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The most popular blog posts about ai & machine learning on Hacker News. 301 posts.
Left: Original image. Center: Blurred through convolution. Right: Deconvolution of the blurred image. In this post, we’ll have a look at the idea of removing blur from images, videos, or games thro…
Facial hair is a largely overlooked topic in facial performance capture. Most production pipelines in the entertainment industry do not have a way to automatically capture facial hair or track the skin underneath it. Thus, actors are asked to shave clean before face capture, which is very often undesirable. In this…
Background Backpropagation is a common method for training a neural network. There is no shortage of papers online that attempt to explain how backpropagation works, but few that include an example…
comma.ai has raised $8.1 million, Zoox has raised $990 million. Cruise and Waymo have raised even more.
I feel techniques for making machine learning work with small data are not talked about enough. This makes sense because many ML applications are only possible by collecting a huge amount of data. …
We introduce pico.js , a face-detection library written in JavaScript, and show how it works. Although similar projects already exist, our goal is to provide a smaller and computationally more efficient alternative.
In this post we take a look a how the mathematical idea of a convolution is used in probability. In probability a convolution is a way to add two random variables. Using a slightly ridiculous, mad-science, example we walk through multiple way to compute a convolution and ultimate arrive at the formu
An increasing number of the machine learning (ML) models we build at Apple each year are either partly or fully adopting the Transformer…
I finally was able to try it. And I can assure you it’s impossible to create professional and useful images from a text description.
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Posted by Richard C. Gerkin, Google Research, and Alexander B. Wiltschko, Google Did you ever try to measure a smell? …Until you can measure their ...
One Machine Learning algorithm that relies on the concepts of proximity and similarity is K-Nearest Neighbor (KNN). KNN is a supervised learning algorithm capable of performing both classification and regression tasks.
In our paper, published today in Nature, we introduce AlphaTensor, the first artificial intelligence (AI) system for discovering novel, efficient, and provably correct algorithms for fundamental tasks such as matrix multiplication. This sheds light on a 50-year-old open question in mathematics about finding the…
When the GitHub Copilot Technical Preview launched just over one year ago, we wanted to know one thing: Is this tool helping developers? The GitHub Next team conducted research using a combination of surveys and experiments, which led us to expected and unexpected answers.
We’re announcing that Meta AI has built and released BlenderBot 3, the first 175B parameter, publicly available chatbot complete with model weights, code, datasets, and model cards. We’ve deployed it in a live interactive conversational AI demo.
Does your child love to draw? Ever wished that characters in their drawings could “come to life” and move around the page? Using AI, we’ve developed automatic animation that can bring children’s one-of-a-kind characters to life!
We are excited to announce a new embedding model which is significantly more capable, cost effective, and simpler to use.
We introduce Flamingo, a single visual language model (VLM) that sets a new state of the art in few-shot learning on a wide range of open-ended multimodal tasks.
With an encoder-decoder architecture — rather than decoder only — the Alexa Teacher Model excels other large language models on few-shot tasks such as summarization and machine translation.
How a Few Activists Made ChatGPT Deny Basic Science
Before asking the question, how do I build AGI, you first must ask the question, what would I recognize as AGI?
