We undertake a precise study of the non-asymptotic properties of vanilla generative adversarial networks (GANs) and derive theoretical guarantees in the problem of estimating an unknown $d$-dimensional density $p^*$ under a proper choice of the class of generators and discriminators. We prove that the resulting density estimate converges to $p^*$ in terms of Jensen-Shannon (JS) divergence at the rate $(\log n/n)^{2\beta/(2\beta+d)}$ where $n$ is the sample size and $\beta$ determines the smoothness of $p^*.$ This is the first result in the literature on density estimation using vanilla GANs with JS rates faster than $n^{-1/2}$ in the regime $\beta>d/2.$

The battery-powered sedan broadcasts a request to merge into the next lane, and other nearby vehicles automatically adjust as it glides over and exits the highway. Inside, the passenger finishes a quick email check, then clicks on a monitor to catch up with the day's news. For fans of automated vehicles (AVs), it's the holy grail of transportation: Cars would pilot themselves in an orderly fashion, making driving safer, cheaper, and faster. Easy transportation would be available to everyone without the environmental impacts or traffic congestion seen today. But those benefits could be offset or canceled out altogether, skeptics say, if the technology inadvertently encourages more driving among people who can't currently drive, and among commuters who might opt to travel all the way into cities rather than "park and ride."

Visionaries in the field of artificial intelligence in customer service see radical changes on the horizon, with a tipping point lying just a few years in the future. And if the prognostications of these experts--Zendesk partners Rick Nucci of Guru, Mike Murchison of Ada, and Mikhail Naumov of DigitalGenius--come to pass, AI will upend how customer service teams work in ways that will have far-reaching ramifications for companies across the globe. "Customers are going to expect more communication channels, more availability, more languages--faster, better service," says Naumov, author of AI Is My Friend. "Companies are looking for ways to adopt technology to keep up with that level of increasing customer expectations." And, as Naumov, Murchison, and Nucci see it, this is just the beginning.

With the rise of the artificial neural network, which mirrors the interconnected nodes of the human brain, artificial intelligence is ready to graduate to a new level. Artificial neural networks (ANN) are programmed to be cognizant of patterns. ANN can read human speech and synthesize the use of specific words to identify subtle meanings in human communication. The implications are particularly impressive once processing speed is taken into account. The (until now) uniquely human ability to understand the complexities of language, multiplied by the speed of computational efficiency, results in a very effective response program. I know, I know: Your mind is blown; (yes, AI can now write puns like that).

Eventually, these humanoids band together in a plot to take over the world. Is that the future of AI? Will the machine become so powerful that it begins to think to a point where it is more capable than the humans? Notice, I said capable, not powerful. No doubt computers are more powerful at giving us answers faster than human brainpower, but are they more capable? That's what people worry about. No, AI will not take over the world. Movies like I, Robot are science fiction, with an emphasis on the word fiction. All that said, AI is a powerful business tool that is supporting companies and their customer service strategies.

The year is 2035 and humanoid robots, powered by Artificial Intelligence, are part of everyday life. Detective Del Spooner hates robots because he was in a car accident and a robot pulled him to safety while leaving a 12-year-old girl to die – because the odds of her living were statistically lower than Detective Spooner's. That's a little background on the hero from the movie I, Robot, starring Will Smith. Eventually, these humanoids band together in a plot to take over the world. Is that the future of AI? Will the machine become so powerful that it begins to think to a point where it is more capable than the humans?

Artificial intelligence and machine learning have become major buzzwords, but the reality is predictive analytics will have a profound impact on business technology in 2018. TechRepublic's Dan Patterson spoke with Mikhail Naumov, cofounder of DigitalGenius, a company that blends human intelligence with artificial intelligence, to explain how companies use machine learning to improve customer service. Artificial intelligence has become better than humans at performing boring, repetitive tasks, Naumov said. Companies such as Unilever and KLM are providing this technology for their teams, and using it as a tool rather than as a replacement. SEE:IT leader's guide to the future of artificial intelligence (Tech Pro Research) "I think companies and people in general have to realize implementing machine learning and AI isn't an overnight magic trick," Naumov said.

When DigitalGenius participated in the TechCrunch Disrupt Battlefield competition in New York City in 2015, there weren't a lot of companies working on AI and machine learning. Today, it's become much more commonplace, and the company announced a $14.75 million Series A. Global Founders Capital led the round. MMC Ventures, Paua Ventures and several other unnamed new investors also participated They also got help from previous investors Salesforce Ventures, Runa Capital, RRE Ventures, Lumia Capital, Compound and Lerer Hippeau Ventures. Today's investment brings the total to $26 million, according to the company. DigitalGenius may have been ahead of its time, but the market is finally catching up.

Eventually, these humanoids band together in a plot to take over the world. Is that the future of AI? Will the machine become so powerful that it begins to think to a point where it is more capable than the humans? Notice, I said capable, not powerful. No doubt computers are more powerful at giving us answers faster than human brainpower, but are they more capable? That's what people worry about. No, AI will not take over the world. Movies like I, Robot are science fiction, with an emphasis on the word fiction. All that said, AI is a powerful business tool that is supporting companies and their customer service strategies.

Online travel agency TravelBird has been so swamped with business in recent months that it began looking for ways to free up time for its 100 travel advisors so they can continue to assist their customers while still finding time to answer a constant flood of incoming text chats and other social media inquiries. It's all part of TravelBird's mission to work closely with its customers, helping them to carefully plan and research unique travel opportunities they likely would not have found on their own, Fiona Vanderbroeck-Vernooij, who heads travel service and care for the company, told ITPro. The problem was that the company's travel agents had become so overloaded with incoming texts and other social media messages seeking information on flight changes, airport gates, rental cars and other topics that they were being taxed to keep up with the high level of service being sought by the company, she said. To battle that trend, the company began looking at how technology could help. After a search, it found DigitalGenius, which offers its Human AI Customer Service platform that works with either Salesforce or ZenDesk customer service products to automate many of the repetitive tasks customer service agents face every day.