In Universal Chat, we've implemented a chatbot which can be trained by anyone effortlessly. The logic is simple; just give it your questions and answers, and the bot will reply to any customer who asks something similar. In this paper, I'll show you how we've done it so you can do the same. To start, I've tested many different Machine Learning frameworks out there -- Wit.AI, Microsoft Cognitive services, I had a peek at Luis… for me, it turned out that API.AI was the correct choice. It was totally free with a good response rate, it had a great user interface for development, and it was easy to setup, get started with and expand.

University of Nottingham researchers created an AI system that scanned routine medical data to predict which patients would have strokes or heart attacks within 10 years. The AI system beat the standard method of prediction, correctly making calls in 355 more cases than traditional means. Predicting cardiovascular events like strokes and heart attacks is a notoriously challenging task. In fact, the researchers note in their recent paper that around half of all strokes and heart attacks occur in patients who were never identified as being "at risk." The records included a decade of health outcomes, lab data, drug information, hospital records, and demographic information.

Where is the next big marketing disruption coming from? I caught up with a host of digital experts at the CMO Digital Insight Summit to find out. Tucked away on Scotland's wild and rugged west coast, Turnberry has a special place in golfing folklore. Famous for the legendary'Duel in the Sun' between Tom Watson and Jack Nicklaus at the 1977 Open Championship – an epic display of both sport and sportsmanship – the resort has seen its fair share of intense competition over the years. And in many ways, that made it the perfect setting for the recent CMO Digital Insight Summit.

Raising capital is like playing a game of chess with a grand master. Every conversation is a strategic move to position your startup as an awesome investment. To win the game and get a'yes,' you have to tell investors exactly what they need to hear. Here's the dirty secret: how you describe your business makes a lot of difference. There are ways to make a bad idea sound far better than it really is.

Newswire) Breaking Data Corp. (TSX VENTURE:BKD) (OTC PINK:BKDCD) (the "Company" or "BKD") is pleased to announce that is has now finalized its new independent Director appointees with key industry veteran leadership and experience. "We are extremely privileged to have this group of experienced and successful directors join our board," said Nick Thain, CEO. "These executives not only bring a vast network of knowledge but also have deep ties in many sports related businesses across the globe, that cross into our key markets. They will, no doubt, be valuable to our strategic and business progress." Greg D'Alba: Mr. D'Alba is currently the Co- founder & CEO of VIDL NEWS LLC, a start-up artificial intelligence news venture focused on real-time personalized news intelligence and reporting.

What do you think when someone says'artificial intelligence'? Artificial intelligence (AI) has come a long way from concept to reality in a short space of time and, despite being a buzzword for the last couple of years, is now mainstream enough that all the main tech players are developing their own products and services to help us through our daily lives. Google has recently developed a context-aware personal assistant simply called the Google Assistant, which can engage in two-way conversations with the user and help with everything from turning the lights on, to playing the latest tunes from Spotify, all without touching a button. Facebook, on the other hand, has taken the different approach of implementing smart chatbots into their Messenger app to make it easier and more convenient for users to check things like the weather and the news, without having to leave the app they're using for conversations. The potential of AI is finally starting to be realised - although there is a long way still to go.

Artificial intelligence (AI) technologies are being deployed for an increasing variety of use cases across consumer, enterprise, and government markets around the world. AI, which is defined as an information system that is inspired by a biological system, is an umbrella term that includes multiple technologies, such as machine learning, deep learning, computer vision, natural language processing (NLP), machine reasoning, and strong AI. According to a new report from Tractica, interest in implementing AI systems is surging among companies and institutions around the world. The market intelligence firm forecasts that the revenue generated from the direct and indirect application of AI software will grow from $1.4 billion in 2016 to $59.8 billion by 2025. This forecast represents an upgrade of Tractica's previous projection for AI market growth, which was published in 3Q16, owing to a greater than anticipated pace of change and development in the AI sector.

Creativity is a crucial aspect of human culture, yet it is hard to define and harder yet to measure. "The essence behind the term is being able to come up with new ways of seeing and doing," HEC researcher Mitali Banerjee explains. Creativity not only defines the work of artistic pioneers or visionary scientists, but its different forms also animate the activities of businesses in industries ranging from technology to entertainment. "In some instances, such as the iPhone, creativity can involve recombining existing technologies in a new design; in other instances, creativity can involve designing new organizational processes," says Mitali Banerjee. Apart from the difficulties of measuring creativity, little is understood about how creativity is valued in our society.

By now, you might already know machine learning, a branch in computer science that studies the design of algorithms that can learn. Today, you're going to focus on deep learning, a subfield of machine learning that is a set of algorithms that is inspired by the structure and function of the brain. These algorithms are usually called Artificial Neural Networks (ANN). Deep learning is one of the hottest fields in data science with many case studies with marvelous results in robotics, image recognition and Artificial Intelligence (AI). One of the most powerful and easy-to-use Python libraries for developing and evaluating deep learning models is Keras; It wraps the efficient numerical computation libraries Theano and TensorFlow.

On a February evening in 2011, Watson--a supercomputer with artificial intelligence created by International Business Machines Corp.--made history when it beat humans in a game of cognitive intelligence. These were longtime "Jeopardy" champions, deemed among the most intelligent human contestants to ever grace the game show stage. The Watson win was a major win for IBM IBM, -2.51% at the time, underscoring its transition to a new-age technology company with artificially-intelligent computers. It sent a clear message that IBM was no longer an aging legacy hardware company crippling under newer competition, but a bellwether of innovation yet to come in the realms of AI and big-data analytics. Read also: Is hyperconvergence the next big thing in tech?