Canadian Kaylee Kapital revealed her Tinder date took her to the hospital where he worked -- and even showed her a dead body for kicks. In a video on her YouTube channel, Kapital said she met the man through an app and their first two dates were reasonably normal -- dinner and a movie. But she admitted there were warning signs. She said: "This guy was really weird, I'm a natural redhead and he would always make fun of ginger people." "I should have got a lot of red flags but I was on the rebound after being dumped so I was like I just want to get out there and have fun."

This week, the Interactive Advertising Bureau (IAB) launched a working group focusing on artificial intelligence and machine learning in response to "significant member interest." Make no mistake, AI is quickly coming off the pages of science fiction and being implemented across the marketing, media, and advertising industries. So, what is AI and how exactly can brands make the best use of it? Artificial Intelligence (AI) is an umbrella term for a large number of technologies that can train software to think and learn on its own. That might sound rather lofty, but if you look around in the digital world, low-level AI is already being deployed in things from simple spam filters to the recommendation engines on ecommerce sites.

An advertisement posted on Craigslist on August 9 by a San Francisco couple in their 40s is driving the internet wild. Even though their requirement might read as nothing out of the ordinary – a personal assistant – it is the details that make up for bizarre reading. The couple has listed their profession as biotech executives who lead extremely busy lives. So busy in fact, that they need a full time assistant, who would need to put in 40 hours per week to accomplish tasks such as cleaning up dog vomit and swim across the sea. Some of the problems that the couple seem to facing are: "resorting to unhealthy take-out and processed foods, personal social media accounts are neglected," buying "fresh flowers but don't have time to trim daily and change the water, indoor plants are dying...nail polish gets chipped and remains chipped, investment opportunities go un-researched, and that crucial'date night' consists of collapsing onto the sofa and watching a movie."

The marketing world is buzzing with talk of Artificial Intelligence and one of its friends, Machine Learning. The concept of what defines AI has changed over time, but at the core there has always been the idea of building machines which are capable of thinking like humans. These terms seemingly strike fear into the heart of many a marketer. Is AI just the latest buzzword? Do I actually need to understand it?

Artificial intelligence is transforming our lives at home and at work. At home, you may be one of the 1.8 million people who use Amazon's Alexa to control the lights, unlock your car, and receive the latest stock quotes for the companies in your portfolio. In total, Alexa is touted as having more than 3,000 skills and growing daily. In the workplace, artificial intelligence is evolving into an intelligent assistant to help us work smarter. Artificial intelligence is not the future of the workplace, it is the present and happening today.

You've probably encountered the term "machine learning" more than a few times lately. Often used interchangeably with artificial intelligence, machine learning is in fact a subset of AI, both of which can trace their roots to MIT in the late 1950s. Machine learning is something you probably encounter every day, whether you know it or not. The Siri and Alexa voice assistants, Facebook's and Microsoft's facial recognition, Amazon and Netflix recommendations, the technology that keeps self-driving cars from crashing into things – all are a result of advances in machine learning. While still nowhere near as complex as a human brain, systems based on machine learning have achieved some impressive feats, like defeating human challengers at chess, Jeopardy, Go, and Texas Hold'em.

'How do I control the lights?' is my first, rage-infused question when staying in almost any hotel room. Closely followed by'how do I shut off the air conditioning?' As yet, both questions have gone unanswered. Walls, alas, cannot talk, so I am left to fiddle with the plastic key thing that for some reason also operates the room's electricity, put on an extra layer or six, and grope around in the dark. My ineptitude in the realm of all things practical isn't confined to hotel rooms. I'd also like to be able to schedule car maintenance as and when the bleeping thing on the dashboard lets me know something's up.

Jennifer Zhu Scott is the co-founder and principal of Radian Blockchain Ventures and Radian Partners, focusing on private investment in the Artificial Intelligence, Blockchain, and renewable energy sectors. Prior, she was head of business development and strategy in APAC for Thomson Reuters and led the firm's speech-to-text, deep search, and video-indexing project. She co-founded one of the first education companies in China and exited before moving to UK as a senior advisor to the education subsidiary of Daily Mail & General Trust. How is Blockchain technology currently applied? First of all, I think we should demystify it. The Blockchain essentially is a decentralised database with a variety of applications, but not universal applications.

Microsoft hasn't posted one of its documentary-style Productivity Future videos for a while now -- not since 2015, I believe. But that doesn't mean the company has stopped'envisioning' what might be next for Office and the workplace. In a new Microsoft .Future podcast episode, called How AI will make meetings less painful, Microsoft drops some hints about some of the latest future concepts that ultimately may inspire its coming products and services, including Cortana. The podcast (which is audio only) mentions that Director of Office Envisioning Anton Andrews and team have "re-envisioned everything -- from what you should expect from a dry erase board, to what you might expect from the floor." Andrews said during the podcast that Microsoft sees the floor people stand on as a potential communications tool, but he didn't elaborate on how/when/if the company may provide more on what that means.

This tutorial clearly explains the steps you need to code your first Amazon Alexa skill app. Learn to code with the helpful of our intuitive tutorials Another important component is intent model. Intent is an important aspect of voice, speech coding Companion blog post http://www.siliconvanity.com/2017/07/...