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Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,326 posts.
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MetNet-3: A state-of-the-art neural weather model
Posted by Samier Merchant, Google Research, and Nal Kalchbrenner, Google DeepMind Forecasting weather variables such as precipitation, temperature,...
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Facebook's Top Open Data Problems
At Meta, research permeates everything we do. We believe the most interesting research questions are derived from real world problems.
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Gorgonia: a library like Theano or TensorFlow, mainly written in Go
I released Gorgonia on Thursday. Gorgonia is a library like Theano or TensorFlow, but mainly written in Go. It provides the necessary primitives for creating and executing neural networks and machine learning algorithms. According to cloc, these are the stats…
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Advocating for Open Models in AI Oversight: Stability AI's Letter to U.S. Senate
Stability AI emphasizes the importance of open models in a letter coinciding with the United States Senate hearing on AI oversight. Openness and transparency will improve safety, foster competition, and ensure strategic leadership in critical AI capabilities. Discover how open models can democratize
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Exact binary vector search for RAG in 100 lines of Julia
Thanks for HN users mik1998 and borodi who brought up the popcnt instruction and the count_ones function in Julia which carries this out, I've updated the timings and it's even faster now.
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Object detection: an overview in the age of Deep Learning
This guide provides an overview of practical Object Detection applications, its main challenges as a Machine Learning problem and how Deep Learning has changed the way to tackle it.
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Keras 1.0 – Python deep learning framework
Keras was initially released a year ago, late March 2015. It has made tremendous progress since, both on the development front, and as a community.
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I'm glad the Anthropic fight is happening now
“Preface to the highest stakes negotiations in history.”
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GitHub Copilot isn't worth the risk
Copilot may be a glimpse into the future of AI, but it comes with a lot of legal and security baggage.
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Correcting the record for Continue and PearAI
YC is at our best when backing founders with an ethos of building for others, including strong open source developers like the founders of Continue [https://continue.dev] and many others. Earlier this week, a startup in the current batch, PearAI, was criticized online for an inappropriate approach to open source…
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Nvidia Launches Vera CPU, Purpose-Built for Agentic AI
NVIDIA today launched the NVIDIA Vera CPU, the world’s first processor purpose-built for the age of agentic AI and reinforcement learning — delivering results with twice the efficiency and 50% faster than traditional rack-scale CPUs.
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ChatGPT for Robotics
We use ChatGPT to allow a user to intuitively control multiple robots such as drones, robot arms, home assistant robots using only language.
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Aiter: AI Tensor Engine for ROCm
We introduce AMD's AI Tensor Engine for ROCm (AITER), our centralized high performance AI operators repository, designed to significantly accelerate AI workloads on AMD GPUs
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Agentic coding notes
I've been using AI fairly heavily since last November and the whole thing is a funny experience . An agent will do something that, if a human did it, you'd immediately fire them. My reaction, of course, is to act as if this is great and spin up a thousand agents so they can do even more of that.
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Self-supervised learning: The dark matter of intelligence
How can we build machines with human-level intelligence? There’s a limit to how far the field of AI can go with supervised learning alone. Here's why self-supervised learning is one of the most promising ways to make significant progress in AI.
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SVDQuant: 4-Bit Quantization Powers 12B Flux on a 16GB 4090 GPU with 3x Speedup
A new post-training training quantization paradigm for diffusion models, which quantize both the weights and activations of FLUX.1 to 4 bits, achieving 3.5× memory and 8.7× latency reduction on a 16GB laptop 4090 GPU. Code: https://www.github.com/mit-han-lab/nunchaku
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Exploring Weight Agnostic Neural Networks
Posted by Adam Gaier, Student Researcher and David Ha, Staff Research Scientist, Google Research, Tokyo When training a neural network to accompl...
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Sarvam 105B, the first competitive Indian open source LLM
Sarvam open-sources 30B and 105B reasoning models trained in India: MoE LLMs with leading Indian-language benchmarks; weights on AI Kosh and Hugging Face.
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Amazon Polly – Text to Speech in 47 Voices and 24 Languages
As I was getting ready to write this post, I thought back to my childhood (largely spent watching TV) and some of the popular computer and robot voices of the 1960’s and 1970’s. In just a few minutes, pleasant memories of HAL-9000, B9 (Lost in Space), the original Star Trek Computer, and Rosie (from The […]
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Notes on the new Claude analysis JavaScript code execution tool
Anthropic released a new feature for their Claude.ai consumer-facing chat bot interface today which they’re calling “the analysis tool”. It’s their answer to OpenAI’s ChatGPT Code Interpreter mode: Claude can …
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Principal component analysis: pictures, code and proofs (2018)
The code used to generate the plots for this post can be found here.
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Interactive GPU Programming, Part 1: Hello CUDA
Today, fast number crunching means parallel programs that run on Graphical Processing Units (GPUs). Thanks to the recent highly publicized deep learning and ...
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A comparison to Waymo’s auto liability insurance claims at 25M miles
Understanding the safety impact of Automated Driving Systems (ADS) is crucial for their widespread adoption, yet robust real-world evaluation remains a critical area of development. By leveraging insurance industry third-party auto liability claims, we analyze the Waymo ADS performance across 25.3 million fully…
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Political bias in AI: Where the AI models stand
Political bias in AI measures where every major AI model stands on charged political and ethical questions: run many times, no web search, plotted with error...
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Grit: Rewriting Git in Rust with agents
We used agents to port all of Git to library-first, memory-safe Rust and it passes the entire C Git test suite.