The dirty little secret is out about artificial intelligence. This one is more insidious. Data scientists, AI experts and others have long suspected it would be a problem. But it's only within the last couple of years, as AI or some version of machine learning has become nearly ubiquitous in our lives, that the issue has come to the forefront. Name an -ism, and more likely than not, the results produced by our machines have a bias in one or more ways.

Neural networks are an exciting field of software development used to calculate outputs from input data. While the idea seems simple enough, the implications of such networks are staggering--think optical character recognition, speech recognition, and regression analysis. With Neural Networks Using C# Succinctly by James McCaffrey, you'll learn how to create your own neural network to solve classification problems, or problems where the outcomes can only be one of several values. Learn about encoding and normalizing data, activation functions and how to choose the right one, and ultimately how to train a neural network to find weights and bias values that provide accurate predictions.

Artificial intelligence has been the focus of technology research for quite a while now. Recent years have seen considerable development in machine learning, narrow AI and deep learning. What does 2017 promise us in the realm of AI? How closer could we come to the glorious liberating visions of AI that have been the subject of fantasy and disbelief in previous decades? In this article, we talk about the five most significant developments that might be realized in 2017. With easy commercialization, greater investment in research and applicability across sectors, this could be the year when AI finally takes off as a commercially viable part of the technology industry.

As Friday night became Saturday morning, Dong Kim sounded defeated. Kim is a high-stakes poker player who specializes in no-limit Texas Hold'Em. The 28-year-old Korean-American typically matches wits with other top players on high-stakes internet sites or at the big Las Vegas casinos. But this month, he's in Pittsburgh, playing poker against an artificially intelligent machine designed by two computer scientists at Carnegie Mellon. No computer has ever beaten the top players at no-limit Texas Hold'Em, a particularly complex game of cards that serves as the main event at the World Series of Poker. Nearly two years ago, Kim was among the players who defeated an earlier incarnation of the AI at the same casino.

My situation as an online shopper is somewhat like this, "I know what I need but not sure where to buy em…" Over and above, most of the online shoppers experience a very similar perplexity. And I know how much pain purchasing a set of socks can cause if you are not a brand maniac. Continuing to how web personalisation can heal the aforementioned agony, it is the process where you customize your website to the needs of a specific user (This will curtail the online shopping fatigue). By using the insights you gain from analyzing user navigational behavior on your website. In correlation with other info accumulated in the form of structure, content and user profile data. There are two ways to collecting data on a user's interest and activities on a website.

The year 2016 proved to be an important milestone in the history of Artificial Intelligence (AI). Though the researchers have been working on creating intelligent machines for long, the year 2016 witnessed the concept leaving the realm of science-fiction to become more tangible and realistic. The year began with the Facebook founder Mark Zuckerberg announcing his plans to build an artificial assistant for his home. As the year proceeded, organisations across the globe started increasingly investing their resources towards the research and development of AI. As the word caught on pace, tech titans including Google, Intel and Apple raced to acquire private companies working to advance artificial intelligence.

An artificial intelligence (AI) system developed by Carnegie Mellon University (CMU) has defeated four professional card sharks in a 20-day heads-up poker tournament in Pittsburgh. The AI, Libratus, possesses the ability to perform strategic reasoning and the compute power to process the 10 160 possible information sets a game of heads-up no-limit Texas Hold'em poker has. Libratus was developed by professor of computer science Tuomas Sandholm and computer science PhD student Noam Brown, and hosted on the Pittsburgh Supercomputing Center's Bridges computer. According to both Sandholm and Brown, Libratus' victory was not the result of luck. "The best AI's ability to do strategic reasoning with imperfect information has now surpassed that of the best humans," Sandholm said.

With marketing becoming taking a central role in many companies, CMOs are forced to think more strategic. While they wade through the thousands of martech and adtech software out there, they must also align with the board and line of business heads to ensure that their marketing strategies meet corporate goals. It has ushered a new interest in Artificial Intelligence (AI) to help CMOs succeed. Such needs as created a frenzy among vendors to build the ultimate AI. Amazon, for example, recently announced three new AI tools – Lex, Polly, and Rekognition -- drawing on the character of the company's personal AI assistant Alexa.

Many of us might have heard the terms AI, machine learning and deep learning. Some of us also might have heard that they can have a big impact on cyber security. What are AI, machine learning and deep learning actually? And, how can they improve cyber security? In this article we would discuss about that. Artificial Intelligence or AI is the science and engineering of making a machine intelligent, so that it can perform tasks similar to those that require human intelligence.