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Talk on Thursday, Jan 19, 2023 at 08:00
by semfis＠ifisc.uib-csic.es 13 Jan '23

13 Jan '23

Talk on Thursday Jan 19, 2023 at 08:00 Place: Salón de Actos Hospital Son Espases, planta 1, módulo L Title: IFISC: El potencial de la IA y los sistemas complejos en el sector salud Speaker: Claudio Mirasso, IFISC Abstract: <ol> <li>Presentaci&oacute;n del IFISC</li> <li>Proyectos desarrollados por investigadores del IFISC en el &aacute;mbito m&eacute;dico. <ol style="list-style-type:lower-alpha"> <li>Proyectos sobre gesti&oacute;n sanitaria</li> <li>Proyectos de an&aacute;lisis de datos biom&eacute;dicos y modelado </li> <li>Proyectos de propagaci&oacute;n de enfermedades y movilidad humana</li> <li>Proyectos que se han desarrollado conjuntamente con HUSE</li> </ol> </li> </ol> <ol start="4"> <li>Oportunidades de colaboraci&oacute;n en el &aacute;mbito de an&aacute;lisis de datos e IA</li> </ol> Url event:https://ifisc.uib-csic.es/en/events/seminars/ifisc-el-potencial-de-la-ia-y-los-sistemas-complej/

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Reminder: Talk, TODAY - Friday, Jan 13, 2023 at 10:00
by semfis＠ifisc.uib-csic.es 13 Jan '23

13 Jan '23

Talk on Friday Jan 13, 2023 at 10:00 Place: Zoom Seminar Title: Inferring microbial interaction networks from abundance data Speaker: Somaye Sheykhali, Deutsche Bank Abstract: In large and complex ecosystems, microorganisms such as bacteria, archaea, and other eukaryotic cells coexist. Microbial communities, in fact, represent the world&#39;s largest and most diversified ecosystems. Individuals interact in a variety of ways, including predation, mutualism, comensalism, amensalism, and competitiveness. Measuring these interactions in terms of direction and strength on a broad scale is a difficult task that necessitates a combination of data analysis and modeling. Furthermore, the dynamic nature of the abundances of various microbe species cannot be overlooked in order to give a valid theory on microbial interactions. We start discussing a method based on cooccurrences for later fitting a more sophisticated dynamical&nbsp;model (generalized Lotka-Volterrra) to longitudinal data.&nbsp;The fitted model displays the intrinsic growth rates as well as the interaction network between OTUs. The resulting interaction networks are mostly sparser than the ones derived from randomizations of the data.&nbsp;The dominant interaction types are also non-reciprocal like ammensalism and commensalism.&nbsp;These kinds of interactions have largely gone unnoticed in the modeling literature, but they demand more study for a complete picture of microbial ecosystems. We also find that mutualism is avoided and competition and predation slightly favored.&nbsp; <a href="https://uibuniversitat.zoom.us/j/97051592159" target="_blank">https://uibuniversitat.zoom.us/j/97051592159</a> Url event:https://ifisc.uib-csic.es/en/events/seminars/inferring-microbial-interaction-networks-from-abun/

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Talk on Friday, Jan 13, 2023 at 10:00
by semfis＠ifisc.uib-csic.es 12 Jan '23

