At 180 years old, John Deere has become a household name that conjures images of farmland, tractors and rural America. But what's less known about the iconic company is that it's become a leading tech innovator in the precision agriculture space, and in many ways, serves as an example of how every business is digital. A year ago, John Deere bought a Silicon Valley-based artificial intelligence (AI) startup called Blue River, and it's now working to incorporate machine learning, deep learning, and robotics into the brains of its farm equipment. The goal is to use automated driving technology, computer vision, telematics, and cloud-based mobile applications to help farmers double or triple their yields -- a feat that will be key to keeping up with global food demands as the Earth's population grows over the next thirty years. "By 2050, there's going to be nine billion people on the planet," said Terry Pickett, manager of advanced engineering for John Deere's Intelligent Solutions Group.
The future is folding, if the exhibits at a major New York tech exhibition are to be believed. Pocket size drones, 3D printers, phone accessories and cutting-edge wearables all took center stage at CE Week, which kicks off today. CE Week is designed to showcase products and services set to launch in the second half of 2016, which all focus around the world of technology. 'This is the year that a new ecosystem of products that communicate with other products, immersive entertainment systems and emerging technologies will really begin to take hold,' said Eric Schwartz, executive producer, CE Week. 'CE Week is a way for those most passionate about technology to see the future, now.' 'New York City, with its burgeoning finance, media and high tech industries provides a great backdrop.'
If you had watched the Marvel blockbuster Avengers: Infinity War (no spoilers ahead), one aspect that would have stood out was how the universe seems so small and inter-connected, what with all the intergalactic space travel and interaction between different beings. We experience that in reality here on planet Earth through the magic of globalisation, which can be described as the process by which the world is becoming increasingly interconnected. Economic and technological globalisation, in particular, have influenced the massively increased production of goods and services, as well as trade and information exchange. As a result of these interconnections, what happens in the stock exchanges of New York or the business hubs of Shanghai will have repercussions in Singapore, and vice versa. Despite the current global geopolitical climate of anti-free trade sentiments from some quarters, globalisation is in fact continuing its forward march--but along new and exciting paths.
If you've ever wanted to get your hands on the Mona Lisa, you may just be in luck. For researchers have found a way for art fanatics to create their own version of a priceless masterpiece, through a combination of AI and 3D printing. The replicas have been made by researchers from the Massachusetts Institute of Technology (MIT) using a piece of software called'RePaint'. The replicas have been made by researchers from the Massachusetts Institute of Technology (MIT) using a piece of software called'RePaint' (pictured) Despite the progress so far, the team says they have a few improvements to make before they can whip up a dazzling dupe of'Starry Night.' 'If you just reproduce the colour of a painting as it looks in the gallery, it might look different in your home,' says Changil Kim, one of the researchers from MIT that published a paper on the system, which will be presented in December. 'Our system works under any lighting condition, which shows a far greater colour reproduction capability than almost any other previous work.'
While Moog has been making significant process improvements to reduce this workload, Professor Rai at University at Buffalo, part of the SUNY System, has been mastering the art of image recognition using artificial intelligence. Thanks to funding from the UB New York State Center of Excellence in Materials Informatics (CMI), Moog engineers and Professor Rai were able to apply convolutional neural networks to metal additively manufactured parts. The result is a highly trained computer algorithm that can recognize high-quality additive manufactured parts and reject the lower quality ones. The above diagram describes this algorithm and a sample resultant image from this work. This large image has been reconstructed from 144 sub-images that were individually evaluated and colored by the computer algorithm.