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Category: Mechanical Engineering

Inside the Entropy

Randomness, randomness everywhere;Nor any verifiable entropy. Generating random outcomes is an essential part of everyday life; from lottery drawings and constructing competitions, to performing deep cryptographic computations. To use randomness, we must have some way to ‘sample’ it. This requires interpreting some natural phenomenon (such as a fair dice roll) as an event that generates some random output. From a computing perspective, we interpret random outputs as bytes that we can then use in algorithms (such as drawing a lottery)…

Creating the “Superclass”: Improving object detection at Wayfair via product class clustering

Executive Summary Object detection is an important component of the computer vision workflow at Wayfair. The goal of object detection is to detect bounding boxes of the objects in an image along with the class information (Figure 1), which empowers many downstream applications. In this post, we will share a novel method we employ at Wayfair to improve the performance of the object detection model we use by making better use of our training data. The underlying idea of this…

No Coding Required: Training Models with Ludwig, Uber’s Open Source Deep Learning Toolbox

Machine learning models perform a diversity of tasks at Uber, from improving our maps to streamlining chat communications and even preventing fraud. In addition to serving a variety of use cases, it is important that we make machine learning as accessible as possible for experts and non-experts alike so it can improve areas across our business. In this spirit, we built Ludwig, an open source, deep learning toolbox built on top of TensorFlow that allows users to train and test…

Materials informatics reveals new class of super-hard alloys — ScienceDaily

A new method of discovering materials using data analytics and electron microscopy has found a new class of extremely hard alloys. Such materials could potentially withstand severe impact from projectiles, thereby providing better protection of soldiers in combat. Researchers from Lehigh University describe the method and findings in an article, “Materials Informatics For the Screening of Multi-Principal Elements and High-Entropy Alloys,” that appears today in Nature Communications. “We used materials informatics — the application of the methods of data science…

Announcing the New Cloudflare Partner Platform

When I first started at Cloudflare over two years ago, one of the first things I was tasked with was to help evolve our partner platform to support the changes in our service and the expanding needs of our partners and customers. Cloudflare’s existing partner platform was released in 2010. It is a testament to those who built it, that it was, and still is, in use today—but it was also clear that the landscape had substantially changed. Since the…

Building A Scalable Data Management System for Computer Vision Tasks

By Shirley Du |Engineer, Discovery On Pinterest, computer vision plays a central role in enabling search and discovery from every Pin and every image within a Pin. We train visual models to not just identify objects, but also predict attributes, related ideas, and exact product matches. As people conduct hundreds of millions of visual searches on Pinterest every month, these models are increasingly becoming more powerful with results surfaced through technologies like Lens camera search, automated Shop the Look, and…

New light source brings freedom of design and added safety

Segmented automotive LED high-beam unit realized as a micro-optical, irregular fly’s eye condenser. Two identical modules assembled with 1.5° rotation to one another. Credit: Fraunhofer-Gesellschaft Success in the increasingly competitive automobile market is reserved for those who combine well-engineered products with attractive design, for example through the perfect integration of headlamps. Fraunhofer researchers have developed a new lighting technology that gives designers more freedom to create vehicles with unconventional styling and also provides additional benefits to drivers and auto manufacturers…

Colloidal gel properties under the microscope — ScienceDaily

The term colloidal gel might not be one that is immediately familiar to everybody. However, most people come into contact with these materials every day. Many cosmetics, pharmaceuticals, food products and even building materials are made up of colloidal gels, and as a result these materials are widely studied. However, to date, research methods have not been capable of following the complete gelation process. Now, researchers at The University of Tokyo have used confocal microscopy to analyze the process in…

Researchers make breakthrough discovery in stretchable electronics materials

Sideways cracking in a silicone elastomer. Credit: Dr. Matt Pharr/ Texas A&M University Engineering Stretchable electronics are where engineering meets Hollywood special effects. With a wide range of healthcare, energy and military applications, stretchable electronics are revered for their ability to be compressed, twisted and conformed to uneven surfaces without losing functionality. By using the elasticity of polymers such as silicone, these emerging technologies are made to move in ways that mimic skin. This sheds light on why Smooth-On Ecoflex,…

Wayfair DS Explains It All: Trent Woodbury on Handling Imbalanced Data

Most machine learning algorithms are designed to train on balanced datasets. Resultantly, when our data are highly imbalanced, a typical model will have atrocious recall. In this video, Wayfair Senior Data Scientist Trent Woodbury explains the three most common ways of handling this imbalanced data problem.     Trent Woodbury hails from Colorado, where he gained a BS in mathematics from Colorado State and a love of the outdoors which has turned him into an avid rock climber, hiker, and…