Over the next year and a half, Nest became the face and name of Google's smart home offering, a division that's grown quickly as Google Home/Google Nest has become one of the top two players in the U.S. smart home category, rivaled only by Amazon's Alexa/Echo offerings.

In today's digital dating world, communicating clearly can sometimes get lost in translation. That's why new relationship terms have taken on a life of their own. Here are 5 new dating terms you should know. It's just like the old saying goes – the way to a Tinder date's heart may be through their stomach. An ambitious young man attempted to woo a woman he met through a dating app by showing off his pasta-making skills on Twitter, in a saga that has since gone viral online, as dozens of commenters root for sparks to fly.

'Cognitive' is everywhere these days. IBM Watson is pushing the concepts of Cognitive Computing from cancer research to cooking recipes. VPAs (virtual personal assistants) are gaining acceptance and adoption. Just look at the explosion behind Amazon's Alexa. Every technology show I attend has a few vendors now showing their Alexa interface and sometimes it even works. We're all talking at boxes and we expect those boxes to understand.

Artificial intelligence (AI) is poised to transform the way that marketing professionals work, and how organizations target, engage and connect with customers and prospects. Just like how marketing automation created new tasks and job functions, AI will revolutionize the way marketing is performed – and dictate a new set of job needs and skills. Marketing will be one of the earliest business functions to be massively changed by AI use. In the past decade, marketing automation systems produced enormous amounts of data, much of which has gone unused. AI, which includes machine learning, intelligence process automation, digital assistants, and conversational interfaces, enables more of this data to be used for dozens of marketing applications.

Bank transfers, debit cards, credit cards, e-wallets and mobile wallets: all are used to process the one hundred and twenty-two billion digital transactions made each year in the European Union. At its simplest, the ubiquity of AI enables digital payments by allowing consumers to more easily buy goods and services through services such as digital assistants or recommendation engines, which run on machine learning. But this explosion in the number of the digital payments creates a problem which will also need AI to solve. The increase in web-payments, brings with it the unavoidable risk that volumes of digital-payment fraud will also rise. If we don't act now, fraud is likely to grow as a proportion all transactions.

Fox News Flash top entertainment and celebrity headlines for Nov. 1 are here. Check out what's clicking today in entertainment. A reality TV star in Australia is accused of trying to extort her Tinder date -- and then assaulting him with another man when he refused to pay, according to a new report. Suzi Taylor, who starred on the hit home renovation show "The Block," allegedly lured the 33-year-old victim, whom she met through the dating app, to a home in Brisbane just after midnight Wednesday, News.com.au She then demanded money from him -- but when he refused to comply, Taylor's alleged accomplice, Ali Ebrahimi, entered the room and assaulted the man, police said in a statement.

As developers look toward what makes a well-rounded conversational AI assistant, it's imperative to denote the differences between utility and intelligence. Today's intelligent agents can be useful -- the can sell a product, direct a call or answer a question without human intervention. But the chatbots of the future will be more flexible and interactive and should be able to "offer products and services in a human way," said Sasha Caskey, CTO of digital platform Kasisto. To train a computer to replicate human activity and speech, developers should start with contextual interactions, Karen Myers, lab director at SRI International AI Center, said at the AI World Conference Expo in Boston. The first generations of chatbots were focused on one-off interactions -- book this event on a calendar, answer this specific question or direct a user to a webpage.

I wanted to give a bit more detail to the concept of five levels of AI assistants. We've been talking about it at Rasa for some time, and recently wrote about this on the O'Reilly blog. This is our way of quantifying the path that AI assistants have been following, and will travel over the coming years. This is your guide to understanding the path to true conversational AI. We are still in the early days in the development of AI assistants, as most chatbots can only handle simple question and answer pairs.

Current commercial robots generally contain hard parts that represent a risk to the security of their administrators or there is a point of confinement for their usability. Because of this, soft robots have as of late pulled in impressive consideration, in spite of the fact that their absence of structural inflexibility intensely restricts their utilization in numerous practical applications. In the course of recent years, analysts have tried to make mechanical robotic personal assistants and bionic limbs or prosthetics that consolidate the strength of regular robots with the flexibility of soft robots. More recently, combinations of cellular structures have demonstrated intriguing advancement toward the enhancement of non-trifling abilities, for example, getting a handle on exceptionally shaped articles. In any case, tuning the mechanical properties of the robotic body for custom applications is still exceptionally challenging.

Looking to make the most of current AI technologies and solutions in your business? Register now for the O'Reilly AI Conference in San Jose, September 9–12, 2019, and learn how to leverage AI in your work today. What can artificial intelligence (AI) and machine learning (ML) do to improve customer experience? AI and ML already have been intimately involved in online shopping since, well, the beginning of online shopping. You can't use Amazon or any other shopping service without getting recommendations, which are often personalized based on the vendor's understanding of your traits: your purchase history, your browsing history, and possibly much more.