The number of registered AI start-up firms increased by over than 50 per cent globally in 2016 – with funding almost doubling to $9.89bn during the same period. According to market analysts and research firm Venture Scanner, since March last year, the number of registered AI firms has risen globally from 957 to 1,535 across 71 different countries. Categories covered in its findings include businesses involved in; computer vision / image recognition, computer vision / image recognition, context aware computing, deep learning, machine learning, gesture control, natural language procession, personalised recommendation engines, smart robots, speech recognition, speech to speech translation, video automatic content recognition and virtual assistants. Venture Scanner claims of the 1,535 companies tracked, 731 of them have received funding, totalling $9.89 billion - up from $4.8 billion a year earlier. Venture Scanner has also revealed that the US currently leads the way for AI start-up companies, with more than 740 registered.

This issue of AI Magazine brings together a collection of articles on challenges, mechanisms, and research progress in turn-taking and coordination between humans and machines. The contributing authors work in interrelated fields of spoken dialog systems, intelligent virtual agents, human-computer interaction, human-robot interaction, and semiautonomous collaborative systems and explore core concepts in coordinating speech and actions with virtual agents, robots, and other autonomous systems. Several of the contributors participated in the AAAI Spring Symposium on Turn-Taking and Coordination in Human-Machine Interaction, held in March 2015, and several articles in this issue are extensions of work presented at that symposium. The articles in the collection address key modeling, methodological, and computational challenges in achieving effective coordination with machines, propose solutions that overcome these challenges under sensory, cognitive, and resource restrictions, and illustrate how such solutions can facilitate coordination across diverse and challenging domains. The contributions highlight turn-taking and coordination in human-machine interaction as an emerging and evolving research area with important implications for future applications of AI.

Today, even though similar approaches are in use, they are usually just one part of complex recommendation approaches that can include large collections of algorithms and data sources. The data set was again provided year that the summer school on Recommender Systems by Moviepilot and was co-organized by TU Berlin. By 2007, the Netflix Prize had The second track focused on recommendation of scientific attracted thousands of participating teams, and the papers. The challenge attracted 30 participating Netflix Prize concluded. At the by Simon Fraser University and Yelp who also 2010 ACM RecSys conference, the seed for what provided the data. CAMRa attracted a moderate the 2014 challenge did not focus on classical recommendation, number of participants, but contributed to establishing but rather on prediction of user engagement, the RecSys Challenge series.

Our pioneering algorithm identifies items and people in both text or image. We trained it to adress fashion industry issues. Items, shapes, colors, textures, sentiment, people… Our cutting-edge solution searches in real time for your answers into all texts and images posted on social networks, blogs, forums and websites. An Ai-powered virtual assistant that can detect trends worldwide, to help you design and launch new collections or manage purchases, product range and stocks. Our powerful text & image recognition solution also provides you with automated products and catalogues tagging with direct benefits for your eCommerce platform: sales conversion increase, cost reduction, recommendation relevance and merchandising optimisation.

From intelligent chat bots and machine learning to predictive analysis and natural language processing, AI (artificial intelligence) seems to be the next step for technology enterprises to maximize its chance of sucess at some goal. Tech giants such as Microsoft, Apple, IBM, Google and Facebook among a few others have already shifted their focus, funds and energies towards AI. Infer identifies and target business prospects using Predictive Scoring, Sales Intelligence, and Account-Based Marketing products. The company states that it picks up data from an enterprise's existing CRM or Marketing Automation system, and identifies social presence, website technology etc. It uses machine learning algorithms to retrieve patterns in the data to predict the best prospects and integrates predictive intelligence directly into the user's systems, to combine advanced customer intelligence with existing reports and workflows.

Yet despite this fact of marketplace nature, many companies that offer tech products and services face the daunting task of making changes that customers may perceive as messing with a very good thing, especially if the offering is wildly successful. Having a considerable share of the search engine marketplace against Bing and Yahoo, Google has become the default starting point for queries among many businesses, small and large, and an essential platform for optimizing digital marketing strategies. But now IoT home devices are rivaling search engines for consumer attention, potentially threatening their dominance in the long run. Clickz reported a BloomReach study that indicates Amazon's emerging position as a consumer starting point for product search and price comparison. The survey of 2,000 US consumers revealed that people are increasingly hitting the Amazon website first, with its share of surveyed respondents reaching 55%, an 11% increase over the previous year's results.

The device come in two models - the HTC U Ultra and U Play - with a 5.7-inch and 5.2-inch screen respectively. The larger device also has a miniature second screen which can display important messages and notifications, by learning what contacts you communicate with regularly. The phones follow Apple's controversial decision last year to remove the headphone jack, instead connecting via Bluetooth or wired USB-C headphones. The smart features in the phone reflect how manufacturers have sought to make their devices more useful in an increasingly competitive market. Google added an artificial intelligence assistant to its new Pixel phone last year and Apple has sought to boost the capabilities of Siri.

Late last year, just in time for Christmas shopping, Rachel Rhoads got a nice surprise. One of her secret savings accounts had grown to $900 behind her back. Rhoads, a 37-year-old Los Angeles-based sales director for a jewelry line, has an account with Digit, a financial technology company with an algorithm that tracks users' income and spending patterns. It painlessly spirits small amounts of money out of checking and into a savings account every two or three days. "I just thought it was such a good idea, to set it and forget it," said Rhoads, who says she is "like a squirrel" in her approach to saving.

Sebastien Reeve, director of product management at Nuance Communications, explores why tech firms need to tailor their AI technology to the needs of consumers to succeed. From Facebook launching chatbots on messenger, to Alexa and Google Home bringing virtual assistants to consumers on a greater scale than ever before, this year will certainly be remembered as'the rise of the bots.' However, as this technology continues to transform our experience of engaging with companies and in the home, we'll see the wheat separated from the chaff. During this time, we'll see the good bots establishing industry best practices. To date, it hasn't all been plain sailing for the early innovators in the field. While a number of virtual assistants showed their true potential for positively revolutionising the customer experience, the chatbot that Microsoft launched on Twitter demonstrated how in the wrong hands this technology can have negative output, with the bot assimilating Twitter users' worst tendencies into its personality.

Amazon makes hardware that's all about easing the way to buying stuff from Amazon. Their Echo digital assistant is a case in point. You can order anything from the Amazon website just by saying "Alexa, order me a . . That can be very convenient – or not. Early this month a CBS affiliate in Dallas reported the story of six-year old Brooke Neitzel who was talking with Alexa about dollhouses and cookies.