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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 countries where people could use the new system. To put the results in perspective, he adds, consider that physical distance is, by itself, also a significant barrier to global commerce.

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 running Cilium in production.

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 a technical deep dive of Envoy Mobile’s current architecture.

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.

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 in 2025 (90 Gbit/in2) is 13x smaller than today’s HDD areal density and has already been demonstrated in laboratory environments.

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.

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 across industries.

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

How Amazon is solving big-data challenges with data lakes

Back when Jeff Bezos filled orders in his garage and drove packages to the post office himself, crunching the numbers on costs, tracking inventory, and forecasting future demand was relatively simple. Fast-forward 25 years, Amazon’s retail business has more than 175 fulfillment centers (FC) worldwide with over 250,000 full-time associates shipping millions of items per day. Amazon’s worldwide financial operations team has the incredible task of tracking all of that data (think petabytes).