Sentence examples for computing learning from inspiring English sources

Also other intelligent technologies, such as cloud computing, learning analytics, big data, Internet of things (IoT), wearable technology and etc., promote the emergence of smart education.

"The course & curriculum really does capture the "Beauty and Joy" of computing; learning can be a lot of fun," he writes.

Cloud computing, learning analytics and big data, which focus on how learning data can be captured, analyzed and directed towards improving learning and teaching, support the development of the personalized and adaptive learning (Lias and Elias 2011; Mayer-Schönberger and Cukier 2013; Picciano 2012).

The use of intelligent technologies, such as cloud computing, learning analytics or big data, focuses on how learning data can be captured, analysed and directed towards improving learning and teaching, and supporting the development of personalised and adaptive learning (Mayer et al. 2013; Picciano 2012).

In particular, we introduce arguments that black holes may be a developmental destiny and standard attractor for all higher intelligence, as they appear to some to be ideal computing, learning, forward time travel, energy harvesting, civilization merger, natural selection, and universe replication devices.

Recently, various AI methods based on powerful computing learning abilities have become predominant techniques for credit scoring and classification.

Whereas the Online SOM is progressively less capable to model changes due to decreasing learning parameters, the PLSOM suffers from the fact it also uses an estimation of the input space diameter, which also is changing, to compute learning parameters.

In Spiking Neural Network (SNN), both memory and computational elements are integrated into the body of each neuron which provides the possibility of cognitive computing with learning ability in a platform without memory bottleneck.

The paper describes in some detail the architecture of an advanced grid portal based on parallel computing system, learning and teaching interactions and the processes of courses management over it.

Simultaneously, a somewhat related new generation of VLSI-chips is emerging ("pulsed VLSI") where new ideas about computing and learning with temporal coding can be tested in an engineering context.

After training phase, the algorithm has selected the optimal hyperplane H separating the classes that can be described in the following equation: H : w v i + b = 0, where w are the computed learning weights, b is an offset and v i is the classes features.