People often ask me about the impact of 3D printing on jobs. Will the technology be a job creator or destroyer? The short answer is, it will take more jobs than it makes -- and 3D printing is not alone. Technology will eventually make work obsolete. Our big problems are going to be figuring out how to survive the transition, then figuring out what to do with all that free time. About 10 years ago, inventor, futurist and now Director of Engineering at Google Ray Kurzweil famously embraced the concept of "the singularity" -- that moment in time when machine intelligence surpasses our own. Kurzweil predicted the singularity would occur by 2045, and man and machine would become inseparable.

Breast cancer is the most frequently diagnosed cancer in women worldwide excluding skin cancer and it is ranked second for deaths among cancer patients [1]. Early diagnosis of breast cancer is crucial for patient prognosis. Currently, however, clinically diagnosed breast tumors have a median size of 2 to 2.5 cm [2], which are likely to be later stage (stage III) breast tumors that have already metastasized to axillary lymph nodes. A highly accurate diagnostic test for breast cancer is currently lacking. The standard mammography test has sensitivities of merely 54 to 77 % [3].

Before assessing the potential impact Artificial Intelligence can have in the health insurance industry, it's important to understand what the term "AI" really means. In general, AI refers to a series of algorithms that can collect, process and analyze data on their own, without being explicitly programmed, to make predictions and insights far beyond the capabilities of manual processing. Originally conceived back in the 1950's companies have been attempting to design and improve machine learning models for decades only to have seen little commercial success. But thanks to hardware advances and the emergence of big data analytics, companies are recognizing and taking advantage of the true power of AI. In the health insurance space, there are many opportunities where AI and analytics can be applied to increase organizational productivity and drive new competitive advantages in today's fast-paced and complex business environment. One of the channels to increase productivity is through improved fraud detection, which is a major issue in the health insurance industry.

Make room, stethoscope and otoscope. Artificial intelligence (AI) applications are increasingly among the physician's standard instruments,experts at the University of Toronto say. "With electronic records, you can use text algorithms to read a patient's history, review their genetic predispositions, and correlate the information to make predictions," says Dr. Frank Rudzicz. Rudicz is one of five experts exploring the issues of privacy, accuracy and accountability at The Robot Will See You Now – the Revolution in Artificial Intelligence and Medicine at U of T on April 5. A research scientist with the Toronto Rehab Institute and an assistant professor (status only) in the department of computer science at the University of Toronto, Rudzicz is also a project lead within a federally funded national research network in technology and aging known as AGE-WELL NCE.

According to observations from many of the human workers still employed by one such restaurant, the robots simply lacked the intelligence, artificial or otherwise, to effectively wait on guests. Of the three restaurants in the southern Chinese city of Guangzhou that attempted the practice, only one remains open, and that eatery is now currently only using one of the robots it initially employed. One of the establishments employed as many as 10 robots at one time. The gimmick reportedly had some short-term benefit of driving customers through the door. However, those guests reportedly were just as quickly turned away by food that was generally considered "unpalatable" for guests, according to reports.

The team of three so-called "suit wranglers" told me to relax as they strapped me into the contraption, but the heart rate monitor attached to my finger gave away the fact that I was a little uncertain as to what I had gotten myself into last week. "Do you normally have a high heart rate?" one technician inquired. During a visit to the Liberty Science Center in Jersey City last Thursday, I had happened across a preview of a new exhibit that was opening to the public the next day, Friday, April 1. The exhibit, The Genworth R70i Aging Experience, featured the just-unveiled Genworth R70i Age Suit – an augmented reality suit that simulates the sensory impairments that come as people age. The high-tech suit I was being strapped into was created by Applied Minds co-founder and inventor Bran Ferren, who partnered with Genworth Financial to create it with the goal of sparking a conversation among young people about aging and senior care.

If you've been following IBM's Watson project and like food, you may have noticed growing excitement among chefs, gourmands and molecular gastronomists about one aspect of its development. The main Watson project is an artificial intelligence that engineers have built to answer questions in native language -- that is, questions phrased the way people normally talk, not in the stilted way a search engine like Google understands them. And so far, it's worked: Watson has been helping nurses and doctors diagnose illnesses, and it's also managed a major "Jeopardy!" Now, Chef Watson -- developed alongside Bon Appetit magazine and several of the world's finest flavor-profilers -- has been launched in beta, enabling you to mash recipes according to ingredients of your own choosing and receive taste-matching advice which, reportedly, can't fail. While some of the world's foremost tech luminaries and conspiracy theorists are a bit skeptical about the wiseness of A.I., if it's going to be used at all, allowing it to tell you what to make out of a fridge full of unloved leftovers seems like an inoffensive enough place to start. I decided to put it to the test.

Having close access to ultra-successful people can yield some pretty incredible information about who they really are, what makes them tick, and, most importantly, what makes them so successful and productive. Kevin Kruse is one such person. He recently interviewed over 200 ultra-successful people, including 7 billionaires, 13 Olympians, and a host of accomplished entrepreneurs. In analyzing their responses, Kruse coded the answers to yield some fascinating suggestions. What follows are some of my favorites from Kevin's findings.

LONDON--(BUSINESS WIRE)--According to the latest research study released by Technavio, the global FinTech investment market is expected to grow at a CAGR of over 53% until 2020. This research report titled'Global FinTech Investment Market 2016-2020', provides an in-depth analysis of market growth in terms of revenue and emerging market trends. This market research report also includes up to date analysis and forecasts for various market segments and all leading regions. "FinTech companies seek new means to store, analyze, and search vast amounts of data. Such analysis is anticipated to help them segment customer populations, identify opportunities for new products and services, and optimize pricing mechanisms. A key example is this is seen with the pooling of social network data with fund management and investments in relation to company analysis and management. The use of big data and new data can improve investment decisions, and also help arrive at a comprehensive credit scoring mechanisms," said Soumya Mutsuddi, one of Technavio's lead research analysts for gaming.

Netflix, Facebook, and Google can offer suggestions about TV shows, products, and companies that a user might be interested in based on trends. This is often done with machine learning, a computer science sub-field that uses pattern recognition and computational learning. In addition to providing suggestions for the next show you should binge-watch, researchers at the UW School of Medicine and the Yale University School of Medicine hope to use this technique to predict sepsis mortality in the emergency care setting. "I think we're surpassing our ability to account for these interactions [on our own]," said Dr. Kennedy Hall, acting instructor of emergency medicine at the UW. "This is where machine learning can come in as an adjunct to help us out."