Inside Fatigue Science

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Featured in International Mining: Readi deployed by Newcrest, using ML to predict fatigue

We are thrilled to be featured in International Mining's latest article, highlighting the deployment of our predictive fatigue management technology, Readi, by Newcrest Mining at their Lihir gold mine in Papua New Guinea.
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US DoT Study: Readi’s SAFTE can predict 7.3x accident cost from fatigue

A 2013 study by the US Department of Transportation (US DoT) is receiving newfound attention, due to the recent release of ReadiML, the Machine Learning software from Fatigue Science that operationalizes a scientific fatigue prediction model for daily use by transportation fleets.
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The True Cost of Driver Fatigue for Your Trucking Fleet

Fatigue is a well-known hazard in the trucking industry, with truck driver fatigue being a leading causal factor of numerous roadway accidents every year.
Machine Learning predicts truck accidents via ELD data
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Machine Learning breakthrough predicts truck accidents and fatigue from ELD data, improving fleet safety records

Recent advances in Machine Learning are enabling trucking fleets to predict each driver’s probability of getting in a fatigue-related accident on any upcoming shift—before the driver gets behind the wheel.
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Predicting fatigue with machine learning

Enjoy this great article about supporting safety with technology featuring Readi FMIS published by Paul Adair, WDC Staff Writer for Women Driving Change magazine.
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Newcrest’s Lihir mine deploys Readi site-wide for predictive fatigue management

Fatigue Science is proud to announce that Newcrest Mining Limited has deployed its Readi predictive fatigue management technology site-wide at its Lihir mine site in Papua New Guinea.
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Fatigue Science Wins Green Cross Safety Innovation Award

The National Safety Council announced Fatigue Science wins its prestigious Green Cross Award for Safety Innovation.
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Glencore Lomas Bayas implements Readi FMIS

Glencore's Compañía Minera Lomas Bayas (CMLB), a major producer of low-grade oxide copper ore, announced the implementation of Readi FMIS for predictive fatigue management throughout its site located in the Antofagasta Region.