AI has the ability to gather tons of data and learn from it. Creating the more predictive models AI is booming the stakes. All of this ability of AI has the potential of changing the healthcare industry. Big data and well trained AI system can improve the patient diagnosis, precision medicine, patient data security, clinical decision support and many more. When it comes to AI, we always talk about the rise of intelligent robots and taking our jobs.

More than any other device, Alexa has become our closest approximation of artificial intelligence. She has a voice and personality, and if you ask the right question, she'll even get sassy with you. Users even refer to Alexa as "she." We usually prefer to say her name, rather than the name of the device itself, Amazon Echo. Recently, Alexa has made the news as it was reported that a Portland, Oregon couple's Echo recorded their conversation and sent it to a friend on their contact list.

In its new report on data and artificial intelligence trends, Gartner explains that "our 2018 predictions for AI are cued to the way it is diffusing. First, recent AI technology breakthroughs, coupled with APIs and cloud architectures, make still-nascent AI capabilities and services more widely available. Second, the success of vendors in applying AI technologies and conversational interfaces in smartphones and smart home virtual assistants creates higher end-user expectations for these capabilities."

It sounds like a simple phone call… but it's anything but. An assistant calls a hair salon to schedule an appointment. After a bit of back and forth with the person at the salon, a time is decided on and an appointment is made. It's a transaction that happens every single day. Crypto expert Tama Churchouse just released an update to his crypto market predictions.

This "new AI iPhone" -- which, to be clear, is your same ol' iPhone running a new mobile OS -- will understand where you are, what you're doing and what you need to know right then and there. The question now is will users embrace the usefulness of Siri's forthcoming smarts, or will they find its sudden insights creepy and invasive? After the installation of iOS 12, Siri's Suggestions will be everywhere. In the same place on the iPhone Search screen where you today see those Siri suggested apps to launch, you'll begin to see other things Siri thinks you may need to know, too.

AI has the potential to empower us all to accomplish more, drive better business outcomes and achieve breakthroughs that redefine what's possible. From changing the transportation landscape to discovering new ways of protecting the planet, from reinventing healthcare to connecting with customers, the opportunities are endless.

Amazon's Alexa is coming to the Apple Watch - sort of. A new third-party app, dubbed Voice in a Can, lets you use Alexa on the Apple Watch instead of the iPhone maker's voice assistant, Siri. It's a standalone Apple Watch app, so you don't have to be tethered to your iPhone, according to the Verge, which first spotted it. A new third-party app, dubbed Voice in a Can, lets you use Alexa on the Apple Watch (pictured) instead of the iPhone maker's voice assistant, Siri Instead, all you need is a WiFi connection or access to an LTE network. However, it doesn't mean you can use utilize all of Alexa's skills.

Explaining automatically generated recommendations allows users to make more informed and accurate decisions about which results to utilize, and therefore improves their satisfaction. In this work, we develop a multi-task learning solution for explainable recommendation. Two companion learning tasks of user preference modeling for recommendation} and \textit{opinionated content modeling for explanation are integrated via a joint tensor factorization. As a result, the algorithm predicts not only a user's preference over a list of items, i.e., recommendation, but also how the user would appreciate a particular item at the feature level, i.e., opinionated textual explanation. Extensive experiments on two large collections of Amazon and Yelp reviews confirmed the effectiveness of our solution in both recommendation and explanation tasks, compared with several existing recommendation algorithms. And our extensive user study clearly demonstrates the practical value of the explainable recommendations generated by our algorithm.

Artificial intelligence (AI) is becoming a bigger part of our lives in several ways, and we interact with it in different forms almost every day. From booking a cab on a virtual assistant to interacting with a customer service agent, AI works in the background to help make the experience better. And AI will proliferate even faster in the coming years. JPMorgan, for instance, believes that sales of AI-related software, hardware, and other services will grow from an estimated $12 billion last year to roughly $58 billion in 2021. There are several ways for investors to tap into the AI trend.

From neural networks and machine learning automation to virtual assistants and human-like robots, artificial intelligence (AI) encompasses many different things. But when AI is envisioned, many people automatically think of pure AI -- software that has equal or superior cognitive capabilities to the humans who created it. This can conjure images of an android butler announcing "dinner is served" or a robot-like Rosie from the Jetsons cleaning the house or helping Junior with his homework. For other people, pure AI can conjure frightening images of a future society controlled by Terminator-like robots that have too much knowledge and power. As with all unknowns, the future vision of an AI-driven world can be both exciting and scary, yet it is a world that we're heading toward nevertheless.