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Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 111 posts.
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First AI model that translates 100 languages without relying on English
Facebook AI is introducing M2M-100, the first multilingual machine translation model that can translate between any pair of 100 languages without relying on English data.
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Adventures in Improving AI Economics
AI has enormous potential to disrupt markets that have traditionally been out of reach for software. These markets – which have relied on humans to navigate natural language, images, and physical space – represent a huge opportunity, potentially worth trillions of dollars globally. However, as we discussed in our…
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Introduction to Reinforcement Learning (2015)
Build AI responsibly to benefit humanity
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Standardizing OpenAI’s deep learning framework on PyTorch
We are standardizing OpenAI’s deep learning framework on PyTorch.
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Online speech recognition with wav2letter anywhere
We have open-sourced wav2letter@anywhere, an inference framework for online speech recognition that delivers state-of-the-art performance.
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Ray Tracing Essentials, Part 1: Basics of Ray Tracing
Ray Tracing Essentials is a seven-part video series hosted by the editor of Ray Tracing Gems, NVIDIA’s Eric Haines.
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AI model detects asymptomatic Covid-19 infections through phone-recorded coughs
An artificial intelligence model can detect people who are asymptomatic with Covid-19, through cellphone-recorded coughs. The work was led by Brian Subirana and colleagues at the MIT Auto-ID Lab.
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SpaCy v3.0 Nightly
spaCy v3.0 is a huge release! It features new transformer-based pipelines that get spaCy's accuracy right up to the current state-of-the-art, and a new workflow system to help you take projects from prototype to production. It's much easier to configure and train your pipeline, and there are lots of new and improved…
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Traffic Prediction with Advanced Graph Neural Networks
By partnering with Google, DeepMind is able to bring the benefits of AI to billions of people all over the world. From reuniting a speech-impaired user with his original voice, to helping users discover personalised apps, we can apply breakthrough research to immediate real-world problems at a Google scale. Today…
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Microsoft Zero and DeepSpeed: Memory Efficient Large Neural Network Training
The latest trend in AI is that larger natural language models provide better accuracy; however, larger models are difficult to train because of cost, time, and ease of code integration. Microsoft is releasing an open-source library called DeepSpeed, which vastly advances large model training by improving scale, speed…
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Rethinking Attention with Performers
Posted by Krzysztof Choromanski and Lucy Colwell, Research Scientists, Google Research Transformer models have achieved state-of-the-art results ac...
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Bringing the Mona Lisa Effect to Life with Tensorflow.js
Urban legend says that Mona Lisa's eyes will follow you as you move around the room. This interactive digital portrait brings the phenomenon to life..
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Researchers unveil a pruning algorithm to shrink deep learning models
MIT researchers have proposed a technique for shrinking deep learning models that they say is simpler and produces more accurate results than state-of-the-art methods. It works by retraining the smaller, pruned model at its faster, initial learning rate.
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Mozilla Is Crowdsourcing Research into YouTube Recommendations
Mozilla has built a browser add-on that transforms YouTube users into YouTube watchdogs YouTube recommendations can be delightful, but they can also be…
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MuZero: Mastering Go, chess, shogi and Atari without rules
In 2016, we introduced AlphaGo, the first artificial intelligence (AI) program to defeat humans at the ancient game of Go. Two years later, its successor - AlphaZero - learned from scratch to master Go, chess and shogi. Now, in a paper in the journal Nature, we describe MuZero, a significant step forward in the…
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Understanding Convolutional Neural Networks
An interactive visualization system designed to help non-experts learn about Convolutional Neural Networks (CNNs).
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Creating ad hoc microphone arrays from personal devices (2019)
Researchers in the Microsoft Speech and Dialog Research Group have made an ad hoc microphone array by allowing meeting participants to join their phones together to enable more accurate meeting transcriptions. Explore how this array outperforms a single-device system.
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Graph Neural Networks – An Overview
How Neural Networks can be used in graph data
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Nvidia Announces A100 80GB GPU for AI
SC20—NVIDIA today unveiled the NVIDIA® A100 80GB GPU — the latest innovation powering the NVIDIA HGX™ AI supercomputing platform — with twice the memory of its predecessor, providing researchers and engineers unprecedented speed and performance to unlock the next wave of AI and scientific breakthroughs.
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The Rise of Synthetic Audio Deepfakes
Nisos Resources Library is full of interesting case studies, client success stories, infographics, videos and more. Click to see what we do.
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Unsupervised learning of probably symmetric deformable 3D objects from images
We propose a method to learn weakly symmetric deformable 3D object categories from raw single-view images, without ground-truth 3D, multiple views, 2D/3D keypoints, prior shape models or any other supervision.
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Towards a conversational agent that can chat about anything
Posted by Daniel Adiwardana, Senior Research Engineer, and Thang Luong, Senior Research Scientist, Google Research, Brain Team Modern conversatio...