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Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,334 posts.
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Unmasking the Privacy Risks of Apple Intelligence
We reveal AppleStorm, our investigation into how Apple AI’s eco-system quietly transmits messages (WhatsApp, iMessage) sent via Siri to Apple servers, even when it isn’t needed to complete the task.
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Using neural networks to solve advanced mathematics equations
Facebook AI has developed the first neural network that uses symbolic reasoning to solve advanced mathematics problems.
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GPT-5.6 vs. Claude Fable 5 for Physical AI, which performs best?
We tested the latest frontier models in the Dyad agent on five modeling and simulation problems, comparing accuracy, cost, time, and work style.
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Augmenting LLMs Beyond Basic Text Completion and Transformation
Explore resources and tools created to inspire creativity, perform deep learning, and equip your company with Voice AI best practices.
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Reducing the Computational Cost of Deep Reinforcement Learning Research
Posted by Pablo Samuel Castro, Staff Software Engineer, Google Research It is widely accepted that the enormous growth of deep reinforcement learni...
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Pruning AI networks without impacting performance
The IBM Research blog is the home for stories told by the researchers, scientists, and engineers inventing What’s Next in science and technology.
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Machine Learning for Drummers
TL;DR: In this post, I build an app that classifies whether an audio sample is a kick drum, snare drum, or other drum sample with 87% accuracy using 🎉machine learning. 🎉
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Flowers for Turing
Alan Turing, the pioneering Computer Scientist and World War II codebreaker, has a statue in Sackville Gardens in Manchester. On 23rd June each year, we surround it with flowers in his memory for his birthday.
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Experiment with Gemini 2.0 Flash native image generation
Developers can now test experimental image output generation with Gemini 2.0 Flash via the Gemini API in Google AI Studio.
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Semantic Image Segmentation with DeepLab in Tensorflow
Posted by Liang-Chieh Chen and Yukun Zhu, Software Engineers, Google ResearchSemantic image segmentation, the task of assigning a semantic label, s...
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Using JAX, numpy, and optimization techniques to improve separable image filters
By the end of this blog post, we aim to improve the results of my previous blog post of approximating circular bokeh with a sum of 4 separable filters and reducing its artifacts (left) through an o…
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Cracking open the black box of automated machine learning
ATMSeer is an interactive visualization tool for users to see and control algorithms and hyperparameters of machine-learning (AutoML) systems. The work was developed by researchers in the MIT Laboratory for Information and Decision Systems (LIDS), Hong Kong University of Science and Technology (HKUST), and Zhejiang…
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Beginner's Guide to Attention Mechanisms and Memory Networks
SkyMind AI — humanoid robotics and the case for physical AI. Curated rather than complete: deliberate selection, checked content and clear structure…
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Raising Children on the Eve of AI
How do we prepare them for what we're not prepared for?
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AI Coding assistants provide little value because a programmer's job is to think
I've long had a fraught relationship with ToDo lists, because they're very much a double edged sword, but I'm convinced that much of the problem is t ...
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When Will AI Take Your Job?
Cristiano Ronaldo makes 100 times more money than Pelé did in his prime. If you understand why, you’ll know when to expect an AI to take your job.
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AI Is Useful for Capitalists but Probably Terrible for Anyone Else
AI is finally useful for business, and everyone is likely underestimating its impact. But unless AI is open-source and truly owned by the end users the future for everyone but the software providers looks grim.
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AI can't even fix a simple bug – but sure, let's fire engineers
Reddit discovered the funniest thing in tech this week, and it shows exactly how broken the AI narrative is. The newly released GitHub Copilot agent was given permission to make pull requests on Microsoft’s .NET runtime, and the results couldn’t be funnier. The AI confidently submitted broken code, while human…
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Generative AI hype peaking?
I have been a skeptic of some of the more breathless claims made for Generative AI since at least October 2023, when I participated in a panel organized by S...
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"Superintelligence" 10 years later
10 years on, some things have changed and some did not
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The AI war and how to win it
The battle for the future of the world
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Why Alexa won't wake up when hearing "Alexa" in Amazon's Super Bowl ad (2019)
This Sunday's Super Bowl between the New England Patriots and the Los Angeles Rams is expected to draw more than 100 million viewers, some of whom will have Alexa-enabled devices within range of their TV speakers. When Amazon's new Alexa ad airs, and Forest Whitaker asks his Alexa-enabled electric…