Technological Trends and Future Talent
The faculty summit will highlight current technological trends, such as cloud-client computing, natural user interaction, and the challenges of large data and its visualization. The demand for training in these fields presents challenges as well as opportunities for developing new talent for the future.
Presentations and discussions will focus on how technology is helping solve issues that society is facing and how to train the future talent to meet societal needs. Participants will have the opportunity to interact directly with visionaries working in these important technical areas and to communicate directly with researchers who are involved in some of the most exciting technologies.
Below are a few of the many topics to be discussed during the Microsoft Research Asia Faculty Summit 2010:
- Cloud-Client Computing. The emergence of cloud computing is an active topic in research and the global industry. What is the impact on hardware advances, computing architectures, data centers, infrastructures, software applications, and intelligent search engines? How do these effects advance the whole ecosystem? How will the proliferations of mobile devices, especially sensor-enabled programmable devices, change the IT industry?
- Natural User Interaction. Emerging technologies will help users manage complexity and interact with computers more intuitively. Advances in vision and perception, gesture and other interaction modalities, real-time natural language processing, and integrative intelligence are leading to systems that anticipate user intent rather than just reacting.
- Challenges of Large Data. To embrace the sweeping changes affecting technical productivity, we will need innovative new platforms for environmental science, astronomy, and nearly every other discipline. Advanced new platforms and visualization tools are now essential for effectively and intelligently processing and analyzing the enormous amounts of data available to researchers.
- Talent Development. With the added complexity and advancements in multiple computing technologies and the increased need for diversified skills, talent development for future researchers has become more important. How can this talent be identified, trained, and inspired? What investments are needed at universities and in curriculums to respond to these changes and demands for future generations? How will the industry and academic communities respond to these challenges?