A Platform for Utilizing Information across the Web and the Real World

Author(s):  
Yuhei Akahoshi ◽  
Hiroaki Ohshima ◽  
Yutaka Kidawara ◽  
Katsumi Tanaka
Keyword(s):  
The Real ◽  
1995 ◽  
Vol 28 (1-2) ◽  
pp. 209-219 ◽  
Author(s):  
Ken Goldberg ◽  
Michael Mascha ◽  
Steven Gentner ◽  
Jürgen Rossman ◽  
Nick Rothenberg ◽  
...  
Keyword(s):  
The Real ◽  

Author(s):  
Andrew Brooks

Education is moving out of the classroom and into the real world, driven by both emerging Information and Communication Technologies (ICT) and new economic models. The boom of the web and social networking has revolutionised global communication and collaboration. A DIY culture and industries are emerging because of this. Mobile devices connecting to the digital superhighways are merging the real and digital worlds. This, coupled with the falling cost of the hardware as well as the free software movement may soon place a new model of education into the grasp of almost everyone. A model where education is no longer the process of being fed information, but rather a process of enquiry, exploration, discovery, expression and re-interpretation of the world around us on our own terms. The potential for learning from and with each other at this moment in time is unprecedented.


Author(s):  
Maria del Mar Roldán-García ◽  
Ismael Navas-Delgado ◽  
José F. Aldana-Montes

Information on the Web has grown very quickly. The semantics of this information are becoming explicit and the Semantic Web (Berners-Lee, Hendler, & Lassila, 2001) is emerging. Ontologies provide a formal representation of the real world by defining concepts and relationships between them. In order to provide semantics to Web resources, instances of such concepts and relationships are used to annotate them. These annotations on the resources, which are based on ontologies, are the foundation of the Semantic Web. Because of the Web’s size we have to deal with large amounts of knowledge. All this information must be represented and managed efficiently to guarantee the feasibility of the Semantic Web. Querying and reasoning over instances of ontologies will make the Semantic Web useful.


Author(s):  
Piyush Bansal and Saurabh Gautam

Image classification is the task of identifying an image. Android image classification model is trained to recognize various classes of images. For example, we may train a model to recognize photos representing three different types of animals: rabbits, hamsters, and dogs. Optimized pre-trained models are provided byTensor Flow Lite that we can deploy in our mobile applications. Simple Machine Learning (ML) algorithms in Python make relatively easy to start explore datasets and make some first predictions. We can make these trained models useful in the real world by making them available to make predictions on either the Web or Portable devices.


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