stochastician

12 ms·

61.
Evolutionary strategies or DFO?(argmin.net)
1 points by stochastician 10y ago|0 comments
62.
Darpa HIVE program aims to build graph processor [pdf](darpa.mil)
1 points by stochastician 10y ago|0 comments
63.
Failures of Deep Learning(arxiv.org)
210 points by stochastician 10y ago|44 comments
64.
by stochastician 10y ago
I would recommend taking the "0.16 times per second" number with a real grain of salt. That neuron is evaluating inputs from (oh, say) 1k-10k sources simultaneously, computing some analog function that we don't really underst
65.
by stochastician 10y ago
I think that's totally correct! but I'm skeptical that a lot of the non-sensory neurons work on the basis of average activity -- rate codes versus timing codes and all of that. I spent a fair amount of time in the hippocampus wher
66.
by stochastician 10y ago
Awesome, do you have a good cite for that? The last time I paid attention in this space was a year+ ago, when the vision people were trumpeting these results, so I'd love to know more about the current thinking. It's been my go-to
67.
by stochastician 10y ago
I totally agree with this. In spite of a lot of the recent hype, we still have very limited understanding of intelligence as a science. I agree "never" seems like a strong claim given that we're walking around with 7B existen
68.
by stochastician 10y ago
Expansion microscopy is new and exciting, but also still in progress, and I think struggles to identify some of the traditional areas where you have really fine neuropil. I'm actually most excited about Tony Zador and George Church&#x2
69.
by stochastician 10y ago
I think many in the neuroscience community would agree that there's a lot we can learn from connectomes, and there's a lot of value from just having a canonical, authoritative map of the underlying neuroanatomy. Every year there a
70.
by stochastician 10y ago
Also in the time-honored tradition of HN, the title isn't quite right. 1. we didn't build the connectome, the visual 6502 team did. 2. It's such a good connectome that we can simulate everything perfectly -- a Hansonian &quot
71.
by stochastician 10y ago
Original author of the paper here, happy to answer questions. It's a little strange refreshing HN and discovering new popular press about your paper.
72.
Uber starts new AI lab with acquisition of AI startup(nytimes.com)
34 points by stochastician 10y ago|0 comments
73.
The new quantum reality(wired.com)
3 points by stochastician 10y ago|1 comments
74.
by stochastician 10y ago
Author of the figures used in the blog post here. We wrote https://github.com/ericmjonas/pywren somewhat on a lark, because it seemed to fit well with our research goals and it's fun to push systems to their limi
75.
by stochastician 10y ago
I didn't realize this, and it's absolutely incredible. You guys are great!
76.
Getting TFLOPS Out of AWS Lambda(github.com)
3 points by stochastician 10y ago|0 comments
77.
Spying on citizens via our own tech(forbes.com)
6 points by stochastician 10y ago|0 comments
78.
by stochastician 10y ago
Author here -- so actually we've done a fair bit of anatomical work recovering motifs, even while looking at the processor [1] -- we took that out of this paper based on several readers' recommendation that the content was "t
79.
by stochastician 10y ago
It totally is! I read the original Lazebnik paper when I was young and it had quite an impact.
80.
Twitter for Model Selection(argmin.net)
2 points by stochastician 10y ago|0 comments
81.
by stochastician 11y ago
(Totally self-promoting here) I did a lot of work along this line in my PhD -- stochastic architectures for probabilstic computation. http://ericjonas.com/pages/circuits.html There's an increasing amount of inter
82.
by stochastician 11y ago
Note that SF already spends a large amount on the homeless http://www.sfchronicle.com/bayarea/article/S-F-spends-record... and that at least some politicians are starting to take notice http://ww2.kqed.
83.
by stochastician 11y ago
Things I love about academia: 1. incredible freedom to work on whatever I want 2. a real focus on prototypes and curiosity, with less pressure to "ship working artifacts" 3. explicit recognition that "learning new skills&quo
84.
by stochastician 11y ago
Where do you go?
85.
by stochastician 11y ago
I left industry to be a postdoc in the AMPLab and it's really depressing to see this sort of intrusive monitoring coming to the home of BSD and sockets. One of the benefits of working in academia in CS has been the absence of top-down
86.
by stochastician 11y ago
Those numbers are amazing, do you perhaps have a citation ? I'm a machine learning researcher and would love to include them in talks about data-aware algorithms.
87.
FCC opens up “Citizens Broadband” spectrum via spectrum sharing plan(networkworld.com)
2 points by stochastician 11y ago|0 comments
88.
by stochastician 12y ago
I want to take issue with "it would take little effort to find 100s of projects at universities across the world that are better versions of these projects", both as a trained biologist (neurobiology), current postdoc, and former
89.
by stochastician 12y ago
The Way Things Work by David Macaulay. Especially if we still had mammoths. http://www.amazon.com/The-Things-Work-David-Macaulay/dp/1405...
90.
Outsourced consulting infrastructure help
1 points by stochastician 13y ago|1 comments

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