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Reminder: Master Thesis, TODAY - Monday, Dec 12, 2022 at 15:00
by semfis＠ifisc.uib-csic.es 12 Dec '22

12 Dec '22

Master Thesis on Monday Dec 12, 2022 at 15:00 Place: Zoom Seminar Title: Functional networks of weather events propagation between airports Speaker: Raúl López Martín, IFISC / UIB Abstract: Meteorology and climatology are fields of great relevance, not only from a purely scientific point of view, but also as they affect everyday life. Hence, gaining a deeper understanding on these areas is necessary. In this project, to do so, the novel functional networks approach is going to be followed to understand the spatial and temporal propagation of three meteorological variables: temperature, difference between temperature, and dew point and wind speed. To do so, first their associated time series are going to be extracted from airport meteorological reports for 249 airports from 2019 to 2022. Then, after time series are reconstructed, causality relations are going to be checked between time series of the same variable at different spatial locations, using Granger causality. Finally, complex networks are going to be built where nodes are the spatial locations, and an edge exists between two nodes if a causality is found between them. An analysis of the results will allow us to make hypothesis about the physical phenomena underlying the found causalities and determine strong points and limitations of the methodology. Finally, further work for this project, both from a methodological and applicational point of view, will be commented. Supervisor: Massimiliano Zanin Jury: Jose Javier Ramasco,&nbsp;Sandro Meloni,&nbsp;Massimiliano Zanin &nbsp; Url event:https://ifisc.uib-csic.es/en/events/seminars/functional-networks-of-weather-events-propagation/

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Talk on Tuesday, Dec 13, 2022 at 15:00
by semfis＠ifisc.uib-csic.es 09 Dec '22

09 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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Master Thesis on Monday, Dec 12, 2022 at 15:00
by semfis＠ifisc.uib-csic.es 09 Dec '22

09 Dec '22

Master Thesis on Monday Dec 12, 2022 at 15:00 Place: Zoom Seminar Title: Functional networks of weather events propagation between airports Speaker: Raúl López Martín, IFISC / UIB Abstract: Meteorology and climatology are fields of great relevance, not only from a purely scientific point of view, but also as they affect everyday life. Hence, gaining a deeper understanding on these areas is necessary. In this project, to do so, the novel functional networks approach is going to be followed to understand the spatial and temporal propagation of three meteorological variables: temperature, difference between temperature, and dew point and wind speed. To do so, first their associated time series are going to be extracted from airport meteorological reports for 249 airports from 2019 to 2022. Then, after time series are reconstructed, causality relations are going to be checked between time series of the same variable at different spatial locations, using Granger causality. Finally, complex networks are going to be built where nodes are the spatial locations, and an edge exists between two nodes if a causality is found between them. An analysis of the results will allow us to make hypothesis about the physical phenomena underlying the found causalities and determine strong points and limitations of the methodology. Finally, further work for this project, both from a methodological and applicational point of view, will be commented. Supervisor: Massimiliano Zanin Jury: Jose Javier Ramasco,&nbsp;Sandro Meloni,&nbsp;Massimiliano Zanin &nbsp; Url event:https://ifisc.uib-csic.es/en/events/seminars/functional-networks-of-weather-events-propagation/

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IFISC Seminar on Wednesday, Dec 14, 2022 at 14:30
by semfis＠ifisc.uib-csic.es 09 Dec '22

09 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 - Wednesday, Dec 07, 2022 at 14:30
by semfis＠ifisc.uib-csic.es 07 Dec '22

07 Dec '22

Talk on Wednesday Dec 07, 2022 at 14:30 Place: IFISC Seminar Room Title: Time evolution of signed networks sparkling with conflicts Speaker: Paride Crisafulli, IFISC Abstract: The&nbsp;Fireworks Model&nbsp;describes the behavior and the time-evolution of signed networks generated by two-sided conflicts. We assumed that links form ex-novo at each step and decay in the next one, making it unnecessary to study the actual edge-dynamics. If this assumption holds, our model reduces the study of these networks to a series of sampling problems. We tested the model on two different datasets: the USPTO patent-litigation dataset and an Interstate-War dataset. We focused on reproducing the main features of the networks, with particular regard to the largest connected component&nbsp;and the number of triangles. &nbsp; Url event:https://ifisc.uib-csic.es/en/events/seminars/time-evolution-of-signed-networks-sparkling-with-c/

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Talk on Wednesday, Dec 07, 2022 at 14:30
by semfis＠ifisc.uib-csic.es 02 Dec '22

02 Dec '22

Talk on Wednesday Dec 07, 2022 at 14:30 Place: IFISC Seminar Room Title: Time evolution of signed networks sparkling with conflicts Speaker: Paride Crisafulli, IFISC Abstract: The&nbsp;Fireworks Model&nbsp;describes the behavior and the time-evolution of signed networks generated by two-sided conflicts. We assumed that links form ex-novo at each step and decay in the next one, making it unnecessary to study the actual edge-dynamics. If this assumption holds, our model reduces the study of these networks to a series of sampling problems. We tested the model on two different datasets: the USPTO patent-litigation dataset and an Interstate-War dataset. We focused on reproducing the main features of the networks, with particular regard to the largest connected component&nbsp;and the number of triangles. &nbsp; Url event:https://ifisc.uib-csic.es/en/events/seminars/time-evolution-of-signed-networks-sparkling-with-c/

