Category: Artificial Intelligence

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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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Blockchain Applications in Telecommunication

Piotr Jurowiec on Oct 26, 2018 New blockchain applications emerge every day. Many companies are now looking into implementing it and utilize all the usefulness that it brings. Blockchain is one of the new technologies that deal with peer to peer data connection and gives an open, decentralized network to use. Powered by consensus algorithms…
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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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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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The emerging role of AI in Edge Computing

By Zane Tsai on 2018/12/5 The “things” in the Internet of Things are getting smarter, with profound implications for organizations and the way people work and live A rapidly emerging force, artificial intelligence (AI), is taking computing at the edge to a whole new level, in which insights and analysis are provided on the spot,…
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Machine learning is implemented on an IBM quantum processor

14 Mar 2019 by Hamish Johnston Machine-learning algorithms have been run on a quantum computer by physicists at IBM. Although the proof-of-concept demonstration did not involve practical tasks, the team hopes that scaling-up the algorithms to run on larger quantum systems could give machine learning a boost. Machine learning is a type of artificial intelligence…
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18 Blockchain Predictions for 2018

by Andrew Keys on Jan 3, 2018 1.Bitcoin is the generation 0 of blockchain technology… the opening act… the gateway drug … the first inning … MySpace. We must thank her for her work, as none of the following technology would be available without Satoshi’s Bitcoin, but we’re about to go much, much, further. While Satoshi converged…
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Why We Should Fear the Technological Singularity

Namely AI brings a trajectory beyond human regulation.by Michael K. Spencer on Feb 14, 2019 What if artificial intelligence evolved faster than our ability to regulate it? Here’s the part where I tip my hat to deep learning and the radical rate at which NLP is transforming consumer interactions with AI. Beijing is home to…
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11 Myths About Artificial Intelligence and the Edge

Gordon Hands on Mar 06, 2019 1. AI is science fiction. True, AI began as a sci-fi fantasy popularized by visionary writers, but AI is here and now. There are many current applications, depending on how you define artificial intelligence. Although, after solving what was once a complex AI problem, it quickly seems obvious and…
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Recognizing disease using less data

FEBRUARY 25, 2019 by Alexandra George, Carnegie Mellon University, Department of Civil and Environmental Engineering As artificial intelligence systems learn to better recognize and classify images, they are becoming highly-reliable at diagnosing diseases, such as skin cancer, from medical images. But as good as they are at detecting patterns, AI won’t be replacing your doctor…
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