jbarrow

11 ms·

91.
Behind the Science: An Introduction to Connectomics(blog.eyewire.org)
1 points by jbarrow 12y ago|0 comments
92.
Google Research Awards: Summer 2014(googleresearch.blogspot.com)
3 points by jbarrow 12y ago|0 comments
93.
Creating a City Building Game with SFML(binpress.com)
1 points by jbarrow 12y ago|0 comments
94.
by jbarrow 12y ago
I love looking at the results and seeing the annual improvement and breakout strategies. Deep learning has really come into its own during the last eight years. People interested in learning about some of the techniques employed (CNNs and d
95.
The Singularity is Far: A Neuroscientist's View(boingboing.net)
7 points by jbarrow 12y ago|0 comments
96.
Deep Learning for NLP without Magic (2013)(socher.org)
57 points by jbarrow 12y ago|6 comments
97.
by jbarrow 12y ago
What you're asking for is actually pretty broad. A lot of CodeCombat can be played with traditional Game AI strategies to try and defeat the opponent. It's one subfields of AI I've done very little research in, so take what I
98.
by jbarrow 12y ago
Gwern wrote a good overview of spaced repetition and how to apply it [1]. If you're interested in going deeper, it serves as a good starting point as he provides all kinds of references. [1] http://www.gwern.net/Spaced%
99.
by jbarrow 12y ago
If you're interested in this kind of thing and want a gentle introduction, I highly recommend CodeCombat [1], which offers both a single player version for learning the system and a multiplayer version for writing AI code. [1] http:&#
100.
How to Kick Ass in Competitive Machine Learning(machinelearningmastery.com)
3 points by jbarrow 12y ago|0 comments
101.
The Data Journalism Handbook(datajournalismhandbook.org)
3 points by jbarrow 12y ago|0 comments
102.
by jbarrow 12y ago
In terms of getting a notebook organized, I prefer the Bullet Journal method [1], which I've been using for some time now and which has been effective for me. [1] http://bulletjournal.com
103.
Cheese Making for Beginners(biology.clc.uc.edu)
3 points by jbarrow 12y ago|0 comments
104.
by jbarrow 12y ago
This is somewhat off-topic but they turned user-scalability off, making it impossible to zoom out (of the pre-zoomed in) mobile site. Other than that, it's an interesting proposition and I look forward to trying it out.
105.
by jbarrow 12y ago
Considering the Tegra K1 is the first CUDA-capable mobile processor, does anyone know if we'll be able to leverage CUDA bindings on devices that run on this?
106.
by jbarrow 12y ago
I've said it before, but articles like this do more harm than good for the field of AI research. Overhype has killed interest in the field numerous times before, and if we're not careful it can do it again. Advice to reporters who
107.
by jbarrow 12y ago
There have been a couple of companies that have tried this, mainly Numenta (Jeff Hawkins) and now Vicarious (Dileep George). The latter it's had a successful funding round, getting millions from big-name investors and entrepreneurs. Th
108.
by jbarrow 12y ago
People interested in DIY neuroscience might also be interested in the SpikerBox [1] and associated neuroscience course [2]. Although not in the same vein as the OpenBCI, it provides a hacker-friendly way to learn about principles in neurosc
109.
by jbarrow 12y ago
This would see a significant slowdown for any algorithm that requires large amounts of data, as a lot of them do. The core philosophy of Hadoop which made it successful was "move the computation to the data and not the other way around
110.
by jbarrow 12y ago
This looks like a solid package and I look forward to testing it! I've looked into writing my own machine learning code in Go, and the major difficulty that I've always run into was the lack of a good matrix package. The author of
111.
by jbarrow 12y ago
I tend to agree that evolution reaches a local optimum given enough time, but it seems that this chip is geared towards machine learning rather than biological accuracy. And currently integrate-and-fire spiking neurons don't appear to
112.
Exception Safe Coding in C++(exceptionsafecode.com)
2 points by jbarrow 12y ago|0 comments
113.
by jbarrow 12y ago
I totally agree. Neural networks, and neuromorphic computing/hardware neural networks are fascinating topics, and it's great to see a new interest in them. However, the big issue is that overhype is what caused the lull in neural
114.
by jbarrow 12y ago
I have to admit, I thought it was just pretty standard ray-tracing as well. I'd be curious to find out how it's different. I followed the link through to the website, but didn't see much additional information on it.
115.
by jbarrow 12y ago
Reading articles like this I'm often reminded of Amara's Law: "We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run." In terms of overestimation in the short te
116.
by jbarrow 12y ago
If you want a nice, visual, explanation of what a neural network is actually doing, I found this blog post to be particularly helpful. [1] Although there is some math, the rest of the post gives a good intuitive understanding of what&#x27
117.
by jbarrow 12y ago
It's true that the beginning of the talk is about how people abandoned backprop trained neural networks because they often underperformed SVMs, but the rest of the talk is about deep learning, which introduced a new generation of neura
118.
by jbarrow 12y ago
The article also neglected to mention Banner Saga, another pretty big one which has been released and is pretty fantastic.
119.
by jbarrow 12y ago
Not having read Rojas' book, I think the best text I've ever read on the subject is Michael Nielsens (in progress) "Neural Networks and Deep Learning." [1] Chapter 2 covers back propagation. It has a similarly approachab
120.
by jbarrow 12y ago
The parent mentioned that he bought the book, but I can't seem to find anywhere on the site to contribute. I've followed this book since it was first posted on Hacker News, and I would love to be able to give back. Is there a plac

More ›