Sentence examples for enable machine from inspiring English sources

In the 1970s CNC systems, controlled by dedicated mini- or microcomputers, were developed to enable machine tools to be readily adapted to different jobs by altering the control program, or software.

Another challenge in biology is the lack of reliable information to enable machine learning algorithms.

The ongoing expansion of public [40, 46 49] and proprietary [50] target-ligand binding data begins to enable "machine learning" prediction of target inhibition profiles [51 56].

In addition, they provide several service capabilities to enable machine registration, synchronous and asynchronous communication, resource discovery, access rights management, group broadcast, etc.

Another is to enable machine operators to solve the problem themselves, thereby avoiding the delay until maintenance staff is sent from different locations.

Thus, an ideal representation would be able to refer to every chemical entity and its part unambiguously and to capture information in a controlled, reproducible, and machine-understandable way to enable machine reasoning and to facilitate data integration.

Web services standards -- developed by industry and academic computer scientists -- seek to enable machine-to-machine communication, allowing corporate and personal databases to transport information seamlessly.

A classic example is the field of artificial intelligence (AI), defined as the quest to enable machines to do things that would require intelligence if performed by a human.

But in the last few years we have seen that the combination of machine learning, powerful algorithms, vast processing power and so-called "Big Data" can enable machines to do very impressive things – real-time language translation, for example, or driving cars safely through complex urban environments – that seemed implausible even a decade ago.

Who will organise the protocols that enable machines to speak to machines?

"They will be spearheading efforts to enable machines to better understand what users are saying to them," Hassabis writes.