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New
The latest blog posts to take off on Hacker News. 3,242 posts.
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ImageNet contains naturally occurring Apple NeuralHash collisions
Apple’s NeuralHash: real-world collisions, false positives, and implications for CSAM detection. See what this means for system reliability.
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Atlas robot does parkour
By training Atlas to maneuver its way through complex parkour courses, our engineers push the humanoid robot to its limits.
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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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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.
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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.
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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…
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Introduction to Convolutional Neural Networks
This beginner guide will help you understand how convolution neural networks (CNNs) work and what they are useful for.
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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.
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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.
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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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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.
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New algorithm flies drones faster than human racing pilots
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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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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...
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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…
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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…
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EleutherAI One Year Retrospective
A look back at the first year of EleutherAI.
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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.
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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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AI Explorables: big ideas in machine learning, simply explained
People + AI Research (PAIR) is a multidisciplinary team at Google that explores the human side of AI.
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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.
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Advancing AI theory with first-principles understanding of deep neural networks
Deep neural networks have long been considered too complex to understand from first principles — but new research does just that, presenting a theoretical framework for DNNs.
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Cuda.jl v3.3: union types, debug info, graph APIs
There have been several releases of CUDA.jl in the past couple of months, with many bugfixes and many exciting new features to improve GPU programming in Julia: CuArray now supports isbits Unions, CUDA.jl can emit debug info for use with NVIDIA tools, and changes to the compiler make it even easier to use the latest…