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New
The latest blog posts to take off on Hacker News. 6,335 posts.
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DeepMind: A Generalist Agent
Explore a selection of our recent research on some of the most complex and interesting challenges in AI.
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BERTopic: The Future of Topic Modeling
BERTopic takes advantage of the superior language capabilities of (not yet sentient) transformer models and uses some other ML magic like UMAP and HDBSCAN to produce what is one of the most advanced techniques in language topic modeling today.
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Cloud TPU VMs are generally available
Cloud TPU VMs with Ranking & Recommendation acceleration are generally available on Google Cloud. Customers will have direct access to TPU host machines.
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Recognize Digits Using ML in Elixir
Machine learning allows you to solve once unimaginable problem. Elixir's support for machine learning through Nx and Axon let us do impressive thing while staying in our favorite language.
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Jax vs. Julia (Vs PyTorch)
A while ago there was an interesting thread on the Julia Discourse about the “state of machine learning in Julia”. I posted a response discussing the differences between Julia and Python (both JAX and PyTorch), and it seemed to be really well received! Since then this topic seems to keep coming up, so I thought I’d…
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Learning to think critically about machine learning
Graduate students are helping to infuse ethical computing content into MIT’s largest machine learning course, as part of the Social and Ethical Responsibilities of Computing initiative.
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I built an open-source, AI-powered solar panel that's 95% optimal
This research demonstrates a model-free approach to optimize the energy produced by a dual-axis solar panel using reinforcement learning. Specifically, a softmax actor-critic agent optimizes energy production in a simulated, dynamic lighting environment which is generated from real power data. All s
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Tackling multiple tasks with a single visual language model
We introduce Flamingo, a single visual language model (VLM) that sets a new state of the art in few-shot learning on a wide range of open-ended multimodal tasks.
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An automatic theorem proving project
I am very happy to say that I have recently received a generous grant from the Astera Institute to set up a small group to work on automatic theorem proving, in the first instance for about three y…
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The Machine Learning Job Market
I was on the job market recently, open to suggestions on what I should do next. I'm deeply thankful to all those who reached out and pitched their companies, and also to people who shared their wisdom of how they wanted to navigate their own careers.
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Amazon releases 51-language dataset for language understanding
MASSIVE dataset and Massively Multilingual NLU (MMNLU-22) competition and workshop will help researchers scale natural-language-understanding technology to every language on Earth.
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How DALL-E 2 Works
How does OpenAI's groundbreaking DALL-E 2 model actually work? Check out this detailed guide to learn the ins and outs of DALL-E 2.
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Doing small network scientific machine learning in Julia faster than PyTorch
Doing small network scientific machine learning in Julia 5x faster than PyTorch ...
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K-Nearest Neighbors
One Machine Learning algorithm that relies on the concepts of proximity and similarity is K-Nearest Neighbor (KNN). KNN is a supervised learning algorithm capable of performing both classification and regression tasks.
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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.
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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.