12 Jan '23

Talk on Friday Jan 13, 2023 at 10:00 Place: Zoom Seminar Title: Inferring microbial interaction networks from abundance data Speaker: Somaye Sheykhali, IFISC Abstract: In large and complex ecosystems, microorganisms such as bacteria, archaea, and other eukaryotic cells coexist. Microbial communities, in fact, represent the world&#39;s largest and most diversified ecosystems. Individuals interact in a variety of ways, including predation, mutualism, comensalism, amensalism, and competitiveness. Measuring these interactions in terms of direction and strength on a broad scale is a difficult task that necessitates a combination of data analysis and modeling. Furthermore, the dynamic nature of the abundances of various microbe species cannot be overlooked in order to give a valid theory on microbial interactions. We start discussing a method based on cooccurrences for later fitting a more sophisticated dynamical&nbsp;model (generalized Lotka-Volterrra) to longitudinal data.&nbsp;The fitted model displays the intrinsic growth rates as well as the interaction network between OTUs. The resulting interaction networks are mostly sparser than the ones derived from randomizations of the data.&nbsp;The dominant interaction types are also non-reciprocal like ammensalism and commensalism.&nbsp;These kinds of interactions have largely gone unnoticed in the modeling literature, but they demand more study for a complete picture of microbial ecosystems. We also find that mutualism is avoided and competition and predation slightly favored.&nbsp; <a href="https://uibuniversitat.zoom.us/j/97051592159" target="_blank">https://uibuniversitat.zoom.us/j/97051592159</a> Url event:https://ifisc.uib-csic.es/en/events/seminars/inferring-microbial-interaction-networks-from-abun/

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Reminder: IFISC Seminar, TODAY - Wednesday, Jan 11, 2023 at 14:30
by semfis＠ifisc.uib-csic.es 11 Jan '23

11 Jan '23

IFISC Seminar on Wednesday Jan 11, 2023 at 14:30 Place: IFISC Seminar Room Title: Oceanic big data for marine megafauna conservation Speaker: Jorge P. Rodriguez, Instituto Mediterráneo de Estudios Avanzados (IMEDEA) Abstract: Large datasets have the potential to provide insights to solve problems such as the environmental challenges arising from the impact of human behaviour. In this context, marine researchers are developing a data culture to address the conservation of the oceans, including, for example, animal geolocalization, environmental satellite observations or human activities tracking. In this talk, I will introduce a global analysis of marine animal movement and the overlaps between marine megafauna trajectories and anthropogenic hazards, providing examples of the suggestions for conservation that our approaches may reveal. References Sequeira, Rodr&iacute;guez, Egu&iacute;luz, et al. Convergence of marine megafauna movement patterns in coastal and open oceans. Proc. Nat. Acad. Sci. 115, 3072 (2018). Sequeira, Hays, Sims, et al. Overhauling ocean spatial planning to improve marine megafauna conservation. Front. Mar. Sci. 6, 639 (2019). Presential in the seminar room with parallel Zoom stream at https://zoom.us/j/98286706234?pwd=bm1JUFVYcTJkaVl1VU55L0FiWDRIUT09 Url event:https://ifisc.uib-csic.es/en/events/seminars/oceanic-big-data-for-marine-megafauna-conservation/

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Reminder: Talk, TODAY - Tuesday, Jan 10, 2023 at 12:10
by semfis＠ifisc.uib-csic.es 10 Jan '23

10 Jan '23

Talk on Tuesday Jan 10, 2023 at 12:10 Place: IFISC Seminar Room Title: Quantum reservoir computing in finite dimensions Speaker: Rodrigo Martínez, IFISC (UIB-CSIC) Abstract: MdM Quantum Meeting Most existing results in the analysis of quantum reservoir computing (QRC) systems with classical inputs have been obtained using the density matrix formalism. This paper shows that alternative representations can provide better insights when dealing with design and assessment questions. More explicitly, system isomorphisms have been established that unify the density matrix approach to QRC with the representation in the space of observables using Bloch vectors associated with Gell-Mann bases. It has been shown that these vector representations yield state-affine systems (SAS) previously introduced in the classical reservoir computing literature and for which numerous theoretical results have been established. This connection has been used to show that various statements in relation to the fading memory (FMP) and the echo state (ESP) properties are independent of the representation, and also to shed some light on fundamental questions in QRC theory in finite dimensions. In particular, a necessary and sufficient condition for the ESP and FMP to hold has been formulated, and contractive quantum channels that have exclusively trivial semi-infinite solutions have been characterized in terms of the existence of input-independent fixed points. <a href="https://uibuniversitat.zoom.us/j/99411240356" style="word-wrap: break-word;" target="_blank">https://uibuniversitat.zoom.us/j/99411240356</a> Url event:https://ifisc.uib-csic.es/en/events/seminars/quantum-reservoir-computing-in-finite-dimensions/

