lukas

17 ms·

31.
Frog Galvanoscope(en.wikipedia.org)
2 points by lukas 9y ago|0 comments
32.
by lukas 9y ago
I've been teaching classes on machine learning for engineers (shameless self promotion: https://www.eventbrite.com/e/technical-introduction-to-ai-ma... ) One of the coolest parts of teaching these classes is how aw
33.
These Are the Closest-Ever Images of Jupiter’s Great Red Spot(vox.com)
1 points by lukas 9y ago|0 comments
34.
by lukas 9y ago
I really appreciate the author's critical analysis of this correlation presented as "fact" by Radiolab and I love how Hacker News and other blogs take these types of scientific findings and dig in for the truth. I think the
35.
Acetaminophen reduces empathy for pain (2016)(washingtonpost.com)
133 points by lukas 9y ago|93 comments
36.
by lukas 9y ago
This is clearly not a true story. I think someone should flag it or put a warning in the title.
37.
List of cognative biases(en.wikipedia.org)
6 points by lukas 9y ago|0 comments
38.
by lukas 9y ago
I love learning math from books, I feel like being forced to do the visualization in my own head can be helpful. I've seen a ton of beautiful math visualizations and I always enjoy them but on the whole, I think I've learned more
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by lukas 10y ago
picnichealth.com
40.
by lukas 10y ago
This is a little off topic but these comments make me wonder: why are lawyers so reluctant to give informal advice? I really appreciate the two thoughtful and informed comments at the top of this article here - why the disclaimers? I loo
41.
by lukas 10y ago
Marc - I've had so much fun with Raspberry Pis! Really appreciate the work you do. Have you considered setting up a kickstarter-style pre-order system? I think a lot of people would sign up and it might give you guys more predictabi
42.
by lukas 10y ago
I've used both and both are great overall. Even if you are using TensorFlow, I would recommend AWS right now for someone just starting out because the documentation is more currently more thorough, although that will probably change.
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by lukas 10y ago
This is awesome. Thanks for sharing.
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by lukas 10y ago
feelix - what kind of models do you typically run? I've spent a fair amount of time getting Neural Nets to run on Raspberry Pis and other platforms. In my experience it's possible to do inference with most models but often it&#x
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by lukas 10y ago
Hi - I wrote that article - let me know if you build some, I would be excited!
46.
by lukas 10y ago
I'm not sure that the AI significantly under-performed humans. It looks to me like the labels that the accuracy number came from were labeled by watching video of the bats. The 61% understanding number was off of 7 possible topics an
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How to build a drone with ML face recognition for $200(oreilly.com)
8 points by lukas 10y ago|1 comments
48.
Quasicrystal(en.wikipedia.org)
2 points by lukas 10y ago|0 comments
49.
by lukas 10y ago
I made an autonomous mode using the sonar sensors and a driving mode. I also made a public repo, but I didn't want to link to it, since the code is so awful (it was just a fun hobby project and I wasn't expecting people to look a
50.
by lukas 10y ago
It thinks for around 3 seconds. It doesn't use the PI's GPU - I bet that if it did it could get a lot faster. I bet you could monkey around with the compiler flags and speed it up. If anyone working on TensorFlow has some ideas
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by lukas 10y ago
This was the keyboard - https://www.amazon.com/gp/product/B0179N39KS/ref=oh_aui_sear... - it's incredibly light and cheap but one month later I'm not sure I'd recommend it. A bunch of the keys
52.
by lukas 10y ago
Author here - I guess "the holy grail" is overstated, but recognizing arbitrary objects is a tough problem that people have put a ton of time and energy into. I think to really get it right in all cases you may need general AI.
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How to build a robot that “sees” with $100 and TensorFlow(oreilly.com)
3 points by lukas 10y ago|0 comments
54.
Google Buzz is Brilliant (2010)(businessinsider.com)
3 points by lukas 10y ago|0 comments
55.
List of Vehicle Speed Records(en.wikipedia.org)
1 points by lukas 10y ago|0 comments
56.
3D Print Math(3dprintmath.com)
1 points by lukas 10y ago|0 comments
57.
Grant Study(en.wikipedia.org)
1 points by lukas 10y ago|0 comments
58.
Angel Problem(en.wikipedia.org)
128 points by lukas 10y ago|32 comments
59.
How real businesses are using machine learning(techcrunch.com)
3 points by lukas 11y ago|1 comments
60.
Artificial Intelligence Solved the Mystery of Flatworm Regeneration(motherboard.vice.com)
4 points by lukas 11y ago|0 comments

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