His mother, Nicole Mancini, is a teacher at the middle school in Scituate. She heard of others using 3-D printers to build prosthetics and approached the high school with the idea. The school hopes to be able to make another arm for Ollie as he grows.

Data mining isn't a new invention that came with the digital age. The concept has been around for over a century, but came into greater public focus in the 1930s. According to Hacker Bits, one of the first modern moments of data mining occurred in 1936, when Alan Turing introduced the idea of a universal machine that could perform computations similar to those of modern-day computers. Forbes also reported on Turing's development of the "Turing Test" in 1950 to determine if a computer has real intelligence or not. To pass his test, a computer needed to fool a human into believing it was also human.

Content marketing has been around since 1895, when the John Deere company started a magazine for farmers. Fast forward to today, when brands have infinite media options for engaging customers--web sites, blogs, videos, social media, podcasts, and webinars among them. Each medium offers a different way to tell a story, educate prospects, and turn customers into advocates. And as 2018 approaches, newer forms of content marketing are gaining traction, including virtual reality (VR), augmented reality (AR), and virtual assistants like Amazon's Alexa. Here are 7 trends content marketers are predicting for 2018.

Some tech trends fizzle out and die a quiet death, while others are so significant that they transform our world and how we live in it. Here are the top nine tech mega-trends that I believe will define 2018 and beyond. From chatting to friends in a messaging app or buying a coffee, to tapping in and out with an Oyster card or streaming music, today almost everything we do leaves a trail of data breadcrumbs. And this increasing datafication of our world has led to an unprecedented explosion in data. Just in the average minute, Facebook receives 900,000 logins, more than 450,000 Tweets are posted, and 156 million emails and 15 million texts are sent.With numbers like that, it's no wonder we're essentially doubling the amount of data created in the world roughly every two years.

The Christmas period is typically shrouded in tradition, from the centuries-old folklore of Santa Claus to the classic festive hits that come back year after year. But with technology's grip on society growing ever-stronger, modern gadgetry is bound to change the way we celebrate the holiday season. A new report has looked into how state-of-the-art technology will shape the'Christmas of the future'. The Amazon study, crafted by leading futurists, claims that 3D-printed food and wish lists generated by artificial intelligence will shape the festive period by 2037. A new report has looked into how state-of-the-art technology will shape the'Christmas of the future'.

Data mining isn't a new invention that came with the digital age. The concept has been around for over a century, but came into greater public focus in the 1930s. According to Hacker Bits, one of the first modern moments of data mining occurred in 1936, when Alan Turing introduced the idea of a universal machine that could perform computations similar to those of modern-day computers. Forbes also reported on Turing's development of the "Turing Test" in 1950 to determine if a computer has real intelligence or not. To pass his test, a computer needed to fool a human into believing it was also human.

Data mining isn't a new invention that came with the digital age. The concept has been around for over a century, but came into greater public focus in the 1930s. According to Hacker Bits, one of the first modern moments of data mining occurred in 1936, when Alan Turing introduced the idea of a universal machine that could perform computations similar to those of modern-day computers. Forbes also reported on Turing's development of the "Turing Test" in 1950 to determine if a computer has real intelligence or not. To pass his test, a computer needed to fool a human into believing it was also human.

Data mining isn't a new invention that came with the digital age. The concept has been around for over a century, but came into greater public focus in the 1930s. According to Hacker Bits, one of the first modern moments of data mining occurred in 1936, when Alan Turing introduced the idea of a universal machine that could perform computations similar to those of modern-day computers. Forbes also reported on Turing's development of the "Turing Test" in 1950 to determine if a computer has real intelligence or not. To pass his test, a computer needed to fool a human into believing it was also human.

This type of approach is extremely versatile, and allows manufacturing teams to visualize large design projects through miniature scale models, design and create small runs of custom parts and equipment for customers and prototype new products. As 3D printing speeds increase, Gartner predicts the 3D printing industry will be a $4.6 billion market by 2019. Until now, the primary application for 3D printing in discrete industries has been prototyping new parts and equipment, but there's significant room for expansion, especially in the efficient fabrication of spare parts. Most discrete manufacturers are already producing spare parts, but few have adopted tactical 3D printing as an update to their process. The lead time currently required to create many spare parts can be both long and expensive, so the only way to ensure these parts are available to the customer in a timely fashion is to create and store them in advance.

Data mining isn't a new invention that came with the digital age. The concept has been around for over a century, but came into greater public focus in the 1930s. According to Hacker Bits, one of the first modern moments of data mining occurred in 1936, when Alan Turing introduced the idea of a universal machine that could perform computations similar to those of modern-day computers. Forbes also reported on Turing's development of the "Turing Test" in 1950 to determine if a computer has real intelligence or not. To pass his test, a computer needed to fool a human into believing it was also human.