Computer systems & architectures | The Alan Turing Institute

Projects

Zips

Posterior bootstrap: A scalable approach to Bayesian non-parametric learning

Providing an open-source tool to make non-parametric statistical inference faster and more accurate

Graph analytics

Optimising analysis of network graphs

Investigating how to optimise software that allows for the analysis of complex data networks on state-of-the-art processors

Large pipes across landscape

Sustainable infrastructures

Combining reliable sensing technologies with online data analytics to improve real-time sustainability and resilience of infrastructures

People in a station

Human-centric sensing

Achieving flexible, economical, and large-scale human-in-the-loop sensing, such as mobile crowdsensing

Robot tending to plants

Adaptive machine learning for changing environments

Developing adaptive machine learning techniques that can adjust and guide the design, construction and maintenance of critical infrastructures

Regression plot

High performance, large-scale regression

Investigating the effectiveness of distributed computer systems for running regression analysis, a process which determines the relationships between large numbers of variables

A person checking a data server

Predicting data centre system failures

Analysing data centre resource use and failure logs to better understand how and when failures occur, and how best to mitigate them

Stacking pebbles

Co-designing algorithms and computer architecture

Designing hardware to suit the needs of data science algorithms, which will similarly be designed to suit the capabilities of the hardware

People

Feargus Pendlebury

Enrichment Student

Jin Wang

Enrichment Student

Dr Michael Barnes

Turing Fellow

Julie McCann

Professor Julie McCann

Data-Centric Engineering Strategic Leader

Suhaib Fahmy

Dr Suhaib Fahmy

Turing Fellow

Events

Nasa Sea View

Webinar: Edge computing for Earth observation

Tuesday 17 Mar 2020

Time: 10:00 - 18:00

Daniel Andre Kin K. Leung Michael Woollard Noa Zilberman Phillip Stanley-Marbell Pui Anantrasirichai Richard Walters Rob Mullins Sam Doody Tim Wright Victoria Nockles

Man and robot

Robotics and AI for health and social care

Monday 28 Oct 2019 - Tuesday 29 Oct 2019

Time: 10:00 - 17:30

Alessandro Di Nuovo Borghese Nunzio Alberto Farshid Amirabdollahian Katrin Solveig Lohan Luc de Witte Praminda Caleb-Solly Ray Jones Amelia DeFalco Erica Palmerini Yoshio Matsumoto, Samia Nefti-Meziani

Data Visualization

Visualization for data science and AI

Friday 13 Sep 2019

Time: 09:45 - 18:30

Jörn Kohlhammer

alvaro-pinot

Secure computation with RAMs: revisiting square root ORAM and low leakage secure Boolean queries

Tuesday 22 Aug 2017

Time: 18:37

computer motherboard

Masterclass: Intel Training Day

Monday 15 May 2017

Time: 18:37

abstract part of a building

Short Talks: Cyber-Physical Systems and Monte Carlo Algorithms

Thursday 02 Mar 2017

Time: 17:37

Blue balls

Turing Lecture: Statistics, decision-making and privacy

Monday 05 Dec 2016

Time: 13:30 - 17:00

Impact stories

Two people in a data centre

Co-designing computing

High-performance computing (HPC) environments such as data centres can be ill-equipped to deal with data science tasks, so Turing researchers collaborated with Intel to co-design better architecture for their HPC systems

Interest groups

Graphs

Visualization

How can we gain insight into ever-growing datasets and see the reasoning behind automated AI decision-making?

Programmes

People brainstorming on a table

Tools, practices and systems

Building open source infrastructure to empower a global, decentralised network of people who connect data with domain experts.

Bletchley Park bombe closeup

Research Engineering

Connecting research to applications, helping create usable and sustainable tools, practices and systems.

Aerial view of a city at night

Data science at scale

Building upon advances in high-performance computer architectures, through algorithm-architecture co-design, with applications including health and life science.