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

30 Nov '22

IFISC Seminar on Wednesday Nov 30, 2022 at 14:30 Place: IFISC Seminar Room Title: Ecological dynamics in cancer-immune interactions Speaker: Guim Aguadé Gorgorió, L’Institut des Sciences de l’Evolution de Montpellier, Université de Montpellier Abstract: Immunotherapy is one of today&rsquo;s most promising strategies of cancer treatment. Very broadly, it involves harnessing the host immune system to systematically eradicate tumor cells. However, the complexity underlying this apparently simple process is immense, and the instability and heterogeneity of cancer and immune populations represent one of the main challenges ahead. In this brief talk I will discuss how mathematical models of ecological dynamics are helping us understand tumor-immune interactions, and how lessons learned in community ecology and mathematical virology could equip us with the necessary tools to target the next major questions in cancer immunotherapy. Presential seminar, with parallel Zoom stream:&nbsp;&nbsp; https://zoom.us/j/98286706234?pwd=bm1JUFVYcTJkaVl1VU55L0FiWDRIUT09 Url event:https://ifisc.uib-csic.es/en/events/seminars/ecological-dynamics-in-cancer-immune-interactions/

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IFISC Seminar on Wednesday, Nov 30, 2022 at 14:30
by semfis＠ifisc.uib-csic.es 25 Nov '22

25 Nov '22

IFISC Seminar on Wednesday Nov 30, 2022 at 14:30 Place: IFISC Seminar Room Title: Ecological dynamics in cancer-immune interactions Speaker: Guim Aguadé Gorgorió, L’Institut des Sciences de l’Evolution de Montpellier, Université de Montpellier Abstract: Immunotherapy is one of today&rsquo;s most promising strategies of cancer treatment. Very broadly, it involves harnessing the host immune system to systematically eradicate tumor cells. However, the complexity underlying this apparently simple process is immense, and the instability and heterogeneity of cancer and immune populations represent one of the main challenges ahead. In this brief talk I will discuss how mathematical models of ecological dynamics are helping us understand tumor-immune interactions, and how lessons learned in community ecology and mathematical virology could equip us with the necessary tools to target the next major questions in cancer immunotherapy. Presential seminar, with parallel Zoom stream:&nbsp;&nbsp; https://zoom.us/j/98286706234?pwd=bm1JUFVYcTJkaVl1VU55L0FiWDRIUT09 Url event:https://ifisc.uib-csic.es/en/events/seminars/ecological-dynamics-in-cancer-immune-interactions/

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Reminder: IFISC Seminar, TODAY - Wednesday, Nov 23, 2022 at 14:30
by semfis＠ifisc.uib-csic.es 23 Nov '22

23 Nov '22

IFISC Seminar on Wednesday Nov 23, 2022 at 14:30 Place: Zoom Seminar Title: Complexity Economics of Global Change Speaker: Roger Cremades, Wageningen University, Wageningen, The Netherlands Abstract: Ranging from system dynamics models to network science, the evolution of the intersection between complex system science and the human and economic dimensions of global change achieved important milestones during the last 10 years. A summary of contributions to this interdisciplinary intersection will be provided, showing how is it evolving towards the Complexity Economics of Global Change. While keeping the overall perspective on the sustainable use of scarce natural resources like water, land and energy, and on how climate change alters their balances, the range of scales involved will be explored. First, on human behaviour and its psychological and biophysical context. Second, on cities as social tipping elements and grounds for information cascades. Third, on river basins as systems under urbanisation and global change. And finally fourth, on national and global scale economic models capturing different phenomena previously analysed with limited neoclassical economic s. Zoom link:&nbsp;&nbsp;https://zoom.us/j/98286706234?pwd=bm1JUFVYcTJkaVl1VU55L0FiWDRIUT09 Url event:https://ifisc.uib-csic.es/en/events/seminars/complexity-economics-of-global-change/

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Reminder: Talk, TODAY - Tuesday, Nov 22, 2022 at 11:00
by semfis＠ifisc.uib-csic.es 22 Nov '22

22 Nov '22

Talk on Tuesday Nov 22, 2022 at 11:00 Place: IFISC Seminar Room Title: Benchmarking the Role of Particle Statistics in Quantum Reservoir Computing Speaker: Guillem Llodrà, IFISC Abstract: MdM Quantum Meeting Quantum reservoir computing is a neuro-inspired machine learning approach harnessing the rich dynamics of quantum systems to solve temporal tasks. &nbsp;It has gathered attention for its suitability for NISQ devices, for easy and fast trainability, and for potential quantum advantage. Although several types of systems have been proposed as quantum reservoirs, &nbsp;differences arising from particle statistics have not been established yet. In this work, we assess and compare the ability of bosons, fermions, and qubits to store information from past inputs by measuring linear and nonlinear memory capacity. While, in general, the performance of the system improves with the Hilbert space size, we show that also the information spreading capability is a key factor. For the simplest reservoir Hamiltonian choice, and for each boson limited to at most one excitation, fermions provide the best reservoir due to their intrinsic nonlocal properties. On the other hand, a tailored input injection strategy allows the exploitation of the abundance of degrees of freedom of the Hilbert space for bosonic quantum reservoir computing and enhances the computational power compared to both qubits and fermions. The talk will be broadcasted at: <a href="https://uibuniversitat.zoom.us/j/93820093409" style="word-wrap: break-word;" target="_blank">https://uibuniversitat.zoom.us/j/93820093409</a> Url event:https://ifisc.uib-csic.es/en/events/seminars/benchmarking-the-role-of-particle-statistics-in-qu/

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