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Alien Dreams: An Emerging Art Scene
Machine Learning at Berkeley is a student organization at UC Berkeley. Click to read ML@B Blog, by Machine Learning at Berkeley, a Substack publication with thousands of subscribers.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 185 posts.
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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...
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Is my cat Turing-complete?
This article is an adaptation of a Lightning Talk I gave at CppCon2021. Link here : https://www.youtube.com/watch?v=RtqTGSOdmBo
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LaMDA: Google's New Conversation Technology
LaMDA adds pieces to one of the most tantalizing sections of the language puzzle: conversation.
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AI movie posters
Guess the movie based on an AI’s visual interpretation of the plot.
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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…
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Ancient secrets of computer vision
This class is a general introduction to computer vision. It covers standard techniques in image processing like filtering, edge detection, stereo, flow, etc. (old-school vision), as well as newer, machine-learning based computer vision. It was originally offered in the spring of 2018 at the University of Washington .
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Learning Machine Learning for Game Development
Posted by Ji Hun Kim and Richard Wu, Software Engineers, Stadia Over the years, online multiplayer games have exploded in popularity, captivating m...
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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, …
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A common mistake when NumPy’s RNG with PyTorch
A bug that plagues thousands of open-source ML projects.
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MUM: A new AI milestone for understanding information
Our latest AI milestone, Multitask Unified Model, has the potential to take Google’s information understanding to a new level.
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On YouTube’s recommendation system
How YouTube's recommendation system works: Understand how videos are suggested and how to optimize your content for discovery.
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Replicating GPT-2 at Home
How I (almost) replicated OpenAI’s GPT-2 (124M version)
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Yann LeCun Deep Learning Course 2021
Most of the lectures, labs, and notebooks are similar to the previous edition, nevertheless, some are brand new. I will try to make clear which is which.
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Gemini's "uselessness" is its killer feature
So it’s borderline useless for all but the simplest use cases, and even there it does a very subpar job. I’d like to have an inline image every now and then, or organize things in some multi-column layouts or the like, or a table. 19th century newspapers could do this, and if your technology can’t emulate typography…
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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…
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Self-parking Car in 500 Lines of Code
Training the car to do self-parking using a genetic algorithm
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Using computer vision to help win $1M in Mountain Dew's Super Bowl contest
SUMMARY Mountain Dew's Super Bowl LV ad challenged viewers to count the exact number of bottles in the commercial for a $1 million prize, and this post builds an object detection model to assist with that count. The 30-second video was sampled at three frames per second in Roboflow to produce 92 annotated training…
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Trade-Offs in Automatic Differentiation: TensorFlow, PyTorch, Jax, and Julia
To understand the differences between automatic differentiation libraries, let’s talk about the engineering trade-offs that were made. I would personally say that none of these libraries are “better” than another, they simply all make engineering trade-offs based on the domains and use cases they were aiming to…
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Grok {Shan, Shui}*: Advent of understanding the generative art
I spent 24 days digging into the code of {Shan, Shui}* Chinese painting generator and lived to tell the story.
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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…