Every blog post that took off on Hacker News, ranked by the votes of its best submission. 326 posts.
Understanding deep learning requires re-thinking generalization Zhang et al., ICLR’17 This paper has a wonderful combination of properties: the results are easy to understand, somewhat surpri…
In 1960, the physicist Eugene Wigner wrote a famous essay titled “The Unreasonable Effectiveness of Mathematics in the Natural Sciences” in which he explored the question of why mathematics is so r…
Here, I provide an in-depth analysis of GPUs for deep learning/machine learning and explain what is the best GPU for your use-case and budget.
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
Posted by Chia-Kai Liang, Senior Staff Software Engineer and Fuhao Shi, Android Camera TeamOne of the most important aspects of current smartphones...
Clojure library for GPU computing with CUDA
In this post we’ll outline new OpenAI research in which agents develop their own language.
What is artificial intelligence? Is it really any different than technology? In my estimation machine learning is truly something new, and the effects on society will be significant.
AI folklore tells a story about a neural network trained to detect tanks which instead learned to detect time of day; investigating, this probably never happened.
Facebook published a paper today detailing how they are able to train nearly 1.3 million images in under an hour using 256 Tesla P100 GPUs that previously took days on a single system.
Launch your business with WordPress or Website Builder using AI tools, templates, and reliable hosting.
zi2zi is the follow-up work for my last project , once again tackling the same problem of style transfer between Chinese fonts.
We present ObamaNet , the first architecture that generates both audio and synchronized photo-realistic lip-sync videos from any new text. Contrary to other published lip-sync approaches, ours is only composed of fully trainable neural modules and does not rely on any traditional computer graphics methods. More…
A journey into making Stack Overflow job search results relevant to you
Posted by Jennifer Daniel, Expressions Creative Director, Allo Taking, sharing, and viewing selfies has become a daily habit for many — the car sel...
Can we teach a neural network to perform like a human?
Computer programs that learn to perform tasks also typically forget them very quickly. We show that the learning rule can be modified so that a program can remember old tasks when learning a new one. This is an important step towards more intelligent programs that are able to learn progressively and adaptively.
Implementing Principal Component Analysis from scratch in Python: scatter matrices, eigenvectors, variance explained, and comparison with scikit-learn PCA.
