uprocessing
of complex structures representing knowledge with neural networks
umost
NNs are based on vectors, and canšt represent knowledge easily
urecurrent
NNs are more powerful, but also more difficult to handle
uexperimentation
with various types of NNs to evaluate their suitability
vbio-informatics
(drug discovery, genome sequencing)
vknowledge
management (ontologies, relationships between documents)
uBackground:
AI, specific domain
uFunding:
None now