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Robots Must Be Ephemeralized
There is a subfield of robotics research called “sim-to-real” (sim2real) whereby one attempts to solve a robotic task in simulation, and the...
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The latest blog posts to take off on Hacker News. 6,335 posts.
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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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Turing Oversold?
It is not the fault of Turing, though.
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YOLOv5 on CPUs: Sparsifying to Achieve GPU-Level Performance
From live events to hands-on product demos to deep technical research, see what we're doing with AI at Red Hat.
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Spice.ai – Open-source, time series AI for developers
Read blog posts about Spice.ai OSS from the team and community
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Product Quantization: Compressing high-dimensional vectors
Product quantization (PQ) is a popular method for dramatically compressing high-dimensional vectors to use 97% less memory, and for making nearest-neighbor search speeds 5.5x faster in our tests.
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AI movie posters
Guess the movie based on an AI’s visual interpretation of the plot.
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Tesla Project Dojo Overview
A couple of days back, Ganesh Venkataramanan, leader of the Tesla Dojo project, announced the Dojo machine learning training system. It’s an unusually network rich, power dense, and memory light design. I’ve summarized the architecture of the system below but I found three aspects of the system particularly…
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Machine learning’s crumbling foundations
Technological debt is insidious, a kind of socio-infrastructural subprime crisis that's unfolding around us in slow motion. Our digital infrastructure is built atop layers and layers and layers of code that's insecure due to a combination of bad practices and bad frameworks.
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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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Marc Andreessen on Investing and Tech
Transcript of interview on how tech changes the world
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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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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…
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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…