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image-based multiscale modelling of collagenous soft tissues
image-based multiscale modelling of collagenous soft tissues

... measurements at the scale of fibres and sub-fibrils. However, the incorporation of this type of data and measurements—which span multiple length and temporal scales—into constitutive equations is not a trivial task. To develop truly multi-scale models of collagenous tissues, it is therefore of prime ...
Study of Artificial Intelligence(AI) with Augmented Reality(AR)
Study of Artificial Intelligence(AI) with Augmented Reality(AR)

... system visualization and interaction challenges in multiple domains, including medicine, construction, advertising, manufacturing and gaming [5]. II. Integration of Artificial Intelligence with Augmented Reality The goal of this paper is to tell the viewers that though both the technologies are diff ...
Sub Title Artificial Intelligence and Agent Technology
Sub Title Artificial Intelligence and Agent Technology

... 2. To understand uncertainty and Problem solving techniques. 3. To understand various symbolic knowledge representation to specify domains and reasoning tasks of a situated software agent. 4. To understand different logical systems for inference over formal domain representations, and trace how a pa ...
ComputationalComplex.. - Computer Science & Engineering
ComputationalComplex.. - Computer Science & Engineering

... in polynomial time by nondeterministic computers NP Include all problems in P The key question is are there problems in NP that are not in P or is P = NP? We don’t know the answer to the previous question But there are a particular kind of problems, the NP-complete problems, for which all known dete ...
Single Photon Polarization
Single Photon Polarization

... 3. Each bit is encoded as 0 or 1 in the chosen basis. 4. Bob receives each bit and does not know the basis used to encode. He also tosses a coin and decides to decode using the basis as decided by coin toss. 5. Half the time Bob’s basis will be the same as Alice’s in which case the qubit received wi ...
Clustering and routing models and algorithms for the design of
Clustering and routing models and algorithms for the design of

... given a network, which is composed of a set of access nodes with demand requirements and conduits connecting the access nodes, a set of candidate edge nodes chosen from the access nodes, and a set of facilities with different capacities and installation costs. We need to determine a partitioning of ...
Collaborative reasoning - School of Computing
Collaborative reasoning - School of Computing

MS PowerPoint 97 format - KDD
MS PowerPoint 97 format - KDD

... – Why machine learning? ...
Introduction to Cloud Computing Functional Programming and MapReduce Iliano Cervesato
Introduction to Cloud Computing Functional Programming and MapReduce Iliano Cervesato

... Let’s define a double operation on a list as follows: fun double nil = 0 |double [x::L] = 2 * x :: double L ...
Sciences 2016-2017pdf 14kb
Sciences 2016-2017pdf 14kb

... Conservation and Restoration Biology ...
Conjunctive Bayesian Networks
Conjunctive Bayesian Networks

Telos Audio Design Co., Ltd. is one of the distinguished audio
Telos Audio Design Co., Ltd. is one of the distinguished audio

Large-scale data visualization for data
Large-scale data visualization for data

... Over the past few decades, the volume of data analysis has been enormously increased in many science domains, including biology, chemistry and sociology, and this data explosion, so-called data deluge, will continue to grow. Discovering useful and meaningful information in large-scale datasets is ge ...
doc - RPI
doc - RPI

... source or by way of an insecure network is not accepted until the proofs it carries are checked. Musser suggests that generic code-carrying proofs can be sent, in which the code is only implicitly present in the form of the proofs but can be easily extracted at the consumer end after the proofs are ...
Research Summary - McGill University
Research Summary - McGill University

... predictive representation. PSR groups together states which behave similarly and it holds the promise of a more compact representation than POMDPs. We point out special cases in which strict reduction in the number of states is obtained by linear PSRs [3]. Another aspect of PSR study is learning the ...
Vertebrate versus invertebrate neural circuits
Vertebrate versus invertebrate neural circuits

