This truck is the size of a house and doesn't have a driver

#artificialintelligence

Mining company Rio Tinto has 73 of these titans hauling iron ore 24 hours a day at four mines in Australia's Mars-red northwest corner. BHP Billiton, the world's largest mining company, is also deploying driverless trucks and drills on iron ore mines in Australia. Suncor, Canada's largest oil company, has begun testing driverless trucks on oil sands fields in Alberta. The company's driverless trucks have proven to be roughly 15 percent cheaper to run than vehicles with humans behind the wheel, says Atkinson--a significant saving since haulage is by far a mine's largest operational cost.



Why "How many jobs will be killed by AI?" is the wrong question

#artificialintelligence

Over the past few years we've developed artificially intelligent machines that can do many things that used to require human minds: understanding speech, diagnosing disease, checking the terms of a contract, designing a mechanical part from scratch, even coming up with new scientific hypotheses that are supported by subsequent research. As this new software is embedded in hardware we'll get self-driving cars, trucks, and combines; delivery and inspection drones; and robots of many kinds. These technologies are improving more quickly than even their creators would have predicted at the start of the decade, and the fact that the world's best players of both the Asian strategy game go and no limit heads up Texas hold-em poker are now AI systems indicates just how deeply they're encroaching into human territory. So shouldn't we be preparing ourselves for massive AI-induced technological unemployment? A widely cited 2015 analysis by Carl Frey and Michael Osborne of Oxford University found that 47% of current jobs in the US were susceptible to computerization.


Robot trucks do the jobs Australians shun - BBC News

AITopics Original Links

Robots may hold the key to preventing an industrial crisis in a country whose geography makes many key jobs undesirable. I knew Australia was big, but it didn't really hit me till I stood on a viewing platform hanging over a valley in the Blue Mountains. As I watched the land fall away below me, giving way to a valley of forest that stretched to the horizon, I could feel thousands of miles of silence sucking me in like a vacuum. Part of Australia's beauty is also its problem. Its untamed, uninhabited interior contains rich pickings, but there are few who want to go and get them.


Integrated Operations (Re-)Scheduling from Mine to Ship

AAAI Conferences

Mining companies have complex supply chains that start from the mining location and stretch thousands of kilometers to the end customer in a different country and continent. The logistics of moving the materials from mines to ship is composed of series of optimization problems like berth allocation , ship scheduling , stockyard scheduling , and rail scheduling , which are individually NP-hard. In this paper, we present a scheduling application, called as IBM Optimization: Mine to Ship , for end-to-end integrated operations scheduling. The application is built on IBM ILOG ODM Enterprise with advanced features like rescheduling under deviations and disturbances, and maintenance scheduling. The modeling and computational complexity of integrated scheduling optimization is tamed using hybrid optimization technique that leverages mathematical programming and constraint programming. The application will benefit the mining companies with increased resource usage, higher throughput, reduced cost of operations, and higher revenue.