| EPSRC Reference: |
GR/R69655/01 |
| Title: |
Machine Intelligence Workshop 18 (MI 18) September 2001 |
| Principal Investigator: |
Frisch, Dr A |
| Other Investigators: |
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| Department: |
Computer Science |
| Organisation: |
University of York |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
19 September 2001 |
Ends: |
18 December 2001 |
Value (£): |
15,200
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Tools for the biosciences |
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| EPSRC Industrial Sector Classifications: |
| Pharmaceuticals and Biotechnology |
No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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The theme of the 18th Machine Intelligence Workshop this year will be Biological aspects of Machine Intelligence , and will be held at the King' Manor, York from 19-21 September 2001. The theme combines two of the outstanding strengths of UK science. That is, Artificial Intelligence on the one hand, and Biological and Genomic sciences on the other. Coming close on the heals of the comletion of the first draft of the human genome, the workshop will act as a strategic meeting between members of the Biological and Computing Communities. In this context, we are pleased to have participation of not only Richard Durbin (Head of the Sanger Centre, Hinxton, UK), but also Prof Satoru Miyano (Human Geonome Center, Tokyo, Japan). The publication, earlier this year, of the first draft of the Human Genome has focussed attention onto he need for computational techniques to be used for analysing and annotating the raw genome data. Beyond the assignment of gene and protein function, there is a growing need for computational support in SystemsBiology, understanding the role of genetics in complex biological cell system behaviour. There is a string requirement for techniques which can handle and learning uncertain and imprecise models from partial data. Techniques drawn from Artificial Intelligence are likely to play a key ongoing role thecollation, revision and updating of such scientific models.
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Potential use in non-academic contexts |
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| Description |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.york.ac.uk |