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Introduction to GPU Programming in Chapel
This post gives a beginner’s introduction to Chapel’s GPU programming features
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,242 posts.
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Amazon Transcribe Streaming Now Supports WebSockets
I love services like Amazon Transcribe. They are the kind of just-futuristic-enough technology that excites my imagination the same way that magic does. It’s incredible that we have accurate, automatic speech recognition for a variety of languages and accents, in real-time. There are so many use-cases, and nearly all…
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Can optical illusions fool AI too?
Deep neural networks (DNN) have made the news recently for their application as a predictive software used to create convincing fake videos of politicians and celebrities. You may not be aware, however, that you have most likely already used the same technology in a much less controversial form: the translation app on…
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Deep Learning Illustrated: Building Natural Language Processing Models
A hands-on guide to natural language processing with Keras. Covers word2vec, sentiment classification, CNNs, RNNs, and LSTMs using the IMDb dataset in Python.
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Try Bard and share your feedback
Bard is an early experiment from Google that lets you collaborate with generative AI. If you’re in the U.S. and U.K., you can sign up to try it.
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Evolving Reinforcement Learning Algorithms
Posted by John D. Co-Reyes, Research Intern and Yingjie Miao, Senior Software Engineer, Google Research A long-term, overarching goal of research i...
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OpenAI and journalism
We support journalism, partner with news organizations, and believe The New York Times lawsuit is without merit.
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Generative AI's Act Two
One year ago, we published a hypothesis that generative AI would become a profound platform shift in technology. Then came the firestorm.
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Squawk bots: Can generative AI lead us to understanding animals?
The Earth Species Project is using large language models to develop tools to decipher animal communication.
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General principles for the use of AI at CERN
This content is currently in the process of being archived and integrated into the CERN Library collections.
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Anonymous credentials: rate-limit bots and agents without compromising privacy
As AI agents change how the Internet is used, they create a challenge for security. We explore how Anonymous Credentials can rate limit agent traffic and block abuse without tracking users or compromising their privacy.
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Yes, Claude can do nine loops
Claude computes a nine-loop amplitude in N=4 super-Yang-Mills
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5 Things to Try with Gemini 3 Pro in Gemini CLI
Unlock state-of-the-art coding and reasoning in your terminal. Gemini 3 Pro is now in Gemini CLI for Google AI Ultra and paid API subscribers.
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Object-recognition dataset stumped the world’s best computer vision models
When computer vision detectors are turned loose in the real world, their performance noticeably drops. In an effort to close this performance gap, a team of MIT and IBM researchers set out to create a very different kind of object-recognition dataset called ObjectNet.
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Shapelearn Qwen 3.8 27B (13.1 GB VRAM)
ByteShape's full ShapeLearn release of Qwen 3.8 27B: five GGUF models on the quality-speed frontier across six GPUs. GPU-5 is the default wherever it fits, at 99.63% of BF16. GPU-4 stays very competitive in a much smaller file.
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Signal processing is key to embedded machine learning
When we hear about ML - whether it’s about machines learning to play Go or computers generating plausible human language - we often think about deep learning.
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Red queen hypothesis – A new way forward for self-improving AI
At a time when there's widespread interest in self-improving AI, researchers here have tackled one of the central challenges affecting its development by using an approach adapted from evolutionary biology.
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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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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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TorchLean: Formalizing Neural Networks in Lean
Neural networks are increasingly deployed through software stacks whose behavior is defined by tensor layouts, preprocessing choices, compiler boundaries, floating-point arithmetic, GPU kernels, and external model exporters. TorchLean is a Lean 4 codebase for neural network specification, execution, and verification…
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Boston Dynamics' Handle Robot Recreated with Raspberry Pi
Maker Harry was inspired by Handle, Boston Dynamics' research robot, yo build his own mini version named MABEL.