By Roman Kucera – 7 min read.
There have been so many articles published about Facebook shutting down its robots after they developed their own language. The media is just loving these clickbait titles.
An Intuitive Guide to Deep Network Architectures
By Joyce Xu – 9 min read.
Over the past few years, much of the progress in deep learning for computer vision can be boiled down to just a handful of neural network architectures. Setting aside all the math, the code, and the implementation details, I wanted to explore one simple question: how and why do these models work?
Thoughts after taking the Deeplearning.ai courses
By Arvind N – 8 min read.
Between a full time job and a toddler at home, I spend my spare time learning about the ideas in cognitive science & AI. Once in a while a great paper/video/course comes out and you’re instantly hooked.
Romance Novels, Generated by Artificial Intelligence
By Elle O’Brien – 6 min read.
I’ve always been fascinated with romance novels – the kind they sell at the drugstore for a couple of dollars, usually with some attractive, soft-lit couples on the cover.
Deep learning weekly piece: testing autonomous driving (virtually)
By Ophir Samson – 5 min read.
This week I’m going to focus on how deep learning is used in self-driving cars. There are plenty of machine learning applications within that field, but I’m going to zoom in on one very cool technology: virtual testing.
Summarizing Tweets in a Disaster
By Gabriel Tseng – 9 min read.
On April 25th, just before noon, Nepal experienced an earthquake of magnitude 7.8 on the moment magnitude scale. The earthquake ripped through Kathmandu valley, and a series of aftershocks leveled entire villages.
Open-ended learning relies on nonphysical phenomena
By Phil Madgwick – 7 min read.
In the short space of time since publishing ‘Is machine learning open-ended?‘, I have been coming round to the idea that machine learning techniques may well be capable of open-ended learning.