Category: Smart X

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Commercial UAV Expo Europe: PwC Names 7 Trends in the Drone Industry

Posted By Harry McNabbon on April 09, 2019 Michael Mazur, Consulting Partner and head of PwC Drone Powered Solutionsdelivered one of the Keynote addresses at the Commercial UAV Expo Europetoday in Amsterdam, naming 7 trends that the investment firm sees shaping the industry. 1) Telecom will be a major beneficiary of the drone industry. Mazur says that…
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Research Report – Speed is King: How Digital Manufacturing Can Accelerate Lean Production

Entrepreneurs, project managers and engineers know the importance of time-to-market for a successful product launch. No matter where a manufactured part or product is headed, it’s critical to maximize the speed and efficiency of its production.  Lean manufacturing is synonymous with this goal. But beyond kaizen, kanban and a whole glossary of other Japanese terms,…
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7 Innovative Uses of Clustering Algorithms in the Real World

on 04 April Clustering algorithms are a powerful technique for machine learning on unsupervised data. The most common algorithms in machine learning are hierarchical clustering and K-Means clustering. These two algorithms are incredibly powerful when applied to different machine learning problems. Both k-means and hierarchical clustering have been applied to different scenarios to help gain new insights into the problem. Before…
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A novel data-compression technique for faster computer programs

APRIL 16, 2019 by Rob Matheson, Massachusetts Institute of Technology A novel technique developed by MIT researchers rethinks hardware data compression to free up more memory used by computers and mobile devices, allowing them to run faster and perform more tasks simultaneously. Data compression leverages redundant data to free up storage capacity, boost computing speeds, and provide…
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Transfer Learning

Niklas Donges on Apr 23, 2018 Transfer Learning is the reuse of a pre-trained model on a new problem. It is currently very popular in the field of Deep Learning because it enables you to train Deep Neural Networks with comparatively little data. This is very useful since most real-world problems typically do not have…
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Seven rules for nanotech innovation

12 Apr 2019This article first appeared in the 2019 Physics World Focus on Nanotechnology & Nanomaterials Back in 2000, the field of nanotechnology was just starting to shift from something that involved tiny robots and molecular gearwheels to real, tangible science with potential applications. In October that year, I organized the first Trends in Nanotechnology…
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Using Drones for Sugarcane Agriculture

By Vidi Nene Published on April 16, 2019 Drones have been used for data collection and analysis for better planning in agriculture and for crop management for some time now. In a recent studycarried out by the Brazilian National Institute for Space Research–Remote Sensing Division at São José dos Campos in São Paulo, drones were used…
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Agriculture 4.0: How digital farming is revolutionizing the future of food

By Teena Maddox on December 12, 2018 The next step in feeding the world’s rapidly growing population involves self-driving tractors, precision farming, and Internet of Things sensors to quantify agriculture in vast new ways. In Tennessee, the owners of a farm dating back to the mid-1800s are changing how they grow food in dramatic ways.…
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Smart farming: How IoT, robotics, and AI are tackling one of the biggest problems of the century

By Charles McLellan on December 12, 2018 It’s still early days for precision agriculture, but two UK-based projects are proving the feasibility and value of the concept. The world’s human population currently stands at around 7.6 billion and is projected to reach 11.2 billion by 2100. We will therefore need a food production and distribution…
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