machine learning
machine learning

Who Will Survive The Machine-Learning Revolution? – AdExchanger

AdExchangerWho Will Survive The Machine-Learning Revolution?AdExchangerMachine learning (ML) is a very trendy term, raising huge expectations on one end and creating fantastic fears on the other. Even if there is a lot of “ML-washing” among the ad tech…

Machine Learning’s ‘Amazing’ Ability to Predict Chaos – Quanta Magazine


Quanta Magazine

Machine Learning’s ‘Amazing’ Ability to Predict Chaos
Quanta Magazine
In a series of results reported in the journals Physical Review Letters and Chaos, scientists have used machine learning — the same computational technique behind recent successes in artificial intelligence — to predict the future evolution of

Alexa Can Now Make You a Better Call of Duty Player – Variety – Variety

VarietyAlexa Can Now Make You a Better Call of Duty Player – VarietyVarietyA new Alexa Skill launched in beta today that uses machine learning to analyze and improve your gameplay in "Call of Duty: WWII."Call of Duty: WWII Alexa Skill gives y…

DHL Gets Logical – And Logistical – About Machine Learning – The Next Platform

The Next PlatformDHL Gets Logical – And Logistical – About Machine LearningThe Next PlatformFor the past several years, machine learning as evolved by the hyperscalers has been trickling down from on high, through frameworks and services, into enterpri…

The Difference Between Consumer and Industrial Machine Learning – Automation World


Automation World

The Difference Between Consumer and Industrial Machine Learning
Automation World
Machine learning may sound like a technology we will use at some point in the future, but it’s a technology many, if not most, of us interact with on a daily basis. If you’ve ever asked Siri to “call home” or seen name tagging suggestions appear while

Machine learning may reveal cause-effect relationships in protein dynamics data – European Pharmaceutical Review


European Pharmaceutical Review

Machine learning may reveal cause-effect relationships in protein dynamics data
European Pharmaceutical Review
The group’s work demonstrates how machine learning approaches can be used to identify cause-effect relationships within data. Beyond this, “these techniques are allowing us to plug critical gaps in protein allostery,” Prof Varma said. “Ultimately, when

Jordan Peele Uses Machine Learning Tools to Make a Fake Obama Warn Us About ‘Fucked-Up Dystopia’ – Gizmodo


Gizmodo

Jordan Peele Uses Machine Learning Tools to Make a Fake Obama Warn Us About ‘Fucked-Up Dystopia’
Gizmodo
As our descent into national madness continues, some have been sounding warning bells about a possible “fake news apocalypse”—the idea that technology is making it easier than ever to generate disinformation and propaganda and quickly disseminate it
Jordan Peele’s Obama PSA is a double-edged warning against fake …Vox
Donald Trump | HuffPostHuffington Post
This PSA About Fake News From Barack Obama Is Not What It AppearsBuzzFeed News
The Hill –Variety
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How To Close The Talent Gap With Machine Learning – Forbes – Forbes

ForbesHow To Close The Talent Gap With Machine Learning – ForbesForbesAI and machine learning make it possible to shift focus away from being transactional and more on building relationships with every candidate, current associate, and high-potential e…

How Plentiful Are Machine Learning Jobs In 2018? – Forbes

ForbesHow Plentiful Are Machine Learning Jobs In 2018?ForbesIndia has the largest IT consulting industry in the world, and machine learning has become a central service offered by every consulting company. China recently announced their intention to be…

Seven Affordable Ways To Incorporate Machine Learning And AI Into Your Business – Forbes


Forbes

Seven Affordable Ways To Incorporate Machine Learning And AI Into Your Business
Forbes
From chatbots and automation to smart office gadgets, artificial intelligence (AI) technology has become increasingly prominent in the workplace. As smaller businesses see their larger competitors taking advantage of AI and machine learning, they’ve

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