The latest blog posts to take off on Hacker News. 3,092 posts.
Like many people, I’ve been entertaining myself at home by baking a ton. I’ve gotten pretty good at following recipes, but I decided I wanted to take things one step further and understand the science behind what differentiates a cake from a bread or a cookie. I also like machine learning so I thought: what if I could…
How I (almost) replicated OpenAI’s GPT-2 (124M version)
With Donald Trump suspended from Twitter and Facebook, and Parler kicked off AWS, there is renewed discussion about what sort of speech is acceptable online, and how it should be enforced. Let me say up front that I believe that these bans were justified. However, they do raise questions that need to be discussed…
The bureaucrats are running the asylum
Last time, we briefly mentioned the high-level differences between Stockfish and Leela Chess. To recap, Stockfish evaluates about 100 million positions per second using rudimentary heuristics, wher…
From Voltages to "Cadence, Output, and Resistance" TL;DR - I’ve decoded (most of) the protocol that the Peloton bike uses to communicate with its head unit tablet and built a device,...
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This is the fourth…and LAST…entry in my series of blog posts analyzing the accuracy of Ray Kurzweil’s predictions about what things would be like in 2019. These predictions come from hi…
Exploring the computational complexity of chess. Code snippets in Python so you can do the same.
Building a simple neural net in Java.
I get confused with tensor computation libraries (or computational graph libraries, or symbolic algebra libraries, or whatever they’re marketing themselves as these days). I was first introduced to PyTorch and TensorFlow and, having no other reference, thought they were prototypical examples of tensor computation…
The past week was a momentous occasion for protein structure prediction, structural biology at large, and in due time, may prove to be so for the whole of life sciences. CASP14, the conference for …
[What follows are my thoughts on some recent research in machine learning privacy. These are my thoughts, and do not represent those of others.]
A blog by Sam Greydanus
Update (12/5): The Google team, along with Gil Kalai, have raised questions about whether the results of the new BosonSampling experiment might be easier to spoof classically than the USTC team tho…
AlphaFold from Google DeepMind is said to solve the protein folding problem. What is that, and why is it hard?
Can GPT-3 compute the ultimate question about life, the Universe and everything?
Machine learning is a trendy topic, so naturally it’s often used for inappropriate purposes where a simpler, more efficient, and more reliable solution suffices. The other day I saw an illustrative and fun example of this: Neural Network Cars and Genetic Algorithms . The video demonstrates 2D cars driven by a neural…
Linear algebra is to machine learning as flour to bakery: every machine learning model is based in linear algebra, as every cake is based in flour . It is not the only ingredient, of course. Machine learning models need vector calculus, probability, and optimization, as cakes need sugar, eggs, and butter. Applied…
awhile ago i posted my list of cool machine learning books , but it's been awhile so it's probably time to update it...
Second-tier Scottish football club Inverness Caledonian Thistle doesn’t have a camera operator for matches at their stadium so the club uses an AI-controlled ca
This post is part of a series about machine learning and artificial intelligence. Click on the blog tag “huskyai” to see related posts. Overview: …
Lambdaclass's blog about distributed systems, machine learning, compilers, operating systems, security and cryptography.
Why models always get better when they are bigger and deeper, even when the amount of data they consume stays the same or gets smaller.
In this article we take performance of the SSD300 model even further, leaving Python behind and moving towards true production deployment technologies: TorchScript, TensorRT and DeepStream. We also identify and understand several limitations in Nvidia’s DeepStream framework, and then remove them by modifying how the…
