Dream interpretation is the process of assigning meaning to dreams. In many ancient societies, such as those of Egypt and Greece, dreaming was considered a supernatural communication or a means of divine intervention, whose message could be unravelled by people with certain powers. In modern times, various schools of psychology and neurobiology have offered theories about the meaning and purpose of dreams. Most people currently appear to interpret dream content according to the Freudian theory of dreams in countries, as found by a study conducted in the United States, India, and South Korea.[1] People appear to believe dreams are particularly meaningful: they assign more meaning to dreams than to similar waking thoughts. For example, people report they would be more likely to cancel a trip they had planned that involved a plane flight if they dreamt of their plane crashing the night before than if they thought of their plane crashing the night before or the Department of Homeland Security issued a Federal warning.[1] However, people do not attribute equal importance to all dreams.

Every day, 730,000 comments and 420 billion statuses are posted on Facebook, 500 billion 140-character tweets are posted and 430,000 hours of new video is uploaded to YouTube. The Internet is a goldmine of data just waiting to be analyzed. Ever since social media crept deeper and deeper into our daily lives, governments and advertisers have been utilizing this data for myriad purposes. Now, a team of researchers at the University of Ottawa, University of Alberta and the Université de Montpellier in France is examining ways to use social media data to detect and monitor people who are potentially at risk of mental health issues. Using computer algorithms, the team will apply social web mining and "sentiment analysis methods" to troves of data generated through social media to detect at-risk individuals. Sentiment analysis is the process of identifying and categorizing opinions expressed in text through a computer program.

The marriage of technology and medicine has already afforded humanity with some pretty phenomenal achievements -- after all, we're closer to becoming bionic than ever before. But despite the numerous advances in the medical field, there's still one critical problem yet to be solved: misdiagnoses. A key component of patient care, reading and diagnosing medical images is becoming more important than ever with an aging global population, and Zebra Medical Vision believes it can help. By teaching computers to help radiologists, Zebra says, its products can help health care providers "analyze millions of imaging records to understand the risk profile of their patients, detect and predict disease, and assist in building and managing preventative care programs." On Tuesday, the Israeli company announced a new collaboration with Intermountain Healthcare, one of the largest health care providers in the U.S., with hopes of accelerating the creation of Zebra's imaging analytics engine and neural networks that will use the tech company's imaging dataset to assist radiologists with automated diagnostic algorithms.

Video Friday is your weekly selection of awesome robotics videos, collected by your Automaton rhymers. 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. "The LOw-Cost Unmanned aerial vehicle Swarming Technology (LOCUST) is a prototype tube-launched UAV. The LOCUST program will make possible the launch of multiple swarming UAVs to autonomously overwhelm an adversary."

By 2020, more than five million jobs are expected to be lost to robots and artificial intelligence. And in the next two decades, graduates will be going into jobs that don't yet exist. Anticipating this future, businesses and employers are overhauling their recruitment strategies. Job hopping has replaced the one job, one-employer career, and hybrid jobs are on the rise. Employers want recruits who have strong technical and soft skills such as empathy and flexibility.

Even though we use our iPhones all day, every day, there are still a handful of features that are relatively unknown. Some of these features are buried in the Settings menu, while others are hidden in plain sight. Plus, there are a few things Siri can do for you that you may not know about. You can respond to texts directly from your lock screen by pulling down on the notification drawer and swiping over to the left on the text notification. You'll see a "Reply" option, and tapping it will let you type a response without having to unlock your iPhone.

Los Angeles, California – Indie developer and computer vision engineer, Mustafa Jaber, is pleased to announce the release of Capture Caption Lite, an AI-based app developed for iOS and Android devices. With the Capture Caption app, users can snap a photo with their smartphone or iPad and artificial intelligence will generate a word cloud using cutting-edge computer technology. These word clouds can be then downloaded to the user's image library and shared across multiple social media platforms. The brainchild of electrical engineer and image processing expert Mustafa Jaber, the app uses an artificial intelligence platform that derives information from images. This program understands the content of any image by using powerful machine-learning models, which can quickly classify images into thousands of categories.

This metal marvel might just be the soldier of the future... but far from being science fiction, this one is real. Affectionately known as Ivan the Terminator, Project Iron Man is a humanoid military robot currently being developed in Russia. For years, the country has been trying to keep up with the U.S. and China, which are building robots, drones and other military hi-tech machines with great success. The aim of the Russian robot soldier is to'replace the person in the battle or in emergency areas where there is a risk of explosion, fire, high background radiation, or other conditions that are harmful to humans', Komosomolskaya Pravda reported. This humanoid military robot is currently being developed in Russia.

Can software identify complex personality traits simply by analysing your face? Faception, a start-up based in Tel Aviv, Israel, courted controversy this week when it claimed its tech does just that. And not just broad categories such as introvert or extrovert: Faception claims it can spot terrorists, paedophiles – and brand promoters. "Using automated feature extraction is standard for face recognition and emotion recognition," says Raia Hadsell, a machine vision engineer at Google DeepMind. The controversial part is what happens next.

This week's top Machine Learning stories, including robots to drive your car, diagnose your medical images, pick up your mess, and more! Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. It's incredible, but it can also be overwhelming. That's why we created This Week in Machine Learning!