@Timo

Real-time 3D tracking of satellites

A tiny open-source flight radar for your desk. Contribute to AnthonySturdy/micro-radar development by creating an account on GitHub.

New option for crosschain private swaps. Took 3 minutes. Works well submitted by /u/Vitoman1912 [link] [Kommentare]

Hi guys, today is the deadline for acceptance notification from NeurIPS. Has anyone hear back already? Do they send the rejection letter later? submitted by /u/LocksmithAlone242 [link] [Kommentare]

Hello, The problem looks simple at first, but it really isn't. Building a media stack that behaves the same whether it runs inside the robot, on your laptop, in simulation, on your phone, or on a distant powerful machine (all with short, repeatable delays) is anything but trivial! Sharing here the excellent blog post on the media stack behind Reachy Mini: https://huggingface.co/blog/pollen-robotics/reachy-mini-media-stack submitted by /u/LKama07 [link] [Kommentare]

so this exists now: a solana social app where every creator launches their own token, and your followers can buy a piece of you before you blow up. my brain immediately went “lol it’s memecoins with a face.” but i can’t stop thinking about it. like… we already tokenize everything else, art, treasuries, literal meme dogs. a creator’s future attention is real value too, it just never had a market before. is “a person” actually weirder to tokenize than a jpeg? then the gremlin in my head goes: early apes win, latecomers bag-hold, and what happens when the creator just stops posting lmao. so which is it, the endgame of the creator economy, or memecoins wearing a hoodie and pretending to be a startup? genuinely can’t decide. roast it. submitted by /u/alexsssaint [link] [Kommentare]

Explanation of the Noise Contrastive Estimation algorithm and clarification of terminology. Also covers InfoNCE, a popular technique in contrastive learning.

How does the ML research community feel about evolutionary algorithms? Should I do a PhD in this area? Quick remark: I know some people in the ML community dunk on evolutionary algorithms because there’s often a better optimizer, but they do have their place, which is what researchers in my community aim to quantify. Background: I just finished my first year as a mathematics master’s student working on the theory of evolutionary algorithms (EAs)/randomized search heuristics. I’m fortunate to be on a research assistantship and have already coauthored several papers in strong conferences in our area. I’ve always been more interested in classical ML/deep learning theory but haven’t had anyone to work with. Researchers in my field, including my advisor, occasionally publish in mainstream ML venues such as AAAI and NeurIPS, but it’s primarily the EA venues. For a while now, I’ve been independently studying deep learning and statistical learning theory, and I have found intersections with my current research that I plan to pursue for my thesis. With my current CV, it’s looking like I could get into some of the best PhD programs in my area, but I’m wondering if I should try to go to a more ML-centric PhD, even if it means going to a less prestigious institution/group for the sake of my career. I’m not sure yet what I want to do after my PhD and a possible postdoc, but I want to keep myself competitive for top-tier opportunities. What implications might doing an EA PhD have for my career? With strong EA publications, could I get into a good ML PhD program if I pitch myself appropriately? Could staying somewhat outside mainstream ML actually be a good career move, given how competitive and crowded ML has become? submitted by /u/NullRecurrentDad [link] [Kommentare]

Reviewing ArkType after writing about branded types and parsing in TypeScript. Turns out someone built the thing I was hand-rolling.