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.

The vision of self-driving vehicles grows closer to fruition - but how are automotive companies addressing the deep and thorny technical issues that stand between concept and mass production? A major area of focus is that of using Artificial Intelligence (AI), to mimic and implement human reaction. This IHS Markit whitepaper provides an expert view into advancements in a key sector of AI - "Deep Learning" - that shows great promise and hosts a number of innovative initiatives in the automotive community. To receive your copy of this complimentary whitepaper on artificial intelligence in automotives, fill in the form below.

"The Geospatial Intelligence Certificate, accredited by the United States Geospatial Intelligence Foundation (USGIF) provides education and training in scientific concepts, methods and key geospatial technologies, used in the solution of global problems of human security, including natural disasters, humanitarian crisis, environmental risks, military operations, political violence, public health and challenges in access to food. USGIF's purpose is to promote the geospatial intelligence tradecraft and to develop a stronger community of interest between government, industry, academia, professional organizations and individuals. USGIF is the only organization providing Higher Education accreditation in the GEOINT domain, being a world leader in this field.

Telstra's chief scientist says the telco is betting on artificial intelligence on mobile phones being huge in 2017, and believes Google and Apple are in prime position to dominate it, despite the best efforts of competitors such as Samsung, Microsoft and Amazon. Google, in particular, is in "pole position" to take a commanding lead due to the huge, 70-billion-fact "Knowledge Graph" it has been working on for years, which will prove to be an "absolutely critical asset" as smartphones start to take on tasks now done by humans, Dr Hugh Bradlow said in an interview with The Australian Financial Review. Google fired its first shot in the artificial intelligence (AI) wars last week, launching the Pixel phone that features a new AI engine, known as Google Assistant, that can take those 70 billions facts and turn them into useful interactions with the phone's owner. Launching the phone, Google chief executive Sundar Pichai announced: "We're at a seminal moment in computing."

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.

The White House has recently released its Preparing for the Future of Artificial Intelligence report. The report reviews the history of AI, outlines a few applications, surveys current efforts by federal agencies, and makes some policy recommendations. Like most such government reports, it is more about the present than the future. The federal government has funded significant research in AI through programs like the DARPA Grand Challenge to develop autonomous vehicles. The report recognizes agencies, such as the Defense Advanced Research Projects Agency (DARPA), the National Science Foundation (NSF), the National Institutes of Health (NIH), the Office of Naval Research (ONR), and the Intelligence Advanced Research Projects Activity (IARPA), as being at the forefront of the AI movement.

Michelle Moore, head of digital banking for Bank of America, said in an interview on Monday that Erica will be smarter than a robot because she will bring up topics on her own, using predictive analytics as opposed to only answering questions customers ask. For example, Erica may recommend taking steps to lift a sagging credit rating she noticed. Or, she may propose a customer make higher monthly payments on an outstanding credit card balance to reduce interest expenses. "Erica has your back and she's looking out for you," said Moore. The bank plucked the name Erica from the last five characters of its own name, said Moore, who introduced the tool on Monday at the Money 20/20 financial industry conference in Las Vegas.

REUTERS - Bank of America Corp plans to provide customers with a chatty "virtual assistant" named Erica who will use artificial intelligence to make suggestions over mobile phones for improving their financial affairs. Michelle Moore, head of digital banking for Bank of America, said in an interview on Monday that Erica will be smarter than a robot because she will bring up topics on her own, using predictive analytics as opposed to only answering questions customers ask. For example, Erica may recommend taking steps to lift a sagging credit rating she noticed. Or, she may propose a customer make higher monthly payments on an outstanding credit card balance to reduce interest expenses. "Erica has your back and she's looking out for you," said Moore.

So far, the algorithm seems to be doing a pretty good job. The images being produced aren't just otherworldly or psychedelic, like so many computer-generated images in the realm of machine learning, but straight-up spooky. For example, check out how the Nightmare Machine transformed an ordinary image of the Statue of Liberty into something out of Ghostbusters. Or how it makes a photo of the Louvre look like it's been transported to a terrible Parisian hellscape: More unsettling than these landscapes are the ghoulish algorithm-generated faces that the Nightmare Machine has churned out. To refine the algorithm, researchers are asking humans to vote on which faces are scariest.