A capsule carrying 5,300 pounds of food, clothing, spare parts, lab equipment, and science experiments arrived at the International Space Station Sunday morning. Astronauts grabbed the vehicle, called Cygnus, with a robotic arm and pulled it to the station for docking. Over the next month the crew will unload its contents while Cygnus remains tethered to the station. Ultimately, the space station crew will reload the empty vessel with about 4,000 pounds of trash and release it to burn up in the atmosphere in mid-November. But before the vehicle destroys itself, an onboard experiment called Spacecraft Fire Experiment-II, or Saffire-II, will intentionally start a small fire to test how zero gravity and limited oxygen affect flame size and the spread of fire.

For more information on what makes Intel Capital one of the world's most powerful venture capital firms, visit www.intelcapital.com or follow @Intelcapital. About Deutsche Telekom Capital Partners (DTCP) Deutsche Telekom Capital Partners (DTCP) is Deutsche Telekom's investment management group. With approximately 2 billion under management and advisory, and a portfolio of over 70 companies, DTCP provides venture capital, private equity, and strategic advisory services to the technology, media and telecommunication sectors. Operating as a bridge between Europe, Silicon Valley and Israel, the company connects people, capital, and ideas to accelerate innovation and provide value to its portfolio companies, its limited partners, and the connected world.

Data scientists and data engineers, choose their own tools or flavor, work on their own. Learn how Data Science Experience can make data science a team sport, bringing data scientists and data engineers together to make data science and machine learning available to everyone. Presenter: Juergen Schaeck - IBM 2. Telco data stream simulation, processing and visualization Koen will discuss the development of a prototype for processing of data coming from cell towers, executed for a telco operator in the Middle East. The added difficulty was that the customer could not provide real data.In the end he developed a data generator in Scala/Akka, a data processor with Spark Streaming, and a visualization front-end with Node.js. Presenter: Koen Dejonghe - Eurocontrol 3. Hyperparameter Optimization - when scikit-learn meets PySpark Spark is not only useful, when you have big data problems.

We are a nascent startup based in The Netherlands, dedicated to developing systems with Artificial Intelligence (AI) and Machine Learning (ML) technology for telecom, financial, retail and marketing industries. We are also interested in applying recent research of social physics and mean field game theory to further enhance our services/products. Automatic procedure scrapes data from various sources online to geolocate and analyze how people perceive your brand or image. This uses recent artificial intelligence methods being designed at university research departments: geolocation based on text (instead of GPS), automatic topic discovery, etc. Provizo – smart suite for retail that includes 1) automatic prediction of individual consumer demands based on historical and ancillary data. The system updates itself with new rules as they are being discovered continually from the consumer data.

Within five years, the virtual assistants on smartphones -- such as Siri or Cortana -- should be able to talk to a refrigerator, a car or anything else that can be connected to the internet. A virtual assistant could ask a car to check its own oil and tell the owner if it's time for an oil change. It could figure out how to fix a broken dishwasher by contacting the virtual assistant for that dishwasher's manufacturer. It could tell the coffee pot to brew a morning cup of joe. That's the vision Andrea Sahli, senior implementation manager at noHold, presented Thursday during the Grace Hopper Celebration of Women in Computing.

An artificial intelligence system designed to predict the outcomes of cases at the European Court of Human Rights would side with the human judges 79 percent of the time. Researchers at University College London and the University of Sheffield in the U.K., and the University of Pennsylvania in the U.S., described the system in a paper published Monday by the Peer Journal of Computer Science. "We formulated a binary classification task where the input of our classifiers is the textual content extracted from a case and the target output is the actual judgment as to whether there has been a violation of an article of the convention of human rights," wrote the paper's authors, Nikolaos Aletras, Dimitrios Tsarapatsanis, Daniel Preo?iuc-Pietro and Vasileios Lampos. The system examined public court documents relating to 584 cases of violations of articles 3 (prohibiting torture), 6 (right to a fair trial) and 8 (respect for private life) of the European Convention on Human Rights, which has been ratified by 47 European countries. The court documents have a distinctive structure, discussing first the procedure by which the case reached the court, the facts and circumstances of the case, relevant law, and the legal arguments applied.

When people ask me what I'm working on, I'm often confused about the depth I need to go to in my response. 'Artificial Intelligence' is way too broad for my personal satisfaction, and image understanding probably too specific. Nevertheless, every single time, I do get this completely unrelated follow-up question that infuriates me to my core. And I can't even blame the skeptic -- most people think artificial intelligence is some unknown, mysterious entity which is conspiring infinitesimally, and will eventually kill us all, since it can predict that Sausage Party is the next movie we'd want to watch after we've binge-watched Evan Goldberg flicks all night. That's what makes predicting your favourite music, or suggesting the correct phone app to use while you're taking a dump -- an easy task for machines.

Above the Trend Line: machine learning industry rumor central, is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz. Our intent is to provide our readers a one-stop source of late-breaking news to help keep you abreast of this fast-paced ecosystem. We're working hard on your behalf with our extensive vendor network to give you all the latest happenings. Be sure to Tweet Above the Trend Line articles using the hashtag: #abovethetrendline.

An artificial intelligence "judge" that can accurately predict many of Europe's top human rights court rulings has been created by a team of computer scientists and legal experts. The AI system--developed by researchers from University College London, the University of Sheffield, and the University of Pennsylvania--parsed 584 cases which had previously been heard at the European Court of Human Rights (ECHR), and successfully predicted 79 percent of the decisions. A machine learning algorithm was trained to search for patterns in English-language datasets relating to three articles of the European Convention on Human Rights: Article 3, concerning torture and inhuman and degrading treatment; Article 6, which protects the right to fair trial; and Article 8, on the right to a private and family life. The cases examined were equally split between those that did find rights violations and those that didn't. Despite the AI's success, the legal profession is safe for now.

The vehicles will operate in the Jurong West region of Singapore, where the island's Nanyang Technological University (NTU) is situated. The buses will ferry up to 80 people between NTU and the neighboring "eco-business" hub CleanTech Park -- around a one-mile journey. The team behind the trial is also considering servicing a nearby train station, which would extend the route to around a 5-mile round trip. The vehicles will charge at depots and at bus stops via charging masts. It won't be the first trial of a full-sized autonomous bus.