Cantab Capital Institute for the Mathematics of Information – Connecting with Industry

Cambridge University

34 Episodes

The Cantab Capital Institute for the Mathematics of Information (CCIMI) will hold an Industry engagement day in November 2017. This event aims to showcase the research that is being carried out at the Institute and will present an opportunity to hear in detail about some of the current project collaborations, other industry challenges and explore new potential collaborations. This event follows the previous industry and academic engagement events delivered in November 2016 and May 2017.

The Cantab Capital Institute for the Mathematics of Information accommodates research activity on fundamental mathematical problems and methodology for understanding, analysing, processing and simulating data. Data science research performed in the Institute is at the highest international level, aiming to extract the relevant information from large and high-dimensional data with a predictable certainty. For more detailed information on projects, please see the CCIMI website.

Aims and Objectives

The main focus of this one day conference event was as an industrial engagement day that provided an update on research and collaborations taking place at CCIMI, as well as highlighting projects being developed elsewhere. The talks highlighted research taking place at CCIMI, with associated industrial engagements and looked to explore the big questions in data science where mathematics is most suited to help provide answers.

There was the opportunity to present at a poster exhibition, which ran during the lunch and the networking sessions and the event closed with a facilitated panel session, followed by a drinks reception.

This event was of interest to participants including economists; social scientists; physicists; engineers; biomedical scientists as well as those working in statistics; pure, applied and computational analysis; quantum computing, cryptography, communication and security and those from data processing.

Podcasts Similar to Cantab Capital Institute for the Mathematics of Information – Connecting with Industry

The Mathematics of Machine Learning - A Research Conference of the Cantab Capital Institute for the Mathematics of Information (96.81%)

Cambridge University

Newton Gateway to Mathematics (94.13%)

Cambridge University

ACTNext Podcast (93.94%)

ACTNext Navigator

Department of Statistics (93.9%)

Oxford University

Science Communication (93.68%)

ICGEB

UC Berkeley School of Information (93.14%)

School of Information, UC Berkeley

What is it about computational communication science? (92.77%)

Emese Domahidi & Mario Haim

DigiTalk Pod (92.74%)

Chalmers Production Area of Advance

COVID Chasers (92.68%)

COVID Chasers

The Minhaaj's Podcast (92.68%)

minhaaj rehman

Within & Between (92.58%)

Within&Between Podcast

The Data Analysis Bureau Podcast (92.54%)

The Data Analysis Bureau

Methods (92.52%)

National Centre for Research Methods

Data Skeptic (92.46%)

Kyle Polich

Edge & Main (92.41%)

futureofgood

Austrian Ai Podcast (92.26%)

Manuel Pasieka

Edinburgh: Space Data Capital (92.25%)

Kim McAllister

The Analytical Wavelength (92.1%)

ACD/Labs

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) (92.09%)

Sam Charrington

The Vocabulary of Big Data (91.99%)

Cambridge University

Training_Data (91.95%)

CosmiQ Works

Computer Science (91.94%)

Oxford University

Pondering AI (91.82%)

Kimberly Nevala, Strategic Advisor - SAS

The Turing Podcast (91.75%)

The Alan Turing Institute

Micro binfie podcast (91.67%)

Microbial Bioinformatics

Stanford MLSys Seminar (91.66%)

Dan Fu, Karan Goel, Fiodar Kazhamakia, Piero Molino, Matei Zaharia, Chris Ré

Scalable inference; statistical, algorithmic, computational aspects (91.57%)

Cambridge University

Gradient Dissent (91.57%)

Lukas Biewald

Through the Human Geography Lens (91.54%)

WWHGD Support

DataLab: The Materials Informatics Podcast (91.5%)

DataLab Materials Informatics Podcast

Women in AI (91.41%)

RE•WORK

QuPodcast (91.31%)

Sri Krishnamurthy

Diaries of Social Data Research (91.28%)

Katherine A. Keith & Lucy Li

Flush to Data (91.23%)

Kris Villez and Jörg Rieckermann

How AI Happens (91.21%)

Sama

The Human and Machine Podcast (91.1%)

Element8

Data Reflections (91.05%)

WSWHE BOCES Data Analysis Service

Ethnography Atelier Podcast (90.97%)

Ruthanne Huising and Pedro Monteiro

Boundless (90.92%)

Richard Foster-Fletcher

De Dicto (90.9%)

