Viewing profile — jegp
jegp
HN member- Joined
- Thu, May 23, 2013, 11:25 PM UTC
- HN karma
- 40
- Public activity
- 34 items
- HN profile
- View on Hacker News ↗
About jegp
https://jepedersen.dk
Recent public activity
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Comment #45229044
What's your stack? After reading this, self hosting suddenly appeals to me.
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Comment #44339850
Great. If they can make some money out of this, why not? I wonder what happens if they lock down some features as premium-only. The competition is tight in this space and there are…
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Comment #44211830
Is the code for the "feeling lucky" selection mechanism open? Or, do you know how they select papers at random?
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Comment #44211821
That's a great point. I thought about something similar, but I also realized the arXiv numbers are growing like crazy, so I wonder how long it'll take for the (hardcoded) numbers t…
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Comment #44211801
Thanks for this! If I knew this existed, I wouldn't have built the page myself.
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Show HN: Grab a Random ArXiv Paper
I needed a way to grab a random paper from arXiv, so I built one and wanted to share it with you. It 1) picks a random topic (of all the cs. , econ. , math.* etc. topics) 2) finds …
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Comment #43434547
Conflicting motivations sounds like a very reasonable thing in large populations, in fact. But I have a hard time believing why workers wouldn't unanimously want better pay, better…
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Comment #43434530
Isn't the question then about the lesser evil? It's wrong to deny unions on the basis that some people are corrupt. Some people in companies are corrupt too and the US lies squarel…
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Comment #43428421
As an outsider, I'm astounded why workers aren't unionizing to a much higher degree. It's been proven to work [1] against the misinformation, discord, and wealth inequality that co…
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Comment #41565409
Hey HackerNews community, I wanted to share my excitement around our work on a "Neuromorphic Intermediate Representation" (NIR), published in Nature Communications: "NIR defines a …
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Comment #40936927
It's still possible to train a network that's aware of the physics and then transfer that to physical devices. One approach to this from the neuromorphic community (that's been wor…
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Comment #39677591
Thank you for your seriously thoughtful insights. You're saying we should have reproducibility, communication, and exploration. I fully agree with that, but I would like to push ba…
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Comment #39662665
Is this novel? Spatial codes have been known for long and neuron (populations) are known to code for time [1]. That reference also states that "Neurons that respond selectively to …
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Comment #39653317
A friend of mine built this course on real-time coding for GPUs with Rust, and I'm seriously impressed. The scope is great, the content, and questions are spot-on, and it's crammed…
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Comment #38431439
Spiking neural networks and neuromorphic hardware platforms that emulate neural dynamics are slowly gaining momentum and entering main-stream usage. Despite a well-established math…
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Comment #37197120
If the goal is to share the visual contents of the pad, why not just stream the graphics over SSH? I recommend checking out reStream: https://github.com/rien/reStream/ Using nixos,…
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Comment #35697321
If we think about spikes as discretized transfer functions, I would say it's totally viable to "hack" them to represent numerical approximations. In fact, a recent paper demonstrat…
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Comment #35694230
I'm a PhD student working with neuromorphic computing. I like to think about SNNs as RNNs with discretized outputs. The neurons themselves may have some complicated nonlinear dynam…
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Comment #35495952
Wonderful to see this getting attention! I met with Minh since we were both using Futhark for our thesis. It's blazing fast and quite fun to work with. If anyone's interested, my t…
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Comment #34572053
This. And it's completely reproducible. IMO this is the best bet for stability + long-term survivability.
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Comment #34058552
Exactly. And it gets even better if you pair it with a personal voice assistant, like mycroft.ai "Hey Mycroft, play songs about better software integrations"
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Comment #31553151
What is lambda-calculus and why is it important for the future of computing and natural science?