Use of advanced
computing platforms, architecture, and / or software to perform
tasks that demand high computational power. Interest areas include:
• Grid-computing
• Quantum computing
• Clustering computing
• Distributed computing
• Parallel computing
• Optical processing
• ASIC-1 or FPGA2-based computing architecture for scalable
massive parallel computation
Machine
Learning
• Application of machine
learning (neural networks,
fuzzy systems etc.) to data analysis
• Text mining
• Information extraction
• Content categorization and clustering, among others
Link
Analysis/Data
Mining/Information Extraction
Time-critical and non-time-critical
methodologies and approaches for complex link discovery and
identification of hidden patterns within large data sets. Areas of interest include:
• Text categorisation
• Clustering
• Entity extraction
• Taxonomy
• Pattern recognition
• Anomaly detection
Machine Translation
of Languages
• Innovations in language translation
of unstructured text
and with minimal human intervention.