Armins Bagrats Stepanjans

Your AI Injection (90.9%)

Deep

The Performance Audit Report (90.87%)

Yusuf Moolla

Sustainability Snippets (90.85%)

SAP SE

Machine Learning with Coffee (90.84%)

Gustavo Lujan

Data & Society (90.82%)

Data & Society

Behind Data Science (90.81%)

Big Cloud

Novel Computational Paradigms (90.8%)

Cambridge University

The Mathematics of Deep Learning and Data Science (90.79%)

Cambridge University

The Geography of Everything (90.73%)

Ronni Ravid & Zenne Hellinga

Royal Statistical Society (90.73%)

Royal Statistical Society

Minds Behind Maps (90.71%)

Maxime Lenormand

World Wide Waste with Gerry McGovern (90.66%)

Gerry McGovern

OII Bellwether Lectures (90.66%)

Oxford University

Data Science Phil (90.64%)

Philipp Packmohr

Esri & The Science of Where (90.61%)

Esri

Connect with - TrueSight Capacity Optimization Series (BCO) (90.59%)

BMC Software

THE POD CAST (Proof of Delivery) (90.58%)

Routeique Inc

Signal Integrity (90.49%)

Colin Warwick, Agilent EEsof EDA

Raising Heretics, the Podcast (90.49%)

Dr Linda McIver

No Bias (90.48%)

No Bias

Why Not Change the World? The RPI Podcast (90.45%)

Why Not Change the World? The RPI Podcast

Statistical scalability (90.44%)

Cambridge University

The Insight Podcast (90.44%)

FH Media Consulting

Towards Data Science (90.41%)

The TDS team

Imarticus Learning (90.38%)

Imarticus Learning

Satellite Superheroes (90.37%)

Scott MacKenzie

People Analytics Deconstructed (90.34%)

Millan Chicago

HumAIn Podcast - Artificial Intelligence, Data Science, Developer Tools, and Technical Education (90.32%)

David Yakobovitch

Deep Sky (90.27%)

Samuel Chandra

Invisible Ink (90.26%)

Dr. Ronald Knight-Beck

Design Despite Disciplines (90.25%)

Berkeley MDes

Practical AI: Machine Learning, Data Science (90.24%)

Changelog Media

Women in Data Science (90.22%)

Professor Margot Gerritsen, Cindy Orozco Bohorquez

Artificiality (90.19%)

Sonder Studio

SCIT Podcast (90.18%)

Admission Committee of SCIT

Imarticus Explains on how to Prepare fo (90.17%)

Vidita Mehta

Machine Learning Engineered (90.15%)

Charlie You

Brief Overview of Data Analytics and Vit Tall LLC (90.15%)

Vit Tall LLC

Data Science at Home (90.14%)

Francesco Gadaleta

Linking our Lives (90.13%)

Centre for Longitudinal Study and User Support (CeLSIUS), UCL

The Corresponding Author (90.12%)

The Corresponding Author

Earth Observation (90.1%)

mapscaping.com

Summer Institute in Computational Social Science (SICSS) 2019 (90.09%)

Oxford University

On Point with Korem (90.07%)

Korem

Ethics of Big Data (90.06%)

Cambridge University

Colper Science (90.05%)

Kambiz Chizari, Ilyass Tabiai

Recsperts - Recommender Systems Experts (90.05%)

Marcel Kurovski

Studies Show (90.04%)

Studies Show

Future of Science by DeSci Foundation (90.04%)

DeSci Foundation

PwC’s C-suite podcast (90.02%)

PwC

Engaging Ideas with Tony Kopetchny (90.0%)

ParsonsTKO

machinelrn (89.95%)

machinelrn

Bad Faith Cycles in Algorithmic Cultivation (89.95%)

Calvin H

Built + Beyond (89.9%)

Atkins, member of the SNC-Lavalin Group

Materials and Megabytes (89.88%)

Stanford Materials Computation and Theory Group, Qian Yang's lab at the University of Connecticut

Neurodesign Lecture - Artificial Intelligence and the Neuroscience of Creativity (WT 2020/21) - tele-TASK (89.88%)

various lecturers

Science 4-Hire (89.88%)

Charles Handler

The Smart Facilities Show (89.85%)

Mack Powers

How do you know? (89.81%)

Christie Bahlai

EPCC Guest Lectures (89.79%)

The School of Physics and Astronomy