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DALL-E, the Metaverse, and Zero Marginal Content
Machine-learning generated content has major implications on the Metaverse, because it brings the marginal cost of production to zero.
New
The latest blog posts to take off on Hacker News. 301 posts.
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A few things to try with DALL·E
Lighting, perspective, variation chaining, and other tricks to try with DALL·E.
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Differentiable Programming – A Simple Introduction
What is Differentiable Programming, and how is it different from Deep Learning? Check out this introduction to learn everything you need to know!
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The next Google
DuckDuckGo and Bing are not true alternatives – they’re just worse versions of Google.
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Pathways Language Model (PaLM): Scaling to 540B parameters
Posted by Sharan Narang and Aakanksha Chowdhery, Software Engineers, Google Research In recent years, large neural networks trained for language un...
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Transformers for software engineers
Ever since its introduction in the 2017 paper, Attention is All You Need, the Transformer model architecture has taken the deep-learning world by storm. Initially introduced for machine translation, it has become the tool of choice for a wide range of domains, including text, audio, video, and others. Transformers…
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The singularity is close?
Or "Why we're all in denial about the robot apocalypse"
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The hunt for the M1’s neural engine
How can you tell when software uses the Neural Engine in an M1 series Mac? How much power does it use, and what is Espresso? Mysteries unravelled.
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GPT-3 can run code
Enter in code and inputs, GPT-3 will compute you the output!
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Open AI gets GPT-3 to work by hiring an army of humans to fix GPT’s bad answers
A few months ago, Smith wrote an AI-skeptical article where he threw some sentences at the GPT-3, a text processor from Open AI. As wikipedia puts it:
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It looks like you’re trying to take over the world
Fictional short story about Clippy & AI hard takeoff scenarios grounded in contemporary ML scaling, self-supervised learning, reinforcement learning, and meta-learning research literature.
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Nvidia Research Turns 2D Photos into 3D Scenes
Instant NeRF is a neural rendering model that learns a high-res 3D scene in seconds — and can render images of it in a few milliseconds.
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Deep learning on electronic medical records is doomed to fail
A few years ago, I worked on a project to investigate the potential of machine learning to transform healthcare through modeling electronic medical records. I walked away deeply disillusioned with the whole field and I really don’t think that the field needs machine learning right now. What it does need is plenty of…
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Building games through natural language using OpenAI’s code-DaVinci model
TL;DR: OpenAI has a new code generating model that’s improved in a number of ways and can handle nearly two times as much text (4,000 tokens.) I built several small games and applications without t…
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New Capabilities for GPT-3: Edit and Insert
We’ve released new versions of GPT-3 and Codex which can edit or insert content into existing text, rather than just completing existing text.
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Introduction to K-Means Clustering
Under unsupervised learning, all the objects in the same group (cluster) should be more similar to each other than to those in other clusters; data points from different clusters should be as different as possible. Clustering allows you to find and organize data into groups that have been formed organically, rather…
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Accurate Image Alignment and Registration Using OpenCV
The image alignment and registration pipeline takes two input images that contain the same scene from slightly different viewing angles. The picture above displays both input images side by side with the common scene (object) being the painting Las Meninas (1656) by Velázquez, currently at the Museo del Prado in…
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Why tensors? A beginner's perspective
Faizan Muhmmad is a Software Engineer at Google
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A 2030 Self-Driving Car Bet
It’s my honor to announce that John Carmack and I have initiated a friendly bet of $10,000* to the 501(c)(3) charity of the winner’s choice: By January 1st, 2030, completely autonomous self-driving cars meeting SAE J3016 level 5 will be commercially available for passenger
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MLOps is a mess but that's to be expected
I discuss the messy state of MLOps today and how we are still in the early phases of a broader transformation to bring machine learning value to enterprises globally.
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The Kalman filter: helping chickens cross the road
The Kalman Filter. Helping Chickens Cross the Road. David Austin Grand Valley State University I was running some errands recently when I spied the Chicken Robot ambling down the sidewalk, then vee…
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Machine Learning with PyTorch and Scikit-Learn
Machine Learning with PyTorch and Scikit-Learn has been a long time in the making, and I am excited to finally get to talk about the release of my new book…
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Using AI to bring children’s drawings to life (2021)
Does your child love to draw? Ever wished that characters in their drawings could “come to life” and move around the page? Using AI, we’ve developed automatic animation that can bring children’s one-of-a-kind characters to life!
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PyTorch on Apple M1 MAX GPUs with SHARK – faster than TensorFlow-Metal
A AMD oferece soluções de computação adaptativa e de alto desempenho de liderança para promover IA de data center, PCs com IA, dispositivos de borda inteligentes, jogos e muito mais.
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Machine learning is still too hard for software engineers
Machine Learning has made huge strides in the last few decades, but it remains largely inaccessible to the average developer. This post examines some of the reasons why.