11 May 2016 marks the seventy-fifth anniversary of the unveiling of Konrad Zuse's Z3 computer. The Z3 was the world's first working programmable, fully automatic digital computer.
In celebration of this landmark achievement in computational science, the Zuse Institute, the Berlin–Brandenburg Academy of Sciences, and Der Tagesspiegel are organising a conference on “The Digital Future: 75 Years Zuse Z3 and the Digital Revolution”. For further information, see www.zib.de/zuse75.
Published on Monday 2 May 2016 at 11:00 UTC #event
This week Steven Niederer (King's College London) will talk about “Linking physiology and cardiology through mathematical models”
Time and Place. Thursday 28 April 2016, 11:00–12:00, Room 4027 of the Zuse Institute Berlin, Takustraße 7, 14195 Berlin
Abstract. Much effort has gone into the analysis of cardiac function using mathematical and computational models. To fully realise the potential of these studies requires the translation of these models into clinical applications to aid in diagnosis and clinical planning.
To achieve this goal requires the integration of multiple disparate clinical data sets into a common modelling framework. To this end we have developed a coupled electro-mechanics model of the human heart. This model combines patient specific anatomical geometry, active contraction, electrophysiology, tissue heterogeneities and boundary conditions fitted to comprehensive imaging and catheter clinical measurements.
This multi-scale computational model allows us to link sub cellular mechanisms to whole organ function. This provides a novel tool to determine the mechanisms that underpin treatment out comes and offers the ability to determine hidden variables that provide new metrics of cardiac function. Specifically we report on the application of these methods in patients receiving cardiac resynchronisation therapy and ablation for atrial fibrillation.
This week's colloquium at the Einstein Center for Mathematics Berlin will be on the topic of “Sparsity: Statistics, Optimization and Applications.” The speakers will be:
- Peter Richtárik (Edinburgh): Empirical Risk Minimization: Complexity, Duality, Sampling, Sparsity and Big Data
- Gitta Kutyniok (TU Berlin): Anisotropic Structures and Sparsity-based Regularization
- Mario Figueiredo (Lisbon): Learning with Strongly Correlated Variables: Ordered Weighted ℓ1 Regularization
Time and Place. Friday 22 April 2016, 14:00–17:00, Humboldt-Universität zu Berlin, Main Building Room 2.094, Unter den Linden 6, 10099 Berlin
Published on Monday 18 April 2016 at 08:00 UTC #event
A list of errata, corrections, and clarifications for Introduction to Uncertainty Quantification can now be found here. In case you spot any mistakes that are not on this list, then please get in touch and I will be happy to post the correction on the errata page.
The third SIAM Conference on Uncertainty Quantification (SIAM UQ16) will take place at the SwissTech Convention Center in Lausanne, Switzerland, this week, 5–8 April 2016.
As part of this conference, Mark Girolami and I will organise a mini-symposium on “Over-confidence in numerical predictions: challenges and solutions” (MS138 and MS153), which will feature a wide range of perspectives, including Bayesian and frequentist (in)consistency, probabilistic numerics, and application fields.
Published on Sunday 3 April 2016 at 21:00 UTC #event