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Category: Mechanical Engineering

System identifies music selections via brain scanning

It may sound like science fiction, but mind-reading equipment is much closer to reality than most people realize. A new study carried out at D’Or Institute for Research and Education used magnetic resonance imaging (MRI) to read participants’ minds and determine what song they were listening to. The study, published today in Scientific Reports, contributes to the improvement of the technique and paves the way to new research on reconstruction of auditory imagination and inner speech. In the clinical domain,…

NEAL, Uber’s Open Source Language-Agnostic Linting Platform

Every day, Uber’s engineers write hundreds of commits to our mobile codebase, with each new patch necessitating a thorough code review to spot bugs that might affect the user experience. To make code reviews easier, we built Not Exactly a Linter (NEAL), an open source language-agnostic tool that allows engineers to write custom syntax-based rules, thereby automating sections of the code review process. In this article, we discuss the benefits of NEAL and walk through how you can use it…

Trends in AI for Online Education: Recommending Micro-Content for Micro-Learning

Editor’s Note: Shivani Rao is a Senior Applied Researcher on the LinkedIn Learning Relevance team, where she works on applications of recommendation systems to online learning. She recently spoke at the RE•WORK Women in Machine Intelligence Dinner in San Francisco on the topic of micro-learning and other emerging trends in applied AI in the field of online education. What follows is a summary of her talk at the event.   In a knowledge economy, lifelong learning becomes inevitable for students…

Omphalos, Uber’s Parallel and Language-Extensible Time Series Backtesting Tool

Operating in more than 600 cities worlwide, Uber leverages aggregate data about user preferences to improve rider and driver experiences. Over time, these anonymously aggregated data points generate millions of time series, which can be viewed broadly or at a deep level of time granularity. These time series forecasts are essential to much of our decision making, from marketplace optimization and cost modeling to hardware capacity planning. To enable fast, flexible, and accurate forecasting and provide greater reliability and consistency…

Mapping Medium’s Tags – Medium Engineering

Representing the meaning of tags on Medium using machine learning This was originally published Jan 18, 2018 on Hatch, Medium’s internal instance, to explain a hack week project to the company. When you publish a post on Medium, you’re prompted to add labels to your post that describe what your post is about. These tags are mostly free-form. Authors can write whatever they think describes their post. Adding some tags to a Medium post. As far as data goes, these tags are…

Getting to Know Todd Palino

What are some of the coolest projects that you and your team have been working on?Because Apache Kafka was originally developed at LinkedIn, we have a very strong Kafka development team. Both the Kafka development and SRE teams are very focused on open source work. As part of the SRE team, I took time to develop Burrow, which is an advanced tool for monitoring Kafka consumers. This solved a problem that LinkedIn had with how to monitor our applications, but…

Emerging 5G networks – new opportunities for drone detection?

Credit: Aalto University Researchers from Aalto University and Tampere University of Technology in Finland have addressed new possibilities for efficient detection of drones by relying on future 5G communication systems. There, mmWave base stations may act as multistatic radar system receivers, thus acquiring the reflected signal from nearby flying drones. Today, unmanned aerial vehicles (UAVs), or simply drones, are becoming more and more popular as they are utilized in various applications. Modern technologies and materials allow for constructing cheaper, smaller,…

Using haptic feedback joysticks to fly drones

A new joystick developed by startup MotionPilot lets users fly drones with just one hand in a fun, intuitive way. One version of this device includes a haptic feedback mechanism that gives users a sense of the drone’s position as it moves through the air. Drone aficionados were recently impressed by a prototype, and the device could hit the market soon. Drones are already used in a wide range of applications, such as monitoring crops, taking camera shots, racing, and,…

Building blocks to create metamaterials

An illustration of a metamaterial designed by Daraio’s team. Though each individual square is identical, their layout and the metamaterial’s overall design cause waves to propagate in a specific pattern through the material, as indicated by the squares’ different colors. Credit: Chiara Daraio/Caltech Engineers at Caltech and ETH Zürich in Switzerland have created a method to systematically design metamaterials using principles of quantum mechanics. Their work could pave the way for wider use of metamaterials in more mainstream applications by…

Nearing an NICU breakthrough

Currently, the device is in the early clinical trial stage. Before clinical trials, Roger Fales and the team developing the device tested its capabilities on a simulator. Photo courtesy of Roger Fales. Neonatal Intensive Care Unit (NICU) nurses have plenty on their plate on a daily basis. A Mizzou Engineering researcher is part of a team working on a new device that could help lessen their load. Roger Fales, associate professor of Mechanical and Aerospace Engineering, is partnering with Ramak…