MathWorks Adds Support for NVIDIA GPU Cloud (NGC) and DGX Systems

posted 28 Nov 2018, 02:48 by Desmond M Ryan

Deep Learning Software Engineer Intern (Cambridge)

posted 22 Nov 2018, 02:00 by Desmond M Ryan

Opportunity for a 3 month Deep Learning internship at Mathworks (Cambridge) commencing in June 2019

Use the following link for more information and application procedure.



MATLAB & Simulink Academic Resources and Events | November 2018

posted 15 Nov 2018, 07:45 by Desmond M Ryan   [ updated 15 Nov 2018, 08:02 ]

N8 HPC becomes N8 CIR

posted 6 Nov 2018, 23:05 by Michael K Griffiths

On Tuesday 6th November the rebranding of N8 HPC took place, N8 HPC is now N8 CIR.  The new website has now been launched and will be developed over the next few weeks.


One of the first events is the New Horizons in Materials Modelling, 10:00 - 17:00 on Friday 4th Jan 2019 at the Bar Convent, York. For further details and to register visit the N8 CIR events page https://n8cir.org.uk/events/.

The new director of N8 CIR, Professor Matt Probert has provided the following message:

As the new Director of N8 CIR  [the N8 Centre of Excellence in Computationally Intensive Research] , I wanted to let you know about this new initiative and what has been happening over the summer. As you will be aware, the N8 Polaris supercomputer has been turned off. We had hoped to have a replacement service, funded by the different universities, but this has not proved possible due to HMRC and VAT complications. I’m sure this will be a disappointment for you, but unlike the position when we started the Polaris service years ago, there is now much better provision for HPC within the different universities and across the UK with the new Tier-2 service, so hopefully your research will not be too affected. We are therefore winding up the N8 HPC initiative. I hope you will join me in thanking Prof Chris Taylor (Manchester) and Prof David Hogg (Leeds) who have led the creation and running of N8 HPC and the Polaris facility during this time.

  However, the good news is that we have launched a new initiative, called N8 CIR, which should benefit many more N8 researchers and not just those who use HPC.  The aim of N8 CIR is to help N8 researchers gain a competitive edge in their research. It will do this by building communities of practice in various research topics; developing computational skills, software and training for researchers in many disciplines; facilitating access to HPC resources both locally and nationally; and will support all this with a network of Research Software Engineers. This is an exciting time, with a combination of local and N8-wide activities in the next few months, so please watch out for announcements, and get involved - there will be various opportunities for you to have your say in the near future.

To support this new Centre there is a new website (https://www.n8cir.org.uk) and a new mailing list (https://n8cir.org.uk/contact/) which I encourage you to sign up to as we build this wider community.

  Thank you for your support of N8 HPC over the years, and we hope you will continue to engage with N8 CIR in the future - and that it will prove even more useful to you than N8 HPC!

       Prof Matt Probert (Director, N8 CIR)

Sheffield R Group - Tues 6th Nov - Tools for comparative analysis – visualisation and deep learning

posted 1 Nov 2018, 04:21 by Michael K Griffiths

Tues 6th Nov. 5.30–7.30 pm, The Red Deer, 18 Pitt Street, Sheffield

The Sheffield R group meetup this month features a comparative analysis double bill, with an introduction to phylogenetic comparative analysis and visualisation in R from Chris Cooney and machine learning approaches to image categorisation (with a python flavour) from Yichen He.

Phylogenetic comparative analysis and visualisation in R

Chris Cooney is a postdoc in the Department of Animal and Plant Sciences at the University of Sheffield working on evolutionary questions related to the diversification of birds. Central to this work are phylogenies ('trees' showing the evolutionary relationships among species) and large, multidimensional datasets capturing variation in organisms' phenotypic traits. In his talk, Chris will present some useful tools for analysing and visualising phylogenetic comparative data in R (e.g. ape, phytools, MCMCglmm), and provide a brief discussion of some of the challenges (and opportunities) associated with analysing complex – and slightly unusual – datasets of avian traits, including 3-D scans of bill morphology and calibrated digital photographs of plumage colouration for the majority of the world's 10,000 bird species.

Deep learning on labelling bird plumage images

Yichen He is a PhD student in the Department of Animal and Plant Sciences at the University of Sheffield. His research interests encompass computer graphics, computer vision and machine learning. In this talk he'll demonstrate using the python package tensorflow to label bird plumage images automatically.

