61
SoundStream: An End-to-End Neural Audio Codec
Posted by Neil Zeghidour, Research Scientist and Marco Tagliasacchi, Staff Research Scientist, Google Research Audio codecs are used to efficiently...
New
The latest blog posts to take off on Hacker News. 185 posts.
62
Intro to Deep Learning
I just sat down this morning and organized all deep learning related videos I recorded in 2021. I am sure this will be a useful reference for my future…
63
64
Nearest neighbor indexes for similarity search
Vector similarity search is a game-changer in the world of search. It allows us to efficiently search a huge range of media, from GIFs to articles — with incredible accuracy in sub-second timescales for billion+ size datasets.
65
OpenAI Codex
We’ve created an improved version of OpenAI Codex, our AI system that translates natural language to code, and we are releasing it through our API in private beta starting today.
66
67
68
Mozilla Common Voice Adds 16 New Languages and 4,600 New Hours of Speech
The Mozilla Common Voice initiative has released a new, expanded data set featuring 16 new languages — like Basaa and Kazakh — and 4,622 new hours of sp…
69
Introduction to Convolutional Neural Networks
This beginner guide will help you understand how convolution neural networks (CNNs) work and what they are useful for.
70
Google Tensor SoC debuts on the new Pixel 6 this fall
Google Tensor is our first custom-built SoC specifically for Pixel phones, and it will power the Pixel 6 and Pixel 6 Pro later this fall.
71
72
Triton: Open-Source GPU Programming for Neural Networks
We’re releasing Triton 1.0, an open-source Python-like programming language which enables researchers with no CUDA experience to write highly efficient GPU code—most of the time on par with what an expert would be able to produce.
73
Generally capable agents emerge from open-ended play
In recent years, artificial intelligence agents have succeeded in a range of complex game environments. For instance, AlphaZero beat world-champion programs in chess, shogi, and Go after starting out with knowing no more than the basic rules of how to play. Through reinforcement learning (RL), this single system…
74
It’s not a self-driving car unless you can sleep in it
GROUND TRUTH is an inside look at the development and deployment of self-driving technology, from the simulation labs to city streets.
75
Simulating worlds on the GPU: Four billion years in four minutes
This post delves into the implementation of my procedural earth simulation, written entirely in GLSL fragment shaders. It simulates the complete history of an earth-like planet in a few minutes, with the simulation updating at 60 frames per second.
76
New algorithm flies drones faster than human racing pilots
Das Team Media Relations steht Journalistinnen und Journalisten gerne zur Verfügung. Suchen Sie unsere Expertinnen und Experten direkt, finden Sie Bilder der UZH und Medienberichte oder kontaktieren Sie Ihre Medien-Ansprechpartner.
77
Useful algorithms that are not optimized by Jax, PyTorch, or TensorFlow
In some previous blog posts we described in details how one can generalize automatic differentiation to give automatically stability enhancements and all sorts of other niceties by incorporating graph transformations into code generation. However, one of the things which we didn’t go into too much is the limitation of…
78
AlphaFold 2 is here: what’s behind the structure prediction miracle
Nature has now released that AlphaFold 2 paper , after eight long months of waiting. The main text reports more or less what we have known for nearly a year, with some added tidbits, although it is accompanied by a painstaking description of the architecture in the supplementary information . Perhaps more importantly…
79
80
81
GitHub Copilot: First Impressions
A glimpse of the upcoming paradigm shift in how we do development
82
Reducing the Computational Cost of Deep Reinforcement Learning Research
Posted by Pablo Samuel Castro, Staff Software Engineer, Google Research It is widely accepted that the enormous growth of deep reinforcement learni...
83
Mike Levin on using bioelectricity to study how cells form (2019)
By Lindsay Brownell At first glance, the lab of Wyss Associate Faculty member Mike Levin looks like any standard biology lab: graduate students in white lab coats pipette liquids into tubes at benches surrounded by centrifuges, freezers, racks of graduated cylinders hanging over sinks, and shelves of petri dishes…
84
The art of asking nicely
There are upsides to working with a neural net that trained on a huge collection of internet images and text. One is that, instead of ominous grey geometric blobs [https://aiweirdness.com/post/177091486527/this-ai-is-bad-at-drawing-but-will-try-anyways] when it doesn't understand your
85
What Are Diffusion Models?
<meta http-equiv=
86
Gaussian Processes from Scratch (2019)
This post explores some concepts behind Gaussian processes, such as stochastic processes and the kernel function. We will build up deeper understanding of Gaussian process regression by implementing them from scratch using Python and NumPy.
87
What DeepMind’s AlphaFold 2 really achieved (2020)
Disclaimer: this post is an opinion piece based on the experience and opinions derived from attending the CASP14 conference as a doctoral student researching protein modelling. When provided, quotes have been extracted from my notes of the event, and while I hope to have captured them as accurately as possible, I…
88
EleutherAI One Year Retrospective
A look back at the first year of EleutherAI.
89
Ideas in statistics that have powered AI
Andrew Gelman, a statistics professor at Columbia, and Aki Vehtari, a computer science professor at Finland’s Aalto University, recently published a list of the most important statistical ideas in the last 50 years. Here, they break it down in easy-to-understand terms.
90
YouTube algorithm recommends videos that violate its own policies: study
Conducted using data donated by thousands of YouTube users, research reveals the algorithm is recommending videos with misinformation, violent content, …