Turing Gateway to Mathematics

In March 2013, the Isaac Newton Institute for Mathematical Sciences (INI) launched the Turing Gateway to Mathematics (TGM). The TGM is an impact initiative of the INI and aims to stimulate the interchange of knowledge and ideas between academics of different disciplines and users of modern mathematics. Named after Alan Turing because of his exceptionally wide influence across a very broad front, the Gateway is a channel for collaboration and cooperation between academia and industry. It will help to shorten pathways to impact and increase access to modern mathematical methods for other industrial and academic areas.

Recent Episodes
  • Low Thrust Trajectory Optimisation for Orbit Raising Applications
    Mar 21, 2014 – 40:09
  • Questions & Open Discussion - Coping with Big Data
    Feb 2, 2015 – 38:22
  • (Solving) the Learning with Errors Problem
    May 12, 2014 – 19:33
  • 3D Vision in a Changing World
    Jun 24, 2015 – 27:14
  • A Personal View on Global Optimisation
    Mar 27, 2014 – 41:17
  • A tale of two tails
    Mar 28, 2013 – 39:41
  • A very short introduction to Uncertainty Quantification (UQ)
    Mar 26, 2013 – 28:55
  • Abdominal Aortic Aneurysm Development and Patient-Specific Modelling based on In Vivo Imaging and Atherosclerosis Imaging & Risk Prediction and Drug Testing - Examples from Cardiovascular Medicine
    Oct 24, 2016 – 37:15
  • Academic state-of-the-art of Data Linkage
    Sep 21, 2016 – 29:47
  • Accounting for Parameter Uncertainty in Two-Stage Designs for Phase II Dose-Response Studies
    Jul 16, 2015 – 36:01
  • Adaptive Dose Finding Designs in the Presence Of Model Uncertainty
    Jul 16, 2015 – 28:57
  • Adaptive Langevin Algorithms for Canonical Sampling with Noisy Forces in Scale-bridging Molecular Dynamics
    Dec 9, 2015 – 32:17
  • Advancing the Frontiers of Metagenomic Science
    Apr 15, 2014 – 36:51
  • Algorithm issues relating to LC applications such as holography and displays
    Apr 12, 2013 – 18:21
  • An Asymptotic Matching Problem in Braginskii Magnetohydrodynamics
    Mar 8, 2017 – 14:40
  • An Empirical Bayesian Method for Video Denoising
    Jun 24, 2015 – 33:09
  • Anonymisation and the Five Safes
    Dec 13, 2016 – 23:12
  • Anonymisation Risk and Privacy
    Dec 13, 2016 – 45:42
  • Approaches to Sampling and Inference for Bayesian Nonparametrics
    May 31, 2017 – 04:30
  • Aspects of Algorithmic and High-Frequency Trading
    Apr 4, 2013 – 44:27
  • Assessing Performance and Evaluating Policy
    May 12, 2015 – 01:27:00
  • Automated Zone Design as an Aid to Effective Anonymisation
    Dec 13, 2016 – 26:36
  • Automatic Planning and Scheduling of Multi-Gravity Assist Transfers with Deep Space Manoeuvres
    Mar 21, 2014 – 47:49
  • Banking and Risk
    Mar 14, 2014 – 31:48
  • Bayesian Adaptive Randomisation Revisited
    Jul 16, 2015 – 31:02
  • Bayesian data assimilation for uncertainty quantification
    Apr 2, 2013 – 24:31
  • Bayesian Inference for Non-linear Inverse Problems
    Jun 26, 2019 – 49:55
  • Bayesian Selection of Regularisation Parameters: Theory, Methods and Algorithms
    Jun 24, 2015 – 22:59
  • Bayesian Uncertainty Quantification in Alloy Modelling and Design
    Dec 11, 2015 – 29:41
  • Beyond Features: Dense and Direct Methods for 3D Reconstruction and Visual SLAM
    Jun 26, 2015 – 27:44
  • Big Data Analysis
    Feb 4, 2014 – 14:34
  • Big Data Challenges for Business
    Jan 19, 2015 – 28:48
  • Bilevel Optimisation in Automated Regularisation Parameter Selection in Image Processing
    Jun 26, 2015 – 26:44
  • Biomarkers from Dynamic Images - Approaches and Challenges
    Mar 14, 2016 – 35:00
  • Brick Tunnel Randomization, Overcoming Inconvenient Allocation Ratio
    Jul 16, 2015 – 31:11
  • Building on Sir Sam's Formalism: Molecularly-Informed Field-Theoretic Simulations of Soft Matter
    Sep 14, 2016 – 01:02:00
  • Building Probalistic Models One Constrain at a Time
    Dec 9, 2015 – 01:04:00
  • Calibration of the Heart Model: Dealing with Uncertainty
    Apr 24, 2017 – 09:48
  • Canonical Quantum Observables Approximated by Molecular Dynamics for Matrix Valued Potentials.
    Dec 9, 2015 – 01:01:00
  • Capabilities $ Limitations of Quantum Computers
    Sep 19, 2014 – 27:59
  • Cardiac MRI and Myocardial Infarction: the role of Mathematical Modelling
    Apr 24, 2017 – 09:24
  • CCTV Surveillance and Sports Video Analysis
    Jun 24, 2015 – 31:08
  • Challenges and Opportunities for Statistics in Digital Forensics
    Dec 2, 2016 – 30:34
  • Challenges at Illumina
    Apr 15, 2014 – 25:31
  • Challenges in Animal Infectious Diseases Modelling
    Jun 6, 2014 – 35:31
  • Challenges in Microscopy Big Data
    Mar 14, 2016 – 28:16
  • Challenges in Public Health and Modelling
    Jun 6, 2014 – 47:24
  • Challenges of Data Linkage and Anonymisation in Government : an Energy Statistician's Perspective
    Oct 24, 2014 – 32:33
  • Choice under Uncertainty
    May 14, 2015 – 01:26:00
  • Clinical Imaging of Bone
    Mar 10, 2016 – 31:20
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