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Talk on Tuesday, Jan 10, 2023 at 12:10
by semfis＠ifisc.uib-csic.es 06 Jan '23

06 Jan '23

Talk on Tuesday Jan 10, 2023 at 12:10 Place: IFISC Seminar Room Title: Quantum reservoir computing in finite dimensions Speaker: Rodrigo Martínez, IFISC (UIB-CSIC) Abstract: MdM Quantum Meeting Most existing results in the analysis of quantum reservoir computing (QRC) systems with classical inputs have been obtained using the density matrix formalism. This paper shows that alternative representations can provide better insights when dealing with design and assessment questions. More explicitly, system isomorphisms have been established that unify the density matrix approach to QRC with the representation in the space of observables using Bloch vectors associated with Gell-Mann bases. It has been shown that these vector representations yield state-affine systems (SAS) previously introduced in the classical reservoir computing literature and for which numerous theoretical results have been established. This connection has been used to show that various statements in relation to the fading memory (FMP) and the echo state (ESP) properties are independent of the representation, and also to shed some light on fundamental questions in QRC theory in finite dimensions. In particular, a necessary and sufficient condition for the ESP and FMP to hold has been formulated, and contractive quantum channels that have exclusively trivial semi-infinite solutions have been characterized in terms of the existence of input-independent fixed points. <a href="https://uibuniversitat.zoom.us/j/99411240356" style="word-wrap: break-word;" target="_blank">https://uibuniversitat.zoom.us/j/99411240356</a> Url event:https://ifisc.uib-csic.es/en/events/seminars/quantum-reservoir-computing-in-finite-dimensions/

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IFISC Seminar on Wednesday, Jan 11, 2023 at 14:30
by semfis＠ifisc.uib-csic.es 06 Jan '23

06 Jan '23

IFISC Seminar on Wednesday Jan 11, 2023 at 14:30 Place: IFISC Seminar Room Title: Oceanic big data for marine megafauna conservation Speaker: Jorge P. Rodriguez, Instituto Mediterráneo de Estudios Avanzados (IMEDEA) Abstract: Large datasets have the potential to provide insights to solve problems such as the environmental challenges arising from the impact of human behaviour. In this context, marine researchers are developing a data culture to address the conservation of the oceans, including, for example, animal geolocalization, environmental satellite observations or human activities tracking. In this talk, I will introduce a global analysis of marine animal movement and the overlaps between marine megafauna trajectories and anthropogenic hazards, providing examples of the suggestions for conservation that our approaches may reveal. References Sequeira, Rodr&iacute;guez, Egu&iacute;luz, et al. Convergence of marine megafauna movement patterns in coastal and open oceans. Proc. Nat. Acad. Sci. 115, 3072 (2018). Sequeira, Hays, Sims, et al. Overhauling ocean spatial planning to improve marine megafauna conservation. Front. Mar. Sci. 6, 639 (2019). Presential in the seminar room with parallel Zoom stream at&nbsp;https://zoom.us/j/98286706234?pwd=bm1JUFVYcTJkaVl1VU55L0FiWDRIUT09 Url event:https://ifisc.uib-csic.es/en/events/seminars/oceanic-big-data-for-marine-megafauna-conservation/

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Reminder: Talk, TODAY - Thursday, Dec 15, 2022 at 14:30
by semfis＠ifisc.uib-csic.es 15 Dec '22

