therajiv

11 ms·

1.
by therajiv 2y ago
I've tried a few online jeopardy simulators before, but have always just ended up going back to hunching over a laptop together with my friends on j-archive. This looks much more convincing than ones I've seen before, especially t
2.
by therajiv 3y ago
Are applications like batteries, semiconductors, solar panels, etc. bottlenecked by the number of available materials? Also, I wonder if the discovered materials are kind of "interpolating" between materials that are already known
3.
by therajiv 8y ago
Seems like this could have dramatic effects on some professions where 60+ hour workweeks are typical even outside of Korea, e.g. being an early startup employee or adhering to the strenuous pro gamer practice schedule. While it's proba
4.
NYTimes: Teaching A.I. Systems to Behave Themselves(nytimes.com)
4 points by therajiv 9y ago|0 comments
5.
Mode collapse in GANs(aiden.nibali.org)
2 points by therajiv 9y ago|0 comments
6.
by therajiv 9y ago
NYT and Nature News.
7.
by therajiv 9y ago
I ran into this guy randomly at MIT once, during the offseason (last February). He was such a chill guy. Hearing this news makes me like him even more - he's not letting one of his passions get in the way of another.
8.
Analyzing the Gender Representation of 34,476 Comic Book Characters(pudding.cool)
2 points by therajiv 9y ago|0 comments
9.
by therajiv 9y ago
TLDR is that models will become more abstract (current pattern recognition will blend with formal reasoning and abstraction), modular (think transfer learning, but taken to its extreme - every trained model's learned representations sh
10.
by therajiv 9y ago
You provide great examples, thanks. I guess I was just hoping that the article would spell out those situations as clearly as you did.
11.
by therajiv 9y ago
Sorry if I came off that way, that's not at all what I meant. My comment was more along the lines of putting a face to statistics; reading about the numbers of people dying is a weaker motivator than hearing the stories behind the li
12.
by therajiv 9y ago
It's not clear to me how malicious actors can manipulate this observation to confuse self-driving cars. That said, I don't think this discredits the point of the article; it's important to note how easily deep learning models
13.
by therajiv 9y ago
I knew Maryam was incredible the first time I heard her give a talk at Stanford. To my fellow cancer researchers out there: this is about as good motivation as we'll ever have to keep plugging along.
14.
Towards General AI: Learning to Cooperate, Compete, and Communicate(blog.openai.com)
1 points by therajiv 9y ago|1 comments
15.
by therajiv 9y ago
This is exactly my point - the danger of "anthropomorphization" lies in taking the brain analogy too far. That is, there shouldn't necessarily be a link between research in neuroscience and advances that make deep learning mo
16.
by therajiv 9y ago
As someone primarily interested in interpretation of deep models, I strongly resonate with this warning against anthropomorphization of neural networks. Deep learning isn't special; deep models tend to be more accurate than other metho
17.
by therajiv 9y ago
Well, the data wasn't showing that the past few years were anomalous; rather, there were fewer high-magnitude earthquakes than expected. I don't think this has anything to do with being overdue for an earthquake. Most likely this
18.
by therajiv 9y ago
Wow, the discussion on the Fukushima civil engineering decision was pretty interesting. However, I find it surprising that the engineers simply overlooked the linearity of the law and used a nonlinear model. I wonder if there were any econo
19.
by therajiv 9y ago
I'm surprised this works well. If the method is a state-of-the-art convolutional neural network architecture, you generally would need more than 10 images -- even with transfer learning -- for passable accuracy. Algorithms for medical
20.
Lights, camera, CRISPR: Biologists use gene editing to store movies in DNA(google.com)
2 points by therajiv 9y ago|0 comments
21.
by therajiv 9y ago
Wow - literally just saw an article about RescueTime on the frontpage of NYT ( https://www.nytimes.com/2017/07/05/your-money/where-does-the... ). And installed it 5 minutes ago. Coincidence, if I've e
22.
by therajiv 9y ago
I'll agree with you that it's much harder than it should be (thankfully, finding the implementations is the hard part, not using them), but yes, these methods do exist. DeepLIFT (the method I linked in my original comment: https:
23.
by therajiv 9y ago
The author discusses how linear models are generally more interpretable than deep learning methods, but I'd argue that's actually changing pretty quickly. Especially for large image/sequence inputs (which covers most of the a
24.
On Mathematical Research in High School [pdf](ams.org)
3 points by therajiv 11y ago|0 comments