Date: Sep 13, 1994
Venue: Hong Kong University of Science and Technology, Hong Kong
Speaker: Jeffrey D. Ullman
Title: Future Directions in Computer Science Research
- Understanding and Generating Natural Language
- Grand Challenges:
- Machine translation with high accuracy, in a significant domain.
- Retrieval of information from text, answer question about content
of document.
- Research Topics:
- NLP - representing and modelling of information
- Speech recognition
- Computational Modelling and Prototyping
- Grand Challenges:
- Concurrent engineering: system including design aids, design
information resources, virtual assemble, virtual testing, device
simulation. "Enginerring's associate": logical reasoning tools
for guiding design.
- Modelling of design of drugs or other chemicals
- Weather prediction: a chaotic problem.
- Research Topics:
- Numerical, non-numerical, hybrid computing to support modelling
and prototyping.
- Graphics and visualization - development of algorithm rather
than waiting for super-computer.
- Mobil, Autonomous, Cooperating robots
- Grand Challenges:
- Robots in construction
- Service robot for routine task such as delivery within buildings,
clean-up, etc.
- Robots for operating in hostile environment
- Research Topics:
- Vision and sensing
- Planning and programming
- Mechanical technology
- Adaptive computing
- Making Information Intra-structure More Usable
- Grand Challenges:
- New models of education: education product that is inexpensive,
on-demand, interactive, with feedback from a live person in
case of need.
- Electronic library and information tools
- Clinical decision and management systems.
- Building Large Software System
- Grand Challenges:
- Significant improvement in the efficiency and reliability of
software of software development.
- Use complex specification
- Significant improvement in the maintainability of software.
- Research Topics:
- Software tools and languages
- Formal methods for software specification and verification.