Video Friday is your weekly selection of awesome robotics videos, collected by your baby-loving Automaton bloggers. We'll also be posting a weekly calendar of upcoming robotics events for the next two months; here's what we have so far (send us your events!): Let us know if you have suggestions for next week, and enjoy today's videos. We got a teaser about the Omnicopter during Raff D'Andrea's most recent TED Talk, but this dedicated video shows it off much better: Like all the coolest robots, the things it can do look like CGI, right? On July 27, 2016, Michigan-based Vayu, Inc., in collaboration with the Stony Brook University Global Health Institute completed the first ever series of long-range, fully autonomous drone delivery flights with blood and stool samples, setting records in the process.

It may seem like only yesterday that you had to look things up in an Encyclopedia instead of searching for answers on Google. So it's hard to imagine how technology will affect our daily lives in the years to come. But you can catch a glimpse of what the future may look like by using this interactive tool, which includes technologies such as colour-changing clothes and holographic personal assistants. Mobile users can visit RS component's website to use the tool Forget a crystal ball: You can catch a glimpse of the future may look like by using the interactive tool, above. The tool predicts that 10 per cent of the clothes we wear will be connected to the internet, allowing them to change colour, regulate temperature and charge gadgets, for example.

This post is part of a series covering the exercises from Andrew Ng's machine learning class on Coursera. The original code, exercise text, and data files for this post are available here. One of the pivotal moments in my professional development this year came when I discovered Coursera. I'd heard of the "MOOC" phenomenon but had not had the time to dive in and take a class. Earlier this year I finally pulled the trigger and signed up for Andrew Ng's Machine Learning class.

The chart was generated from the data file weight.2015.csv It requires R and ggplot2. In the following I'll describe the thought process, some other people ideas, and the software I used to lead me in the right direction. The below is what worked for me. Your situation may be different.

Designed to help understand the fundamentals of DS & Algorithms really well. A must have for programming interviews.

This repo contains various IPython notebooks I've created to experiment with libraries and work through exercises, and explore subjects that I find interesting. I've included notebook viewer links below. Click the link to see a live rendering of the notebook. These notebooks contain introductory content such as an overview of the language and a review of IPython's functionality. Implementations of the exercises presented in Andrew Ng's "Machine Learning" class on Coursera.

Laura Hatfield and Sherri Rose are Assistant Professors specializing in biostatistics at Harvard Medical School in the Department of Health Care Policy. Laura received her PhD in Biostatistics from the University of Minnesota and Sherri completed her PhD in Biostatistics at UC Berkeley. They are developing novel statistical methods for health policy problems. Rose: I'd definitely say a statistician. Even when I'm working on things that fall into the categories of data science or machine learning, there's underlying statistical theory guiding that process, be it for methods development or applications.

They might be tall, dark and handsome but men on the dating app Tinder suffer from low self-esteem, a study found. A survey of more than 1,300 men and women revealed that those who use the highly popular smartphone app tend to be less happy with their looks. Psychologists warn the app could be bad for your health, with users drawn into a downward spiral of physical comparisons. Researchers looked at more than 1,300 undergraduate students and asked them to complete questionnaires based on psychological state. They found that one in ten of them used the Tinder app.

A software program dubbed'Mayhem' was poised to win the final round of a three-year contest to teach computers to launch and defend against cyber attacks, earning a 2 million prize for the team that wrote the winning code. The event, known as the Cyber Grand Challenge, concluded Thursday evening in a Las Vegas convention centre ballroom after a digital battle among software programs running on seven supercomputers on a stage in a Las Vegas ballroom. Thousands watched as announcers presented a play-by-play account of the competition. The event, known as the Cyber Grand Challenge, concluded Thursday evening in a Las Vegas convention centre ballroom after a digital battle among software programs. For almost 10 hours, competitors played the classic cybersecurity exercise of Capture the Flag in a specially created computer testbed laden with an array of bugs hidden inside custom, never-before-analyzed software.

Is it possible to predict whether someone will commit a crime some time in the future? It sounds like an idea from the 2002 science-fiction movie Minority Report. But that's what statistical researcher Richard Berk, from the University of Pennsylvania, hopes to find out from work he's carried out this year in Norway. Is it possible to predict whether someone will commit a crime some time in the future? It sounds like an idea from the 2002 science-fiction movie Minority Report (pictured).