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.

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.

Working with colleagues at Princeton University, a researcher from the University of Bath has shown that artificial intelligence (AI) can exhibit the same prejudice and bias as humans. Dr Joanna Bryson (pictured above) from the Computer Science department at Bath is spending a year at the Centre for Information Technology Policy (CITP) at Princeton, researching the ethics of computing and AI. "The term'AI' has negative associations yet we use AI every day. It is entrenched in almost everything we do with IT, from Google to Facebook to smartphones," she said. While artificial intelligence and machine learning are in a period of astounding growth, there are concerns that these technologies may be prone to the same prejudice and unfairness as many human institutions, say the researchers.

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.

As technology has developed, humans have been able to create machines that have the computing power to do incredible things. We can get from place to place using navigation applications such as Google Maps and Waze and track calorie consumption, sleeping habits and exercise efficiency with tools like the Fitbit. We can even start our cars remotely from our cell phones. All of these advancements in smartphone and Internet of Things technology have led tech advocates to the same question: What's the next big thing? The answer could be artificial intelligence, or AI.