News

MIT CSAIL TextFooler Framework Tricks Leading NLP Systems

A team of researchers at the MIT Computer Science & Artificial Intelligence Lab (CSAIL) recently released a framework called TextFooler which successfully tricked state-of-the-art NLP models (such as BERT) into making incorrect predictions.

Multi-Runtime Microservices Architecture

Best practices have emerged around “microservice” architecture and “12-factor app” design. As cloud, containers, and container orchestrators (.g. Kubernetes) have become popular, new solutions to address common integration principles have emerged.

How We Improved Data Discovery for Data Scientists at Spotify

The pitch deck that got Smartcar $2 million in seed funding from Andreessen Horowitz

How to ignore files in Git without .gitignore

Git has a handy feature when it comes to preventing accidental file check-ins when the files are meant to stay local. The obvious candidates are compiled binaries when you only want to check in the source code. Other candidates are files with local configurations.

Scaling Driver Compliance across Lyft

A passenger opens the app, requests a ride, and just a few minutes later there is a car with a friendly driver in front of them. They may know this driver went through a background check and other vetting; however, many might not realize all the complexity in the on-boarding process. Driver and vehicle requirements vary substantially across markets (and even at very proximate locations) due to varying market dynamics and government regulations.

How Spotify Aligned CDN Services for a Lightning Fast Streaming Experience

Google AI tool will no longer use gendered labels like ‘woman’ or ‘man’ in photos of people

Is Google cooling on open-source foundations?

Thomas Kurian runs cloud computing at Google, which appears to be rethinking open-source foundations. Google has been one of big tech’s biggest supporters of open-source software. But customers, partners and members of the open-source community say the company is shifting its priorities.

Scaling to Billions of Requests

Over the years at Capital One, the Spark framework evolved into the technology of choice for high volume real-time streaming and batch needs. After noticing some pains that come with operating the Spark infrastructure, the team decided to find a simpler, low maintenance yet highly scalable pattern and designed a Serverless Streaming solution around it: Apache Spark. Ever wonder what it was like to wait for a monthly statement to arrive to find any erroneous transactions on your account?