It is a stunning new view of the moon - taken from a unique viewpoint. Posted to Twitter by @Astro_Alex, European Space Agency astronaut Alexander Gerst, this image shows our planet's Moon as seen from the International Space Station. He posted the stunning image to illustrate just how far astronauts aboard the ISS travel as they orbit the Earth. European Space Agency astronaut Alexander Gerst posted the amazing image of the Moon as seen from the International Space Station. 'By orbiting the Earth almost 16 times per day, the #ISS crew travel the distance to the Moon and back – every day,' he said.

As part of our Fusions release, we have already demonstrated a use case and walked through an example using the BigML Dashboard. Our fourth of six blog posts on Fusions will demonstrate how to utilize Fusions by directly calling the BigML REST API. As a reminder, Fusions can be used for both classification and regression supervised Machine Learning problems, and function by aggregating the results of multiple models (decision trees, ensembles, logistic regressions, and/or deepnets), often achieving better performance as result. Using the BigML API, requires that you first set up the correct environment variables. Additionally, the BIGML_API_KEY can be found on the Dashboard by clicking on your username to pull up the account page, and then clicking on'API Key'.

Robots have been around, in some form or other, since the ancient world. Early legends of automata existed in Greek and Roman legends and basic mechanical'robots' were designed and built in China and Greece. Our modern concept of robots wouldn't appear until the Industrial Revolution with the notion of the android (humanoid robot) coming into existence in 20th Century film and sci-fi literature. Since then many engineers have worked tirelessly to improve and, in some cases, redefine robotics. These 15 are just some of them. The following is far from exhaustive and is in no particular order. Their contribution to robotics: Joseph Endgelberger is widely credited for the birth of the robotics industry.

ZHENGZHOU: In the Chinese city of Zhengzhou, a police officer wearing facial recognition glasses spotted a heroin smuggler at a train station. In Qingdao, a city famous for its German colonial heritage, cameras powered by artificial intelligence helped police snatch two dozen criminal suspects in the midst of a big annual beer festival. In Wuhu, a fugitive murder suspect was identified by a camera as he bought food from a street vendor. With millions of cameras and billions of lines of code, China is building a high-tech authoritarian future. Beijing is embracing technologies like facial recognition and artificial intelligence to identify and track 1.4 billion people. It wants to assemble a vast and unprecedented national surveillance system, with crucial help from its thriving technology industry.

After working in the Middle East insurance market for a significant time, Rachid Abi Nader and Hadi Radwan noticed a common problem across the region - most people did not really understand the technical insurance jargon and the cover they had purchased. With a vision to make insurance simple, transparent and accessible, they decided to establish Aqeed.com. "We designed our technology solutions to help consumers understand, manage and buy insurance on a friendly and efficient platform," says Abi Nader, CEO and co-founder of Aqeed. Founded with the shareholders of Barents, an A-rated international reinsurance group, and Equitrust, a company member of Choueiri Group (a media and advertising group), Aqeed aims to change the way customers perceive insurance. When we decided on the name, we wanted something that resonates with our target market.

When you think of Sweden, what comes to mind? Next week, Sweden will be all about AI. From July 10 to 15, Stockholm plays host to the thirty-fifth International Conference on Machine Learning (ICML), and NVIDIA will be there in force. Recently, we unveiled our groundbreaking super SloMo research at CVPR in Salt Lake City. Now, we're ready to show Europe how we're fueling the next big wave of AI discovery.

We can see a lot of hype about AI and Machine Learning, and its potential to transform businesses. More and more сompanies are adopting machine learning solutions, setting up accelerators, opening R&D centers, and investing into startups. On the other hand, there are many companies that are using old-fashioned data analytics tools and labeling them as AI. Also,there is a large number of reports with AI market estimates and forecasts. However, it's challenging to get the right information on machine learning development that will actually work for your business. As a company that has delivered successful Machine Learning and Data Science solutions across such industries as Healthcare, Aviation, Media and Entertainment, and Technology, we've decided to talk with our experts and collect top guidelines for making your machine learning development project work.

Engineers have taught an AI the basics of driving in '15 to 20 minutes' – a process that can take some humans dozens of hours behind the wheel. Wayve, which was founded by researchers from Cambridge University's engineering department, used a technique known as'reinforcement learning' to achieve the feat. This teaches the algorithm using trial and error, with correct decisions rewarded with uninterrupted driving, and mistakes being corrected by a safety driver in the car. As the test progressed, the algorithm behind the wheel learnt not to replicate any mistakes that had been corrected by the human safety driver in the car. According to the Wayve team, the AI learnt to drive and corner while staying inside its own lane within '15 to 20 minutes' after it first took to the roads.

Cyber criminals are sending text messages that appear to come from Argos in an attempt to fool customers of the retail giant into sharing their personal information, including their payment details. One scam message shared by a would-be victim on social media, stated: "Your Argos credit card has a refund of £270 from an overpayment." The message includes a link to what appears to be the Argos website, however leads to a phishing website designed to steal a person's personal information. Even more confusingly for recipients, the message appears in a messaging thread that includes legitimate texts from Argos in the past. Action Fraud, the UK's national fraud and cyber crime reporting centre, issued a warning to any potential victims.

The achievement gap between students who come from different socio-economic backgrounds is a well-known and persistent problem in education. Disparities in achievements between high and low socio-economic groups are evident in children as young as age 3 years and seem to be a problem the world over. Despite pupils' overall attainment scores rising over the last decade or so, the gap between students from different socio-economic groups remains intractably present and widespread. Family finances play a big part amongst the various reasons for this disparity. Pupils from low socio-economic backgrounds (SEBs) are often only able to attend a few, if any of the extra-curricular activities enjoyed by their more affluent peers. Access to good schools for pupils from SEBs is often reduced as is their access to the educational and occupational aspirations which can impact children's academic achievement.