Artificial-intelligence technology is all around us, in the form of voice assistants like Siri, Alexa, Cortana, and more. But this technology extends beyond recognizing a song or telling us the weather. At last year's Business Insider IGNITION conference, David Kenny, the general manager of IBM's Watson division, discussed the AI project. According to Kenny, Watson is most advanced in the health field. One example of its success potentially saved a life.

The most trending topic of technology 2017 is undoubtedly Artificial Intelligence. Big companies like Facebook, Amazon, Google, Microsoft are investing money in this field. The most shocking thing is, smartphones are also trying to incline towards artificial intelligence. They are working hard in the research of this field. People nowadays are finding ways to make their lives easy and comfortable. AI is the only way to make this happen.

Some of us have had the misfortune to experience ghosting, while others have fallen victim to'breadcrumbing', or being led on without any hope of a date. Now online daters have yet another tactic to beware of - 'kittenfishing' - and it might be the most tricky of all, due to its clever subtlety. Kittenfishing is the lesser version of'catfishing', where someone steals another person's identity and pictures to lure in potential dates, according to experts from the dating app Hinge. It involves presenting yourself in an'unrealistically positive light', by employing tactics such as getting a friend to ghost write their profile, posting outdated or heavily filtered photos or adding a few inches to your height. Kittenfishers are also likely to bend the truth when it comes to their job title or level of education.

Google has had voice search features in Android for years, but when Google Assistant rolled out on the Pixel in October 2016, everything finally came together. You can now get Assistant on plenty of Android devices, and Google just improved the platform with a raft of new features in recent weeks. It can be easy to miss the improvements if you don't obsessively keep an eye on the news, so here they are in one place: the five coolest new features in Google Assistant. Google used to hide all of Assistant's features in a series of esoteric, buried menus. Now, there's a much more sensible way to find out what sort of cool things you can do with Assistant in the Explore menu.

My iPhone is now packed with helpers. It started with Siri, the digital assistant baked into iOS, that was waiting for me the moment I fired up my iPhone SE for the first time. But now Google is moving in on Apple's turf by releasing an iOS version of Google Assistant, its own take on a helper powered by artificial intelligence. Illustration: Tom's GuideAnd Google Assistant isn't even first app angling to replace Siri as my go-to iPhone helper. Cortana, Microsoft's digital assistant, has been available for iOS devices for more than a year.

The influence and impact of machine learning can be seen in everything from our morning coffee orders to the online banking apps we use. The technology is infusing a deeper intelligence and understanding into the applications that touch our lives, to dramatically improve our experiences. In addition, it's helping to spawn entirely new business innovations and models, such as autonomous vehicles and virtual personal assistants. In fact, machine learning is so prevalent and pervasive that it's difficult to imagine an enterprise being able to survive without embracing it in the next five years. Especially considering predictions of continued global data growth.

Insurance and technology are inextricably linked. The risks we seek to manage have always been connected to the tools we use. But, as Accenture's 2017 Technology Vision for Insurance points out, this relationship recently reached an inflection point. In the past, humans generally changed themselves to make use of new technologies--we learned to drive, we learned to type, we learned to code. But now modern technologies are sophisticated enough to adapt themselves to us.

Imagine you're about to leave the house to pick up your kids. As you grab your keys, you hear a voice from the device on your coffee table: "It looks like you'll use the last of your milk tomorrow, and yogurt is on sale for $1.19. Would you like to pick up an order from Trader Joe's, for a total of $5.35?" You say yes, and Alexa confirms. The order will be ready for curbside pickup, on the way home from your kids' school, in 15 minutes.

In this article we provide a formulation of empirical bayes described by Atchade (2011) to tune the hyperparameters of priors used in bayesian set up of collaborative filter. We implement the same in MovieLens small dataset. We see that it can be used to get a good initial choice for the parameters. It can also be used to guess an initial choice for hyper-parameters in grid search procedure even for the datasets where MCMC oscillates around the true value or takes long time to converge.

The evolution of AI can be difficult to track, but these statistics reveal what trends we can expect to see and its future in the enterprise. Even a quick glance at these AI statistics makes one thing clear: AI will have a starring role in the evolving state of business. The sheer scale of projected AI revenue -- $36.8 billion by 2025 -- is evidence enough that there is money to be made by investing in AI. It has tangible, real-world applications that could benefit many businesses, powering everything from voice recognition software to virtual personal assistants and beyond. It's telling that more than 71 percent of major firms conducting AI research have a B2B focus.