The fourth industrial revolution and oncoming of the second machine -- as it is being often hailed -- has led to new disruptive technologies emerging, even as many bit the dust in the last few years. So how do CEOs and their top teams even begin to make sense of the swirl of technological breakthroughs affecting business today? How do they gauge the impact of artificial intelligence on their companies' future compared with, say, the Internet of Things or virtual reality? A PwC study some time back identified top eight disruptive technologies that matter now, and will have far-reaching impact in the days to come. The team tracked more than 150 discrete technologies and analyzed for technologies with the most cross-industry and global impact over the coming years.

A team of researchers, scientists and engineers from France have created a 3D printed house in just a matter of hours. For the first time ever, the four-bedroom house will serve as a permanent home for a family of five. The 1,022-square-foot house, located in the northwestern French city of Nantes, only took about two days - or 54 hours - to complete. A team of researchers, scientists and engineers from France have created a 3D printed house in just a matter of hours. Developers share promo for VR tour of Queen Nefertari's tomb Queen'stumbles' on stairs as she leaves Westminster Abbey service Piers Morgan accuses Sadiq Khan of'hypocrisy' over Trump blimp A team of researchers, scientists and architects designed a 3D printed house in Nantes, France.

There are 7 billion people on this planet. And by 2050, there will be 2 billion more...many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work.

I expected my summer engineering internship to include things like updating old 3-D models, creating part designs, and learning the ins and outs of how a company works. I didn't expect it to involve learning to make my colleagues obsolete. It was the summer after my sophomore year of college, at a company in Southern California. At the beginning of the internship, my manager asked me to implement 3-D printing to streamline a complicated mold-making process. I have long been obsessed with 3-D printing (I own two machines myself), so I was thrilled to introduce it into the business.

I can't run a starship with twenty crew. KIRK: And what am I supposed to do? WESLEY: You've got a great job, Jim. All you have to do is sit back and let the machine do the work. One clear message from the presidential election is that the dream of good factory jobs still resonates in America's rust belt. Despite the push for students to pursue STEM careers or move into the service sector, Americans still want to make stuff.

In the past the applications of metal additive manufacturing, otherwise known as 3-D printing, have primarily been confined to prototyping. Recently, the field has begun to undergo a major transition, as researchers push closer to developing metal 3-D printing as a reliable form of industrial manufacturing. However, there are still major obstacles to tackle before the field can fully make the leap, especially in high-risk applications such as aviation components. "One of the biggest hurdles between just making a part that looks good and actually putting it on an aircraft is making sure that the part you're producing doesn't have flaws in it," says mechanical engineering (MechE) alumnus Luke Scime. Scime worked with MechE's Jack Beuth, director of the NextManufacturing Center, to develop a machine learning algorithm that detects anomalies within a part as it's being printed--a practice known as process monitoring.

In the past the applications of metal additive manufacturing, otherwise known as 3-D printing, have primarily been confined to prototyping. Recently, the field has begun to undergo a major transition, as researchers push closer to developing metal 3-D printing as a reliable form of industrial manufacturing. However, there are still major obstacles to tackle before the field can fully make the leap, especially in high-risk applications such as aviation components. "One of the biggest hurdles between just making a part that looks good and actually putting it on an aircraft is making sure that the part you're producing doesn't have flaws in it," says mechanical engineering (MechE) alumnus Luke Scime. Scime worked with MechE's Jack Beuth, director of the NextManufacturing Center, to develop a machine learning algorithm that detects anomalies within a part as it's being printed--a practice known as process monitoring.

By Jennifer Chu MIT engineers have created soft, 3-D-printed structures whose movements can be controlled with a wave of a magnet, much like marionettes without the strings. The menagerie of structures that can be magnetically manipulated includes a smooth ring that wrinkles up, a long tube that squeezes shut, a sheet that folds itself, and a spider-like "grabber" that can crawl, roll, jump, and snap together fast enough to catch a passing ball. It can even be directed to wrap itself around a small pill and carry it across a table. The researchers fabricated each structure from a new type of 3-D-printable ink that they infused with tiny magnetic particles. They fitted an electromagnet around the nozzle of a 3-D printer, which caused the magnetic particles to swing into a single orientation as the ink was fed through the nozzle.

India's Mahindra & Mahindra, one of the biggest suppliers of smaller tractors to the U.S., and other manufacturers are racing to develop what they see as the future of farming: robo-tractors and other farming equipment to help produce more food, more sustainably at a lower cost. John Deere has tractors and combines on the market that free the driver in the cabin from the actual driving so he or she can monitor the crops and adjust pesticide, water and soil levels. Technology from Agco Corp.'s Fendt lets several driverless tractors follow a lead tractor driven by a human. Japanese firms Kubota and Yanmar are planning to launch driverless tractors that they expect to be popular with elderly farmers. The next generation is tractors that can drive entirely by themselves.

Today real-time database company ScyllaDB announced a new Scylla Enterprise release with optimizations for IBM Power System Servers with the IBM POWER9 multi-core architecture. By combining Scylla's highly performant, close-to-the-hardware design with next-generation IBM Power System Servers, organizations can reach new levels of performance while also reducing the footprint, cost and complexity of their systems. ScyllaDB has designed a powerful distributed database that extends the performance advantages we've introduced with our multi-core POWER9 processors," said Tim Vincent, IBM Fellow and Vice President of IBM Cognitive Systems. "The combination of the Scylla NoSQL database and our Power System Servers enables our shared customers to scale up their systems rather than continually scaling out, creating new opportunities for data center consolidation and price performance." This integration builds upon a multi-faceted relationship between ScyllaDB and IBM. In 2016, IBM Compose began providing Scylla as part of their database-as-a-service offering. The collaboration has since grown to include additional IBM divisions, including IBM Systems (both IBM Power Systems and Z Systems), IBM Cloud (including IBM Graph as a service) and IBM's internal use of Scylla to power the IBM Cloud Service Catalog. Scylla is an open source drop-in replacement for Apache Cassandra. It delivers scale-up performance of 1,000,000 IOPS per node, scales out to hundreds of nodes, and consistently achieves a 99% tail latency of less than 1 millisecond. Scylla's pioneering shard-per-core implementation, asynchronous architecture and auto-tuning capabilities enable organizations to immediately leverage the full advantages of the multi-core POWER9 chip. IBM Power Systems servers are designed for mission-critical applications and emerging Cognitive Era workloads including artificial intelligence, machine learning, deep learning, advanced analytics and high-performance computing. Whether deployed in a private, public or hybrid cloud, Power System Servers are capable of performing millions of I/O operations per second. Because Scylla operates asynchronously, it is able to take full advantage of the speed of the POWER9 processor, driving both I/O and CPU processing in a way that scales linearly with the number of cores on the CPU. We are excited by the many advancements IBM has made with its Power System Servers," said Dor Laor, CEO of ScyllaDB.