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Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 262 posts.
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Successful machine learning models: lessons learned at Booking.com
150 successful machine learning models: 6 lessons learned at Booking.com Bernadi et al., KDD’19 Here’s a paper that will reward careful study for many organisations. We’ve previously looked a…
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YOLO: Real-Time Object Detection
You only look once (YOLO) is a state-of-the-art, real-time object detection system. On a Pascal Titan X it processes images at 30 FPS and has a mAP of 57.9% on COCO test-dev.
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DeepMind – StarCraft II Demonstration
DeepMind shares its latest updates developing AI in StarCraft II.
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On-Device, Real-Time Hand Tracking with MediaPipe
Posted by Valentin Bazarevsky and Fan Zhang, Research Engineers, Google Research The ability to perceive the shape and motion of hands can be a v...
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A Gentle Introduction to Bayes’ Theorem for Machine Learning
Bayes Theorem provides a principled way for calculating a conditional probability. It is a deceptively simple calculation, although it can be used to easily calculate the conditional probability of events where intuition often fails. Although it is a powerful tool in the field of probability, Bayes Theorem is also…
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Lyft releases self-driving research dataset
By Luc Vincent, EVP Autonomous Technology
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ML From Scratch, Part 1: Linear Regression
To kick off this series, will start with something simple yet foundational: linear regression via ordinary least squares. While not particularly exciting, linear regression finds widespread use both as a standalone learning algorithm and as a building block in more advanced learning algorithms.
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Python vs. Rust for Neural Networks
Comparing a simple neural network in Rust and Python
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Fun with Snapchat's Gender Swapping Filter
Snapchat's new gender-bending filter is a source of endless fun and laughs at parties. The results are very pleasing to look at. As someone ...
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Zero-shot transfer across 93 languages
To accelerate the transfer of natural language processing (NLP) applications to many more languages, we have significantly expanded and enhanced our LASER (Language-Agnostic SEntence Representation…
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An Introduction to Recurrent Neural Networks
A simple walkthrough of what RNNs are, how they work, and how to build one from scratch in Python.
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DeepSpeech 0.6
The Machine Learning team at Mozilla continues work on DeepSpeech, an automatic speech recognition (ASR) engine which aims to make speech recognition technology and trained models openly available to developers. ...
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Quantum supremacy: the gloves are off
Links:Google paper in NatureNew York Times articleIBM paper and blog post responding to Google’s announcementBoaz Barak’s new post: “Boaz’s inferior classical inferiority FA…
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OpenAI LP
We’ve created OpenAI LP, a new “capped-profit” company that allows us to rapidly increase our investments in compute and talent while including checks and balances to actualize our mission.
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OpenAI Releases Largest GPT-2 Text Generation Model
As the final model release of GPT-2’s staged release, we’re releasing the largest version (1.5B parameters) of GPT-2 along with code and model weights to facilitate detection of outputs of GPT-2 models. While there have been larger language models released since August, we’ve continued with our original staged release…
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Transformers from Scratch
Repository for personal website
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Examples to compare OCR services: Amazon vs. Google vs. Microsoft
We're building a note app that needs to do OCR as well as possible. We hoped there would be a good modern 2019 comparison of the image OCR services, but as of July 2019, there wasn't, so we wrote one.
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Enabling developers and organizations to use differential privacy
Whether you're a city planner, a small business owner, or a software developer, gaining useful insights from data can help make services work better and answer important questions. But, without strong privacy protections, you risk losing the trust of your citizens, customers, and users.
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How we built the Waifu Vending Machine
On the weekend of Anime Expo, an artist promised the humanly impossible -- custom art commissions with a five-minute turnaround time. The not-so-hidden catch? The artist wasn't a human at all, but an AI exposed to millions of anime images.
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Gaussian Processes, not quite for dummies
Before diving inFor a long time, I recall having this vague impression about Gaussian Processes (GPs) being able to magically define probability distributions over sets of functions, yet I procrastinated reading up about them for many many moons. However, as always, I’d like to think that this is not just due to my…
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Welcoming Semmle to GitHub
Today we’re announcing a big step in securing the open source supply chain: we’re welcoming Semmle to the GitHub family.