Sentence examples for machine comprehension from inspiring English sources
This kind of machine comprehension, Maluuba's head of research Adam Trischler told me, is what the team believes will help make today's personal assistants much smarter.
The new IBM-MIT Laboratory for Brain-inspired Multimedia Machine Comprehension — we'll just call it BM3C — is a multi-year collaboration between the two organizations that will be looking specifically at the problem of computer vision and audition.
Human and machine comprehension of such large datasets can be simplified via synthesis of sequence fragments into long, contiguous blocks of sequence (contigs), but most of the progress in the field of assembly has focused on genomes in isolation rather than metagenomes.
The mysterious death of the 19th-century author features in a new online school curriculum from Amplify, the education arm of News Corp. Pupils follow clues that require close reading of Poe's stories (the assassin's identity varies, to prevent cribbing), and take machine-graded comprehension and vocabulary tests along the way.
Thus, the model proposed in this paper represents the important effects for comprehension of machine dynamic behavior and for further compensation in future.
What is the effect of the advent of thinking –– and talking –– machines on our self comprehension as human?
Struth's exquisitely detailed images of tangled wires and machines seem to defy the comprehension of one individual, like bizarre collections of accumulated knowledge.
However, the laser ablation of coatings requires better comprehension to provide sufficient machining quality with improved productivity to render such processes more viable for industrial applications.
Considering ammonia water solution, three-dimensional graphs aid a comprehension study of the absorption machine properties.
However, due to the sheer amount of information available, browsing web content by searches using keywords is inefficient, largely because unstructured HTML web pages are written for human comprehension and not for direct machine processing.
Pattanasri et al. (2012) used Support Vector Machines (Cortes and Vapnik, 1995) to predict student comprehension of slides displayed in class, based on self-reported comprehension levels.
