Sentence examples for reaping machine from inspiring English sources

The elder McCormick had invented several practical farm implements but, like other inventors in the United States and England, had failed in his attempt to build a successful reaping machine.

But when mass production introduced cast-iron and steel plows that cut through soil more smoothly, farmers began hitching them to horses instead of oxen, and when Obed Hussey and Cyrus McCormick invented reaping machines in the 1830s, human farmers hung up their scythes and let horsepower take care of harvesting.

Rather than modify their business practices, an F.T.C. court filing says, "defendants adopted strategies that allowed their fraud machine to continue reaping millions of dollars from unsuspecting customers".

Instead of sustained, focused questioning about Steve Mnuchin's role running what activists called a "foreclosure machine" and personally reaping an estimated $380 million in the process, Democrats tried to pin Trump's treasury secretary pick down on a huge swath of tax, trade and regulatory policies.

Understanding the behaviour of the machines powered by artificial intelligence that increasingly mediate our social, cultural, economic and political interactions is essential to our ability to control the actions of these intelligent machines, reap their benefits and minimize their harms.

And they are now reaping the benefits by using next-generation, intelligent technologies, such as machine learning, to accelerate their business.

Groupon's success has helped turn the company into a cash-generating machine, signing up more than 12 million registered users and reaping more than $350 million in estimated annual revenue.

Armed with knowledge, understanding, and reasonable expectations, you are set to reap the benefits of machine learning.

This model proposes a novel approach, called committee machine, to reap beneficial advantages aforementioned three models through the combination of them.

Acemoglu and Pascual Restrepo of Boston University argue that businesses are not even reaping large rewards for the money they are spending to replace their workers with machines.

With roughly 100 patents pending and more than 30 machine learning systems in place, the company's 42 million customers worldwide are already reaping the benefits.