
Pitfalls of early-stage deep-tech startups(medium.com)
2 points by zhanwei 9y ago|0 comments
17.
by zhanwei 10y ago
"I still think you're thinking of this as you'll take an existing product and add some AI to it. That’s not what we’re seeing. What we’re seeing is an entirely new kind of product that wasn't possible before." The m
18.
Venture capitalist Marc Andreessen explains how AI will change the world(vox.com)
2 points by zhanwei 10y ago|1 comments
19.
Pushing and pulling goals(slatestarcodex.com)
1 points by zhanwei 10y ago|0 comments
20.
by zhanwei 10y ago
"Now that DeepMind knows the approach works, it also knows where its AI system lacks information, so it may ask Google to put additional sensors into its data centers to let its software eke out even more efficiency." Sounds like
21.
by zhanwei 10y ago
This tutorial seems quite good. Covers the basic and various useful UCT extension: https://webdocs.cs.ualberta.ca/~mmueller/courses/2014-AAAI-g... However, the tutorial doesn't work towards a working implemen
22.
by zhanwei 10y ago
UCT is a very simple idea that works surprisingly well across very diverse domains. Can't emphasize its generality enough, you can throw different problems at it and it can give you decent (may not be the best) result without using any
23.
by zhanwei 11y ago
I think it could be predictability of a self-driving car in an accident that is making people uncomfortable and accident rate does not capture that. For e.g., an accident might means hitting a barrier, a human realizes the terrible situatio
24.
by zhanwei 11y ago
I see a number of meaningful advances in computing technologies last year. But the term "AI breakthroughs" is getting meaningless these days.
25.
by zhanwei 11y ago
Yes, data is important to AI but open-sourcing TensorFlow doesn't mean that code is not. Rather, it means that data and code have different strategic value. Data is their secret sauce and code is their network. The more people use and
26.
by zhanwei 11y ago
I see it as it always "human-in-the-loop" since the beginning of computing. Human using spreadsheet to do accounting is a human-in-the-loop operation with human deciding what to add, and computer doing the adding. The key differen
27.
by zhanwei 11y ago
next step, check your calendar for scheduling conflict and suggest the right response, i.e., "i'll be there"/"i can't make it". further extension, pull out quick answers from other emails, i.e., "what
28.
by zhanwei 11y ago
It seems to me to be all about having the right prior and planning for exploration. Policy search methods ( http://arxiv.org/abs/1504.00702 ) assume that there aren't many trajectories that make sense (based on pri
29.
Robotics: Countering singularity sensationalism(nature.com)
1 points by zhanwei 11y ago|0 comments
30.
by zhanwei 11y ago
Vim works well enough for me. I got merlin-mode, ocp-indent and syntax checker to work in vim but not REPL.

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