University of Lancaster Invents Yet Another Memory

According to the papers, the new memory exploits the quantum properties of a triple-barrier Resonant Tunneling (RT) structure to produce a nonvolatile memory that can be either read or written with low-voltages. This RT structure, illustrated in this post’s graphic, is produced by using elements from the 3rd and 5th columns in the periodic table, […]

Taming ElastiCache with Auto-discovery at Scale

Our backend infrastructure at Tinder relies on Redis-based caching to fulfill the requests generated by more than 2 billion uses of the Swipe® feature per day and hosts more than 30 billion matches to 190 countries globally. Most of our data operations are reads, which motivates the general data flow architecture of our backend microservices. […]

When machine learning packs an economic punch

A new study co-authored by an MIT economist shows that improved translation software can significantly boost international trade online — a notable case of machine learning having a clear impact on economic activity. The research finds that after eBay improved its automatic translation program in 2014, commerce shot up by 10.9 percent among pairs of […]

How Trip.com uses Cilium

This post provides the background on how Trip.com uses Cilium and what lead the team to standardize on Cilium as their networking and network security platform for the years to come. It is a summary with some commentary of the original trip.com blog post which provides extensive details into the decision-making process and experiences while […]

Envoy Mobile v0.2 deep dive

In November we released Envoy Mobile v0.2. In the accompanying blog post we detailed the features that the library supported and announced that we had replaced the networking libraries in Lyft’s alpha rider app with Envoy Mobile. In this blog post, I want to expand on the technical aspects of the v0.2 release and take […]

OpenAI, PyTorch

We are standardizing OpenAI’s deep learning framework on PyTorch. In the past, we implemented projects in many frameworks depending on their relative strengths. We’ve now chosen to standardize to make it easier for our team to create and share optimized implementations of our models. As part of this move, we’ve just released a PyTorch-enabled version […]

Library of Congress Storage Architecture

In 2026 is there demand for 7X more manufactured storage annually and is there sufficient value for this storage to spend $122B more annually (2.4X) for this storage? Unlike HDD, tape magnetic physics is not the limiting issues since tape bit cells are 60X larger than HDD bit cells … The projected tape areal density […]

Artificial intelligence yields new antibiotic

Using a machine-learning algorithm, MIT researchers have identified a powerful new antibiotic compound. In laboratory tests, the drug killed many of the world’s most problematic disease-causing bacteria, including some strains that are resistant to all known antibiotics. It also cleared infections in two different mouse models. The computer model, which can screen more than a […]

Deep Learning for Anomaly Detection

Anomalies, often referred to as outliers, are data points or patterns in data that do not conform to a notion of normal behavior. Anomaly detection, then, is the task of finding those patterns in data that do not adhere to expected norms. The capability to recognize or detect anomalous behavior can provide highly useful insights […]

Designing a Production-Ready Kappa Architecture for Timely Data Stream Processing

At Uber, we use robust data processing systems such as Apache Flink and Apache Spark to power the streaming applications that helps us calculate up-to-date pricing, enhance driver dispatching, and fight fraud on our platform. Such solutions can process data at a massive scale in real time with exactly-once semantics, and the emergence of these […]