Although the term mechanization is often used to refer to the simple replacement of human labour by machines, automation generally implies the integration of machines into a self-governing system.
Presented is an integration of machines, materials, and modeling resulting as a full-scale house and a redefinition of construction components, assembly and building shape.
Allmusic describes Destroy Erase Improve's lyrical focus as "the integration of machines with organisms as humanity's next logical evolutionary step".
But beyond the deep integration of machine learning, Bluecore has also expanded its marketing channels to include social media and search.
It is geared to allow the integration of machine learning methodologies developed for activity recognition in "opportunistic" sensor configurations (see [3] for a summary of recently developed machine learning techniques in this direction).
An innovative integration of machine learning in image processing is very likely to have a great benefit to the field, which will contribute to a better understanding of complex images.
Unlike HuMa [7], which is oriented towards threat analysis and forensic investigation, OMMA is focused on real-time detection, taking the approach of classic signature-based SIEM but giving elements for the integration of machine learning algorithms.
However, OMMA differs from HuMa and KILS in some aspects: Unlike HuMa [7], which is oriented towards threat analysis and forensic investigation, OMMA is focused on real-time detection, taking the approach of classic signature-based SIEM but giving elements for the integration of machine learning algorithms.
These include: a trend towards combining approaches that were hitherto regarded as distinct and were studied by separate research communities; a trend towards a more prominent role of representation; and a tighter integration of machine learning techniques with techniques from areas of application such as bioinformatics.
The key to success for these operators, as seen by the impact on business results, has been the integration of machine learning capabilities into standard operations.
Moreover, when we analyzed existing approaches to the integration of machine-processable knowledge resources into clinical applications to enable CDS [ 31], we identified several general principles that are of relevance to establishing a national CDS infrastructure.
