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Computing, Internet and Artificial Intelligence - As processing power improves, the functionality and value of computers tends to increase significantly. The best computers of just a decade ago could not even handle tasks that the average desktop computer now handles with ease. The networking of these computers has expanded the possibilities even further. Computing and the internet has already changed many of our lives. We plan trips, research products, and explore our history in entirely new and more efficient ways. It seems clear, however, that the impact of the internet has just begun its influence on our lives. As processing power continues to improve, and as the collaboration afforded by the internet evolves, the impact is likely to skyrocket. With this increasing computing power of a unimaginably extensive network, comes the possibility of improving artificial intelligence. If all of this work culminates in a technological singularity, then perhaps all of the other projects listed in this article will seem insignificant. Aside from a singularity, however, improvements in computing is certain to speed technological advancement in all fields.
Additional goals in theoretical computer science are to unify seemingly separate fields of computing, determine whether or not certain problems are in principle unsolvable, what techniques may be used to factor huge numbers or discover the largest prime numbers, an so on.
Additional goals in theoretical computer science are to unify seemingly separate fields of computing, determine whether or not certain problems are in principle unsolvable, what techniques may be used to factor huge numbers or discover the largest prime numbers, an so on.
Computer comunication technologies have strongly evolved along the past decades and have deeply affected many domains, embedded systems included. They fostered the proliferation of distributed embedded systems, exploiting potential advantages such as increased modularity, maintainability, dependability and composability, and are now paving the way for networks of embedded systems targeting cooperative devices for unbounded connectivity. Network protocols became, thus, fundamental components in this distributed scenario to support the necessary interoperability among the computing elements. On the other hand, developing applications for such distributed platforms became more complex, requiring an effective middleware layer to provide adequate abstractions and cooperation models.
ReplyDeleteIn this talk we will do a brief tour of networking and middleware technologies for embedded systems. Starting from the basics of digital communication, we will visit relevant issues in the physical and data link layers of the communication protocol stack, observe several examples of existing network protocols that are typically used in embedded systems of different kinds and discuss common middleware layers and their properties. Finally, the talk will also point to open issues and on-going efforts in this domain.