Sentence examples for inferring who from inspiring English sources

And the goal of targeted advertising is to manipulate people's decisions based on intelligence about them gleaned via clandestine surveillance of their online activity (so inferring who they are via their data).

At WWDC last year it showed off an update to Siri called Proactive that added some Google Now-esque predictive features — such as inferring who might be calling from a landline number that's not stored in your contacts — except the data processing is done locally, on the device (not in the cloud).

I wondered aloud about the power structures; was it possible to infer who was in charge?

Abilities to extract personality from our digital behaviour and infer who we are, predicting how we'll behave, is much closer than we think.

Also, many infectious disease cases are never diagnosed, so methods are needed to infer who was infected and who was protected by particular interventions.

CCDD researchers have been at the forefront of efforts to use pathogen sequence data to infer who infected whom, and separately to enhance vaccine trial designs (see above).

He went on to infer who the band in question were by tossing the waiting press this tit-bit to chew over: "Is it a British artist?

While accessing our past digital records can provide a valid measure of our online reputation, it is not the only way in which technology can be deployed to infer who we are.

The viral genetics linked different isolates and indicated which ones were older, allowing the researchers to infer who infected whom.

For example, although all the gathered data for shop behavior are anonymous (e.g., buying a pistol), because the data can be easily collected by different devices and systems (e.g., location of the shop and age of the buyer), a data mining algorithm can easily infer who bought this pistol.

Knowledge of the specific sub-type circulating and real-time information on age-specific rates of severe outcomes are crucial to help policy makers infer who may be at most risk, and tailor intervention strategies accordingly.