"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.

With Erica, the company hopes to help consumers create better money habits, said Michelle Moore, Bank of America's head of digital banking. For example, Erica might send someone a predictive text: "Michelle, I found a great opportunity for you to reduce your debt and save you 300." Click the text to launch the app, and get Erica's advice. "Based on your typical monthly spending, you have an additional 150 you can be putting towards your cash rewards Visa. This can save you up to 300 per year." Though many banks have bots with some level of artificial intelligence, the customer experience has not always been great, said Daniel Latimore, senior vice president of Celent's banking practice.

Chipmaker Movidius, recently acquired by Intel, is partnering with the Chinese video IoT firm Hikvision to build a lineup of smarter security cameras, the companies announced Monday. Using the Movidius Myriad 2 Vision Processing Unit, the cameras will be able to run deep neural networks to perform high-accuracy video analytics on the cameras themselves. Such devices have typically relied on cloud computing power to run deep neural networks, but chipmakers and manufacturers expect to see an increasing amount of data processing happening on edge devices. Deep neural networks should enable a security system to detect visual anamolies like the arrival of suspicious packages or distracted drivers. "Advances in artificial intelligence are revolutionizing the way we think about personal and public security," Movidius CEO Remi El-Ouazzane said in a statement.

While not well understood, neural networks, deep learning, and reinforcement learning are all machine learning. Each layer of a deep learning model lets the computer identify another level of abstraction of the same object. Reinforcement learning, takes ideas from game theory, and includes a mechanism to assist learning through rewards. Researchers refer to this challenge as the black box problem of machine learning.