For full details and to register see:

Hope to see you there!
Sheffield R Users Group
@Sheffield_R_
http://sheffieldr.github.io/

Fundamentals of Deep Learning for Computer Vision Workshop on 28th November

posted 1 Nov 2018, 04:19 by Michael K Griffiths

Fundamentals of Deep Learning for Computer Vision Workshop

The NVIDIA Deep Learning Institute (DLI) and Research Software Engineering Sheffield (RSES) are excited to deliver a hands-on deep learning workshop on the 28th of November 2018, exclusively for verifiable academic students, staff, and researchers. The workshop will be held in Computer Room 4 (Room 2.06) on the 2nd floor of the Diamond building.

In this full-day workshop, you’ll learn the basics of deep learning by training and deploying neural networks. You’ll learn how to:

  • Implement common deep learning workflows, such as image classification and object detection.

  • Experiment with data, training parameters, network structure, and other strategies to increase performance and capability.

  • Deploy your neural networks to start solving real-world problems.

Upon completion, you’ll be able to start solving problems on your own with deep learning.


Content level: Beginner


Pre-Requisites: Technical background and basic understanding of deep learning concepts. Knowledge of Python is helpful but is not a requirement.

 

Platforms: Nvidia DIGITS and Caffe


Register for the workshop

NVivo Cafe this term

posted 30 Oct 2018, 09:50 by Jean M Russell

NVivo Cafe is for researchers who are working in NVivo regardless of the type of analysis they are doing. It is a chance to work on your projects with other people who are also working in NVivo and with someone to answer queries that arise.  Bring your own project to work on. You can either bring your own laptop or use one of the machines in the room. Coffee, tea and biscuits are available. As qualitative analyses usually take several months to complete you are encouraged to attend more than one of these if you want to. These drop in sessions carry no credit but hopefully provide and environment conducive to getting on with your analysis.

Dates remaining this term are Thursday 8th November and Tuesday 27th November. They run from 2:00 pm to 4:00pm in room 108 in the Computer Centre.

Training for Research Computing for 2018-2019

posted 25 Sep 2018, 23:46 by Michael K Griffiths

Over the next academic year CICS are providing a range of courses to enable researchers to utilise research computing facilities hosted and supported by The University of Sheffield.

The first course is an  Introduction to High Performance Computing, this course is ideal for students requiring an introduction to the central research computing facilities at Sheffield. This course starts on the 11th October 2018.

To obtain more information on these courses and to register please visit the following link
http://www.shef.ac.uk/cics/research/training/ddp

The following courses are available
 As well as providing a range of courses on data and statistical analysis tools such as R, SPSS and NVIVO, we host courses which are run by external providers such as the National High Performance Computing centres (Archer, EPCC). There is also a range  of online training material which students and researchers may access.

For information on these courses please  visit
http://www.shef.ac.uk/cics/research/training

Bioinformatics Core: Training Courses

posted 25 Sep 2018, 01:04 by Michael K Griffiths   [ updated 16 Oct 2018, 00:37 ]

Training courses run by the Bioinformatics core

See also

1 day bash scripting workshop, 7th November
A one day workshop on bash scripting is being held from 10 am to 5pm on Wednesday 7th of November (reading week) in Gallery room 4 of the students union. It's open to members of staff, post docs and PhD students.


The workshop assumes some experience with working on Linux systems, e.g. passing familiarity with commands such as lscd, and mv, and attendees will need to bring a laptop that can run Linux.

Lunch will be provided.

Schedule

10:00 Unix Shell recap
10:30 Loops in the Unix Shell
11:00 Exercises with loops
11:15 Refreshments
11:30 Regular Expressions
12:30 Lunch break
13:00 Short Introduction to sed & awk
15:15 Refreshments
15:30 MakeFile
16:30 Wrap-up
17:00 Finish

Fundamentals of Deep Learning for Computer Vision Workshop in Sheffield on 24th and 25th September

posted 17 Sep 2018, 23:46 by Michael K Griffiths

The NVIDIA Deep Learning Institute (DLI) and Research Software Engineering Sheffield (RSES) are excited to deliver two hands-on deep learning workshops on the 24th and 25th of September 2018, exclusively for verifiable academic students, staff, and researchers. The workshop will be held in Computer Room 4 (Room 2.06) on the 2nd floor of the Diamond building.

In this full-day workshop, you’ll learn the basics of deep learning by training and deploying neural networks. You’ll learn how to:

  • Implement common deep learning workflows, such as image classification and object detection.

  • Experiment with data, training parameters, network structure, and other strategies to increase performance and capability.

  • Deploy your neural networks to start solving real-world problems.

Upon completion, you’ll be able to start solving problems on your own with deep learning.

Content level: Beginner

Pre-Requisites: Technical background and basic understanding of deep learning concepts

The contents of the workshops are the same for both dates so please only register for a single workshop per person.


Register for the workshop on the 25th of September

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