Apple is continuing to add to its team of machine learning experts in Cupertino. TechCrunch reports that Apple has acquired Tuplejump, which describes itself as a service that "presents all your data in a familiar format" on their now-removed website. Apple buys smaller technology companies from time to time, and we generally do not discuss our purpose or plans. The report notes that Tuplejump is based in part in India as well as the United States and doesn't disclose the terms of the acquisition. We're hearing that Apple was particularly interested in "FiloDB", an opensource project that Tuplejump was building to efficiently apply machine learning concepts and analytics to massive amounts of complex data right as it streamed in.

Last summer, I was at a conference having lunch with Hal Daume III when we got to talking about how "Bayesian" can be a funny and ambiguous term. It seems like the definition should be straightforward: "following the work of English mathematician Rev. Thomas Bayes," perhaps, or even "uses Bayes' theorem." But many methods bearing the reverend's name or using his theorem aren't even considered "Bayesian" by his most religious followers. Why is it that Bayesian networks, for example, aren't considered… y'know… Bayesian? As I've read more outside the fields of machine learning and natural language processing -- from psychometrics and environmental biology to hackers who dabble in data science -- I've noticed three broad uses of the term "Bayesian."

It's certainly an exciting time be involved in Natural Language Processing (NLP), not only for those of us who are involved in the development and cutting-edge research that is powering its growth, but also for the multitude of organizations and innovators out there who are finding more and more ways to take advantage of it to gain a competitive edge within their respective industries. With the global NLP market expected to grow to a value of 16 billion by 2021, it's no surprise to see the tech giants of the world investing heavily and competing for a piece of the pie. More than 30 private companies working to advance artificial intelligence technologies have been acquired in the last 5 years by corporate giants competing in the space, including Google, Yahoo, Intel, Apple and Salesforce. It's not all about the big boys, however, as NLP, text analysis and text mining technologies are becoming more and more accessible to smaller organizations, innovative startups and even hobbyist programmers. NLP is helping organizations make sense of vast amounts of unstructured data, at scale, giving them a level of insight and analysis that they could have only dreamed about even just a couple of years ago.

'Everyone concerned with the future of work must read this book.' "[The Rise of the Robots is] about as scary as the title suggests. Ford issues a stark warning that automation in the form of robotics is moving beyond the menial jobs to put the rest of us out of work. Read it now before it is too late." "As Martin Ford documents in Rise of the Robots, the job-eating maw of technology now threatens even the nimblest and most expensively educated...the human consequences of robotization are already upon us, and skillfully chronicled here."

A simple cryptography method can produce the unusual language-like features of a mysterious manuscript from the Middle Ages. The finding suggests that the famous Voynich manuscript may be an elaborate hoax, not a secret language to be decoded. The manuscript has baffled cryptographers since book dealer Wilfrid Voynich found it in an Italian monastery in 1912. It contains hundreds of pages of fine calfskin parchment, which scientists have dated to the first half of the 15th century. Pages of indecipherable text are accompanied by illustrations of exotic unidentified plants, naked nymphs and plant-based pharmaceuticals, astrological diagrams, and other material that no one has been able to identify.

As if quantum computing wasn't mind-bending enough, one of D-Wave Systems' founders is now pursuing another futuristic idea: using artificial intelligence and high-tech exoskeleton suits to allow humans--and, at least according to one description of the technology, monkeys, too--to control and train an army of intelligent robots. Geordie Rose is a co-founder and chief technology officer of D-Wave, the Canadian company selling machines that it claims exploit quantum mechanical effects to solve certain problems hundreds of millions times faster than traditional computers. Now an IEEE Spectrum investigation has discovered that Rose is also CEO of Kindred Systems (aka Kindred AI), a stealthy startup he founded with others in 2014 dedicated to delivering advanced teleoperated and autonomous robots. The goal is making programming robots faster and less costly–and possibly revolutionize the world of work. According to a business analyst who worked for the company, Kindred has already completed a 10 million Series A funding round.

On the island of Santorini, Greece, a group of AIs has been facing off in an epic battle of Doom. This is VizDoom, a contest born from one man's idea: To improve the state of artificial intelligence by teaching computers the art of fragging. That simple notion then spiraled into a battle between tech giants, universities and coders. Over the past few months they've all been honing their bots (known as "agents"), building up to one, final death match. Okay, it was a lot more than one match.

Investment into the digital health market topped 4.5 billion in 2015, and we are seeing an acceleration of investment in 2016. According to StartUp Health, investment into the digital health market for the first half of 2016 reached 3.9 billion. Early-stage innovation made up more than 65% of deals, with the majority of investment capital it going into Series A rounds. As of July, patient and consumer products, which include wearables, are leading with over 960 million invested in this sector, followed by wellness at 854 million, personalized health at 524 million, big data/analytics at 406 million and workflow at 328 million. Digital health research and population health are at the bottom of the start-up health company's list, with 65 million and 55 million, respectively. It's no surprise that we are seeing digital health M&A activity coming from tech giants such as Google, Apple and IBM.

A.I. Artificial Intelligence tell story about "Eleven-year-old David is the first android with human feelings. He is adopted by the Swinton family to test his ability to function. Before they are done testing him though David goes off on his own following his wish to be a human. He is on an odyssey to understand the secret to his existence. A science fiction film from Steven Spielberg taken over from Stanley Kubrick.."

In the hundreds of researcher and executive interviews we've been fortunate enough to conduct in the last three years, few artificial intelligence applications are brought up more than marketing and advertising. During talks with execs and researchers from companies ranging from Facebook to Baidu, and IBM to AT&T, marketing has been a perennial theme in conversations of AI's hottest applications. We'll begin with examples of what's currently viable in the AI marketing world: Below are seven extremely prevalent example applications that we've decided to highlight for this article, accompanied by a brief description of how the AI approach works, and companies currently leveraging the application. In this section of the article I've aimed to stay away from (a) applications with limited traction (speculative or burgeoning applications are reserved for the next section), and (b) AI applications that have only partial overlap with marketing today (IE: fraud and security could / should be considered to be their own category, and will not be referred to here as a marketing application). A complete list of currently viable AI marketing applications would be much more broad, but we've decided to focus on some of the most popular uses in marketing today: In 2005, if you "searched" an eCommerce store to find a product, you'd be unlikely to find the result you had in mind unless you knew it's name or title exactly.