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Category: Mechanical Engineering

Notebook Innovation at Netflix – Netflix TechBlog – Medium

By Michelle Ufford, M Pacer, Matthew Seal, and Kyle Kelley Notebooks have rapidly grown in popularity among data scientists to become the de facto standard for quick prototyping and exploratory analysis. At Netflix, we’re pushing the boundaries even further, reimagining what a notebook can be, who can use it, and what they can do with it. And we’re making big investments to help make this vision a reality. In this post, we’ll share our motivations and why we find Jupyter…

Interactive software tool makes complex mold design simple

Objects created using the new design tool using resin casting or injection molding. Credit: Ran Zhang Most of the plastic objects we see are created using injection molding, but designing such molds is a difficult task, usually requiring experts. Now, computer scientists from the Institute of Science and Technology Austria (IST Austria), the University of Tokyo, and CONICET have created an interactive design tool that allows non-experts to create molds for an object of their choice. The software will be…

A New Graph Convolutional Neural Network for Web-Scale Recommender Systems

Ruining He | Pinterest engineer, Pinterest Labs Deep learning methods have achieved unprecedented performance on a broad range of machine learning and artificial intelligence tasks like visual recognition, speech recognition and machine translation. However, despite amazing progress, deep learning research has mainly focused on data defined on Euclidean domains, such as grids (e.g., images) and sequences (e.g., speech, text). Nonetheless, most interesting data, and challenges, are defined on non-Euclidean domains such as graphs, manifolds and recommender systems. The main question…

Deep learning to intervene where it counts – Coursera Engineering – Medium

How we built a feedback loop to optimize learning nudges Learning isn’t easy. To make it a little easier, we launched In-Course Help, delivering behavioral and pedagogical nudges as learners move through course material. In this post, we cover our process and learnings in implementing a machine learning feedback loop for personalizing and optimizing these nudges. In the first implementation of In-Course Help, all learners at a given point in a given course — for example, completing Lecture 9 of Course A, or…

EECS summer programs shed light on cyber security, machine learning

The goal of the REU was to focus more on machine learning-related work around consumer networking problems that have societal impact in healthcare, public safety and education. Photos courtesy of Prasad Calyam. The Electrical Engineering and Computer Science Department had another busy summer, hosting research-focused college students from around the country at its National Science Foundation-funded Research Experience for Undergraduates: Undergraduate Research in Consumer Networking Technologies and several high school students as part of its Summers@Mizzou Hacker Trackers program. Both…

Learning Market Dynamics for Optimal Pricing – Airbnb Engineering & Data Science – Medium

Combining elements of machine learning with structural modeling How do you think market dynamics influences this beautiful homes in Cape Town? Market dynamics plays a key role in matching guests with hosts in two-sided marketplaces such as Airbnb. Supply and demand vary drastically across different locations, different check in dates and different lead times until check-in. It is important for us to understand and forecast these spatial and temporal trends in order to find better matches for our community of hosts…

Interning on Square’s Risk Team – Square Corner Blog – Medium

Square’s main purpose is economic empowerment. Most people associate the company most strongly with its credit card processing product, the iconic Square Reader. Square’s credit card reader Allowing small businesses to accept credit cards has enabled them to grow their businesses in an era where everything is going digital. Today, I can tap my phone to buy groceries without ever pulling out a physical card. However, credit cards are an inherently risky business; credit card fraud accounts for $190 billion in…

Machine-learning system determines the fewest, smallest doses that could still shrink brain tumors — ScienceDaily

MIT researchers are employing novel machine-learning techniques to improve the quality of life for patients by reducing toxic chemotherapy and radiotherapy dosing for glioblastoma, the most aggressive form of brain cancer. Glioblastoma is a malignant tumor that appears in the brain or spinal cord, and prognosis for adults is no more than five years. Patients must endure a combination of radiation therapy and multiple drugs taken every month. Medical professionals generally administer maximum safe drug doses to shrink the tumor…

Additional Record Types Available with Cloudflare DNS

Photo by Mink Mingle / Unsplash Cloudflare recently updated the authoritative DNS service to support nine new record types. Since these records are less commonly used than what we previously supported, we thought it would be a good idea to do a brief explanation of each record type and how it is used. DNSKEY and DS DNSKEY and DS work together to allow you to enable DNSSEC on a child zone (subdomain) that you have delegated to another Nameserver. DS…

How origami might reshape the future of everything

Kamrava created this 3D printed object. Credit: Adam Glanzman/Northeastern University The next generation of solar panels and air bags will be shaped by the ancient Japanese art of paper folding. At least, that’s how Northeastern researcher Soroush Kamrava sees it. The third-year doctoral student in mechanical engineering uses 3-D printers in the Machine Shop on campus to create smart structures—objects that can collapse, absorb energy, and spring back into place using the geometric principles of origami. “Origami is…