Introduction to Reinforcement Learning (2015)
Build AI responsibly to benefit humanity
The latest blog posts to take off on Hacker News. 212 posts.
Build AI responsibly to benefit humanity
The BAIR Blog
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…
Interactive C++ for Data Science In our previous blog post “Interactive C++ with Cling” we mentioned that exploratory programming is an effective way to reduce the complexity of the problem. This post will discuss some applications of Cling developed to support data science researchers.
Exploring the computational complexity of chess. Code snippets in Python so you can do the same.
A complete guide to building end-to-end machine learning pipelines, from training to deployment, with Metaflow and Cortex
Building a simple neural net in Java.
I get confused with tensor computation libraries (or computational graph libraries, or symbolic algebra libraries, or whatever they’re marketing themselves as these days). I was first introduced to PyTorch and TensorFlow and, having no other reference, thought they were prototypical examples of tensor computation…
The past week was a momentous occasion for protein structure prediction, structural biology at large, and in due time, may prove to be so for the whole of life sciences. CASP14, the conference for …
[What follows are my thoughts on some recent research in machine learning privacy. These are my thoughts, and do not represent those of others.]
A blog by Sam Greydanus
Update (12/5): The Google team, along with Gil Kalai, have raised questions about whether the results of the new BosonSampling experiment might be easier to spoof classically than the USTC team tho…
AlphaFold from Google DeepMind is said to solve the protein folding problem. What is that, and why is it hard?
Proteins are essential to life, supporting practically all its functions. They are large complex molecules, made up of chains of amino acids, and what a protein does largely depends on its unique 3D structure. Figuring out what shapes proteins fold into is known as the “protein-folding problem”, and has stood as a…
Can GPT-3 compute the ultimate question about life, the Universe and everything?
Machine learning is a trendy topic, so naturally it’s often used for inappropriate purposes where a simpler, more efficient, and more reliable solution suffices. The other day I saw an illustrative and fun example of this: Neural Network Cars and Genetic Algorithms . The video demonstrates 2D cars driven by a neural…
Posted by Andeep Singh Toor, Stadia Software Engineer and Fred Bertsch, Software Engineer, Google Research, Brain Team Creating art for digital vid...
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.
Accelerating TensorFlow 2 performance on Mac
Linear algebra is to machine learning as flour to bakery: every machine learning model is based in linear algebra, as every cake is based in flour . It is not the only ingredient, of course. Machine learning models need vector calculus, probability, and optimization, as cakes need sugar, eggs, and butter. Applied…
awhile ago i posted my list of cool machine learning books , but it's been awhile so it's probably time to update it...
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Second-tier Scottish football club Inverness Caledonian Thistle doesn’t have a camera operator for matches at their stadium so the club uses an AI-controlled ca
Posted by Tingbo Hou and Tyler Mullen, Software Engineers, Google Research Video conferencing is becoming ever more critical in people's work and p...
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.
This post is part of a series about machine learning and artificial intelligence. Click on the blog tag “huskyai” to see related posts. Overview: …