Category: Research analytics

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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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5 Innovative Ways Procurement Can Use Data Analytics

Bridget McCrea on Apr 08, 2019 We’re all inundated with data in this digital age, but here are some truly useful ways it’s helping buyers work more efficiently and effectively in this competitive business environment. Big data. Key performance metrics. Predictive data analytics. Structured and unstructured data. The list of terms used to describe the…
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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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Optimizing network software to advance scientific discovery

APRIL 16, 2019 by Ariana Tantillo, Brookhaven National Laboratory High-performance computing (HPC)—the use of supercomputers and parallel processing techniques to solve large computational problems—is of great use in the scientific community. For example, scientists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory rely on HPC to analyze the data they collect at the…
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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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The ethics of emerging technologies

APRIL 10, 2019 by Jessica Hallman, Pennsylvania State University In today’s digital age, artificial intelligence and big data are helping people navigate the world in new ways. While many researchers are using these new tools to innovate and advance different disciplines, a few, like Fred Fonseca, are approaching these advancements from a different perspective. “There’s…
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All things could be part of the Internet of Things with new RFID system

APRIL 9, 2019 by University of Michigan Credit: CC0 Public Domain Frying pans, pill bottles, yoga mats, coffee cups and countless other nonelectronic objects could be turned into a network of Internet of Things sensors with a new RFID-based technology from the University of Michigan. The system, called IDAct, bridges the gap between the estimated…
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In Blockchain We Trust

MIT Technology ReviewApr 9, 2018 By Michael J. Casey and Paul Vigna To understand why blockchain matters, look past the wild speculation at what is being built underneath, argue the authors of The Age of Cryptocurrency and its newly published follow-up, The Truth Machine: The Blockchain and the Future of Everything The dot-com bubble of…
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