Sentence examples for technologies targeted at from inspiring English sources
Areas of particular focus will include user interfaces, cognitive radio (a way to enable wireless devices to more efficiently share airwaves), technologies targeted at emerging markets, and what the company calls "context modeling" (applications that rely on information from sensors and GPS).
The cost of deploying technology has fallen significantly and shows every sign of falling even more through commoditization and increasingly favorable price/performance ratios (and the availability of cloud-based services) – though it's still possible to waste tons of money on the wrong technologies targeted at the wrong problems.
Back in the United States, the Church Committee looked at the ways that the government had abused national security authority with surveillance technologies targeted at civil rights leaders, war protesters, and political critics.
Included were sites where new technologies, targeted at roadway workers and train crews, were being piloted.
Confirmation of the mechanism of resistance in these isolates is required given the trend towards adoption of PCR based diagnostic technologies targeted at identifying only the mecA gene.
At the moment, a particular focus is paid to small wind turbine technology, targeted at both individual and private users.
Ansaldo Fuel Cells S.p.A. is developing molten carbonate fuel cell (MCFC) technology targeted at industrial applications from 50 kW to 10 MW.
Within the sector, many firms have been looking specifically at technology targeted at healthcare.
In this emerging research paper, we posit the idea of an adaptive, crowdsourced, and primarily educational technology, targeted at software development students.
This paper discusses an emerging area of research that posits the idea of developing an adaptive, crowdsourced, and primarily educational technology, targeted at software development students.
The resulting platform is said to leverage deep learning (AI) techniques to power the startup's proprietary models and scoring algorithms, and ultimately provide far better speech technology targeted at children.
