Hash: A free, online platform for modeling
Sometimes simulating complex systems is the best way to understand them.
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 212 posts.
Sometimes simulating complex systems is the best way to understand them.
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.
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
Mozilla has built a browser add-on that transforms YouTube users into YouTube watchdogs YouTube recommendations can be delightful, but they can also be…
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…
Learn how to setup and use VSCode as an IDE on Google Colab and Kaggle.
An interactive visualization system designed to help non-experts learn about Convolutional Neural Networks (CNNs).
Exploring the computational complexity of chess. Code snippets in Python so you can do the same.
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.
Daily, snackable writings to spur changes in thinking. Building a blueprint for a better brain by tinkering with the code.
How Neural Networks can be used in graph data
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
From zero to linear regression
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.
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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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.
Posted by Daniel Adiwardana, Senior Research Engineer, and Thang Luong, Senior Research Scientist, Google Research, Brain Team Modern conversatio...
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…
Here's what it came up with, read by yours truly.
The feature store is a data warehouse of features for machine learning (ML)....
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.
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…
Accelerating TensorFlow 2 performance on Mac