Travel brands should ensure they consider the search "intent" of prospective customers when optimising their pages, as Google turns more to advanced tech to serve results. With the search giant's increased use of machine learning and sophisticated artificial intelligences techniques to display results, smaller travel brands in particular must understand how a subtle shift is taking place in how SERPS (Search Engine Results Pages) are served. Larger travel companies, Searchmetrics argues, have an advantage as Google appears to rank them higher for content than similar items from lower-profile brands. Google is looking to understand the "real intention" behind words used by consumers, in a bid to make results more relevant, says Marcus Tober, Searchmetrics CTO and founder. "With the help of user signals, such as how often certain results are clicked and how long people spend there, the search engine gets a sense of how well searchers' questions are answered; allowing it to continually refine and improve relevance. "A searcher who types'things to remember for my beach holiday' into the search box is most likely looking for a short list for example; someone who types'height Mont Blanc' wants a single piece of information, while a query like'nice beach mallorca' is most likely wanting a series of images and a'how to pack a suitcase' query might be best served with video content." Interestingly, word count on content is beginning to become a determininh factor of the placement of sites in search results. This, according to Searchmetrics, is due to top performing results generally more detailed, cover more aspects of a topic (destination, for example). The number of keywords, however, is no longer as important as previously thought of, Tober argues. "Google is no longer just trying to reward pages that use more matching keywords with higher rankings; it is trying to interpret the search intention and boosting the content that is most relevant to the query." Finally, backlinks are also becoming less important to achieve a high ranking in SERPS. It remains a "strong correlation", Tober says, but things have changed, not least because mobile searches are now so popular and, generally, pages are more often than not "shared" or "liked", rather than linked to. "Google's application of machine learning to evaluate search queries and web content means that the factors it uses to determine search rankings are changing all the time.

Libratus is an artificial intelligence (AI) program for playing Heads-Up, No-Limit Texas Hold'em. It was developed at Carnegie Mellon University's School of Computer Science by Prof. Tuomas Sandholm and Ph.D. student Noam Brown. Libratus's strategy is not based on the experience of expert human players, so its game play could differ markedly from the pros. It uses algorithms to analyze the rules of poker and set its own strategy, based on approximately 15 million core hours of computation at the Pittsburgh Supercomputing Center (PSC). Libratus will continuously sharpen its strategy during the Brains vs. AI competition, performing computations with the PSC's Bridges computer each night while the pros get some shuteye.

Cognitive computing and artificial intelligence (AI) have attracted much attention lately with their promise of futuristic advances, but in a real sense these technologies are already becoming integral to marketing and sales operations. Our research shows that marketing and sales are a top priority for cognitive decision makers, with 64 percent of advanced users already applying cognitive in this area. An essential attribute of a cognitive solution is the ability to probe vast amounts of under-utilized data to find actionable insights. While that may seem like the goal of advanced analytics already in the market, cognitive solutions can add intelligence to data by reasoning, predicting and providing recommendations--a key differentiator for marketing and sales optimization. How are organizations using cognitive technology to optimize marketing and sales?

We will be talking about Neural Networks. We will start by introducing Neural Networks and talk about applications where it shines. After going through the basics of Neural Networks, we will move into speaking about Deep Neural Networks, we will try to go through implementation examples of Neural Networks using the TensorFlow library. Here we will introduce the constitutive element of a Neural Network, the neuron. We will talk about how it is the building block of neural nets.

AI, applied properly in healthcare, will save lives, said Freenome's CEO Gabriel Otte. Freenome, an AI 100 startup working on cancer diagnostics, is backed by Andreessen Horowitz, Data Collective, and Founders Fund. The healthcare AI category has been heating up, with around 50 new companies raising their first equity after January 2015. During the panel discussion on AI's Transformation of Healthcare at the Innovation Summit, Otte stressed the importance of taking healthcare AI "step by step" to minimize risk to patients' lives. "I think we should also keep in mind that all diagnostics is subjective today. It's up to the doctor [to make the final decision]… The concept of having an AI make that decision is still many, many years away," Otte said, dismissing the dystopian notion of "machines killing people."

Tuomas Sandholm and Noam Brown spent the past year building an AI that plays Texas Hold'Em. The two Carnegie Melon researchers call their creation Libratus, and they believe it can top the world's best players at no-limit Hold'Em, a version of the classic poker game that allows any bet at any time. No machine has ever reached such heights with this unusually complex game of cards. Although AI systems have topped the best players at checkers, chess, Othello, and even Go, no-limit Hold'Em creates a different obstacle. In contrast to those other games of intellect, a poker player can know only part of what's happening during each hand.

Join Entrepreneur's The Goal Standard Challenge and make 2017 yours. From creating personalized shopping experiences to offering virtual buying assistants -- AI is improving the online shopping experience for consumers and retailers. Shoppers will be able to easily find the best price for an item and communicate with chatbots for quick customer service. For retailers, they'll be able to better analyze consumer data to predict future buying patterns, create autonomous replenishing systems and also save money and time on customer service by utilizing chatbots. Related: Has Artificial Intelligence Arrived At The Sales Function Yet?

The outcomes of the future are pretty uncertain eventualities. But yet, we as humans strive to predict future outcomes and scenarios in a variety of ways. For example the complete guesswork of choosing your lottery numbers, to the more logical science & technology based efforts of meteorologists predicting future weather patterns. Needless to say, human beings have an innate desire to analyze patterns and contemplate the unknown. When it comes to the future of the mobile marketing industry, things are a little more certain than next week's big numbers.

There are seven key megatrends driving the future of enterprise IT. You can remember them all with the helpful mnemonic acronym CAMBRIC, which stands for Cloud Computing, Artificial Intelligence, Mobility, Big Data, Robotics, Internet of Things, CyberSecurity. In this post we dive deeper into Artificial Intelligence. Artificial Intelligence is the discipline of thinking machines.