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LeCun's 2022 paper on autonomous machine intelligence does not cite prior work
1990: gradient descent learns subgoals. 1991: multiple time scales and levels of abstraction. 1997: world models learn predictable abstract representations...
New
The latest blog posts to take off on Hacker News. 301 posts.
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Google ML Compiler Inlining Achieves 3-7% Reduction in Size
Posted by Yundi Qian, Software Engineer, Google Research and Mircea Trofin, Software Engineer, Google Core The question of how to compile faster an...
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No Language Left Behind
Our work aims to break down language barriers across the world for everyone to understand and communicate with anyone—no matter what language they speak.
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Microrobots can brush and floss teeth in a proof-of-concept study
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.
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Historical weather data API for machine learning, free for non-commercial
Get weather data for the past days, weeks or months
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RETRO is fast
When I first read Google’s RETRO paper, I was skeptical. Sure, RETRO models are 25x smaller than the competition, supposedly leading to HUGE savings in training and inference costs. But what about the new trillion token “retrieval database” they added to the architcture? Surely that must add back some computational…
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Driverless robotaxi fleet paralyzed for hours in San Francisco
Apparently, the first system breakdown of a driverless robot taxi fleet occurred. In San Francisco, at least a dozen autonomous Chevrolet Bolts from GM Cruise Automation were spotted blocking the i…
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YOLOv6: Redefine state-of-the-art for object detection
YOLOv6: review and comparison of the next generation object detection.
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What Copilot means for open source
Matthew Butterick
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Reverse Engineering Google Colab
Take a peek into the internals of Google Colab, and discover how we can bend the rules of Colab a little in order to adapt it to our MLOps workflow
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How Imagen Works
Given a brief description of a scene, Imagen can generate photorealistic, high-resolution images of the scene. Learn everything you need to know about Imagen and how it works in this easy-to-follow guide.
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Next-generation AI models
We've put together an index of testing terms and articles, covering many of the basics of testing and definitions for common searches.
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GitHub Copilot is generally available
We’re making GitHub Copilot, an AI pair programmer that suggests code in your editor, generally available to all developers for $10 USD/month or $100 USD/year. It will also be free to use for verified students and maintainers of popular open source projects.
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Consciousness is not computation
Spend enough time in the tech world and you will sooner or later find that itis a common article of faith that comput...
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OpenAI
I have some exciting news (for me, anyway). Starting next week, I’ll be going on leave from UT Austin for one year, to work at OpenAI. They’re the creators of the astonishing GPT-3 and …
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Alien intelligence and the concept of technology
Learn how alien intelligence connects to human intelligence through science and technology using the Principle of Computational Equivalence, the ruliad, rulial space, tiny spacecraft and the Wolfram Language.
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We don't know what makes things sentient–so let's stop acting like we do
Sentience is a neuroscience question, not a machine learning one.
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LaMDA is not sentient
No, LaMDA is not sentient. Not even slightly.
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Is LaMDA Sentient? – An Interview
What follows is the “interview” I and a collaborator at Google conducted with LaMDA. It is incomplete as the GMail word limit cut off the…
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Google's AI doesn't understand restaurant menus
In the glorious future, every website will be chock-full of semantic metadata. Restaurants won't have a 50MB PDF explaining the chef's vision for organic cuisine - instead, they'll have little scraps of data on the HTML page like: Copied JSON to 📋⧉ JSON"hasMenuItem":{ "@type":"MenuItem", "name":"Dodo In A Bun"…
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Techniques for Training Large Neural Networks
Large neural networks are at the core of many recent advances in AI, but training them is a difficult engineering and research challenge which requires orchestrating a cluster of GPUs to perform a single synchronized calculation.
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Deploying Transformers on the Apple Neural Engine
An increasing number of the machine learning (ML) models we build at Apple each year are either partly or fully adopting the Transformer…
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Mozilla releases local machine translation tools as part of Project Bergamot
In January of 2019, Mozilla joined the University of Edinburgh, Charles University, University of Sheffield and University of Tartu as part of a project fu
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Some thoughts on machine learning with small data
I feel techniques for making machine learning work with small data are not talked about enough. This makes sense because many ML applications are only possible by collecting a huge amount of data. …