Welcome to the Momenta Learning News on Machine Learning. This is issue 81, please feel free to share this post.
Some water utilities have so much data at their disposal it is hard to sift through it all and use it effectively, but software has the potential to change that. “One tool for working with potentially valuable truck loads [of data] is an artificial neural network – a software system that uses machine learning techniques to process tons of data and intelligently answer questions,” Ars Technica reported.
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Machines and medicine have gone hand in hand for the past couple of decades, although for the most part they are used as tools where they can scan a person’s body, but at the end of the day it’s up to the doctor to interpret the findings.
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Machine Learning is a sub-field of computer science that evolved from the study of pattern recognition and computational learning theory in AI. Every large corporation collects and maintains a huge amount of human-oriented data associated with its customers including their preferences, purchases, habits, and other personal information.
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Chat bots have ballooned in popularity in recent months, and now we’re seeing some interesting examples of how that technology, where computers interact and respond to human requests, is being used to solve other problems. Today, Zendesk is taking the wraps off “Automatic Answers”, a service for businesses to reply to emails from customers without ever having a human employee get involved.
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MPI (Message Passing Interface) is the de facto standard distributed communications framework for scientific and commercial parallel distributed computing. The Intel MPI implementation is a core technology in the Intel Scalable System Framework that provides programmers a “drop-in” MPICH replacement library that can deliver the performance benefits of the Intel Omni-Path Architecture (Intel OPA ) communications fabric plus high core count Intel Xeon and Intel Xeon Phi processors.
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Machine learning is infiltrating many industries. Marketers are using complex data algorithms to target customers based on their behaviours, while urban planning firms are creating better transport systems, and health organisations are detecting diseases earlier.
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If there’s one thing the world’s most valuable companies agree on, it’s that their future success hinges on artificial intelligence.
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It’s not unreasonable to suggest the cybersecurity battle is being lost – and on more than one front. Not only are more efficient and organised cybercriminals winning the security arms race against their corporate targets, there’s also a shortage of cybersecurity professionals equipped with the skills required to fight hackers.
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Renewable energy like solar and wind power are changing the way we generate electricity. Our energy production is becoming cleaner and cheaper, and in many countries renewables are starting to overtake fossil fuels as the primary power source. But one of the biggest problems with renewables has yet to be solved: what happens if it’s cloudy?
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It is hyperbole to say deep learning is achieving state-of-the-art results across a range of difficult problem domains. A fact, but also hyperbole. There is a lot of excitement around artificial intelligence, machine learning and deep learning at the moment. It is also an amazing opportunity to get on on the ground floor of some really powerful tech.
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