Artificial intelligence is all the rage, with headline-grabbing advances being announced at a dizzying pace, and companies building dedicated AI teams as fast as they can. Andrew Ng, chief scientist at Baidu Research, and a major figure in the field of machine learning and AI, says improvements in computer processor design will keep performance advances and breakthroughs coming for the foreseeable future. "Multiple [hardware vendors] have been kind enough to share their roadmaps," Ng says. "I feel very confident that they are credible and we will get more computational power and faster networks in the next several years." The field of AI has gone through phases of rapid progress and hype in the past, quickly followed by a cooling in investment and interest, often referred to as "AI winters."

If you are interested in reaching customers that you can't get to now, in offering user experiences that go beyond the rigid orchestration of the point and click paradigm, in providing just the right data that someone needs, it may be time to consider creating a chatbot. When I ran across the description of Colin Megill's course for O'Reilly Media about how to build your own chatbot (which is starting on July 13), I thought of Eliza, one of the pioneering chatbots that did a serviceable job of parsing sentences and tossing them back to you. Eliza made it seem like you were having a conversation if you got lucky. If you said something it couldn't handle, the conversation quickly got dull or non-sensical. The world has grown up.

Communicating with guests in real-time and the treasure trove of data that comes with this is what's making messaging one of the newest darlings of the travel industry. There are many implications for how messaging and artificial intelligence (AI) could ultimately prove successful, whether it's during the booking funnel or after when a guest is at a hotel and looking to book services or activities. This week we're looking at startups that have put their eggs in the messaging and AI basket, one that only a few major brands have jumped into and last month we looked at the travel brands launching messaging bots. That will likely change as travel brands improve their overall social media strategies and become more savvy with getting their tone right with online conversations. GuestU is a software-as-a-service mobile app for hotels helping them create their own apps.

Home » Brain Function » Dementia risk in older adults can be predicted with a new risk index tool Dementia risk in older adults can be predicted with a new risk index tool By: Devon Andre Brain Function Friday, December 09, 2016 - 11:00 AM Dementia risk in older adults can be predicted with a new risk index tool. Preventing dementia is becoming a worldwide concern as rates of mental decline are expected to climb. While the risk of developing dementia can be somewhat curbed with lifestyle changes, detecting the most vulnerable population segments is still a challenge. Researchers from Finland and Sweden addressed the challenges of recognizing dementia by using a novel machine learning approach. They developed a dementia risk index tool which helps assess a person's risk of dementia in order to determine the appropriate preventative measures.

We live in an era of accelerating change, when scientific and technological advancements are arriving rapidly. As a result, we are developing a new language to describe our civilization as it evolves. Here are 20 terms and concepts that you'll need to navigate our future. Back in 2007 I put together a list of terms every self-respecting futurist should be familiar with. I reached out to several futurists, asking them which terms or phrases have emerged or gained relevance since that time. These forward-looking thinkers provided me with some fascinating and provocative suggestions -- some familiar to me, others completely new, and some a refinement of earlier conceptions.

Recently popularized by IBM's highly intelligent Watson supercomputer, which competed on the hit game show Jeopardy, cognitive computing refers to machines that are capable of learning concepts and patterns through advanced language processing algorithms. A system that involves incredibly advanced artificial intelligence, cognitive computing is one facet of computer science that isn't for the faint of heart. Although much of the hype is centered on big business and big data processing, there are a number of consumer applications. Whereas business leaders might use the technology to increase their bottom line, streamline daily operations and achieve greater profitability, consumers can take advantage of computing to ease some of the burdens of everyday life. In fact, many consumers are using some form of it without realizing it.

The scenario has played out through innumerable iterations in popular culture, the most popular being The Terminator series. Steven Spielberg, riffing on the film Stanley Kubrick was going to direct before his death, presented the counterpoint, espousing a benevolent vision of AI in A.I. Then there are more nuanced, ambiguous iterations, like the recent Ex Machina. New advances in algorithmic artificial intelligence, deep learning software, automation, and nanotechnology have made it abundantly clear that Ray Kurzweil's vision of the Singularity may also be not an if, but when. In fact, responding to Kurzweil's prediction of a cloud-based neocortex in the 2030s, entrepreneur Bryan Johnson of Braintree said, "Oh, I think it will happen before that." Johnson's more recent aspirations involve merging artificial intelligence with humans, a pursuit many would argue is already occurring on a vast scale when it comes to our use of smartphone technology and search engines.

Applying machine learning in marketing automation is not rocket science. It has one and only one purpose: make marketers' life easier. It helps you focus only the most important data, performs the must-have, but repetitive todos. Therefore your scope of duties will move to a more strategic position as a marketer. I'm about to I show you 4 examples when machine learning in marketing automation could truly help you.

What is the Loebner Prize? The Loebner Prize for artificial intelligence ( AI) is the first formal instantiation of a Turing Test. The test is named after Alan Turing the brilliant British mathematician. Among his many accomplishments was basic research in computing science. In 1950, in the article Computing Machinery and Intelligence which appeared in the philosophy journal Mind, Alan Turing asked the question "Can a Machine Think?"

Over the last few months, I've been focused on product design for chatbots--both text and voice. As a UX designer with a background in graphic design, it's been refreshing to shift focus towards non-visual user experiences. It's reasonable to assume the same people who consume news on social media are the same people interested in chatting with your bot on Facebook. If you are still deciding between a social media chatbot or your own, and you want to target millennials, this could help you make the decision. The content that you push and the tone and language of your bot may be very different that what you have thought initially.