Christie's will auction off an artificial intelligence (AI) artwork for the first time this October, hard on the heels of a pioneering all-AI art exhibition held at …

The maverick of personal computing is looking for its next big thing in spaces like healthcare, AR, and autonomous cars, all while keeping its lead in consumer hardware. With an uphill battle in AI, slowing growth in smartphones, and its fingers in so many pies, can Apple reinvent itself for a third time? Get the detailed analysis on Apple's trove of patents, acquisitions, earnings calls, recent product releases, and organizational structure. In many ways, Apple remains a company made in the image of Steve Jobs: iconoclastic and fiercely product focused. But today, Apple is at a crossroads. Under CEO Tim Cook, Apple's ability to seize on emerging technology raises many new questions. Looking for the next wave, Apple is clearly expanding into augmented reality and wearables with the Apple Watch and AirPods wireless headphones. Apple's HomePod speaker system is poised to expand Siri's footprint into the home and serve as a competitor to Amazon's blockbuster Echo device and accompanying virtual assistant Alexa. But the next "big one" -- a success and growth driver on the scale of the iPhone -- has not yet been determined. Will it be augmented reality, auto, wearables? Apple is famously secretive, and a cloud of hearsay and gossip surrounds the company's every move. Apple is believed to be working on augmented reality headsets, connected car software, transformative healthcare devices and apps, as well as smart home tech, and new machine learning applications. We dug through Apple's trove of patents, acquisitions, earnings calls, recent product releases, and organizational structure for concrete hints at how the company will approach its next self-reinvention. Given Apple's size and prominence, we won't be covering every aspect of its business or rehashing old news. There's strong evidence Apple is once again actively "cannibalizing itself," putting massive resources behind consumer tech that will render its own iPhone obsolete. Augmented reality is the company's biggest bet.

That's a conclusion many shoppers will reach when spotting the JBL Link 300, the mid-range of JBL's Google Assistant-powered Link smart speaker lineup. Its $250 price tag makes for a reasonable port of entry for anyone looking to build a voice-activated, multi-room audio and home-control system on a miserly budget. And since this speaker also supports Google's Chromecast audio technology, the Link 300--and any of its bigger or smaller siblings--can be paired with any other speaker that supports Chromecast. Delivering JBL's signature "California studio monitor" sound--a warm, realistically fleshed out soundstage and presence with soul and the stamina to crank--the Link 300 outperformed the vaunted Sonos One in many of my listening tests. Side Effects), to the rich soloing sonorities of Yo-Yo Ma (Six Evolutions--Bach: Cello Suites) and the elegantly spare acoustic jazz sessions (think Sarah Vaughan, Hank Garland, Bobby Timmons, and Melody Gardot) that are stock-in-trade on TSF Jazz--Paris, my favorite compare/contrast streaming channel. The JBL Link 300 has a much larger footprint its rival smart speaker, the Sonos One, but that extra girth results in bigger bass response.

Did AI write this article?Depositphotos enhanced by CogWorld Imagine how productive Woodward and Bernstein might have been if only they had robots to write their articles for the The Washington Post. With a little A.I. on their side, they might have taken down Nixon in days instead of years. "A lot of people don't realize this, but a lot of the news stories you read now are increasingly written by artificial intelligence," said Stephen Ibaraki, social entrepreneur, futurist and chair at REDDS Capital in an interview for my upcoming book, Uber Yourself Before You Get Kodaked: A Modern Primer on A.I. for the Modern Business, co-authored by Michael Ashley. "You get these news releases about things that are happening in sports, for example, or in business. But people are not creating these pieces anymore. Lots of us are spending hours on our mobile phones reading updates about events and news flashes never realizing it's A.I. that's generating this stuff now."

Data science, analytics, and machine learning are growing at an astronomical rate and companies are now looking for professionals who can sift through the goldmine of data and help them drive swift business decisions efficiently. IBM predicts that by 2020, the number of jobs for all U.S. data professionals will increase by 364,000 openings to 2,720,000. We caught up with Eric Taylor, Senior Data Scientist at CircleUp in a Simplilearn Fireside Chat to find out what makes data science such an exciting field and what skills will help professionals gain a strong foothold in this fast-growing domain. Watch the complete Fireside Chat recording here or read on to find out everything new and exciting about data science. People have tried to define data science for over a decade now, and the best way to answer the question is probably via a Venn diagram.

Deepfakes, ultrarealistic fake videos manipulated using machine learning, are getting pretty convincing. And researchers continue to develop new methods to create these types of videos, for better or, more likely, for worse. The most recent method comes from researchers at Carnegie Mellon University, who have figured out a way to automatically transfer the "style" of one person to another. "For instance, Barack Obama's style can be transformed into Donald Trump," the researchers wrote in the description of a YouTube video highlighting the outcome of this method. The video shows the facial expressions of John Oliver transferred to both Stephen Colbert and an animated frog, from Martin Luther King, Jr. to Obama, and from Obama to Trump.

Deepfakes, ultrarealistic fake videos manipulated using machine learning, are getting pretty convincing. And researchers continue to develop new methods to create these types of videos, for better or, more likely, for worse. The most recent method comes from researchers at Carnegie Mellon University, who have figured out a way to automatically transfer the "style" of one person to another. "For instance, Barack Obama's style can be transformed into Donald Trump," the researchers wrote in the description of a YouTube video highlighting the outcome of this method. The video shows the facial expressions of John Oliver transferred to both Stephen Colbert and an animated frog, from Martin Luther King, Jr. to Obama, and from Obama to Trump.

As part of the repository of data science tools I have been building over the past few weeks, I wanted to include some basic NLP / text-mining techniques in R. In thinking of a use case, I decided to kill two birds with one stone: teach myself a new skill, and build a cool gift for my SO! The result (link included below) is pretty basic, but hopefully you'll find it helpful! If you have ever wanted to work with text message data, are intrigued by NLP / text-mining in general, or you're the foremost expert on all things NLP (which I DEFINITELY am not), I hope there's something fun and insightful for all of you here. I look forward to your constructive criticism, and hope you enjoy this and/or any of other material I've assembled:)