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The most popular blog posts about ai & machine learning on Hacker News. 147 posts.
Text to speech (TTS) has made rapid progress in both academia and industry in recent years. Some questions naturally arise that whether a TTS system can achieve human-level quality, how to define/judge that quality and how to achieve it. In this paper, we answer these questions by first defining the human-level…
This AI audio filter improves spoken audio to make it sound like it was recorded in a soundproofed studio.
Last year, Google released their “GoEmotions” dataset: a human-labeled dataset of 58K Reddit comments categorized according to 27 emotions. The problem? A whopping 30% of the dataset is mislabeled! Check out some of the egregious errors, and learn how to build better datasets.30% of Google's Emotions Dataset is…
CS educators: AI-based developer tools are gunning for your assignments. Resistance is futile GitHub’s AI-based Copilot tool went public this summer. It’s an amazing tool for software developers. B…
For a while now Jitsi Meet has been using the RNNoise library to calculate voice audio detection scores for audio input tracks and leveraging those to implement functionality such as “talk while muted” and “noisy […]
Game-playing artificial intelligence (AI) systems have advanced to a new frontier. Stratego, the classic board game that’s more complex than chess and Go, and craftier than poker, has now been mastered. Published in Science, we present DeepNash, an AI agent that learned the game from scratch to a human expert level by…
In a proof-of-concept study, researchers from the School of Dental Medicine and School of Engineering and Applied Science shows that a hands-free system could effectively automate the treatment and removal of tooth-decay-causing bacteria and dental plaque.
Researchers from the University of Illinois developed GPU-accelerated software to simulate a cell that metabolizes and grows like a living cell.
When OpenAI announced GPT-3 & its public beta I was fascinated but didn’t have an API key. I played with everything free that was built with GPT-3. Naturally, when I heard about GitHub Copilot I signed up for the waitlist and a few months later, I got access!
Pixelmator Pro is a powerful, easy-to-use image editor that brings professional tools and powerful AI features to everyone across Mac and iPad.
Bunny.net introduces Bunny AI, a multi-model image engine creating images via simple URLs. Powered by OpenAI and StabilityAI, Bunny AI generates dynamic profile avatars and more. Try it free in our experimental release and help us shape the future of internet performance!
A huge milestone towards Elixir and Machine Learning has been reached with the release of Nx v0.1
AI has moved at an incredible pace in the last few years. Scaling up Transformers has led to remarkable capabilities in language (e.g., GPT-3, PaLM, Chinchilla), code (e.g., Codex, AlphaCode), and image generation (e.g., DALL-E, Imagen).
Under unsupervised learning, all the objects in the same group (cluster) should be more similar to each other than to those in other clusters; data points from different clusters should be as different as possible. Clustering allows you to find and organize data into groups that have been formed organically, rather…
Bumble has made an open-source version of our Private Detector™ A.I. technology available on GitHub.
How does OpenAI's groundbreaking DALL-E 2 model actually work? Check out this detailed guide to learn the ins and outs of DALL-E 2.
Machine learning is a subfield of artificial intelligence (AI) and computer science that focuses on using data and algorithms to mimic the way people learn, progressively improving its accuracy. This way, Machine Learning is one of the most interesting methods in Computer Science these days, and it'
Neuroscientists often use neural networks to model the kind of tasks the brain performs, in hopes that the models could suggest new hypotheses regarding how the brain itself performs those tasks. But a group of MIT researchers urges that more caution should be taken when interpreting these models.
Posted by Sharan Narang and Aakanksha Chowdhery, Software Engineers, Google Research In recent years, large neural networks trained for language un...
We've put together an index of testing terms and articles, covering many of the basics of testing and definitions for common searches.
Why can't Meta A/B test its way back to greatness? To move Instagram beyond short-term engagement metrics, we ran a personalized human evaluation asking 100 users to compare TikTok vs. Instagram Reels. Learn why Gen Z considers Reels the place where TikToks go to die, and what Instagram should do about it.
