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Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 212 posts.
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AlphaFold: a solution to a 50-year-old grand challenge in biology
Proteins are essential to life, supporting practically all its functions. They are large complex molecules, made up of chains of amino acids, and what a protein does largely depends on its unique 3D structure. Figuring out what shapes proteins fold into is known as the “protein-folding problem”, and has stood as a…
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Siri, What Time Is It in London?
Every other service that tries to answer “What time is it in London?” gets it right. Only Siri gets it wrong.
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Andreessen-Horowitz craps on “AI” startups from a great height
Andreessen-Horowitz has always been the most levelheaded of the major current year VC firms. While other firms were levering up on “cleantech” and nonsensical biotech startups that viol…
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A one-year moratorium on police use of Rekognition
We’re implementing a one-year moratorium on police use of Amazon’s facial recognition technology. We will continue to allow organizations like Thorn, the International Center for Missing and Exploited Children, and Marinus Analytics to use Amazon Rekognition to help rescue human trafficking victims…
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Hum to Search Song
Google Search helps you find the melody that’s stuck in your head with machine learning technology.
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InstaHide Disappointingly Wins Bell Labs Prize, 2nd Place
[What follows are my thoughts on some recent research in machine learning privacy. These are my thoughts, and do not represent those of others.]
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Full Autopilot in GTA Using TensorFlow
student, nomad in machine learning
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Jukebox
We’re introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artist styles. We’re releasing the model weights and code, along with a tool to explore the generated samples.
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What I learned from looking at every AI/ML tool I could find
[Twitter thread, Hacker News discussion]
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Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU
NVIDIA Corporate Blog Post Archive
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Giving GPT-3 a Turing Test
I’ve been playing around with OpenAI’s new GPT-3 language model. When I got beta access, the first thing I wondered was, how human is GPT-3? How close is it ...
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You might not need machine learning
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…
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Open Problems in Robotics
Robotics is one of those things the business funny papers regularly wonder about; it seems like consumer robotics is a revolutionary trillion dollar market which is perpetually 20-years away -more…
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Image Scaling Attacks
This post is part of a series about machine learning and artificial intelligence. Click on the blog tag “huskyai” to see related posts. Overview: …
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Enemy AI: chasing a player without Navigation2D or A* pathfinding
Making a game where your enemies need to chase the player? This starts out easy, make the enemy run towards the player! But what happen...
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Background Features in Google Meet, Powered by Web ML
Posted by Tingbo Hou and Tyler Mullen, Software Engineers, Google Research Video conferencing is becoming ever more critical in people's work and p...
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Amazon's ML University is making its online courses available to the public
Classes previously only available to Amazon employees will now be available to the community.
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Introduction to Linear Algebra for Applied Machine Learning with Python
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…
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A popular self-driving car dataset is missing labels for hundreds of pedestrians
SUMMARY A hand-check of the 15,000 images in the widely used Udacity Dataset 2 found problems in 4,986 of them (33%), including thousands of unlabeled vehicles, hundreds of unlabeled pedestrians, dozens of unlabeled cyclists, and 217 completely unannotated images that contained real objects. Phantom annotations…
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How GPT3 Works – Visualizations and Animations
Discussions: Hacker News (397 points, 97 comments), Reddit r/MachineLearning (247 points, 27 comments) Translations: German, Korean, Chinese (Simplified), Russian, Turkish The tech world is abuzz with GPT3 hype. Massive language models (like GPT3) are starting to surprise us with their abilities. While not yet…
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YOLOv5: State-of-the-art object detection at 140 FPS
YOLOv5 license and commercial-use guide: AGPL-3.0 terms, specs, resources, and alternatives. Compare YOLOv5 against other vision models free.
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Why is AI so useless for business?
AI research has structural problems that limit how much it can impact business. But understanding why gives a way to determine what will work and what won't, as well as reveal new business opportunities.
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Turing-NLG: A 17B-parameter language model
This figure was adapted from a similar image published in DistilBERT. Turing Natural Language Generation (T-NLG) is a 17 billion parameter language model by Microsoft that outperforms the state of the art on many downstream NLP tasks. We present a demo of the model, including its freeform generation, question…
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My First Year as a Freelance AI Engineer
This week marks my one-year anniversary of quitting my full-time job and becoming a freelance AI engineer. I’m writing down my thoughts and experience here so that this might be useful if you are even vaguely interested.