Sentence examples for identify the machine from inspiring English sources
The models can be used to identify the machine design features limiting lathe productivity, as well as the threshold values for choosing good cutting parameters.
The certification shall identify the machine or equipment on which the energy control procedure was being utilized, the date of the inspection, the employees included in the inspection, and the person performing the inspection.
In legacy environments, the supplier consumed a long time to identify the machine and process required and the energy to be consumed in order to satisfy a new customer demand.
The above experiments show that humans can identify the machine's preferred label from relevant alternatives.
Unlike the iPhone 7, the finer details of the iPhone 8 are not yet know, but the broad strokes we currently see are enough to identify the machine out as being more pivotal than your 'average' iPhone.
True enough, there is a sense in which The Turing Test does look for a "null result": if ordinary judges in the specified circumstances fail to identify the machine (at a given level of success), then there is a given likelihood that the machine is intelligent.
This study was also before the notions of big data implementations, yet researchers were commencing to identify the machine-dimensions of HCI (Anonymous 2008).
The goal in that case is to find elements that can be used to identify the machines that send the messages before they traverse the network and consume resources of mail servers at the destination.
Tim Haney, the manager there, tracked down the codes imprinted on the letter, and those codes identified the machine.
Even for this state-of-the-art attack, human responses aligned with the machine's: 83% of subjects identified the machine's classifications at above-chance rates, and 78% of the images showed above-chance human-machine agreement (Fig. 4c).
Even for perturbed adversarial images, human responses again aligned with the machine's: 89% of subjects identified the machine's classifications at above-chance rates, and 73% of images showed above-chance human-machine agreement (Fig. 3c).