15 Dec '22

Talk on Thursday Dec 15, 2022 at 14:30 Place: IFISC Seminar Room Title: A method for detecting and quantifying information transmission biases in complex networks Speaker: Fernando Diaz, IFISC (CSIC-UIB) Abstract: Abstract: Social networks play a major role in the transmission of information between individuals. However, one key issue of this way of transmitting information is that it can be biased: the network structure may cause some individuals to have a disproportionate visibility, hinder the communication between members in different opinion groups and so on, leading to dangerous consequences for the democratic discourse and our society in general. Despite the ubiquity of these biases however, a unified theory able to detect which ones are present in a given network and help mitigate their effects is still missing. In this work, we propose a simple method able to isolate and quantify the information transmission biases present in any network. This method is based on an orthogonal decomposition of a graph into an average component plus a set of bias variables. We explore some mathematical properties of these variables, and propose a diagrammatic representation that captures the key properties of eac h bias in an intuitive way. Our method sheds light into the structural inequalities arising in widely different systems, such as political communities on Twitter, linguistic communities in multicultural cities or scientific citations networks. Url event:https://ifisc.uib-csic.es/en/events/seminars/a-method-for-detecting-and-quantifying-information/

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Reminder: IFISC Seminar, TODAY - Wednesday, Dec 14, 2022 at 14:30
by semfis＠ifisc.uib-csic.es 14 Dec '22

14 Dec '22

IFISC Seminar on Wednesday Dec 14, 2022 at 14:30 Place: Zoom Seminar Title: Learning force fields from stochastic trajectories Speaker: Anna Frishman , Technion Israel, Department of Physics Abstract: Particles in biological and soft matter systems undergo Brownian dynamics: their deterministic motion, induced by forces, competes with random diffusion due to thermal noise. More broadly, Brownian dynamics is a generic and simple model for dynamical systems with fast degrees of freedom modeled as noise. &nbsp; Provided only with the time-series of positions of such a system, i.e. a trajectory in phase space, it is challenging to infer what force field had produced it. At the same time, knowledge of the force field is key to characterize the dynamical system. I will discuss the information about the force field contained in the trajectory and present a bound on the rate at which it can be extracted. I will then present a practical method, Stochastic Force Inference, that optimally uses this information to approximate force fields. This technique also permits the evaluation of out-of-equilibrium currents and entropy production, as well as diffusion coefficients. Zoom link: https://zoom.us/j/98286706234?pwd=bm1JUFVYcTJkaVl1VU55L0FiWDRIUT09</span… &nbsp; &nbsp; Url event:https://ifisc.uib-csic.es/en/events/seminars/learning-force-fields-from-stochastic-trajectories/

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Reminder: Talk, TODAY - Tuesday, Dec 13, 2022 at 15:00
by semfis＠ifisc.uib-csic.es 13 Dec '22

13 Dec '22

Talk on Tuesday Dec 13, 2022 at 15:00 Place: Zoom Seminar Title: Integrated optical output layer for a reservoir computer based on frequency multiplexing Speaker: Tigers Jonuzi, VLC Photonics Abstract: Reservoir Computing (RCs) is a brain-inspired computational paradigm based on recurrent neural networks where only output weights are tuned, while internal weights remain untrained. Recently, a photonic RC system that encodes neurons in the lines of a frequency comb was demonstrated. A similar frequency-multiplexing approach was used to implement a single-layer feed-forward neural network. Here, we present the design for an integrated optical output layer for such frequency based photonic neural networks. The all-optical output layer uses wavelength (de)multiplexers and wavelength converters to apply signed weights to neurons encoded in comb lines. The design concept has been split in two integrated circuits comprehending a Silicon Photonic technology for the weighting scheme and an Indium Phosphide platform for the non-linear optical operation. During this talk, simulations and design parameters will be presented and discussed in detail. Zoom link:&nbsp;<a href="https://uibuniversitat.zoom.us/j/87008849910">https://uibuniversitat.zoom.us/j/87008849910</a> Meeting ID: 870 0884 9910 Url event:https://ifisc.uib-csic.es/en/events/seminars/integrated-optical-output-layer-for-a-reservoir-co/

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