Sentence examples for enable the machine to from inspiring English sources
The race at Cern now is to collect as much information about the particle as possible before the Large Hadron Collider closes down for about two years at the end of 2012, when engineers are due to carry out repairs to enable the machine to run at its full design energy.
Other modules, like the velocity regulating and the phase switching networks, enable the machines to perform omnidirectional walking as well as reactive behaviors, like obstacle avoidance and different types of tropisms.
According to Ivanova, the neural network technology being deployed will enable the machines to identify targets and make decisions on their own — raising the possibility that unlike current drones, which feature some autonomous functions but still require human operation, these machines could operate entirely independently.
OtherOS enabled the machine to run Linux, the alternative operating system to Microsoft Windows and Apple OS.
I also have a patent on a new A.T.M. technology that enables the machine to ask more inane questions before it physically releases your money.
Political machines are characterized by a disciplined and hierarchical organization, reaching down to neighbourhood and block organizers, that enables the machine to respond to the problems of individual neighbourhoods, or even families, in exchange for loyalty at the polls.
This paper, consequently enables the machine to explain more complex, less constrained activity and interactions among people.
"In addition we've developed a vision system that enables the machine to be very methodical in its clean and not miss sections of floor space".
Thes article originally aproject on VICE US.
Research areas cover new concepts and methods which enable the machine producers to design the potential services in an optimal way, already during the development of the machine.
Those are features which convey sufficient information on the music in order to enable the machine learning algorithm to find correlations between feature and class values.
