KMi Seminars
Building the future with weapons of maths construction
This event took place on Thursday 18 November 2004 at 12:30

 
Prof. Harold Thimbleby Computer Science Department, University of Wales, United Kingdom

Computers are complex, unreliable and occasionally dangerous. What can be done?

Familiar handheld calculators represent a microcosm of how computers are used, misused and misunderstood - and how we are stuck in the past. Calculators are so popular we hardly think about them. Indeed, desktop PCs, both Macintosh and Windows - powerful computers - simulate them, presumably because nobody has thought of any better ways of working.

Yet try working out 4x-5 on almost any calculator, and you will get -1; not the correct answer by any means! There are clearly some assumptions at play that need questioning.

This talk explores the problems --- how they affect school teaching and how we should teach university computer science. More importantly than pointing out problems, though, the talk will go beyond today's calculators to demonstrate a novel approach that will change the way we interact with computers. The new approach not only gets the maths right, but can be used on handheld devices or in the classroom, and is surprisingly engaging to use.

Please bring your own calculator, PDA or mobile phone to join in!

This talk will be of interest to anyone whose work involves a calculator or computer, including teachers, lecturers, and especially mathematicians and computer scientists.

 
KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

Visit the MMIS website