The phrase "efficiently scale" is correct and usable in written English.
You can use it when referring to something that is capable of being enlarged or reduced in size in an effective manner. For example, "The new IT infrastructure was designed to efficiently scale with the company's growth."
It can efficiently scale to reach large numbers of students, and it gets smarter over time.
This allows the proposed method to efficiently scale to large datasets.
The data was crucial to efficiently scale up Cambridge's psychometrics products so they could be used in elections and for corporate clients.
Instead, Vondrick's research develops systems that learn from unlabeled data, which will enable computer vision systems to efficiently scale up and tackle versatile tasks.
Furthermore, the proposed test architecture can efficiently scale to a many-core with a large number of processing cores.
Independent workers allow them to quickly and efficiently scale staffing up and down to meet shifts in demand and changing business circumstances in an increasingly volatile and always-changing global economy.
In contrast, Chiang says, 24M's manufacturing technologies are designed to be modular and more efficiently scaled up if necessary.
While technologies exist for chemical conversion of methane to liquid fuels, the technical complexity of these processes mandate high capital expenditure, large-scale commercial facilities to leverage economies of scale that cannot be efficiently scaled down.
The system leverages artificial intelligence to handle an ever-growing set of student issues, challenges, and questions (e.g., When is orientation? Can I have a car on campus? Where do I find a work-study job?), efficiently scaling to reach large numbers of students, and getting smarter over time.
"As Shutterfly continues to grow, we are making additional strategic investments in our manufacturing footprint focused on providing our customers with innovative, high quality personalized products while efficiently scaling and managing our costs.
A contribution of this work is the establishment of an automatic process that allows us to efficiently scale-up and update our disease-drug network when more gene expression data are generated, deposited and annotated as GDS datasets in GEO.
