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Hash: A free, online platform for modeling
Sometimes simulating complex systems is the best way to understand them.
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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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The Case for Bayesian Deep Learning
The Case for Bayesian Deep Learning Andrew Gordon Wilson Abstract Bayesian inference is especially compelling for deep neural networks. The key distinguishing property of a Bayesian approach is margin
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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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VSCode on Google Colab
Learn how to setup and use VSCode as an IDE on Google Colab and Kaggle.
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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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Building My Own Chess Engine
Exploring the computational complexity of chess. Code snippets in Python so you can do the same.
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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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What is GPT-3? written in layman's terms
Daily, snackable writings to spur changes in thinking. Building a blueprint for a better brain by tinkering with the code.
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Graph Neural Networks – An Overview
How Neural Networks can be used in graph data
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Why Bayesian Stats Needs Monte-Carlo Methods
Bayesian statistics rely heavily on Monte-Carlo methods. A common question that arises is “isn’t there an easier, analytical solution?” This post explores a bit more why this is by breaking down the analysis of a Bayesian A/B test and showing how tricky the analytical path is and exploring more of t
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Linear Regression
From zero to linear regression
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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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A complete 4-year course plan for an AI undergraduate degree
I describe in-depth the courses necessary for a 4-year undergraduate degree in artificial intelligence, assuming you step onto campus tomorrow.
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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...
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On moving from statistics to machine learning, the final stage of grief (2019)
I’ve spent the last few months preparing for and applying for data science jobs. It’s possible the data science world may reject me and my lack of both experience and a credential above…
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I asked GPT-3 to make a presentation for me
Here's what it came up with, read by yours truly.
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Machine Learning Engineer Guide: Feature Store vs. Data Warehouse
The feature store is a data warehouse of features for machine learning (ML)....
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ACM Prize in Computing Awarded to AlphaGo Developer
Silver, a professor at University College London and Principal Research Scientist at DeepMind, is recognized as a central figure in the growing and impactful area of deep reinforcement learning, leading the team that developed AlphaGo.
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A new model and dataset for long-range memory
Throughout our lives, we build up memories that are retained over a diverse array of timescales, from minutes to months to years to decades. When reading a book, we can recall characters who were introduced many chapters ago, or in an earlier book in a series, and reason about their motivations and likely actions in…
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Accelerating TensorFlow Performance on Mac
Accelerating TensorFlow 2 performance on Mac
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