Take a look inside the doctor's office of the future, created by a $2 billion startup that's...

Evernote won't implement its new privacy policy after all but the damage is done Microsoft releases giant Q&A dataset to help researchers build AI tools that ... Microsoft gives away 100000 questions and answers to advance virtual assistants like Siri, Alexa ... Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

So if you're an executive who cares about growing your business, all this AI media coverage may prompt two nagging questions. First, is the business potential of AI real or not? The answer to the first question is that the business potential of AI is real. Today businesses can start to apply AI to change the economics of automating business processes requiring human intelligence. AI could allow you to increase the volume of work through a human intensive business process by 100X while reducing unit economics by 90%.

Do you know what is common between San Bernardino's shooting spree and the terrorist attacks in Paris last month? Jillennials, Jihadis who are Millennials. We mine data worldwide, a lot of it, a ton of it, every day and every night, and we do this for a living at PredictifyMe. We have partnership with the United Nations to protect school-goers in Pakistan, Nigeria, Sudan and Lebanon using our proprietary software SecureSim and Soothsayer . When the Paris attacks unfolded, we asked ourselves (and our database), how can we use data sciences to prevent something like this from ever happening again. Can we find out what factors influence an otherwise ordinary citizen to become radicalized?

Everyone seems to be talking about artificial intelligence these days, and you're probably wondering why it's suddenly such a hot topic. Is it the prospect of creating autonomous robots and self-driving cars? Or is it about exploring new frontiers of science and outer space? Those sci-fi aspirations are definitely generating some buzz -- but they're slow-moving projects that aren't going to change our day-to-day lives just yet. What really gets businesses excited is how AI can radically transform user experiences right now.

In this series of exploratory blog posts, we explore the relationship between recurrent neural networks (RNNs) and IoT data. The article is written by Ajit Jaokar, Dr Paul Katsande and Dr Vinay Mehendiratta as part of the Data Science for Internet of Things practitioners course.

Microsoft releases giant Q&A dataset to help researchers build AI tools that ... Microsoft gives away 100000 questions and answers to advance virtual assistants like Siri, Alexa ... Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

It's a phrase that often pops up in discussions about the safety and ethics of artificial intelligence. How can scientists create AI with goals and values that align with those of the people it interacts with? Very simple robots with very constrained tasks do not need goals or values at all. Although the Roomba's designers know you want a clean floor, Roomba doesn't: it simply executes a procedure that the Roomba's designers predict will work--most of the time. If your kitten leaves a messy pile on the carpet, Roomba will dutifully smear it all over the living room.

Microsoft is trying to help create machines that can have conversations by releasing a new set of data for free. The data, called the Microsoft Machine Reading Comprehension dataset (MS MARCO) is a bundle of 100,000 English queries along with corresponding answers. It's supposed to help people build artificial intelligence systems that can understand human written language. The company is opening up its dataset in the hope that Microsoft can work with other organizations on making machines better at reading comprehension, said Rangan Majumder, program manager for the Microsoft Partner Group, in a blog post on Friday. The queries in MS MARCO are based on anonymized questions that were submitted to Microsoft's Bing search engine and Cortana virtual assistant.

Momentarily, robots can only construct narratives from uncomplicated, quantitative information because humans have only developed early forms of AI termed narrow intelligence, intelligence equivalent or better than human intelligence at solving very specific lower level tasks, but in the future "robo reporters" may become advanced enough to tell personal, emotional, complicated stories. In other words, AI in its current capacity is capable of deciphering easily interpretable information (e.g., data-driven stories like the statistical analysis of a football game). Naturally, in this form, AI is incapable of composing qualitative, complex stories comparable to first hand experiences or your favorite blog or novel but eventually, algorithms will outperform human writers and be more cost effective. Content marketers will simply plug in basic guidelines and install software programs and AI will take care of the rest.