Society for Modeling and Simulation International

Modelica - Math Modeling & Programming Language - ICIAM2011

In July 2011, mathematical scientists from around the world gathered in Vancouver, BC, Canada for the 7th International Congress on Industrial and Applied Mathematics - ICIAM 2011. The meeting highlighted the most recent advances in the discipline and demonstrated their applicability to sc

From playlist SIAM Conference Videos

SketchySVD - Joel Tropp, California Institute of Technology

This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai

From playlist Mathematics of data: Structured representations for sensing, approximation and learning

Workshop on Mathematics for the Health Sciences - Day I

The workshop will present recent advances in the mathematical modeling and analysis of challenging problems arising from the biomedical sciences, covering in particular state-of-the-art numerical algorithms for their simulation. A hoped-for outcome of this meeting is to bring together math

From playlist Mathematical Biology

The Climate Modeling Alliance

At the Climate Modeling Alliance, or CliMA for short, a consortium of scientists and engineers from Caltech, JPL, MIT, and the Naval Postgraduate School are building a new climate model from the ground up. They’re fusing Earth observations and high-resolution simulations into a model that

From playlist Sustainability

IMS Public Lecture : A History of Moving Contact Lines

Stephen H. Davis, Northwestern University, USA

From playlist 2018 Modeling and Simulation of Interface Dynamics in Fluids/Solids and Their Applications

Nature Reviews Physics: Machine learning in fluid dynamics and climate physics

Researchers in field of fluid dynamics have been experimenting with machine learning since the 1990s, having driven many advances in the use of these methods in modelling and simulation. The combination of real and simulated data, together with physics-informed machine learning, is now use

From playlist Nature Reviews Physics - AI for science and government (ASG) series

Structure-preserving numerical approximations to thermodynamically consistent dissipative models

Qi Wang University of South Carolina, USA Beijing Computational Science Research Center, China

From playlist 2018 Modeling and Simulation of Interface Dynamics in Fluids/Solids and Their Applications

Eric Vanden-Eijnden (DDMCS@Turing): Neural networks as interacting particle systems

Complex models in all areas of science and engineering, and in the social sciences, must be reduced to a relatively small number of variables for practical computation and accurate prediction. In general, it is difficult to identify and parameterize the crucial features that must be incorp

From playlist Data driven modelling of complex systems

Lecture 9. Agent based modeling.

Data Science for Business. Lecture 9 slides: https://drive.google.com/file/d/1sw7OjZlAw61SC_cL7Tx9O2ct4kXlQcYn/view?usp=sharing

From playlist Data Science for Business, 2022

Physics & Astrophysics of Gamma-Ray Bursts Lecture 3 by Frédéric Daigne

PROGRAM: GRAVITATIONAL WAVE ASTROPHYSICS (ONLINE) ORGANIZERS : Parameswaran Ajith, K. G. Arun, Sukanta Bose, Bala R. Iyer, Resmi Lekshmi and B Sathyaprakash DATE: 18 May 2020 to 22 May 2020 VENUE: Online Due to the ongoing COVID-19 pandemic, the original program has been cancelled. Howe

From playlist Gravitational Wave Astrophysics (Online) 2020

The response of Natural Vegetationto rising CO2 - Winkler - Workshop 3 - CEB T4 2019

Winkler (Max-Planck-Institute for Meteorology) / 02.12.2019 The response of Natural Vegetation to rising CO2 ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook : https://www.facebook.com/InstitutHenriPoincare/ Tw

From playlist 2019 - T3 - The Mathematics of Climate and the Environment

Seeing the future: how our brains decide our actions | The Royal Society

How do we decide what is the best course of action? How do we use prior experience to guide these actions? How do we decide when outcomes are delayed and uncertain? How do we deploy a model of our environment to assist us in choosing? This is the Ferrier prize lecture given by Professor R

From playlist Latest talks and lectures

Sparks! Serendipity Forum: Future Intelligence

The Sparks! public event will consist of a series of short talks and debates about the current and future trends that will define the field of AI and how it will impact our society as we know it. The talks will be given by AI experts taking part in our Sparks! Forum. The event will be web

From playlist Sparks! Serendipity Forum at CERN| First Edition: Future Intelligence | 2021

Milner Award Lecture 2015: Reactive, real-time and hybrid computer systems

Listen to a world expert on computer science speak about advances in reactive, real-time, and hybrid computer systems. Milner Award Lecture 2015 delivered by Professor Thomas Henzinger, Institute of Science and Technology, at the Royal Society, London, on 18 November 2015. https://royal

From playlist Latest talks and lectures

Max-Planck Forum: "10 Jahre Kyoto-Protokoll"

Der Ozeanograf Jochem Marotzke vom Hamburger Max-Planck-Institut für Meteorologie gilt als einer der international führenden Klimaforscher und arbeitet unter anderem auch mit an den wissenschaftlichen Berichten des Weltklimarats. Beim Max-Planck-Forum in Berlin stellte er zusammen mit Jan

From playlist Most popular videos

28C3: Resilience Towards Leaking or Why Julian Assange Might Be Wrong After All (en)

For more information visit: http://bit.ly/28C3_information To download the video visit: http://bit.ly/28C3_videos Playlist 28C3: http://bit.ly/28C3_playlist Speaker: Kay Hamacher In his now (in)famous pamphlet "Conspiracy as Governance" Julian Assange (JA) argues about the need for

From playlist 28C3: Behind Enemy Lines

Introduction: Data Sciences for Climate and Environment

This is a short introduction to the Data Sciences for Climate and Environment by Professors Richard Smith and Mark Girolami. You can view the full event here: https://www.youtube.com/playlist?list=PLuD_SqLtxSdUVT_2SSPzZSC__kAxpkm8w About the event Collectively, we are modelling and moni

From playlist Data Sciences for Climate and Environment

You and AI – the practical applications of AI

Professor Marcus Du Sautoy, mathematician, author, and science communicator, speaks to leading artificial intelligence experts for a discussion and open forum on AI's applications. The talk is the second event in the Royal Society’s 2018 series: You and AI. Supported by DeepMind. For mo

From playlist You and AI

Simulation: The Challenge for Data Science

While machine learning has recently had dramatic successes, there is a large class of problems that it will never be able to address on its own. To test a policy proposal, for example, often requires understanding a counterfactual scenario that has never existed in the past, and that may

From playlist Turing Seminars