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An Introduction to YOLO26
What YOLO26 is: NMS-free, edge-optimized YOLO with 43% faster CPU inference, benchmarks by size, licensing, and how it compares to RF-DETR.
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,336 posts.
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IA or AI?
I’ve been reading a paper [1] written two decades ago, which itself is an account of events two decades before that. It is Alan Kay nominally writing about the history of a programming langua…
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Combine GPTs with private knowledge for actually useful AIs
Custom GPTs by OpenAI are practically free new hires. But as as new hires go, most are not very useful.
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How we built the unbeatable Dota 2 bot
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Amazon Unveils New Alexa Dialog Modeling for Natural, Cross-Skill Conversations
Get the latest news and features about smart home, Alexa Built-in, and Alexa Gadgets.
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Reinforcement Learning at Facebook
If you ever wanted to learn about machine learning you could do worse than have Jason Gauci teach you. Jason has worked on YouTube recommendations. He was an early contributor to TensorFlow the open-source machine learning platform. His thesis work was cited by DeepMind. But what I find so fascinating with Jason is he…
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TADA: Speech generation through text-acoustic synchronization
TADA (Text-Acoustic Dual Alignment) is Hume AI's open-source speech-language model that synchronizes text and audio one-to-one.
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Engines of Evidence – A Conversation with Judea Pearl
In the early 1960s, every company had a huge investment in the future of computers. I fell into a device-oriented research group, wherein the goal was to find new phenomena that we could turn into computer memory. Magnetic core memories were already becoming a nuisance. Some people worked on photochromic phenomena…
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Research team demonstrates world’s fastest optical neuromorphic processor
An international team of researchers has demonstrated the world’s fastest and most powerful optical neuromorphic processor for artificial intelligence, which is capable of processing ultra-large scale data.
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Assessing Cardiovascular Risk Factors with Computer Vision
Posted by Lily Peng MD PhD, Product Manager, Google Brain Team Heart attacks, strokes and other cardiovascular (CV) diseases continue to be among ...
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Introducing AdaNet: Fast and Flexible AutoML with Learning Guarantees
Posted by Charles Weill, Software Engineer, Google AI, NYC Ensemble learning, the art of combining different machine learning (ML) model prediction...
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TensorFlow r1.4
TensorFlow release 1.4 is now public - and this is a big one! So we're happy to announce a number of new and exciting features we hope everyone will enjoy.
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Building agents using streaming SQL queries
Table of Contents Agents Need to Interact With LLMs Agents Should Be Event-Driven Agents Need Context Agents Require Memory When SQL Is Not Enough Parting Thoughts AI Agents have improved in leaps …
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Machine Learning in Rust
This post is aimed at readers who are familiar with Rust and want some insight into why it is great for machine learning.
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The State of Generative Models
In the face of disruptive technologies, moats created by closed source are temporary. Even OpenAI’s closed source approach can’t prevent others from catching up. So we anchor our value in our team — our colleagues grow through this process, accumulate know-how, and form an organization and culture capable of…
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Thinking about high-quality human data
[Special thank you to Ian Kivlichan for many useful pointers (E.g. the 100+ year old Nature paper “Vox populi”) and nice feedback. 🙏 ] High-quality data is the fuel for modern data deep learning model training. Most of the task-specific labeled data comes from human annotation, such as classification task or RLHF…
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Lean Eval for Alignment on Faithfulness
We turn intent into mathematics, verify every step formally, and make sure the machine does what it is supposed to.
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Faster Natural Language Processing in Python
How to take advantage of spaCy & a bit of Cython for blazing fast NLP
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We're not Platonists, we've just learned the bitter lesson
Machine Alignment Monday, 7/24/23
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Ilya Sutskever, Yann LeCun and the End of “Just Add GPUs”
When two of the most influential people in AI both say that today’s large language models are hitting their limits, it’s worth paying attention. In a recent…
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After AI takes everything
Prompted by letters from three engineers, the author asks what remains for humans as AI takes over execution, naming judgment, taste, and derivation as irreplaceable, and warns against the erosion of subjecthood.
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All the existential risk, none of the economic impact
I offer "no economic boost," you receive "P(doom)"
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Humanness in the Age of AI
A path to an open and permissionless identity protocol.