The medical school is holding a Seminar on Wednesday 8th January @1400-1530
New tools and methods to prevent blindness.
Seminar room 1, Medical and Biological Sciences Building
The Melville Trust for the Care and Cure of Cancer have funded a PGR Studentship relative to the project entitled ‘Detecting high-risk smokers in Primary Care Electronic Health Records: An automatic classification, data extraction and predictive modelling approach’.
The supervisors are Prof. Frank Sullivan of the School of Medicine and Prof. Tom Kelsey of the School of Computer Science, with work commencing in September 2019. The award is for £83,875.
Title: Innovation Begins at Home
Abstract:
Prof Andy Stanford-Clark, Chief Technologist for Smarter Energy at IBM UK, will discuss the journey from Smart Metering to a future Smart Grid, incorporating the challenges of microgeneration, electric vehicles, intermittent generation, and demand-side management. Focusing specifically on energy saving in the home, Andy will talk about his own home automation system, and aspects of consumer behaviour change linked with that technology. The talk will also give details of a community energy-saving project, and the Isle of Wight EcoIsland project.
Bio:
Professor Andy Stanford-Clark is the Chief Technologist for IBM’s consulting business in Energy and Utilities for the UK and Ireland. He is an IBM Distinguished Engineer, and “Master Inventor” with more than 40 patents. Andy is based at IBM’s Hursley Park laboratories in the UK, and specialises in remote telemetry, energy monitoring and management, Smart Metering and Smart Grid technologies. He has a particular interest in home energy monitoring, home automation, demand-side management, and driving consumer behaviour change. Andy has a BSc in Computing and Mathematics, and a PhD in Computer Science. He is a visiting professor at the University of Newcastle and a Fellow of the British Computer Society.
Neil Moore obtained his PhD in Computer Science at St Andrews a couple of years ago, and is now working for Abobe.
He’ll be giving a technical talk, and describing internship opportunities at Adobe.
Title: Mutualism in software development
Abstract:
Computers are designed to be extensible at different levels: hardware can run different operating systems and operating systems are designed to expose functionality to allow third parties to write applications. It is easy to overlook extensibility at the level of application software: functionality can be added to or extracted from existing applications by third parties with no access to the source. For example: plugins, scripting environments, APIs, web services, etc.
I will talk about ways that this can benefit both the application publisher as well as third parties. I will also give practical information and examples of how this can be achieved based on my experience in working in this area for Adobe, who are heavily invested in extensibility in their products.
Professor Mari Ostendorf of the University of Washington is visiting
Edinburgh, Glasgow and St Andrews as part of a SICSA Distinguishing
Fellowship.
Title: Rich Speech Transcription for Spoken Document Processing
Abstract:
As storage costs drop and bandwidth increases, there has been rapid growth of spoken information available via the web or in online archives — including radio and TV broadcasts, oral histories, legislative proceedings, call center recordings, etc. — raising problems of document retrieval, information extraction, summarization and translation for spoken language. While there is a long tradition of research in these technologies for text, new challenges arise when moving from written to spoken language. In this talk, we look at differences between speech and text, and how we can leverage the information in the speech signal beyond the words to provide a rich, automatically generated transcript that better serves language processing applications. In particular, we look at how prosodic cues can be used to recognize segmentation, emphasis and intent in spoken language, and how this information can impact tasks such as topic detection, information extraction, translation, and social group analysis.
Kevin is the founder and CEO of RunRev, overseeing a global team and development of the Rev programming language.
This seminar has been postponed due to Kevin’s work commitments. A new date will be announced in due course.
Reverend Bayes, meet Countess Lovelace: Probabilistic Programming for Machine Learning
Andrew D. Gordon, Microsoft Research and University of Edinburgh
Abstract: We propose a marriage of probabilistic functional programming with Bayesian reasoning. Infer.NET Fun turns the simple succinct syntax of F# into an executable modeling language – you can code up the conditional probability distributions of Bayes’ rule using F# array comprehensions with constraints. Write your model in F#. Run it directly to synthesize test datasets and to debug models. Or compile it with Infer.NET for efficient statistical inference. Hence, efficient algorithms for a range of regression, classification, and specialist learning tasks derive by probabilistic functional programming.
Bio: Andy Gordon is a Principal Researcher at Microsoft Research Cambridge, and is a Professor at the University of Edinburgh. Andy wrote his PhD on input/output in lazy functional programming, and is the proud inventor of Haskell’s “>>=” notation for monads. He’s worked on a range of topics in concurrency, verification, and security, never straying too far from his roots in functional programming. His current passion is deriving machine learning algorithms from F# programs.
Mobility in vivo
Barry Brown, Co-director Mobile Life, University of Stockholm
barbro.tumblr.com
The Mobile VINN Excellence Centre
Abstract
Despite the widespread use of mobile devices, details of mobile technology use ‘in the wild’ have proven difficult to collect. For this study we uses video data to gain new insight into the use of mobile computing devices. Screen-captures of smartphone use, combined with video recordings from wearable cameras, allow for the analysis of the detail of device use in a variety of activity and settings. We use this data to describe how mobile device use is threaded into other co-present activities, focusing on the use of maps and internet searches to support users on a day-trip. Close analysis of the video data reveals novel aspects of how gestures are used on touch screens, in that they form a resource for the ongoing coordination of joint action. We go on to describe how the local environment and information in the environment are combined to guide and support action. In conclusion, we argue for the mobility of mobile devices being as much about this interweaving of activity and device use, as it is about physical portability.
Room 1.33a at 2:00 pm on Friday 7th September 2012
Abstract:
In the field of natural language parsing, the syntax of natural languages is
modeled by means of formal grammars and automata. Sometimes these formalisms
are borrowed from the field of formal language theory and are adapted to the
task at hand, as in the case of context-free grammars and their lexicalized
versions, where each individual rule is specialized for one or more lexical
items. Sometimes these formalisms are newly developed, as in the case of
dependency grammars and tree adjoining grammars. In this talk, I will
briefly overview several of these models, discussing their mathematical
properties and their use in parsing of natural language.
Research by Tom Kelsey and colleagues from Glasgow and Edinburgh into normative models of hormone levels has been featured in the Daily Telegraph, the Scotsman, and the Express. Read the original paper here.