... show obvious differences in design principles, implying that some brain functions are not equivalent. However, many computational problems need to be solved by all brains. In these cases, insights obtained in one species will be instructive to understand brain functions in other species, even if the ...
Bild 1 - University of Calgary
Bild 1 - University of Calgary

MIT Selected Class Schedule: Spring 2012
MIT Selected Class Schedule: Spring 2012

... Class
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visiting
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at
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travel
time
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and
at
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introduce
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When
sitti ...
Computational Gene Finding - Department of Computer Science • NJIT
Computational Gene Finding - Department of Computer Science • NJIT

... •The growing quantities of training data for the models should improve their performance. •Algorithms that combine the inputs from several models in a weighted voting scheme should be considered to try to get the best from all of the methods. •Many other AI approaches can be used to meet this challe ...
Integrated Science - Boone County Schools
Integrated Science - Boone County Schools

... HS-PS2-3. Apply scientific and engineering ideas to design, evaluate, and refine a device that minimizes the force on a macroscopic object during a collision.* HS-PS3-2 Develop and use models to illustrate that energy at the macroscopic scale can be accounted for as either motions of particles or en ...
Mathematical Research and Modeling for the Army
Mathematical Research and Modeling for the Army

... materials, systems, testing, evaluation, acquisition, training, and logistics. Mathematics plays an essential role in modeling systems, in analyzing and controlling complex phenomena, and in designing and improving systems of critical interest to the Army. We discuss some of the Army interests that ...
On the concentration properties of mean field particle models
On the concentration properties of mean field particle models

... particle interpretations of nonlinear measure valued processes. We discuss large and moderate functional deviations principles w.r.t weak and strong topologies, as well as non asymptotic exponential concentration inequalities. In the first part, we underline three generic strategies to obtain a large ...
Slide 1
Slide 1

CSE 506/606 NSC Nonstandard Computation Winter Quarter 2004
CSE 506/606 NSC Nonstandard Computation Winter Quarter 2004

... photons from Alice, measures their states, and sends new photons with the measured states to Bob. She will choose the wrong basis 50% of the time. So on the photons for which Bob chooses the same basis as Alice, 25% of them will be incorrect. Bob and Alice can detect this error by sending sample “co ...
all publications as Word document
all publications as Word document

... Conference, pp.2165-2172, ISBN: 1595930108. DOI: 10.1145/1068009.1068365. Soltoggio, A (2004) Evolutionary Algorithms in the Design and Tuning of a Control System. Soltoggio, A (2004) A comparison of genetic programming and genetic algorithms in the design of a robust, saturated control system. In , ...
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Natural computing

Natural computing, also called natural computation, is a terminology introduced to encompass three classes of methods: 1) those that take inspiration from nature for the development of novel problem-solving techniques; 2) those that are based on the use of computers to synthesize natural phenomena; and 3) those that employ natural materials (e.g., molecules) to compute. The main fields of research that compose these three branches are artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, fractal geometry, artificial life, DNA computing, and quantum computing, among others.Computational paradigms studied by natural computing are abstracted from natural phenomena as diverse as self-replication, the functioning of the brain, Darwinian evolution, group behavior, the immune system, the defining properties of life forms, cell membranes, and morphogenesis. Besides traditional electronic hardware, these computational paradigms can be implemented on alternative physical media such as biomolecules (DNA, RNA), or trapped-ion quantum computing devices.Dually, one can view processes occurring in nature as information processing. Such processes include self-assembly, developmental processes, gene regulation networks, protein-protein interaction networks, biological transport (active transport, passive transport) networks, and gene assembly in unicellular organisms. Efforts tounderstand biological systems also include engineering of semi-synthetic organisms, and understanding the universe itself from the point of view of information processing. Indeed, the idea was even advanced that information is more fundamental than matter or energy. The Zuse-Fredkin thesis, dating back to the 1960s, states that the entire universe is a huge cellular automaton which continuously updates its rules.Recently it has been suggested that the whole universe is a quantum computer that computes its own behaviour.
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