Computer Science News Archive
Jan Kautz’s co-authored paper "Local Laplacian Filters: Edge-aware Image Processing with a Laplacian Pyramid" is featured on the cover and in the research highlights of Communications of the ACM.
The technique is outlined in a video presented by co-author Sylvain Paris and in the abstract below.
The Laplacian pyramid is ubiquitous for decomposing images into multiple scales and is widely used for image analysis. However, because it is constructed with spatially invariant Gaussian kernels, the Laplacian pyramid is widely believed to be ill-suited for representing edges, as well as for edge-a... [more]
Dr Jade Alglave, Lecturer and member of the Programming Principles, Logic & Verification Research Group at UCL Computer Science, has been named as the winner of the Brian Mercer Award for Innovation by the Royal Society.
The award funds researchers to build on their concepts to bring new ideas to market, and aims to promote links between the academic community, business and industry.
Dr Alglave’s research into multiprocessor technology has led to the development of .cat, a standard verification format for hardware chips.
Multiprocessors by ARM, AMD, IBM, Intel, or NVidia are found in device... [more]
We are delighted to welcome award winning tech company DUCO as sponsors for 2015 Undergraduate Prizes for second and final year students.
Computer Science second and final year Undergraduates will be rewarded for academic excellence with cash prizes kindly donated by our sponsor DUCO - a London-based fintech company that helps banks outsource reconciliation processes.
DUCO's sponsorship for second year prizes is based on students work on real life projects with leading industry clients. This culminates in a showcase of our students' "Proof of Concepts" with a series of live demos, presentation... [more]
Bupa and University College London (UCL) are pleased to announce their new collaborative project, the Global Institute for Digital Health Excellence (GLIDHE), combining Bupa’s global health expertise with UCL’s research capabilities.
With the intention of reducing global demands on healthcare and improving quality of life, GLIDHE will research, create, test and evaluate innovative, commercially sustainable digital tools which promote healthier lifestyles. The aim is to improve the lives of millions of people and create a significant evidence base to shape the future of digital health.
UCL will be one of five academic partners for the new Alan Turing Institute for Data Science. Based at the new King’s Cross Knowledge Quarter, the national Institute will draw together computer scientists, mathematicians, statisticians and more to work on this key driver for the economy.
Named after the World War Two codebreaker and mathematician, also the subject of a recent biopic, the Alan Turing Institute was proposed by the Engineering and Physical Sciences Research Council (EPSRC) on behalf of the UK government. It will be housed in the British Library initially before moving to a purpo... [more]
SnapIT is a camera triggering app developed by UCL MSc. Computer Science students Jack Armstrong, Abhishek Ambastha and Matt Arneil, for their projects associated with an app development module. For this course, students team up with industry, in this case, Triggertrap, to deliver innovative and forward thinking software solutions.
SnapIT allows Windows phone users to trigger their DSLR camera with their Windows device, after connecting them with the Triggertrap dongle, available here:
SnapIT provides a number of functions that ... [more]
UCL and i-sense have joined forces with Google to contribute to the earlier global detection of influenza outbreaks.
Each year, seasonal influenza affects many thousands of people in the UK and millions worldwide, producing symptoms ranging from those similar to a common cold through to very severe symptoms and in some cases, death. In contrast, pandemic influenza is unpredictable and has the potential to cause severe illness and death in large numbers.
In the 2014 Research Excellence Framework (REF) evaluation UCL was ranked in first place for Computer Science, out of 89 Universities assessed, and considerably ahead of other Institutions. 61% of its research submission is rated as world-leading (the highest possible category) and 96% of its research submission is rated as internationally excellent.
UCL researchers in Computer Science and Informatics received a ‘grade point average’ of 3.57 (out of 4) and submitted 75 staff to be assessed in REF2014. UCL Computer Science has made seminal contributions across the full range of its core stre... [more]