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Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 185 posts.
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Leonardo, the Bipedal Robot, Can Ride a Skateboard and Walk a Slackline
Researchers at Caltech have built a bipedal robot that combines walking with flying to create a new type of locomotion, making it exceptionally nimble and capable of complex movements.
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OpenCV AI Competition 2021 Highlights and Team Profiles Part 1
If social media is any indication, OpenCV AI Competition 2021 participants have really hit the ground running. The competition, sponsored by Microsoft Azure and Intel, features over 1000 developers on over 200 Phase 1 winning teams worldwide and our feeds are already buzzing with awesome videos and photos as teams…
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Megatron-Turing NLG 530B, the World’s Largest Generative Language Model
MT-NLG has 3x the number of parameters compared to the existing largest model of this type and demonstrates unmatched accuracy in a broad set of natural language tasks.
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Mike Levin on using bioelectricity to study how cells form (2019)
By Lindsay Brownell At first glance, the lab of Wyss Associate Faculty member Mike Levin looks like any standard biology lab: graduate students in white lab coats pipette liquids into tubes at benches surrounded by centrifuges, freezers, racks of graduated cylinders hanging over sinks, and shelves of petri dishes…
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Probably Approximately Correct – A Formal Theory of Learning (2014)
In tackling machine learning (and computer science in general) we face some deep philosophical questions. Questions like, “What does it mean to learn?” and, “Can a computer learn?” and, “How do you define simplicity?” and, “Why does Occam’s Razor work? (Why do simple hypotheses do well at modelling reality?)” In a…
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PID Controller: A Simple Control Loop Mechanism
A mid-depth cap with classic style for any occasion, this Nike Club Cap comes in smooth cotton twill that's been softly washed for casual, daily comfort. Soft and unstructured, the precurved bill makes for easy styling, and the adjustable back-strap lets you find the right fit. Nike Hat Size 6 1/2 6 5/8 6 3/4 6 7/8 7…
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Proofs Should Repair Themselves
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Decentralised content moderation
With Donald Trump suspended from Twitter and Facebook, and Parler kicked off AWS, there is renewed discussion about what sort of speech is acceptable online, and how it should be enforced. Let me say up front that I believe that these bans were justified. However, they do raise questions that need to be discussed…
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Using aligned word vectors for instant translations with Python and Rust
How to use aligned word vectors from fastText to translate words from one language to another instantly.
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Comma.ai, self-driving cars and indefinite optimism
comma.ai gets punished for being open, so why would anyone even bother?
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GeoGuessing with Deep Learning
Applying photo geolocation estimation to the game of GeoGuessr.
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Potemkin Data Science (2020)
Huge swathes of people, in Europe and North America in particular, spend their entire working lives performing tasks they secretly believe…
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Do wide and deep networks learn the same things?
Posted by Thao Nguyen, AI Resident, Google Research A common practice to improve a neural network’s performance and tailor it to available computat...
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Using GPT-3 for plain language incident root cause from logs
Skylar Advisor combines real-time observability data, rich operational context, and customer-owned knowledge to deliver explainable AI guidance for IT operations.
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Text Classification by Data Compression
Edit – I posted this on Hackernews and got some valuable feedback. Many brought up the fact that you should be able to reuse the internal state of the compressor instead of recompressing the training …
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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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Robots Must Be Ephemeralized
There is a subfield of robotics research called “sim-to-real” (sim2real) whereby one attempts to solve a robotic task in simulation, and the...
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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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GPT-3 vs. 3M free-text trivia responses
A machine learning AI-esque robot challenges off on 156 trivia questions against tens of thousands of Water Cooler Trivia participants.
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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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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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