October 31, 2016
October 12, 2016
October 4, 2016

That time Amazon flipped a default and made me thousands of dollars

A story of how the author of S3stat benefitted from recent UI changes in the AWS management console.

But I’m a nerd. One of those lazy ones who likes to automate things, and even though this only took a few minutes out of my day, I’d much prefer to keep those minutes for things like blowing off work for the day to go rock climbing because it’s sunny and I can do that because I run my own company. The less time I have to spend dealing with these customers, the better. So I built a little sniffer that would detect pre-existing logfiles and gave the users an option of hitting the “go” button on the report runner themselves.

But I’m also a capitalist. So I didn’t push that out just yet.

Instead, I changed it to automatically run just one month worth of logs, so that new users could get a nice big taste of what they could expect from the service. Then I offered the option to purchase additional months of service so that they could process any older logs. And I priced those additional months of service at 100% the cost of normal S3stat service. All you’re doing is moving back the start date for your subscription.

September 28, 2016

The Neural Network Zoo

A brilliant article on the different types of neural network architectures out there.

September 26, 2016

Microsoft Bets Its Future on a Reprogrammable Computer Chip

Today, the programmable chips that Burger and Lu believed would transform the world—called field programmable gate arrays—are here. FPGAs already underpin Bing, and in the coming weeks, they will drive new search algorithms based on deep neural networks—artificial intelligence modeled on the structure of the human brain—executing this AI several orders of magnitude faster than ordinary chips could. As in, 23 milliseconds instead of four seconds of nothing on your screen. FPGAs also drive Azure, the company’s cloud computing service. And in the coming years, almost every new Microsoft server will include an FPGA. That’s millions of machines across the globe. “This gives us massive capacity and enormous flexibility, and the economics work,” Burger says. “This is now Microsoft’s standard, worldwide architecture.”

September 15, 2016

Paddle

Paddle (PArallel Distributed Deep LEarning) is an easy-to-use, efficient, flexible and scalable deep learning platform, which is originally developed by Baidu scientists and engineers for the purpose of applying deep learning to many products at Baidu.