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Stream computing is the use of multiple autonomic and parallel modules together with integrative processors at a higher level of abstraction to embody intelligent processing. The biological basis of this computing is sketched and the matter of learning is examined.
Stream constraint programming is a recent addition to the family of constraint programming frameworks, where variable domains are sets of infinite streams over finite alphabets. Previous works showed promising results for its applicability to real-wo
The World Wide Web continues to evolve and serve as the infrastructure for carrying massive amounts of multimodal and multisensory observations. These observations capture various situations pertinent to peoples needs and interests along with all the
The Turing Machine is the paradigmatic case of computing machines, but there are others such as Artificial Neural Networks, quantum computing, holography, and diverse forms of analogical computing, each based on a particular intuition of the phenomen
Efficient decision-making over continuously changing data is essential for many application domains such as cyber-physical systems, industry digitalization, etc. Modern stream reasoning frameworks allow one to model and solve various real-world probl
Content-Centric Networking (CCN) research addresses the mismatch between the modern usage of the Internet and its outdated architecture. Importantly, CCN routers may locally cache frequently requested content in order to speed up delivery to end user